About the role
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.
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. 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.
Not the right fit? Search for AI Engineer jobs in Canada
About Tiger Analytics
In a world rife with complexity, we help our customers cut through uncertainty, plan strategically, and execute confidently. We work with them to strategize and operationalize Data and AI-led transformation programs that deliver real value at scale.
Our deep understanding of business value chains, agile operating models, platforms approach, and strategic hyperscaler partnerships allow us to engineer cutting-edge Data & AI solutions. We go beyond standard playbooks and best practices, and forge new ones.
If you’re keen to reimagine what AI can do for some of the toughest problems out there, come join our team of 5000+ brilliant technologists and consultants. Explore opportunities across our offices in the US, India, Canada, Mexico, UK, Spain, Singapore and Australia.
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About the role
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.
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. 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.
Not the right fit? Search for AI Engineer jobs in Canada
About Tiger Analytics
In a world rife with complexity, we help our customers cut through uncertainty, plan strategically, and execute confidently. We work with them to strategize and operationalize Data and AI-led transformation programs that deliver real value at scale.
Our deep understanding of business value chains, agile operating models, platforms approach, and strategic hyperscaler partnerships allow us to engineer cutting-edge Data & AI solutions. We go beyond standard playbooks and best practices, and forge new ones.
If you’re keen to reimagine what AI can do for some of the toughest problems out there, come join our team of 5000+ brilliant technologists and consultants. Explore opportunities across our offices in the US, India, Canada, Mexico, UK, Spain, Singapore and Australia.