AI Engagement Lead

🕒 September 12

🏄 California – Remote

🏄 California – Remote

⏰ Full Time

🟠 Senior

🤖 Artificial Intelligence

🦅 H1B Visa Sponsor

This company has sponsored H1B visas in the past.

👻 Ghost score 10%

What it means: how likely this posting is sitting open without active hiring.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

Apply Now

Find Similar Remote Jobs

Set Up Email Alert For New Jobs

📊 Check your resume score for this job

Improve your chances of getting an interview by checking your resume score before you apply.

Upload Resume

Tiger Analytics

WebsiteLinkedInAll Job Openings

1001 - 5000 employees

Founded 2011

🏥 Healthcare

📦 Logistics

📣 Marketing

Healthcare • Logistics • Marketing

Tiger Analytics is a leading AI and analytics consulting firm that specializes in leveraging data science and machine learning to provide strategic business insights across various industries. They offer services in data strategy, AI engineering, and business intelligence to enable data-driven decision-making and digital transformation for their clients. Tiger Analytics collaborates with top technology partners like Microsoft, Google Cloud, and AWS to deliver cutting-edge solutions. They serve a diverse range of sectors including consumer packaged goods, healthcare, and finance, helping businesses operationalize insights and differentiate with AI and machine learning technologies.

📋 Description

• 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 • Translate business objectives 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 • 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 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 • Master's in Business Analytics or equivalent work experience

🏖️ Benefits

• Significant career development opportunities • Small, fast-growing, challenging and entrepreneurial environment • High degree of individual responsibility • Equal employment opportunities 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