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