Lead AI Engineer
Tiger Analytics Inc. Open · verified Oct 24, 2026 At a glance
Senior AI Engineering role at Tiger Analytics Inc. Remote, United States · no salary stated · we estimate $161,745–$225,000 across the United States.
Tiger Analytics Inc. has not published a salary for this role. The figure below is our estimate, not theirs.
remoteroles summary, based on the employer's posting.
What you'll do
- Set the architecture and technical direction for Agentic AI platforms
- Build production-ready AI solutions and oversee their APIs, microservices, MLOps, monitoring and cloud infrastructure
- Turn client needs into technical solutions, leading architecture conversations with client teams
- Guide several engineering teams, manage delivery risks and mentor engineers through design and code reviews
- Assess emerging AI technologies and frameworks for potential use
What you bring
- At least ten years in software engineering, including five or more leading AI/ML engineering teams
- A track record of building and launching enterprise AI platforms on AWS
- Expert Python skills, plus experience with GenAI, LLMs, Agentic AI and MLOps
- Strong client-facing architecture work and experience leading across teams
Who this fits
This senior, hands-on technical leadership role suits someone who can lead AI engineering while staying close to architecture and delivery. You’ll oversee multiple teams, mentor engineers and serve as the main technical contact for clients. The role is remote in the United States.
From the employer
Tiger Analytics is seeking a highly experienced Lead AI Engineer to lead the end-to-end AI Engineering workstream for the Luma platform. This is a hands-on technical leadership role responsible for driving the architecture, design, and delivery of enterprise-scale Agentic AI solutions while serving as the primary technical interface for the client.
The ideal candidate will combine deep expertise in AI engineering, distributed systems, cloud-native architectures, and MLOps with exceptional stakeholder management skills. This individual will oversee multiple engineering pods, mentor technical teams, drive engineering excellence, and partner closely with client leadership to shape the AI roadmap and ensure successful delivery.
Requirements
Key Responsibilities
- Lead 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/code reviews, and drive engineering best practices.
- Lead multiple engineering teams, manage delivery, risks, and technical roadmaps.
- Evaluate and adopt emerging AI technologies and frameworks.
Required Skills
- AI/ML: GenAI, LLMs, Agentic AI, Multi-Agent Systems, RAG, Prompt Engineering, AI Guardrails, MLOps.
- Programming: Python (expert), Golang, REST APIs, Async Programming.
- Cloud: AWS (Bedrock/AgentCore preferred), Lambda, ECS/EKS, API Gateway, Step Functions, S3, DynamoDB, CloudWatch.
- Backend: Microservices, Docker, Kubernetes, Distributed Systems.
- Leadership: Client-facing consulting, architecture design, stakeholder management, mentoring, and technical leadership.
Qualifications
- 10–15+ years in software engineering with 5+ years leading AI/ML engineering teams.
- Experience building and deploying enterprise AI platforms on AWS.
- Strong client-facing, solution architecture, and cross-functional leadership experience.
Preferred
- AWS Bedrock, LangGraph, CrewAI, AutoGen, AI Copilots, AI Observability, Enterprise SaaS, and large-scale distributed systems.
Benefits
Significant career development opportunities exist as the company grows. The position offers a unique opportunity to be part of a small, fast-growing, challenging and entrepreneurial environment, with a high degree of individual responsibility.
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.
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