In this role, you will

Define and deliver the GenAI Agent platform end-to-end, partnering with cross-functional stakeholders from discovery through production rollout for priority banking services
Architect core platform capabilities using agent orchestration (supervisors/super agents), workflows, tool/function integration, memory/state management, skill registry, and reusable patterns
Drive adoption at scale by referencing implementations, onboarding pathways, developer enablement (APIs/SDKs, templates, documentation) and governance for safe repeatable delivery
Own performance management. This includes success metrics/SLOs, observability (logs/metrics/traces), evaluations, and continuous tuning for reliability, accuracy, latency, and cost
Run delivery governance and execution by managing scope, risks, dependencies, milestones, removing blockers, and advising senior leadership with clear trade-offs (value/risk/cost)

To be successful in this role you should have the following skills

Strong software engineering background with hands-on coding in Python with Java or Golang
Experience with AWS/Azure/GCP with the ability to deploy and operate production services (Docker/Kubernetes preferred)
Strong experience in building and shipping LLM/GenAI apps, agentic workflows, multi-agent patterns, tool/function calling, RAG, search, vector databases and integration patterns (e.g., MCP/tool calling)
Ability to solve complex problems and work effectively with technical and non-technical stakeholders
Display an “AI-native mindset” (e.g., using coding assistants to improve productivity/quality)

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Posted: July 12th, 2026