{"id":943714,"url":"https://alion.io/job/dxc-technology-sap-ai-technical-consultant","title":"SAP AI Technical Consultant","company":{"id":88,"name":"DXC Technology","domain":"dxc.com","url":"https://alion.io/company/dxc-technology","size_band":"5000+","is_staffing_agency":false,"employer_type":"services","is_intermediary":false,"listed_via":null,"ats_vendor":"Workday","truth_index":{"grade":"B","score":78,"open_postings":200,"ghost_share":0.005,"stale_share":0.855,"repost_share":0.03,"time_to_fill_p50_days":29,"computed_at":"2026-11-09T06:03:00Z"}},"role":"Enterprise Apps","role_family":"Enterprise Apps","seniority":"middle","employment_type":"full_time","work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Tunis, Tunisia"],"countries":["TN"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":null,"experience_years_min":4,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"ABAP","optional":false},{"name":"Embeddings","optional":false},{"name":"JavaScript","optional":false},{"name":"LLM","optional":false},{"name":"Node JS","optional":false},{"name":"Prompt Engineering","optional":false},{"name":"Python","optional":false},{"name":"RAG","optional":false},{"name":"Rest API","optional":false},{"name":"SAP BTP","optional":false},{"name":"SAP BusinessObjects","optional":false},{"name":"Agentic Workflows","optional":true},{"name":"AI Agents","optional":true},{"name":"AWS","optional":true},{"name":"AWS Bedrock","optional":true},{"name":"Azure","optional":true},{"name":"CI/CD","optional":true},{"name":"GCP","optional":true},{"name":"Git","optional":true},{"name":"Knowledge Graph","optional":true},{"name":"Vertex AI","optional":true}],"status":"live","first_seen_at":"2026-09-15T19:42:25Z","employer_posted_date":"2026-09-15","last_verified_at":"2026-11-09T15:33:34Z","board_verified":true,"closed_at":null,"days_open":55,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":55},"description":"Job Description:\nIdentify, assess, and implement AI use cases within SAP business processes, applications, and enterprise environments.\n\nDesign and develop AI-enabled solutions using SAP Business AI capabilities and SAP BTP services.\n\nDevelop and integrate applications leveraging SAP AI Core, AI Launchpad, Generative AI Hub, and other relevant SAP AI services, where appropriate.\n\nIntegrate Generative AI and Large Language Model (LLM) capabilities into SAP applications and business processes using appropriate APIs, SDKs, and SAP BTP services.\n\nDevelop AI-powered extensions and side-by-side applications on SAP BTP, following clean core and modern extensibility principles.\n\nBuild integrations between SAP systems, SAP BTP, AI services, and external systems using APIs, REST/OData services, events, and integration technologies.\n\nWork with SAP data and business objects to prepare, consume, and enrich data for AI-powered scenarios.\n\nDesign and implement Retrieval-Augmented Generation (RAG), embeddings, vector search, and knowledge-based AI solutions where relevant to business requirements.\n\nEvaluate and integrate external AI/ML services and models with SAP environments when SAP-native capabilities do not fully address the business requirement.\n\nDevelop prototypes and Proofs of Concept (PoCs) to demonstrate the feasibility and business value of AI use cases.\n\nAssess existing SAP applications and processes to identify opportunities for automation, intelligent assistance, prediction, classification, summarization, and other AI-driven capabilities.\n\nAnalyse and provide solutions (workarounds, fixes, root-cause analysis) to incidents and technical issues affecting AI-enabled SAP solutions.\n\nEnsure AI solutions meet requirements related to security, data privacy, scalability, reliability, and responsible AI.\n\nCollaborate with business and technical teams to translate AI concepts into maintainable, production-ready SAP solutions.\n\nParticipate in SAP S/4HANA and SAP BTP implementation, transformation, and clean core projects involving AI and intelligent automation.\n\nHandle other relevant tasks within the scope of SAP technical and AI support services for the client. \n\nExperience Required\n4+ years of experience in SAP development, consulting, integration, or technical implementation, with significant exposure to SAP BTP and/or SAP Business AI.\n\nHands-on experience with SAP BTP and familiarity with its core services and development environments.\n\nPractical experience implementing or integrating AI/ML or Generative AI solutions within SAP or enterprise environments.\n\nGood understanding of Generative AI concepts, including Large Language Models (LLMs), prompt engineering, embeddings, vector databases/search, and Retrieval-Augmented Generation (RAG).\n\nExperience integrating AI services and models through APIs, SDKs, or cloud services.\n\nExperience with SAP Business AI capabilities and/or SAP AI Core, AI Launchpad, Generative AI Hub, or related SAP AI technologies.\n\nGood understanding of SAP S/4HANA and SAP business processes, with the ability to identify suitable AI use cases within an SAP landscape.\n\nExperience with programming and development technologies such as Python, JavaScript/Node.js, Java, or ABAP.\n\nExperience with REST APIs, OData, JSON, and cloud-based integration technologies.\n\nUnderstanding of SAP BTP architecture, including Cloud Foundry and relevant BTP services.\n\nUnderstanding of security, authentication, authorization, and data protection considerations when implementing AI solutions.\n\nAbility to analyse business requirements and translate them into technical AI solutions.\n\nNice to Have\nExperience with SAP AI Core, AI Launchpad, Generative AI Hub, or SAP Joule-related technologies.\n\nExperience with SAP Cloud Application Programming Model (CAP), SAPUI5/Fiori, or ABAP RESTful Application Programming Model (RAP).\n\nExperience with hyperscalerAI services such as Microsoft Azure AI, AWS Bedrock, or Google Cloud Vertex AI.\n\nExperience with Python-based AI/ML frameworks and libraries.\n\nExperience with vector databases, vector search technologies, or knowledge graphs.\n\nExperience implementing AI agents, agentic workflows, or tool/function-calling solutions.\n\nExperience with SAP Integration Suite, API Management, Event Mesh, or other SAP BTP integration services.\n\nExperience with Git-based development, CI/CD, and DevOps practices.\n\nExperience with SAP S/4HANA implementation or transformation projects.\n\nKnowledge of AI governance, responsible AI, model evaluation, and AI security.\n\nSAP certifications relevant to SAP BTP, SAP Business AI, AI/ML, or SAP development.\n\nPersonal Profile/Attributes\nAbility to understand client requirements and identify practical AI opportunities that deliver measurable business value using SAP technologies.\n\nStrong understanding of both SAP technology and modern AI concepts, with the ability to bridge the gap between business requirements and AI implementation.\n\nGood communication, interpersonal, and collaboration skills, with the ability to work effectively with both technical and non-technical stakeholders.\n\nStrong analytical and problem-solving skills, with a structured approach to investigating and resolving complex technical issues.\n\nAbility to evaluate new AI technologies and determine their relevance and applicability to SAP environments.\n\nTeam player with the ability to work independently and adapt to different client environments and project requirements.\n\nWillingness to continuously upskill as SAP Business AI, Generative AI, SAP BTP, and the broader AI ecosystem evolve.\n\nAt 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.\nRecruitment 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. 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