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 secure.

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.
Positive 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