Must Have Skills - Technical

·
Experience utilising data science and machine learning with generative and agentic AI in a

commercial setting, including demonstrable technical leadership and leading people,

projects or multidisciplinary delivery teams.

· Proven delivery of AI-powered applications from ambiguous business problem to production

operation, with evidence of measurable business impact and sustained adoption.

· Hands-on application of classical statistics, supervised and unsupervised machine learning,

feature engineering, experimentation and model evaluation.

· Hands-on delivery of generative AI and agentic solutions, including prompt design, RAG,

embeddings/vector search, tool or function calling, orchestration, structured outputs and

failure handling.

· Experience selecting and combining pro-code and low-code/no-code approaches, including

Microsoft Azure AI services and platforms such as Copilot Studio, Power Platform/Power Apps,





Cytora or comparable products is desirable.

People leadership and ways of working
- Build and connect Brit India’s AI community, fostering knowledge-sharing, reusable practices and capability development, while ensuring close collaboration and alignment with the AI Enablement and AI UW Labs teams across India and the UK.
- Set clear goals and accountabilities, allocate work across both teams and balance strategic delivery, experimentation, production support and colleague development.
- Conduct regular one-to-ones and performance reviews; provide timely, evidence-based feedback, recognition and coaching; create individual capability and development plans.
- Mentor engineers and scientists through pairing, technical reviews and stretch opportunities; build depth across AI engineering, science, operations and domain knowledge.

📌 Lead AI Engineer (Bengaluru)
🏢 Recro
📍 Bengaluru