• Identify high-value AI opportunities through workflow analysis
• Design AI solutions: select tools, techniques, prompting approaches
• Configure and use GenAI tools across delivery workflows
• Build lightweight automations and API-based integrations
• Support adoption via demos, pair-working and hands-on enablement
• Deliver tailored training and knowledge transfer
• Present recommendations to stakeholders and manage expectations
• Apply responsible AI practices to mitigate data leakage, hallucinations and bias
• Document and share AI practices to raise organizational capability

Must have:

• Strong software engineering background (6+ years)
• Solid understanding of AI/ML fundamentals (LLMs, tokens, embeddings, RAG, fine-tuning) and their practical trade-offs
• Strong prompt engineering: systematic prompting, structured outputs, scenario adaptation
• Hands-on GenAI tool experience in delivery contexts
• Ability to work independently and deliver reliably (Competent level per framework)
• Experience in workflow analysis and AI solution design
• Strong communication across audiences: recommendations, sessions, training
• Awareness of responsible AI concerns: privacy, hallucinations, safe usage
• Broad delivery understanding to spot AI opportunities across adjacent roles

Nice to have:

• Experience building AI-enabled automations, internal helpers, or lightweight end-to-end workflows
• Experience integrating AI via APIs or configuring custom assistants / GPT-style workflows
• Familiarity with multiple AI product categories (coding assistants, conversational AI, productivity copilots)
• Ability to evaluate practical applicability of new AI tools across the broader ecosystem
• Experience delivering live demos, workshops, or pair-working sessions to support adoption
• Experience creating playbooks, guidelines, reports, or reusable learning materials