Roles and Responsibilities:

- Hands-on experience with LLM APIs and prompt engineering, RAG architectures and vector databases, Agentic workflows and orchestration frameworks

- Experience integrating AI systems with enterprise data platforms.

- Exposure to AI ecosystem – OpenAI, Claude, Cursor, Palantir, and many others along with Hyperscalers – Azure, AWS, GCP, and similar ecosystem.

- Experience with DevOps, CI/CD pipelines, and infrastructure automation.

- Consulting, global delivery, or field engineering experience with direct client exposure

- Prior Forward Deployed Engineer / Solutions Engineer / Field Engineer background.

- Experience building 0 1 AI or data products.

- Exposure to MLOps practices and model monitoring.

- Frontend or UI exposure for AI-driven applications.

Job Requirements :





- 9+ years of experience in software engineering, data engineering, or AI/ML.

- Solid hands-on experience building, deploying, and operating production-grade systems.

- Expert-level proficiency in Python for large-scale, high-performance applications.

- Proven delivery experience in client-facing and high-ambiguity environments.

- Solid foundation in distributed systems, microservices, APIs, and cloudnative architectures.

- Demonstrated ability to independently own and deliver complex, high-impact initiatives.

- Excellent communicator, effective with both technical teams and business stakeholders and should have worked directly with clients.

📌 Forward Deployment Manager (Bengaluru)
🏢 EY
📍 Bengaluru