The Role
Lead client-facing delivery of AI and data solutions involving LLMs, generative AI, RAG pipelines, cloud platforms, and data architectures. Independently run discovery, scope deliverables, review technical outputs, create SOWs and proposals, present to senior stakeholders, and own delivery outcomes across multiple workstreams. The role emphasizes technical understanding, rapid prototyping, consulting, and embedded client delivery rather than production coding.
Summary Generated by Built In
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
Skills Required
- 5-10 years of experience in AI/data product delivery, technical consulting, or engineering
- Solid understanding of data platforms, including data lakes, pipelines, transformations, and data flow into AI models
- Working knowledge of generative AI, LLMs, and RAG pipelines
- Ability to understand data models, architecture diagrams, and API specifications
- Experience with AWS and/or Azure cloud platforms
- Familiarity with Snowflake, Databricks, or equivalent data platforms
- Experience using AI platforms and tools for rapid prototyping and client demonstrations
- Ability to independently conduct client discovery
- Strong client-facing communication and presentation skills
- Experience writing client-approved SOWs, project proposals, or technical specifications
- Track record of owning delivery outcomes
- Ability to manage multiple workstreams in a fast-paced pod environment
- Experience in consulting, professional services, or an embedded delivery model
- Immediate availability or a maximum 15-day notice period
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The Company
What We Do
Evnek Technologies is a Bengaluru-based technology and IT consulting company that helps organizations modernize through agentic and generative AI, machine learning, cloud solutions, data engineering, DevOps, and software/API development. Its services include AI-driven business transformation, autonomous intelligent agents, cloud migration and management, enterprise data capabilities, and scalable product development, with a mission to improve operational efficiency and create lasting business impact.
