Role & responsibilities:

- Embed with a delivery team to understand the process, the exceptions, and where professional judgment is applied.

- Run technical discovery across systems, data access, controls, volumes, edge cases and success measures.

- Reuse before building. Adapt proven engines from across the firm, including automation and document intelligence built by existing practices, under platform standards.

- Increase automation and autonomy only on the basis of production evidence.

- Establish a baseline before deployment, measure results after, and report both.

- Support adoption: train operators, provide close support at go-live, and resolve issues until usage is stable.

Qualifications:

- Bachelor's degree in Computer Science, Engineering, Information Systems or a related field.

- 5+ years of software engineering experience,



including 2+ deploying LLM-based systems used by non-technical users.

- Robust Python, with enough full-stack range to build a usable operator interface without waiting for a front-end team.

- Cloud fundamentals on Azure or AWS, including compute, storage, networking, identity, containers and CI/CD.

- Strong systems integration and data skills: REST APIs, webhooks, authentication flows, ETL and SQL.

- Good to have: Prior forward deployed, embedded delivery or internal product engineering experience; React or similar for lightweight operator interfaces;

Experience with observability tooling for LLM applications; Relevant Microsoft Azure or AWS certifications.

📌 Forward Deployed AI Engineer - Senior associate (Bengaluru)
🏢 Baker Tilly
📍 Bengaluru