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About the Role
We are seeking a Staff AI Platform & Agent Runtime Engineer to build the foundation for enterprise-scale AI and agent execution. This role involves architecting and operating the platform that powers AI agents from experimentation to production, enabling secure and reliable deployment of intelligent agentic workloads. You will shape the runtime, tooling, and developer experience at the intersection of platform engineering, MLOps, and agentic AI, accelerating AI adoption across the organization. This is a hands-on leadership position for individuals who excel at solving complex infrastructure challenges and defining technical direction in a dynamic field.
Responsibilities
- Define enterprise AI platform architecture and roadmap.
- Design, build, and operate AI-native CI/CD platforms.
- Implement secure-by-design AI controls and governance.
- Define reliability, observability, resilience, and FinOps practices.
- Lead architecture reviews and developer enablement programs.
- Provide technical leadership across engineering teams.
Requirements
- 7+ years of software, platform, or cloud engineering experience, with 3+ years in AI/ML platforms or agentic AI systems.
- Deep hands-on expertise with Azure (AKS, networking, private endpoints, identity, Key Vault) and Azure AI Foundry or equivalent AI platforms.
- Proven experience building CI/CD pipelines for ML/LLM workloads (model, prompt, and agent lifecycle management).
- Strong background in distributed systems, container orchestration (Kubernetes), and API/SDK design.
- Experience with agent frameworks (e.g., Semantic Kernel, LangChain, AutoGen) and orchestration patterns (memory, tools, planning).
- Solid understanding of LLM inference optimization, model routing, evaluation, and observability.
- Track record of establishing platform standards, paved paths, and developer enablement at scale.
- Excellent collaboration and communication skills across engineering, security, risk, and business stakeholders.
- Prior experience in regulated industries (financial services, banking, insurance).
- Familiarity with Microsoft Fabric, Power Platform, Copilot, and Copilot Studio integrations.
- Experience with FinOps for AI workloads including cost attribution, token accounting, and model economics.
- Background in Responsible AI, model governance, and evaluation frameworks.
- Contributions to open-source AI/agent platform projects.
Skills
- AI Platform Engineering
- Agent Runtime
- MLOps
- Agentic AI
- CI/CD
- Azure
- AKS
- Kubernetes
- API Design
- SDK Design
- Semantic Kernel
- LangChain
- AutoGen
- LLM Inference Optimization
- Responsible AI
- Model Governance
- FinOps
Experience Level
- Staff level
- 7+ years of software, platform, or cloud engineering experience
- 3+ years in AI/ML platforms or agentic AI systems
About the Company
- EQ Bank is a financial institution.