AI Engagement Lead & GenAI Delivery Architect

Tiger Analytics Inc.; San Francisco (CA); On-site; USD 180,000 - 270,000; Full time

Job summary

Tiger Analytics seeks an AI Engagement Lead / AI Engineering Pod Lead to drive AI/GenAI engagements from discovery through production. The role combines client-facing project leadership with hands-on engineering of LLM-powered solutions, including RAG pipelines, agentic workflows, and enterprise-grade AI services.

You will collaborate with data scientists, engineers, and product teams, architect scalable AI architectures, and guide teams on best practices for governance, monitoring, and

Qualifications

• 10+ years in software engineering/AI/ML or related field
• Hands-on experience building and deploying AI/ML or Generative AI solutions
• Proven experience leading technical teams or AI engineering pods while staying hands-on
• Strong proficiency in Python and production-grade app development
• Understanding of LLMs, Generative AI, NLP, RAG, and AI agents
• Experience with LangChain, LangGraph, LlamaIndex, Semantic Kernel, or equivalents
• Experience with OpenAI, Azure OpenAI, Anthropic, Bedrock, Gemini, or open-source LLMs
• Experience with vector databases and semantic search
• Designing/deploying cloud-based AI solutions on AWS/Azure/GCP
• APIs, microservices, Docker, CI/CD, production deployment
• AI evaluation, monitoring, guardrails, responsible AI (desirable)
• Strong client-facing communication and stakeholder management
• Master's in Business Analytics or equivalent work experience

Responsibilities

• Lead AI/GenAI engagements from discovery to production deployment
• Serve as primary technical/delivery interface for clients and stakeholders
• Translate business objectives into AI/ML requirements and engineering plans
• Own project planning, timelines, milestones, risks, and delivery
• Coordinate across AI Engineers, Data Scientists, Data Engineers, PMs, and client teams
• Conduct regular client discussions, status reviews, and technical walkthroughs
• Identify delivery risks and drive resolutions
• Architect and deploy AI/ML and GenAI solutions for enterprise use cases
• Lead hands-on development of LLM-powered apps, RAG systems, AI agents
• Design end-to-end AI app architectures (LLM integration, prompts, embeddings, vector DBs)
• Work with LangChain, LangGraph, LlamaIndex, Semantic Kernel or equivalents
• Integrate foundation models (OpenAI, Azure OpenAI, Anthropic, Bedrock, Gemini, open-source)
• Develop production-grade AI services and APIs (Python, FastAPI, Docker, Kubernetes, cloud)
• Design retrieval pipelines with document processing, chunking, embedding, vector search, hybrid retrieval

Skills

Python

LLMs & Generative AI

AI Engineering

LangChain / LangGraph / LlamaIndex

LLM APIs / foundation models

Vector databases & semantic search

Cloud AI (AWS/Azure/GCP)

APIs / microservices / Docker / CI/CD

Client-facing communication

Education

Master's in Business Analytics or equivalent

Tools

Docker

Kubernetes

FastAPI

Job description

Tiger Analytics seeks an AI Engagement Lead / AI Engineering Pod Lead to drive AI/GenAI engagements from discovery through production. The role combines client-facing project leadership with hands-on engineering of LLM-powered solutions, including RAG pipelines, agentic workflows, and enterprise-grade AI services.

You will collaborate with data scientists, engineers, and product teams, architect scalable AI architectures, and guide teams on best practices for governance, monitoring, and