Lead AI Engineer
Tiger Analytics Inc.3 months ago
Remote, United StatesStaff+
Responsibilities
- Lead the AI architecture and engineering roadmap for Agentic AI platforms.
- Design and deliver scalable, production-grade AI solutions.
- Oversee AI platform services, backend APIs, microservices, MLOps, observability, and cloud infrastructure.
- Partner with clients to translate business needs into AI solutions and lead architecture discussions.
- Mentor AI engineers, conduct design and code reviews, and drive engineering best practices.
- Lead multiple engineering teams and manage delivery, risks, and technical roadmaps.
- Evaluate and adopt emerging AI technologies and frameworks.
Requirements
- Expert Python skills and experience with Golang, asynchronous programming, backend APIs, microservices, Docker, Kubernetes, and distributed systems.
- Experience with GenAI, LLMs, Agentic AI, multi-agent systems, RAG, prompt engineering, AI guardrails, and MLOps.
- Experience building and deploying enterprise AI platforms on AWS, including relevant AWS services.
- Strong client-facing consulting, solution architecture, stakeholder management, mentoring, and technical leadership experience.
- 10–15+ years of software engineering experience, including 5+ years leading AI/ML engineering teams.
- Preferred experience with AWS Bedrock, LangGraph, CrewAI, AutoGen, AI copilots, AI observability, Enterprise SaaS, and large-scale distributed systems.
Benefits
- Significant career development opportunities in a small, fast-growing, challenging, and entrepreneurial environment.
- High degree of individual responsibility.
- Remote position in the United States.
Tech Stack
Categories
About Tiger Analytics Inc.
Tiger Analytics Inc. provides data and AI consulting services that deliver machine learning, analytics, and cloud data engineering solutions for large enterprises across industries, including life sciences. The company engages on strategy and implementation projects, from modern BI and data platforms to MLOps, helping Fortune 100 clients turn data into business outcomes. Founded in 2011 and headquartered in Santa Clara, it is privately held with operations across North America, Europe, and Asia-Pacific.