AI specialist / Generative AI design

Position: AI Engineer

• Translate business needs into GenAI POCs/MVPs that create measurable value.
• Design and configure GenAI agents and workflows using provided frameworks and technical enablers.
• Support business and technical framing to secure feasibility, clarity, and architectural alignment.
• Build, test, and optimize GenAI prototypes, including agents, prompts, RAG patterns, and orchestrations.
• Assemble end-to-end AI workflows using LLM, connectors, APIs, and automation tools.
• Collaborate with AI COE, AI factory and Value Streams to refine scope, solve blockers, and ensure reuse of enablers.
• Help structure business framing (process, pain points, value, KPIs) managed by Product Owners.
• Contribute to technical framing managed by Product Leaders (feasibility, integra on, enablers,architecture).
• Support deployment readiness by clarifying environments, constraints, and integration prerequisites, from GEN AI point of view.

Technical skills

• GenAI & LLM expertise: prompt engineering, RAG, evaluation.
• Agen c & orchestration frameworks: templates, boilerplates, low-code AI platforms.
• Integra on & automation: APIs, connectors (Jira, Confluence, SAP), workflow tools.
• Software engineering basics: coding to adapt agents, workflows, and templates.
• Broad understanding of AI techniques beyond GenAI (ML, optimization,), to assess when GenAI is (or is not) the right approach.
• Business framing & communica on with non-technical stakeholders.
• Collabora on in mul-team environments (AI COE, AI Factory, Value Streams, IT).

Problem-solving & pragma sm oriented toward quick, incremental delivery
Mandatory skills Gen AI / LLM: Prompt Engineering RAG Agent Frameworks API Integration, Connectors, Workflow Development Communication
Gen AI & LLM expertise: prompt engineering, RAG, evaluation; GEN AI/ML Optimization