Source description
About the role
• 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.
Preferred Qualifications
• 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.
More at EQ Bank