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About the Role
Tiger Analytics is seeking an AI Engagement Lead / AI Engineering Pod Lead to combine client and project leadership with hands-on expertise in AI/ML and Generative AI engineering. This role involves 50% engagement/project management and 50% hands-on technical leadership and AI engineering, focusing on leading AI/GenAI engagements from discovery to production and serving as the primary technical and delivery interface for clients.
Responsibilities
- Lead AI/GenAI engagements from discovery and solution definition through development, deployment, and production.
- Serve as the primary technical and delivery interface for clients and senior stakeholders.
- Understand business objectives and translate them into AI/ML solution requirements and actionable engineering plans.
- Own project planning, prioritization, timelines, milestones, risks, dependencies, and overall delivery.
- Coordinate across AI Engineers, Data Scientists, Data Engineers, Product Managers, and client teams.
- Conduct regular client discussions, status reviews, technical walkthroughs, and solutioning sessions.
- Proactively identify delivery risks, technical challenges, resource constraints, and dependencies and drive them toward resolution.
- Architect, develop, and deploy AI/ML and Generative AI solutions for enterprise use cases.
- Lead hands-on development of LLM-powered applications, RAG systems, AI agents, and agentic workflows.
- Design and implement end-to-end AI application architectures, including: LLM integration, Prompt engineering, RAG pipelines, Embeddings and vector databases, Tool/function calling, Agent orchestration, Evaluation and monitoring.
- Work with frameworks such as LangChain, LangGraph, LlamaIndex, Semantic Kernel, or equivalent technologies.
- Integrate foundation models and LLM platforms such as OpenAI, Azure OpenAI, Anthropic Claude, Amazon Bedrock, Gemini, or open-source models.
- Develop production-grade AI services and APIs using technologies such as Python, FastAPI, Docker, Kubernetes, and cloud platforms.
- Design retrieval pipelines including document processing, chunking, embedding generation, vector search, hybrid retrieval, and re-ranking.
Requirements
- 10+ years of experience in software engineering, AI/ML engineering, data science, or a related technical field.
- Strong hands-on experience building and deploying AI/ML or Generative AI solutions.
- Proven experience leading technical teams or AI engineering pods while remaining hands-on.
- Strong proficiency in Python and experience developing production-grade applications.
- Strong understanding of LLMs, Generative AI, NLP, RAG, and AI agents.
- Experience with one or more AI/GenAI frameworks such as LangChain, LangGraph, LlamaIndex, Semantic Kernel, or equivalent.
- Experience working with LLM APIs/foundation models such as OpenAI, Azure OpenAI, Anthropic, Bedrock, Gemini, or open-source LLMs.
- Experience with vector databases and semantic search.
- Experience designing and deploying cloud-based AI solutions on AWS, Azure, or GCP.
- Strong understanding of APIs, microservices, Docker, CI/CD, and production deployment.
- Experience with AI evaluation, monitoring, guardrails, and responsible AI is highly desirable.
- Strong client-facing communication and stakeholder management skills.
- Demonstrated ability to translate ambiguous business problems into practical technical solutions.
Skills
- AI/ML
- Generative AI
- LLM
- RAG
- AI agents
- Python
- LangChain
- LangGraph
- LlamaIndex
- Semantic Kernel
- OpenAI
- Azure OpenAI
- Anthropic Claude
- Amazon Bedrock
- Gemini
- FastAPI
- Docker
- Kubernetes
- AWS
- Azure
- GCP
- APIs
- Microservices
- CI/CD
Experience Level
- 10+ years of experience
Education Level
- Master's in Business Analytics or equivalent work experience
Benefits
- Significant career development opportunities
- High degree of individual responsibility
About the Company
- Tiger Analytics is an advanced analytics consulting firm.
- Trusted analytics partner for several Fortune 100 companies.
- Enables clients to generate business value from data.
- Consultants bring deep expertise in Data Science, Machine Learning, and AI.
- Business value and leadership recognized by Forrester and Gartner.
- Offers a unique opportunity to be part of a small, fast-growing, challenging and entrepreneurial environment.
Equal Opportunity
- Tiger Analytics provides equal employment opportunities to applicants and employees without regard to race, color, religion, age, sex, sexual orientation, gender identity/expression, pregnancy, national origin, ancestry, marital status, protected veteran status, disability status, or any other basis as protected by federal, state, or local law.