{"schemaVersion":"jobsearcher.job.v1","id":"3e837b3f05a0af1c7bc3d856","url":"https://jobsearcher.com/jobs/3e837b3f05a0af1c7bc3d856","canonicalUrl":"https://jobsearcher.com/jobs/3e837b3f05a0af1c7bc3d856","title":"Lead AI Engineer","description":"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.\nThe 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.\n\nRequirements\n\nKey Responsibilities\nLead AI architecture and engineering roadmap for Agentic AI platforms.\nDesign and deliver scalable, production-grade AI solutions.\nOversee AI platform services, backend APIs, microservices, MLOps, observability, and cloud infrastructure.\nPartner with clients to translate business needs into AI solutions and lead architecture discussions.\nMentor AI engineers, conduct design/code reviews, and drive engineering best practices.\nLead multiple engineering teams, manage delivery, risks, and technical roadmaps.\nEvaluate and adopt emerging AI technologies and frameworks.\nRequired Skills\nAI/ML: GenAI, LLMs, Agentic AI, Multi-Agent Systems, RAG, Prompt Engineering, AI Guardrails, MLOps.\nProgramming: Python (expert), Golang, REST APIs, Async Programming.\nCloud: AWS (Bedrock/AgentCore preferred), Lambda, ECS/EKS, API Gateway, Step Functions, S3, DynamoDB, CloudWatch.\nBackend: Microservices, Docker, Kubernetes, Distributed Systems.\nLeadership: Client-facing consulting, architecture design, stakeholder management, mentoring, and technical leadership.\nQualifications\n10–15+ years in software engineering with 5+ years leading AI/ML engineering teams.\nExperience building and deploying enterprise AI platforms on AWS.\nStrong client-facing, solution architecture, and cross-functional leadership experience.\nPreferred\nAWS Bedrock, LangGraph, CrewAI, AutoGen, AI Copilots, AI Observability, Enterprise SaaS, and large-scale distributed systems.\n\nBenefits\n\nSignificant 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.\nTiger 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.","company":"Tiger Analytics","rawCompany":"tiger analytics","city":"Denver","state":"CO","isRemote":false,"isActive":false,"createdAt":"2026-08-14T14:10:09.462Z","occupations":[{"code":"15-1252.00","title":"Software Developers","slug":"software-developers"},{"code":"15-1299.08","title":"Computer Systems Engineers/Architects","slug":"computer-systems-engineers-architects"},{"code":"11-3021.00","title":"Computer and Information Systems Managers","slug":"computer-and-information-systems-managers"}],"industries":[{"code":"541512","title":"Computer Systems Design Services","slug":"computer-systems-design-services"},{"code":"541511","title":"Custom Computer Programming Services","slug":"custom-computer-programming-services"},{"code":"513210","title":"Software Publishers","slug":"software-publishers"}],"jobPosting":{"@context":"https://schema.org","@type":"JobPosting","title":"Lead AI Engineer","description":"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.\nThe 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.\n\nRequirements\n\nKey Responsibilities\nLead AI architecture and engineering roadmap for Agentic AI platforms.\nDesign and deliver scalable, production-grade AI solutions.\nOversee AI platform services, backend APIs, microservices, MLOps, observability, and cloud infrastructure.\nPartner with clients to translate business needs into AI solutions and lead architecture discussions.\nMentor AI engineers, conduct design/code reviews, and drive engineering best practices.\nLead multiple engineering teams, manage delivery, risks, and technical roadmaps.\nEvaluate and adopt emerging AI technologies and frameworks.\nRequired Skills\nAI/ML: GenAI, LLMs, Agentic AI, Multi-Agent Systems, RAG, Prompt Engineering, AI Guardrails, MLOps.\nProgramming: Python (expert), Golang, REST APIs, Async Programming.\nCloud: AWS (Bedrock/AgentCore preferred), Lambda, ECS/EKS, API Gateway, Step Functions, S3, DynamoDB, CloudWatch.\nBackend: Microservices, Docker, Kubernetes, Distributed Systems.\nLeadership: Client-facing consulting, architecture design, stakeholder management, mentoring, and technical leadership.\nQualifications\n10–15+ years in software engineering with 5+ years leading AI/ML engineering teams.\nExperience building and deploying enterprise AI platforms on AWS.\nStrong client-facing, solution architecture, and cross-functional leadership experience.\nPreferred\nAWS Bedrock, LangGraph, CrewAI, AutoGen, AI Copilots, AI Observability, Enterprise SaaS, and large-scale distributed systems.\n\nBenefits\n\nSignificant 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.\nTiger 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.","datePosted":"2026-08-14T14:10:09.462Z","dateModified":"2026-08-14T14:10:09.462Z","hiringOrganization":{"@type":"Organization","name":"Tiger Analytics","sameAs":"https://jobsearcher.com"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Denver","addressRegion":"CO","addressCountry":"US"}},"identifier":{"@type":"PropertyValue","name":"JobSearcher","value":"3e837b3f05a0af1c7bc3d856"},"url":"https://jobsearcher.com/jobs/3e837b3f05a0af1c7bc3d856"}}