Hiring: Head of AI Platform Engineering - Execution Plane Company: Guardian Life Location: New York, NY Job Posted Time: 2026-09-12 07:43:24 Target Skills & Keywords : ABAC, API Gateway, AWS, CI/CD, CloudWatch, DynamoDB, EKS, IAM, LLM, Lambda, Load Testing, MLOps, RAG, RBAC, REST, S3, SageMaker, Step Functions About the job Required Skills: •As the Head of AI Platform Engineering – Execution Plane, you will lead the development and implementation of our enterprise platform’s execution layer including management of agentic AI workloads, model gateways, agent runtimes, tool/action gateways, MCP servers, orchestration frameworks, or AI execution engines. •Collaborate closely with cross-functional teams, stakeholders, and technology partners to develop and integrate automation solutions that drive business growth, improve customer experiences, and reduce operational costs. Qualifications: •Bachelor’s or master’s degree in computer science, engineering, management or a related field. •Strong people leadership experience managing software engineering teams, including hiring, coaching, performance management, and developing senior technical talent. •Deep hands-on technical background designing, building, and operating production-grade distributed systems, AI/ML platforms, data platforms, or cloud-native runtime services. •Demonstrated capacity to own the roadmap and delivery for execution plane capabilities such as model gateways, agent runtimes, tool/action gateways, runtime adapters, MCP services, knowledge bases, retrieval pipelines, inference services, and deployment patterns. •In-depth knowledge of data access patterns, enterprise APIs, retrieval-augmented generation, embeddings, vector/search systems, context engineering, and governed access to systems of record. •Demonstrated capacity to partner with control plane, developer experience, data engineering, security, architecture, operations, and domain application teams to ensure execution technologies operate behind governed platform interfaces. •Proven ability to drive engineering excellence through design reviews, architecture standards, testing, CI/CD, infrastructure automation, incident response, SLOs, runbooks, and production support mechanisms. •In-depth knowledge of enterprise security and compliance requirements for runtime execution, including identity propagation, auditability, data handling, least privilege access, secrets management, and environment isolation. •Strong communication and influence skills, with the ability to simplify complex runtime, data, and AI execution topics for senior stakeholders while aligning teams around reusable platform patterns. •Operational familiarity with RAG systems, enterprise search, vector databases, embedding models, rerankers, knowledge bases, context engineering, and governed retrieval from enterprise data sources. Compensation: •Excellent medical, dental, supplemental health, life and vision coverage for you and your dependents with no wait period Interested candidates, please apply directly through the job posting on company's career page or try via AI auto apply on this platform. Don't miss this opportunity to join a forward-thinking team!