Forward Deployed Engineer - LLM/Gen AI
Job Role: Forward Deployed Engineer - LLM/Gen AI
Experience: 5-10yrs
Location: Bengaluru (Remote)
Notice Period: Immediate or max 15days preferred
Technical Skills Required
- Solid understanding of data platforms — data lakes, pipelines, transformation, and how data flows from source to AI model
- Working knowledge of Generative AI, LLMs, and RAG pipelines — enough to scope deliverables and review outputs critically
- Ability to read and understand data models, architecture diagrams, and API specs — you don't write production code but understand what's being built
- Cloud platforms — AWS and/or Azure — data and AI services at a conceptual and delivery level
- Familiarity with Snowflake, Databricks, or equivalent — enough for informed conversations with data engineers
- Experience using AI platforms and tools to rapidly prototype and demonstrate solutions to clients
Delivery & Client Skills Required
- 6–10 years in AI/data product delivery, technical consulting, or engineering — not pure product management
- Proven ability to run discovery independently — without a senior consultant holding your hand
- Strong client-facing presence — comfortable presenting to senior business and technology stakeholders
- Experience writing SOWs, project proposals, or technical specifications that get signed off by clients
- Track record of owning delivery outcomes — accountable for the result, not just managing tasks
- Experience in consulting, professional services, or embedded delivery model strongly preferred
- Ability to manage multiple workstreams simultaneously in a fast-paced pod environment
Requirements
Requirements
Key Skills
• Cloud Architecture (AWS/Azure/GCP)
• AI/ML, Generative AI, and Large Language Models (LLMs)
• Retrieval-Augmented Generation (RAG) and AI Agents
• API Design and Enterprise Integrations
• Data Pipelines, Data Lakehouse, and Data Mesh
• MLOps, CI/CD, Model Registry, and Model Observability
• Security, Governance, and Cost Optimization
Originally posted on Himalayas
This role requires you to be in India. If that means relocating or flying in, it is worth checking fares before you commit to a start date.
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