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 transparent 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