Head of AI Platform Engineering - Execution Plane

Yoh Services LLC; New York (NY); Hybrid; USD 180,000 - 240,000; Full time

Benefits offered by this job

Medical, Prescription, Dental & Vision

Health Savings Account (HSA)

Life & Disability Insurance

401K Retirement Savings Plan

Employee Assistance Program (EAP)

Job summary

Yoh Services LLC is seeking a Head of AI Platform Engineering in New York City. Hybrid/onsite role focusing on leading the AI execution platform—model gateways, runtimes, and orchestration frameworks—to power enterprise AI workloads.

You will drive architecture, security, and operational excellence while growing teams and aligning platform strategy with business goals. Competitive compensation with bonus eligibility.

Qualifications

• Bachelor's or Master's degree in Computer Science, Engineering, or a related field.
• Proven experience leading software engineering teams, including hiring and coaching.
• Strong hands-on experience designing and operating large-scale distributed systems and cloud-native platforms.
• Experience leading teams for AI/ML platforms, orchestration, or production AI operations.

Responsibilities

• Lead and develop engineering teams responsible for AI execution and runtime platforms.
• Define and execute the roadmap for AI execution services including model gateways and runtimes.
• Build scalable, reliable, and observable runtime systems for production AI workloads.
• Partner with architecture, security, data engineering, and platform teams to enable reusable AI platform capabilities.
• Drive engineering excellence through architecture reviews, CI/CD, incident management, and SRE practices.
• Ensure execution platforms meet security, governance, compliance, and audit requirements.
• Collaborate to identify automation opportunities and drive AI adoption and efficiency.
• Establish best practices for deployment, monitoring, resiliency, and performance of AI services.

Skills

Team leadership

Distributed systems

Cloud-native platforms

CI/CD

Security best practices

Observability

Stakeholder communication

Platform architecture

Education

Bachelor's or Master's degree in CS or Engineering

Tools

Bedrock

SageMaker

Lambda

API Gateway

Step Functions

EKS

DynamoDB

S3

IAM

CloudWatch

Job description

Head of AI Platform Engineering

Job Details:

Location: New York, NY (Hybrid/Onsite)

Employment Type: Full-Time

Compensation: $180-$240k base plus bonus

We are seeking a highly experienced Head of AI Platform Engineering to lead the design, development, and operation of our AI execution platform. This leader will own the execution plane that powers enterprise AI and agentic AI workloads, including model gateways, agent runtimes, orchestration frameworks, tool invocation services, MCP servers, retrieval pipelines, and production AI operations.

This role combines deep technical leadership with people management and platform strategy. You will lead engineering teams responsible for building secure, scalable, and resilient AI infrastructure that enables enterprise-wide adoption of AI capabilities.

What You'll Do

• Lead and develop engineering teams responsible for AI execution and runtime platforms.
• Define and execute the roadmap for AI execution services including model gateways, agent runtimes, orchestration frameworks, tool gateways, and inference services.
• Build scalable, reliable, and observable runtime systems that support production AI workloads.
• Partner with architecture, security, data engineering, application development, and platform teams to establish reusable AI platform capabilities.
• Drive engineering excellence through architecture reviews, testing practices, CI/CD automation, incident management, operational readiness, and service reliability objectives.
• Ensure execution platforms meet enterprise security, governance, compliance, and audit requirements.
• Collaborate with stakeholders to identify opportunities for automation, AI adoption, and operational efficiency across the organization.
• Establish best practices for deployment, monitoring, resiliency, and performance optimization of AI services.

Required Qualifications

• Bachelor's or Master's degree in Computer Science, Engineering, or a related field.
• Proven experience leading software engineering teams, including hiring, coaching, and developing senior technical talent.
• Strong hands-on experience designing and operating large-scale distributed systems and cloud-native platforms.
• Experience leading teams responsible for AI/ML platforms, inference services, orchestration layers, runtime environments, or production AI operations.
• Deep understanding of modern platform architecture, APIs, data access patterns, and enterprise integration strategies.
• Experience building highly available and low-latency services with strong observability, resiliency, and operational controls.
• Strong knowledge of CI/CD practices, infrastructure automation, testing frameworks, and production support models.
• Understanding of enterprise security principles including identity management, auditability, secrets management, least-privilege access, and environment isolation.
• Excellent communication skills with the ability to influence technical and business stakeholders.

Preferred Qualifications

• Experience with agentic AI systems, LLM platforms, model gateways, agent runtimes, and orchestration frameworks.
• Hands-on experience with AWS services including Bedrock, SageMaker, Lambda, API Gateway, Step Functions, EKS, DynamoDB, S3, IAM, and CloudWatch.
• Knowledge of Retrieval-Augmented Generation (RAG), vector databases, embeddings, enterprise search, and knowledge management architectures.
• Experience with MLOps, LLMOps, model lifecycle management, AI evaluation frameworks, and inference optimization.
• Expertise in designing multi-tenant platforms with RBAC, ABAC, workload isolation, and secure service-to-service communication.
• Experience implementing observability solutions for AI workloads, including latency, cost attribution, tracing, safety metrics, and quality monitoring.
• Background building reusable SDKs, platform abstractions, deployment templates, and runtime adapters.
• Experience operating within regulated industries where security, governance, resiliency, and auditability are critical requirements.

Estimated Min Rate: $180000.00

Estimated Max Rate: $240000.00

What's In It for You?

• Medical, Prescription, Dental & Vision Benefits (for employees working 20+ hours per week)
• Health Savings Account (HSA) (for employees working 20+ hours per week)
• Life & Disability Insurance (for employees working 20+ hours per week)
• MetLife Voluntary Benefits
• Employee Assistance Program (EAP)
• 401K Retirement Savings Plan
• Direct Deposit & weekly epayroll
• Referral Bonus Programs
• Certification and training opportunities

Note: Any pay ranges displayed are estimations. Actual pay is determined by an applicant's experience, technical expertise, and other qualifications as listed in the job description. All qualified applicants are welcome to apply.

Yoh, a Day & Zimmermann company, is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran.

Visit https://www.yoh.com/applicants-with-disabilities to contact us if you are an individual with a disability and require accommodation in the application process.

For California applicants, qualified applicants with arrest or conviction records will be considered for employment in accordance with the Los Angeles County Fair Chance Ordinance for Employers and the California Fair Chance Act. All of the material job duties described in this posting are job duties for which a criminal history may have a direct, adverse, and negative relationship potentially resulting in the withdrawal of a conditional offer of employment.

It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability.

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