About the Role
We are seeking an AI Engineer to translate business needs into GenAI POCs/MVPs that create measurable value. This role involves designing, building, testing, and optimizing GenAI agents, workflows, and prototypes, while collaborating with various teams to ensure alignment and successful deployment.
Responsibilities
- 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, integration, enablers, architecture).
- Support deployment readiness by clarifying environments, constraints, and integration prerequisites, from GEN AI point of view.
Requirements
- Problem-solving & pragmatism oriented toward quick, incremental delivery.
Skills
- GenAI & LLM expertise: prompt engineering, RAG, evaluation.
- Agentic & orchestration frameworks: templates, boilerplates, low-code AI platforms.
- Integration & 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 & communication with non-technical stakeholders.
- Collaboration in multi-team environments (AI COE, AI Factory, Value Streams, IT).
- Gen AI / LLM: Prompt Engineering RAG Agent Frameworks API Integration, Connectors, Workflow Development Communication
- GEN AI/ML Optimization
