Forward Deployed Engineer – LLM/Gen AI

This is a fully remote position, open to applicants in India.

📋 Description

• Independently conduct discovery sessions with clients

• Define deliverables and critically assess outputs from Generative AI, LLM, and RAG

• Comprehend data models, architecture diagrams, and API specifications without engaging in production code

• Provide solutions utilizing cloud data and AI services at both conceptual and delivery levels

• Work collaboratively with data engineers on platforms such as Snowflake, Databricks, or similar

• Rapidly create prototypes and showcase AI solutions to clients

• Present findings to senior stakeholders in both business and technology

• Draft SOWs, project proposals, and technical specifications for client approval

• Take ownership of delivery outcomes and accountability for the results achieved

• Oversee multiple workstreams in a dynamic pod environment

⛳️ Requirements

• 5–10 years of relevant experience

• 6–10 years in AI/data product delivery, technical consulting, or engineering roles

• Strong understanding of data platforms, including data lakes, pipelines, transformation, and data flow to AI models

• Practical knowledge of Generative AI, LLMs, and RAG pipelines

• Proficient in interpreting data models, architecture diagrams, and API specifications

• Knowledge of cloud platforms — AWS and/or Azure — at both conceptual and delivery levels

• Familiarity with Snowflake, Databricks, or similar technologies

• Experience in utilizing AI platforms and tools to quickly prototype and present solutions to clients

• Demonstrated capability to independently conduct discovery processes

• Strong client-facing skills with comfort in presenting to senior business and technology stakeholders

• Experience in writing SOWs, project proposals, or technical specifications for client sign-off

• Proven track record in owning delivery outcomes

• Background in consulting, professional services, or embedded delivery models is highly preferred

• Ability to handle multiple workstreams in a fast-paced pod environment

• Immediate availability or a maximum notice period of 15 days is preferred

🏝️ Benefits

• Cloud Architecture expertise (AWS/Azure/GCP)

• Knowledge in AI/ML, Generative AI, and Large Language Models (LLMs)

• Proficiency in Retrieval-Augmented Generation (RAG) and AI Agents

• Experience in API Design and Enterprise Integrations

• Expertise in Data Pipelines, Data Lakehouse, and Data Mesh

• Understanding of MLOps, CI/CD, Model Registry, and Model Observability

• Focus on Security, Governance, and Cost Optimization