Head of AI Platform Engineering

“I can succeed as the Head of AI Platform Engineering at Capital Group.”

As the Head of AI Platform Engineering, you will lead the vision, strategy, and delivery of Capital Group’s enterprise AI platform. You will architect secure, scalable, and resilient foundations that accelerate innovation while meeting rigorous standards for security, compliance, and operational excellence. You will collaborate across engineering, security, and risk teams to turn cutting-edge AI into measurable business value—governing responsibly and optimizing for speed, reliability, cost, and ROI.

In this role, you will build and lead a diverse, high-performing team that develops and operates Capital Group’s AI platform. You will own the end-to-end design, delivery, and evolution of a secure, scalable platform that empowers teams across the organization to build and deploy AI applications at scale. You bring deep expertise in platform engineering and a strong understanding of AI/ML systems, enabling developers and business partners to innovate responsibly. You will work closely with Product Management, Architecture, and Information Security to integrate AI with care, enforce governance, and ensure compliance. As the principal engineering authority for AI, you will make strategic decisions that balance agility, control, and enterprise risk.

“I am the person Capital Group is looking for.”  

Key Responsibilities

• Define and Execute Platform Strategy: You will set the vision, roadmap, and operating model for Capital’s Custom Development AI platform, aligning with enterprise architecture and business goals while balancing speed, scale, and governance.
• Build and Evolve AI Capabilities: You will lead the design, development, and deployment of scalable, reusable AI services—covering model serving, orchestration, guardrails, and developer enablement through SDKs, APIs, and CI/CD pipelines.
• Ensure Security, Compliance, and Responsible AI: You will embed security, privacy, and ethical guardrails into all layers of the platform, enforce governance standards, and partner with InfoSec and risk teams to meet regulatory and policy requirements.
• Drive Operational Excellence and Reliability: You will establish SRE principles, observability, FinOps practices, and service management processes that ensure high availability, cost efficiency, and resilience of AI services.
• Lead Cross-Functional Collaboration and Team Development: You will partner with product, architecture, and security teams to deliver enterprise-ready AI solutions, while mentoring and growing an inclusive, high-performing platform engineering team.

Required Qualifications

• You have 10+ years of experience designing and implementing complex distributed systems and enterprise architectures, with a proven track record of building scalable, resilient platforms.
• You have 5+ years of experience operating public and private clouds (AWS, Azure), leveraging cloud-native services, containers (Docker/Kubernetes), and serverless technologies, with exposure to hybrid or multi-cloud environments.
• You bring strong software engineering foundations (10+ years), including coding, APIs, integration patterns, and maintainable design, with proficiency in languages such as Python, Java, or Go.
• You are skilled in building automated CI/CD pipelines (e.g., GitHub/GitLab, Jenkins), implementing Infrastructure as Code (Terraform, CloudFormation), and embedding DevSecOps controls in the path to production.
• You have 5+ years of experience applying application and infrastructure security—including IAM, network security, encryption/tokenization—and operating against compliance frameworks such as SOC 2 and GDPR.
• You demonstrate a solid understanding of AI, large language models, and end-to-end ML workflows (training, fine-tuning, inference), with hands-on MLOps and production model deployment experience.
• You are adept at troubleshooting complex cross-stack issues using data and telemetry and driving timely resolution.
• You lead by example—mentoring engineers, guiding cross-functional initiatives, and fostering a collaborative, inclusive culture.
• You communicate complex technical concepts clearly to non-technical stakeholders and executives, producing well-structured proposals, architectural diagrams, and documentation.

Preferred Qualifications

• You have experience operating in large, regulated enterprises (ideally financial services), and navigating governance, risk, and compliance when introducing new technologies like AI.
• You are proficient in automating platform provisioning and configuration with Infrastructure as Code and config management (Terraform, CloudFormation, Ansible), and practicing GitOps (e.