SAP AI Orchestration Developer

Job description

Reporting to the Principal Director, SAP Innovation and IP and the Vice President, Delivery for engagement assignment, the SAP AI Orchestration Developer designs and builds AI-enabled business processes on the SAP Business AI platform. You connect models, data, and AI services to workflows, approvals, exception paths, and human controls that make a solution safe and useful in production. You partner with functional specialists, architects, and delivery teams to evaluate quality, manage risk, and document maintainable solutions. Your mission consists of: Technical and functional expertise Design and develop workflows that integrate AI services, prompts, models, and decisioning into user journeys. Implement document ingestion, vector embeddings, grounding and workflows in AI processes. Problem solving and analytical thinking Define human controls, autonomy rules, exception paths, and audit trails to limit the consequences of incorrect outputs. Evaluate outputs with real test sets, measure accuracy, and instrument solutions to detect drift early. Operational excellence Support integration testing, user acceptance testing, defect resolution, cutover, and stabilization for AI-enabled scope. Collaboration and team mindset Work with functional specialists to understand the business process before automating it and produce documentation that support teams can use. Knowledge sharing Build reusable patterns, prompt libraries, and evaluation harnesses, then enable teams to understand the limits of the AI layer. #LI-SAMLEBEL Experience : At least six (6) years in software development, including at least two (2) years building AI-enabled or intelligent automation solutions deployed to production. SAP Business AI achievements : At least two (2) years with AI Core, AI Launchpad, generative AI hub, and orchestration or prompt management. AI expertise : At least two (2) years building and tuning retrieval-augmented generation pipelines, with hands-on Document AI or Document Information Extraction experience. Development : At least four (4) years with Python, plus Node.js or Java; experience with Joule extensibility and workflow automation. Education : Bachelor’s degree in computer science, Software Engineering, Data Science, or a related field. Conditions : Canada-based remote role; occasional travel across North America, typically under 15% of working time. Communication : Good oral and written communication skills, in English, to communicate with clients located across North America. Assets HANA Cloud vector engine, Intelligent Scenario Lifecycle Management, ABAP AI SDK, MCP, or agent frameworks. SAP Business AI, BTP Extensions with CAP, SAP Build Process Automation, or cloud AI certification. What about the advantages of joining us? Aside from joining a professional and dynamic team, you will be entitled to our compensation plan and various other benefits, as well as the opportunity to be part of a talented team. All that you deserve and more: Professional development; Profit sharing; Health and well-being insurance from your first day; Deferred Profit-Sharing Plan (DPSP); Flexible hybrid work; Public transit and cell phone allowance; Generous employer contributions to your group RRSP. Talan offers competitive salaries and equal opportunities for all. If you are motivated to take on stimulating challenges and meet the requirements, send us your resume now! Please note that we will only communicate with candidates selected for an interview. For the purposes of this job offer, the feminine and masculine genders designate indistinctly the staff of both sexes and do not establish any distinction based on sex. Talan is committed to employment equity. Talan is an international group that supports its clients in their end-to-end Data & AI transformation by combining management consulting with technological expertise. With over 6,000 employees across five continents, we accelerate our clients' transformations through long-term partnerships, creating measurable and sustainable impact. Our value proposition is built on a structured innovation ecosystem: 2,500 Data & AI experts, proprietary solutions built on advanced models, and an applied research, experimental development, and innovation laboratory. In Americas, our multidisciplinary teams bring over 30 years of experience helping business leaders across key industries achieve measurable performance and strong ROI, designing, building, and scaling solutions that enable companies to grow more efficiently.