About the role
Requirements:
- 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 an embedded delivery model is strongly preferred.
- Ability to manage multiple workstreams simultaneously in a fast-paced pod environment.
- Key Skills: Cloud Architecture (AWS/Azure/GCP), AI/ML, Generative AI, Large Language Models (LLMs), Retrieval-Augmented Generation (RAG) and AI Agents, API Design and Enterprise Integrations, Data Pipelines, Data Lakehouse, Data Mesh, MLOps, CI/CD, Model Registry, Model Observability, Security, Governance, and Cost Optimization.
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.