# Head of AI Platform Engineering - Execution Plane Source: https://realanalystjobs.com/job/head-of-ai-platform-engineering-execution-plane-guardian-life-4c80bc08 Head of AI Platform Engineering - Execution Plane at Guardian Life, an on-site role based in New York, New York, USA. Posted on 21 October 2026, read from Guardian Life's own careers page (Workday), which RealAnalystJobs re-checks daily and removes the role when it closes. Updated 15 November 2026. ## Key facts - Company: [Guardian Life](https://realanalystjobs.com/companies/guardian-life) - Location: New York, New York, USA - Work mode: On-site - Posted: Oct 21, 2026 - Employment type: Full time - Source: Guardian Life's careers page (Workday), re-checked daily Skills: AWS ## About this role 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. You will: You will 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. You have: • 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. • Experience leading teams responsible for the execution layer of a platform, including runtime services, model inference, retrieval, orchestration, tool invocation, workflow execution, or production AI operations. • Ability 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. • Strong understanding of data access patterns, enterprise APIs, retrieval-augmented generation, embeddings, vector/search systems, context engineering, and governed access to systems of record. • Experience building reliable, scalable, low-latency execution services with clear contracts, strong observability, graceful degradation, retry patterns, rate limits, and operational resilience. • Ability 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. • Strong understanding 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. You will: • Experience with agentic AI systems, LLM platforms, model gateways, agent runtimes, tool/action gateways, MCP servers, orchestration frameworks, or AI execution engines. • Experience with AWS-based AI execution services and cloud-native patterns, including Bedrock, AgentCore, SageMaker, Lambda, Step Functions, API Gateway, EKS, DynamoDB, S3, IAM, CloudWatch, and related DevOps tooling. • Familiarity with RAG systems, enterprise search, vector databases, embedding models, rerankers, knowledge bases, context engineering, and governed retrieval from enterprise data sources. • Experience designing multi-tenant runtime platforms with environment isolation, workload identities, RBAC/ABAC, cross-account access patterns, quotas, throttling, and secure service-to-service communication. • Background in MLOps, LLMOps, AIOps, model lifecycle management, evaluation pipelines, model serving, inference optimization, or production AI operations. • Experience with observability for AI workloads, including distributed tracing, token usage, latency, model/tool errors, cost attribution, quality metrics, safety metrics, and operational dashboards. • Experience with performance, scalability, and cost optimization for high-volume runtime services, including caching, batching, streaming, load testing, capacity planning, and GPU/CPU optimization where applicable. • Experience building reusable platform abstractions, SDKs, runtime adapters, reference architectures, or deployment templates that make execution technologies portable across vendors and use cases. • Experience integrating enterprise tools, APIs, data services, and workflow systems through governed connectors rather than point-to-point application wiring. • Comfort operating in a regulated, matrixed environment where production safety, auditability, resiliency, and vendor optionality are core design principles. Location: • New York, New Jersey or Pennsylvania • Up to 10% travel within US Our promise: • At Guardian, you’ll have the support and flexibility to achieve your professional and personal goals. • Through skill-building, leadership development and philanthropic opportunities, we provide opportunities to build communities and grow your career, surrounded by diverse colleagues with high ethical standards We offer: • Meaningful and challenging work opportunities to accelerate technology and innovation in a secure and compliant way • Competitive compensation • Excellent medical, dental, supplemental health, life and vision coverage for you and your dependents with no wait period • Life and disability insurance • A great 401(k) with match • Tuition assistance, paid parental leave and backup family care • Dynamic, modern work environments that promote collaboration and creativity • Flexible time off, dress code, and work location policies to balance your work and life in the ways that suit you best • Social responsibility in all aspects of our work. We volunteer within our local communities, create educational alliances with colleges, drive a variety of initiatives in sustainability, and advocate for diversity and inclusion in all that we do. About Guardian: Every day, Guardian provides Americans the security they deserve through our insurance and we Description from Guardian Life's public careers feed, reproduced so you can read the role here. Apply on the company's own site; Real Analyst Jobs never submits anything for you. ## How to apply Open [this role on Real Analyst Jobs](https://realanalystjobs.com/job/head-of-ai-platform-engineering-execution-plane-guardian-life-4c80bc08) and use Apply now there to reach the employer's application. The listing is re-checked against Guardian Life's careers page daily and removed when it closes. ## Guardian Life 4 open analyst roles on Real Analyst Jobs. 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