Head of Agentic AI Platform Engineering
Tiger Analytics
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Job summary
Tiger Analytics seeks a highly experienced Lead AI Engineer to helm end-to-end AI engineering workstreams for the Luma platform. This hands-on technical leadership role drives architecture, design, and delivery of enterprise-grade Agentic AI solutions while serving as the primary technical interface for the client.
The ideal candidate blends deep AI engineering expertise with distributed systems, cloud-native architectures, and MLOps, mentors multiple pods, and champions engineering excellence
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.
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.
Skills
Tools
Job description
Tiger Analytics seeks a highly experienced Lead AI Engineer to helm end-to-end AI engineering workstreams for the Luma platform. This hands-on technical leadership role drives architecture, design, and delivery of enterprise-grade Agentic AI solutions while serving as the primary technical interface for the client.
The ideal candidate blends deep AI engineering expertise with distributed systems, cloud-native architectures, and MLOps, mentors multiple pods, and champions engineering excellence
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