System Architecture jobs in Tunisia

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> <b><span>Viseven Group</span></b><span> is a leading global B2B MarTech service provider, empowering Pharma and LifeScience companies since 2009. Our mission is to drive digital transformation and excellence, offering comprehensive end-to-end software and digital marketing services tailored to the pharmaceutical industry. The company's solutions, products, and services are actively used by the top 100 Pharma and Life Science companies.</span><br><span>At Viseven, our rapidly growing team boasts over 700 highly skilled professionals, including experts in development, design, business analysis, project management, delivery, sales, marketing, and customer success.</span><br><span>With a global footprint in more than 30 countries across the US, LATAM, Europe, and APAC, and physical offices in Ukraine, Poland, Estonia, India, and the US, we are well-positioned to serve our diverse clientele.</span><br><span>Join us and become part of a pioneering team dedicated to shaping the future of digital transformation in Pharma and Life Sciences across more than 50 countries around the globe.</span><br> <p>We are looking for a <strong>Middle </strong><strong>Full Stack Developer</strong>&nbsp;to join our team and contribute to the development of AI-powered solutions.</p><br> <p>In this role, you’ll work on well-defined tasks of moderate complexity, collaborating with experienced engineers and receiving guidance and code reviews. You’ll contribute to larger AI initiatives and help build reliable, scalable applications powered by modern Generative AI technologies.</p><br> <br> <br><br><p><b>Responsibilities:</b></p><br><ul><li> As a Middle Full stack Engineer, you'll work on well-scoped tasks of moderate complexity, with guidance and code review from senior engineers, contributing to larger AI initiatives owned by the team.<br>- Develop and integrate AI agents with tool-use, memory, and context management, leveraging LangChain, LangGraph, and LangSmith frameworks, and integrating with foundational Large Language Models (LLMs).<br>- Integrate LLMs with external tools, APIs, knowledge sources, and enterprise systems.<br>- Contribute to building retrieval layers (e.g., hybrid search, vector search, metadata filtering) optimized for LLM consumption.<br>- Stay up to date with modern technologies and best practices for building Gen AI-based applications.<br><br></li> </ul><br><p><b>Required skills &amp; knowledge:</b></p><br><p>- Proficiency in TypeScript and Node.js.<br>- Good understanding of software design principles, design patterns, and modern development best practices.<br>- Experience with NoSQL databases; familiarity with vector databases (OpenSearch a plus).<br>- Familiarity with AI agent workflows (tool-use, memory, and context management), or a strong interest in building them.<br>- Basic understanding of agentic behaviors and patterns, such as planning, retrieval, and self-correction.<br>- Exposure to LangChain and/or LangGraph libraries (or a strong willingness to ramp up quickly).<br>- Understanding of RAG workflows; hands-on experience is a plus.<br>- Familiarity with evaluation and testing approaches for AI systems.</p><br> <p>Nice to have:<br>- Experience working with a microservices-based architecture.<br>- Experience with AWS (S3, Lambda, ECS, Bedrock).<br>- Experience with Docker &amp; Kubernetes.<br>- Python knowledge.</p><br> <br> <br><br> </div>

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> Result of Service<br>The consultant will contribute to the preparation of interior design plans for the homes built and distributed by the government to vulnerable families with a member who has a disability. The homes were constructed as part of the National Social Housing Program. The renovation work will focus on adapting these housing units to the specific type of disability. This will be done in consultation with UN-Habitat, the Tunisian Ministry of Equipment and Housing.<br> Work Location<br>Tunis, Tunisia<br> Expected duration<br>12 months<br> Duties and Responsibilities<br>Organizational Setting The mandate of the UN-Habitat Sub-Regional Office in Tunisia is to provide policy advice, technical cooperation and capacity building, especially to empower and support the most vulnerable populations. In line with the key impact area of UN-Habitat's Strategic Plan 2026 - 2029 by identifying SDG localization and participatory multilevel governance as one of its key means of implementation. With a focus on delivering adequate housing, basic services and land for all, the Strategic Plan recognizes that accelerating the 2030 Agenda requires stronger multilevel governance collaboration, inclusive governance systems that engage communities, and the scaling up of local and regional solutions to drive systemic transformation. Tunisia is home to more than 500,000 Persons with different types of disabilities. People with disabilities experience multiple and intersecting forms of social, economic, and political exclusion, which leads to deprivation in access to education, clean water and sanitation, shelter, and waste of human and productive potential. The strains of institutional (affordable housing, services, land rights), structural (gender, age, ethnicity), and spatial (regional imbalance, mobility, congestion, recreation) inequalities are pushing the vulnerable, marginalized, and impoverished into intergenerational cycles of exclusion. People with disabilities are often not ‘planned for’ as the default intended users and inhabitants of cities and their public spaces, which is reflected in the planning, designing, and maintenance of urban spaces and facilities. This is exacerbated by the lack of participatory and people-centric planning processes, as well as the limitation of accurate disaggregated sex and disability data, especially concerning women and girls with disabilities. There is a limited sensitization, awareness, and technical capacity in understanding the diverse requirements of Persons with disabilities, and how these requirements would be incorporated in the urban development agenda. This holds both in the public sector as well as among private sector players involved in ground-level housing implementation in the country. The Specific Program for Social Housing led by the government of Tunisia aims to eradicate 10,000 rudimentary dwellings and replace them with decent housing, noting that 7,353 dwellings have so far been delivered to beneficiaries, in addition to the distribution of 13,400 social housing units and lots. This specific program does not accommodate the universal needs of the People with disabilities. For this reason, the project has identified two main pilot areas which require attention and intervention of the project. Reporting Line The consultant will be working under the direct supervision of the Head of Tunisia office   Duties and Responsibilities Under the overall supervision of the Head of UN-Habitat Tunisia office in close coordination with the project team and Ministry of Equipment and Housing team, the expert will prepare the interior design of housing, propose the improvement of the access to the house unit and the installation of external equipment. The consultant will undertake the following duties and responsibilities: 1. Housing Assessment and Accessible Interior Design Plan for the Beneficiary • Conduct an assessment of the beneficiary’s housing situation and how it meets the needs of the person with a disability • Develop an interior design plan for the house to make it suitable for the beneficiary's mobility and access. 2. Coordination and Oversight of Accessibility Modification Works and Implementation Activities Planning and Coordination of Accessibility Works • Liaise with contractors, suppliers, and relevant stakeholders. • Schedule and coordinate all approved housing modification activities. Monitoring and Quality Assurance of Implementation • Supervise the progress of works to ensure compliance with the approved design and accessibility requirements. • Conduct inspections and verify that completed modifications meet the beneficiary’s mobility and access needs. 3. Capacity Building on Inclusive Design Standards for Different Types of Disabilities Develop and Deliver Training on Disability-Specific Design Standards • Provide training on accessibility and universal design principles for different disability types (physical, visual, hearing, intellectual, and psychosocial disabilities). • Adapt training materials to the needs of beneficiaries and NGOs. Practical Guidance and Awareness Sessions • Conduct workshops and demonstrations on applying inclusive design standards in homes, community facilities, and service environments. • Strengthen the capacity of beneficiaries and NGOs to identify and advocate for accessible and disability-inclusive solutions.<br> Qualifications/special skills<br>An advanced university degree (master’s or equivalent) in Architecture, or a related field is required. A first-level university degree, combined with two (2) additional years of qualifying experience, may be accepted in lieu of an advanced university degree. At least 5 years of professional experience in Architecture is required. Experience working with governments and participatory planning processes is desirable. Experience in designing and piloting works for people with disabilities, is desirable.<br> Languages<br>Fluency in oral and written Arabic and French is required. Knowledge of English is an asset.<br> Additional Information<br>Not available.<br> No Fee<br>THE UNITED NATIONS DOES NOT CHARGE A FEE AT ANY STAGE OF THE RECRUITMENT PROCESS (APPLICATION, INTERVIEW MEETING, PROCESSING, OR TRAINING). THE UNITED NATIONS DOES NOT CONCERN ITSELF WITH INFORMATION ON APPLICANTS’ BANK ACCOUNTS.<br><br><br> </div>

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> <b>Position:</b>CCoE, Cloud Architect<br><b>Job Description:</b><p>The Cloud and AI Center of Excellence is the technical resource for helping partners grow and manage their cloud business. As a member of this integral team you will be exposed to all the hyperscalers and many ISVs that reside in that ecosystem. You will also understand how partners work with these providers to design and implement innovative solutions for the SMB and Enterprise.<br>You will become a trusted advisor and guide for driving revenue at scale through ArrowSphere, our cloud management platform.</p><br><br><br><p><b>What You'll Be Doing</b></p><br><br><ul><li>Consult, develop and implement technical and related sales enablement plans with partners and internal/external customers to support revenue and margin goals.</li><li>Provide Technical Support, complex sales tool configurations, and systems design to implement systems software solutions and/or products.</li><li>Conduct partner and sales technical team training. Assist Arrow customers and partners with technical certifications, or with product/technology demonstrations.</li><li>Obtain training and maintain knowledge of industry standards, new technologies and current issues.</li><li>This job profile requires the assignment and participation in a sales compensation plan. &nbsp;A portion of OTE will be variable and tied to specific sales-related goals as set forth by Arrow.</li></ul><br><p><b>What We're Looking For</b></p><br><br><ul><li>Certified Solutions Architect or Solutions Engineer in at least one of the major hyperscalers is required.</li><li>Experience and knowledge working with partners in the cloud ecosystem is required.</li><li>Required to travel up to 50% of the time.</li><li>Requires in-depth knowledge and experience</li><li>Solves complex problems; takes a new perspective using existing solutions</li><li>Works independently; receives minimal guidance</li><li>Acts as a resource for colleagues with less experience</li><li>Represents the level at which career may stabilize for many years or even until retirement</li><li>Uses best practices and knowledge of internal or external business issues to improve products/services or processes</li><li>Typically resolves complex problems or problems where precedent may not exist</li><li>Often leads the work of project teams; may formally train junior staff&nbsp;</li><li>Works independently</li></ul><p><br><b>Experience / Education</b></p><br><br><p>Typically requires a minimum of 5 years of related experience with a 4 year degree; or 6 years and an advanced degree; or equivalent experience.</p><br><br><br><p><b>Work Arrangement</b></p><br><br><p><span><span>Fully Remote: Must be able to travel to an Arrow office location as requested by Arrow leadership.&nbsp;</span></span></p><br><br><br><p><b>What's In It For You</b></p><br><br><p><span><span>At Arrow, we recognize that financial rewards and great benefits are important aspects of an ideal job.</span><span>That’s</span><span>why we offer competitive financial compensation, including various compensation plans and a solid benefits package.</span></span></p><br><br><ul><li><span><span>401k, With Matching Contributions</span></span></li><li><span><span>Short-Term/Long-Term Disability Insurance</span></span></li><li><span><span>Medical, Dental, Vision Insurance</span></span></li></ul><br><ul><li><span><span>Health Savings Account (HSA)/Health Reimbursement Account (HRA) Options</span></span></li><li>Reinstatement return eligible</li><li><span><span>Paid Time Off</span></span><span><span>(including</span><span>sick</span><span>, holiday, vacation, etc.)</span></span></li><li><span><span>Tuition Reimbursement</span></span></li><li><span><span>Growth Opportunities</span></span></li><li><span><span>And more!</span></span></li></ul><br><br><b>Annual Hiring Range/Hourly Rate:</b><br>$115,800.00 - $160,050.00<br><p><span>Actual compensation offer to candidate may vary from posted hiring range based upon geographic location, work experience, education, and/or skill level. The pay ratio between base pay and target incentive (if applicable) will be finalized at offer.</span></p><br><br><b>Location:</b>US-CO-Colorado (Remote Employees)<br>Remote work employees may be required to be present at the closest designated Arrow office for work-related purposes, at the Company’s request and sole discretion.<br><b>Time Type:</b>Full time<br><b>Job Category:</b>Sales<br><b>EEO Statement:</b><p><span>Arrow is an equal opportunity employer. All applicants will be considered for employment without attention to race, color, religion, gender, age, sexual orientation, gender identity, national origin, veteran or disability status.&nbsp;</span>(Arrow EEO/AAP policy)</p><br><br><p><br><i>All Arrow job postings are for existing job vacancies</i>. <i>We anticipate this requisition will be open for a minimum of five days, though it may be open for a longer period of time. We encourage your prompt application.</i></p><br><br><br><p><i><span>In any materials you submit, you may redact or remove age-identifying information such as age, date of birth, or dates of school attendance or graduation. You will not be penalized for redacting or removing this information.</span></i></p><br><br><br> </div>

<p>Identify, assess, and implement AI use cases within SAP business processes, applications, and enterprise environments. Design and develop AI-enabled solutions using SAP Business AI capabilities and SAP BTP services. Develop and integrate applications leveraging SAP AI Core, AI Launchpad, Generative AI Hub, and other relevant SAP AI services, where appropriate. Integrate Generative AI and Large Language Model (LLM) capabilities into SAP applications and business processes using appropriate APIs, SDKs, and SAP BTP services. Develop AI-powered extensions and side-by-side applications on SAP BTP, following clean core and modern extensibility principles. Build integrations between SAP systems, SAP BTP, AI services, and external systems using APIs, REST/OData services, events, and integration technologies. Work with SAP data and business objects to prepare, consume, and enrich data for AI-powered scenarios. Design and implement Retrieval-Augmented Generation (RAG), embeddings, vector search, and knowledge-based AI solutions where relevant to business requirements. Evaluate and integrate external AI/ML services and models with SAP environments when SAP-native capabilities do not fully address the business requirement. Develop prototypes and Proofs of Concept (PoCs) to demonstrate the feasibility and business value of AI use cases. Assess existing SAP applications and processes to identify opportunities for automation, intelligent assistance, prediction, classification, summarization, and other AI-driven capabilities. Analyse and provide solutions (workarounds, fixes, root-cause analysis) to incidents and technical issues affecting AI-enabled SAP solutions. Ensure AI solutions meet requirements related to security, data privacy, scalability, reliability, and responsible AI. Collaborate with business and technical teams to translate AI concepts into maintainable, production-ready SAP solutions. Participate in SAP S/4HANA and SAP BTP implementation, transformation, and clean core projects involving AI and intelligent automation. Handle other relevant tasks within the scope of SAP technical and AI support services for the client.</p><ul><li>4+ years of experience in SAP development, consulting, integration, or technical implementation, with significant exposure to SAP BTP and/or SAP Business AI.</li><li>Hands-on experience with SAP BTP and familiarity with its core services and development environments.</li><li>Practical experience implementing or integrating AI/ML or Generative AI solutions within SAP or enterprise environments.</li><li>Good understanding of Generative AI concepts, including Large Language Models (LLMs), prompt engineering, embeddings, vector databases/search, and Retrieval-Augmented Generation (RAG).</li><li>Experience integrating AI services and models through APIs, SDKs, or cloud services.</li><li>Experience with SAP Business AI capabilities and/or SAP AI Core, AI Launchpad, Generative AI Hub, or related SAP AI technologies.</li><li>Good understanding of SAP S/4HANA and SAP business processes, with the ability to identify suitable AI use cases within an SAP landscape.</li><li>Experience with programming and development technologies such as Python, JavaScript/Node.js, Java, or ABAP.</li><li>Experience with REST APIs, OData, JSON, and cloud-based integration technologies.</li><li>Understanding of SAP BTP architecture, including Cloud Foundry and relevant BTP services.</li><li>Understanding of security, authentication, authorization, and data protection considerations when implementing AI solutions.</li><li>Ability to analyse business requirements and translate them into technical AI solutions.</li></ul><p>Nice to Have</p><ul><li>Experience with SAP AI Core, AI Launchpad, Generative AI Hub, or SAP Joule-related technologies.</li><li>Experience with SAP Cloud Application Programming Model (CAP), SAPUI5/Fiori, or ABAP RESTful Application Programming Model (RAP).</li><li>Experience with hyperscaler AI services such as Microsoft Azure AI, AWS Bedrock, or Google Cloud Vertex AI.</li><li>Experience with Python-based AI/ML frameworks and libraries.</li><li>Experience with vector databases, vector search technologies, or knowledge graphs.</li><li>Experience implementing AI agents, agentic workflows, or tool/function-calling solutions.</li><li>Experience with SAP Integration Suite, API Management, Event Mesh, or other SAP BTP integration services.</li><li>Experience with Git-based development, CI/CD, and DevOps practices.</li><li>Experience with SAP S/4HANA implementation or transformation projects.</li><li>Knowledge of AI governance, responsible AI, model evaluation, and AI security.</li><li>SAP certifications relevant to SAP BTP, SAP Business AI, AI/ML, or SAP development.</li></ul><p><strong>Desired Candidate Profile</strong></p><p>Ability to understand client requirements and identify practical AI opportunities that deliver measurable business value using SAP technologies. Strong understanding of both SAP technology and modern AI concepts, with the ability to bridge the gap between business requirements and AI implementation. Good communication, interpersonal, and collaboration skills, with the ability to work effectively with both technical and non-technical stakeholders. Strong analytical and problem-solving skills, with a structured approach to investigating and resolving complex technical issues. Ability to evaluate new AI technologies and determine their relevance and applicability to SAP environments. Team player with the ability to work independently and adapt to different client environments and project requirements. Willingness to continuously upskill as SAP Business AI, Generative AI, SAP BTP, and the broader AI ecosystem evolve.</p>

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> <span></span><p><span>The Strategy &amp; Digital Manager is the primary architect of the plant’s future-state operating model. This dual-purpose leadership role is responsible for orchestrating the site’s five-year strategic roadmap—aligning capacity, sourcing, and "Funding the Growth" initiatives with long-term business objectives—while simultaneously spearheading the plant’s Industry 4.0 transformation.</span></p><br> <p><span>As the site’s central strategist and digital gatekeeper, you will bridge the gap between long-term operational planning and a digitally-enabled shop floor. By leveraging operational &amp; advanced analytics, digital tools, and emerging technologies, you will drive a data-centric culture that optimizes production, minimizes waste, and builds future-ready technical capabilities across the entire workforce.</span></p><br> <p><strong><span>Your Day to Day and The Future</span></strong></p><br> <p><span>Plant Strategy &amp; Operational Planning</span></p><br> <ul> <li> <p><span>Lead the five-year plant strategy process, ensuring a robust roadmap is in place to meet organizational growth and performance targets.</span></p><br> </li> <li> <p><span>Lead and coordinate short and long term capacity planning and road maps aligned with strategic sourcing and cost savings initiatives.</span></p><br> </li> <li> <p><span>Maintain factory capacity utilization models following the release of monthly forecasts.</span></p><br> </li> <li> <p><span>Partner with Division Network Operations to drive the timely and accurate collection of plant volume data for Budget and Latest Estimate (LE) reviews </span></p><br> </li> <li> <p><span>Develop and drive strategies for product and material portfolio simplification to improve plant performance and resilience.</span></p><br> </li> <li> <p><span>Lead and Coordinate the Funding The Growth Program to achieve savings targets (Coordinate Brainstorming Activities, Projects, go / no go decisions, benchmarking)</span></p><br> </li> </ul> <p><span>Digital Transformation</span></p><br> <ul> <li> <p><span>Develop and execute the plant-specific digital roadmap, aligning global/divisional/Plant initiatives to transition the plant from traditional to digital operations aligning with the key pillars of Industry 4.0.</span></p><br> </li> <li> <p><span>Act as the central gatekeeper for all plant-level digital requests and technology needs.</span></p><br> </li> <li> <p><span>Partner with plant functional leads to evaluate digital opportunities based on ROI, operational pain points, and technical feasibility.</span></p><br> </li> <li> <p><span>Drive the cultural shift toward digital ways of working through structured training, communication, and building a network of digital champions.</span></p><br> </li> <li> <p><span>Enforce an "Adopt-First" mindset, ensuring global or division tools are utilized before any local "self-service" development begins.</span></p><br> </li> <li> <p><span>Drive the utilization of both operational advanced analytics at all levels in the site to optimize production, minimize waste, and improve process efficiencies.</span></p><br> </li> </ul> <p><strong><span>You'll need to have:</span></strong></p><br> <ul> <li> <p><span>Bachelor’s Degree in a technical or analytical discipline.</span></p><br> </li> <li> <p><span>8+ years of manufacturing, production, or operations experience.</span></p><br> </li> <li> <p><span>Experience using analytical skills and working knowledge of databases and spreadsheets.</span></p><br> </li> <li> <p><span>Experience in Manufacturing Operations, Logistics, Planning, Quality, Safety, or Finance.</span></p><br> </li> </ul> <p><span>E</span><strong><span>ven better if you have:</span></strong></p><br> <ul> <li> <p><span>Proven supply chain domain knowledge (process, systems, and data) with solid operational experience in demand or supply; end-to-end experience strongly preferred.</span></p><br> </li> <li> <p><span>End-to-end supply chain experience covering planning, logistics, manufacturing, and/or customer service.</span></p><br> </li> <li> <p><span>Experience with ML models and/or cloud architecture.</span></p><br> </li> <li> <p><span>Formal certifications (e.g., PMP, CSM or equivalent Agile certifications).</span></p><br> </li> <li> <p><span>Experience working in a global matrixed organization and/or with global functional roadmaps.</span></p><br> </li> <li> <p><span>Demonstrated experience driving large-scale change management and digital adoption with diverse stakeholders.</span></p><br> </li> <li> <p><span>Experience with SQL/Python for data manipulation and analytics.</span></p><br> </li> <li> <p><span>Experience integrating GenAI/LLM into business processes.</span></p><br> </li> <li> <p><span>Proficiency in Agile/Scrum and project or product lifecycle management</span></p><br> </li> <li> <p><span>Strong interpersonal skills with the ability to communicate complex data to all levels of the organization.</span></p><br> </li> </ul> </div>

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> <p><b>Job Description:</b></p><br><ul><li><p><span><span>Identify, assess, and implement AI use cases within SAP business processes, applications, and enterprise environments.</span></span></p><br></li></ul><br><ul><li><p><span><span>Design and develop AI-enabled solutions using SAP Business AI capabilities and SAP BTP services.</span></span></p><br></li></ul><br><ul><li><p><span><span>Develop and integrate applications leveraging SAP AI Core, AI Launchpad, Generative AI Hub, and other relevant SAP AI services, where appropriate.</span></span></p><br></li></ul><br><ul><li><p><span><span>Integrate Generative AI and Large Language Model (LLM) capabilities into SAP applications and business processes using appropriate APIs, SDKs, and SAP BTP services.</span></span></p><br></li></ul><br><ul><li><p><span><span>Develop AI-powered extensions and side-by-side applications on SAP BTP, following clean core and modern extensibility principles.</span></span></p><br></li></ul><br><ul><li><p><span><span>Build integrations between SAP systems, SAP BTP, AI services, and external systems using APIs, REST/OData services, events, and integration technologies.</span></span></p><br></li></ul><br><ul><li><p><span><span>Work with SAP data and business objects to prepare, consume, and enrich data for AI-powered scenarios.</span></span></p><br></li></ul><br><ul><li><p><span><span>Design and implement Retrieval-Augmented Generation (RAG), embeddings, vector search, and knowledge-based AI solutions where relevant to business requirements.</span></span></p><br></li></ul><br><ul><li><p><span><span>Evaluate and integrate external AI/ML services and models with SAP environments when SAP-native capabilities do not fully address the business requirement.</span></span></p><br></li></ul><br><ul><li><p><span><span>Develop prototypes and Proofs of Concept (</span><span>PoCs</span><span>) to demonstrate the feasibility and business value of AI use cases.</span></span></p><br></li></ul><br><ul><li><p><span><span>Assess existing SAP applications and processes to identify opportunities for automation, intelligent assistance, prediction, classification, summarization, and other AI-driven capabilities.</span></span></p><br></li></ul><br><ul><li><p><span><span>Analyse and provide solutions (workarounds, fixes, root-cause analysis) to incidents and technical issues affecting AI-enabled SAP solutions.</span></span></p><br></li></ul><br><ul><li><p><span><span>Ensure AI solutions meet requirements related to security, data privacy, scalability, reliability, and responsible AI.</span></span></p><br></li></ul><br><ul><li><p><span><span>Collaborate with business and technical teams to translate AI concepts into maintainable, production-ready SAP solutions.</span></span></p><br></li></ul><br><br><ul><li><p><span><span>Participate in SAP S/4HANA and SAP BTP implementation, transformation, and clean core projects involving AI and intelligent automation.</span></span></p><br></li></ul><br><ul><li><p><span><span>Handle other relevant tasks within the scope of SAP technical and AI support services for the client.</span></span><br></p><br></li></ul><br><p><b><span>Experience Required</span></b></p><br><br><ul><li><p><span><span>4+ years of experience in SAP development, consulting, integration, or technical implementation, with significant exposure to SAP BTP and/or SAP Business AI.</span></span></p><br></li></ul><br><ul><li><p><span><span>Hands-on experience with SAP BTP and familiarity with its core services and development environments.</span></span></p><br></li></ul><br><ul><li><p><span><span>Practical experience implementing or integrating AI/ML or Generative AI solutions within SAP or enterprise environments.</span></span></p><br></li></ul><br><ul><li><p><span><span>Good understanding of Generative AI concepts, including Large Language Models (LLMs), prompt engineering, embeddings, vector databases/search, and Retrieval-Augmented Generation (RAG).</span></span></p><br></li></ul><br><ul><li><p><span><span>Experience integrating AI services and models through APIs, SDKs, or cloud services</span><span>.</span></span></p><br></li></ul><br><ul><li><p><span><span>Experience with SAP Business AI capabilities and/or SAP AI Core, AI Launchpad, Generative AI Hub, or related SAP AI technologies.</span></span></p><br></li></ul><br><ul><li><p><span><span>Good understanding of SAP S/4HANA and SAP business processes, with the ability to identify suitable AI use cases within an SAP landscape.</span></span></p><br></li></ul><br><ul><li><p><span><span>Experience with programming and development technologies such as Python, JavaScript/Node.js, Java, or ABAP.</span></span></p><br></li></ul><br><ul><li><p><span><span>Experience with REST APIs, OData, JSON, and cloud-based integration technologies.</span></span></p><br></li></ul><br><ul><li><p><span><span>Understanding of SAP BTP architecture, including Cloud Foundry and relevant BTP services.</span></span></p><br></li></ul><br><ul><li><p><span><span>Understanding of security, authentication, authorization, and data protection considerations when implementing AI solutions.</span></span></p><br></li></ul><br><ul><li><p><span><span>Ability to analyse business requirements and translate them into technical AI solutions.</span></span><br></p><br></li></ul><br><p><b><span>Nice to Have</span></b></p><br><br><ul><li><p><span><span>Experience with SAP AI Core, AI Launchpad, Generative AI Hub, or SAP Joule-related technologies.</span></span></p><br></li></ul><br><ul><li><p><span><span>Experience with SAP Cloud Application Programming Model (CAP), SAPUI5/Fiori, or ABAP RESTful Application Programming Model (RAP).</span></span></p><br></li></ul><br><ul><li><p><span><span>Experience with </span><span>hyperscaler</span><span> AI services such as Microsoft Azure AI, AWS Bedrock, or Google Cloud Vertex AI.</span></span></p><br></li></ul><br><ul><li><p><span><span>Experience with Python-based AI/ML frameworks and libraries.</span></span></p><br></li></ul><br><br><ul><li><p><span><span>Experience with vector databases, vector search technologies, or knowledge graphs.</span></span></p><br></li></ul><br><ul><li><p><span><span>Experience implementing AI agents, agentic workflows, or tool/function-calling solutions.</span></span></p><br></li></ul><br><ul><li><p><span><span>Experience with SAP Integration Suite, API Management, Event Mesh, or other SAP BTP integration services.</span></span></p><br></li></ul><br><ul><li><p><span><span>Experience with Git-based development, CI/CD, and DevOps practices.</span></span></p><br></li></ul><br><ul><li><p><span><span>Experience with SAP S/4HANA implementation or transformation projects.</span></span></p><br></li></ul><br><ul><li><p><span><span>Knowledge of AI governance, responsible AI, model evaluation, and AI security</span><span>.</span></span></p><br></li></ul><br><ul><li><p><span><span>SAP certifications relevant to SAP BTP, SAP Business AI, AI/ML, or SAP development.</span></span></p><br></li></ul><br><p><b><span>Personal Profile/Attributes</span></b></p><br><br><ul><li><p><span><span>Ability to understand client requirements and identify practical AI opportunities that deliver measurable business value using SAP technologies.</span></span></p><br></li></ul><br><ul><li><p><span><span>Strong understanding of both SAP technology and modern AI concepts, with the ability to bridge the gap between business requirements and AI implementation.</span></span></p><br></li></ul><br><ul><li><p><span><span>Good communication, interpersonal, and collaboration skills, with the ability to work effectively with both technical and non-technical stakeholders.</span></span></p><br></li></ul><br><ul><li><p><span><span>Strong analytical and problem-solving skills, with a structured approach to investigating and resolving complex technical issues.</span></span></p><br></li></ul><br><ul><li><p><span><span>Ability to evaluate new AI technologies and determine their relevance and applicability to SAP environments.</span></span></p><br></li></ul><br><ul><li><p><span><span>Team player with the ability to work independently and adapt to different client environments and project requirements.</span></span></p><br></li></ul><br><ul><li><p><span><span>Willingness to continuously upskill as SAP Business AI, Generative AI, SAP BTP, and the broader AI ecosystem evolve.</span></span></p><br></li></ul><br><br><p><span>At DXC Technology, we believe strong connections and community are key to our success. Our work model prioritizes in-person collaboration while offering flexibility to support wellbeing, productivity, individual work styles, and life circumstances. We’re committed to fostering an inclusive environment where everyone can thrive.</span></p><br><p><b><span>Recruitment fraud is a scheme in which fictitious job opportunities are offered to job seekers typically through online services, such as false websites, or through unsolicited emails claiming to be from the company. These emails may request recipients to provide personal information or to make payments as part of their illegitimate recruiting process. DXC does not make offers of employment via social media networks and DXC never asks for any money or payments from applicants at any point in the recruitment process, nor ask a job seeker to purchase IT or other equipment on our behalf.&nbsp;More information on employment scams is available</span></b>&nbsp;<span>here</span><span><b><i>.</i></b></span></p><br> </div>