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 settings.
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