AI Software Engineer – Fellow I

Posted 1hrs ago

Employment Information

Education
Salary
Experience
Job Type

Report this job

Job expired or something wrong with this job?

Job Description

Engineering lead building a multi-tenant agentic AI platform for financial services with a focus on security and technical standards. Leading a high-performing team to drive platform success.

Responsibilities:

  • Own end-to-end engineering delivery of the agentic AI platform
  • Set technical vision and architecture direction for a multi-tenant agentic platform built on AWS Bedrock AgentCore, Strands Agents SDK, and Cedar/AVP authorization
  • Recruit, hire, and develop pillar leads and senior engineers across Identity & Access, Agent Runtime, Observability & FinOps, Catalog & Registry, and Evals & Testing
  • Drive platform security posture — threat modeling for agent delegation chains, prompt injection defence, cross-tenant isolation, and regulatory compliance (SOC2, OCC, FFIEC)
  • Establish engineering standards — ADRs, SDK architecture patterns, code review culture
  • Build and operate the agent onboarding pipeline — enabling adjacent business teams to build, certify, and deploy agents on the platform
  • Define SLOs, operational readiness criteria, and incident response processes for a banking-grade production platform
  • Manage cross-pillar dependencies and technical risk — credential flows, MCP Gateway governance, audit pipeline completeness, and multi-tenant data isolation
  • Partner with Security to establish pre-GA sign-off gates including penetration testing, SAST/DAST integration, and compliance certification
  • Drive FinOps discipline — per-tenant cost attribution, LLM usage optimization, and infrastructure right-sizing

Requirements:

  • 10+ years of software engineering experience
  • 5+ years leading engineering teams across multiple product areas or platform pillars
  • Proven track record building and shipping multi-tenant SaaS platforms — ideally in financial services, payments, or regulated industries
  • Deep hands-on experience with AWS (IAM, KMS, Cognito, DynamoDB, S3, Lambda, Step Functions, ECS/EKS) and infrastructure-as-code (CDK or Terraform)
  • Strong background in platform engineering — SDK design, API governance, developer experience, and internal platform adoption
  • Experience with identity and authorization architectures — federation, RBAC/ABAC, credential management, tenant isolation patterns
  • Demonstrated ability to recruit, develop, and retain senior engineering talent in a high-growth environment
  • Experience managing AWS or cloud vendor partnerships with embedded engineering resources
  • Familiarity with security and compliance in financial services — threat modeling, penetration testing, audit requirements, data residency
  • Strong architectural judgment — ability to make build-vs-buy decisions, set technical direction across distributed teams, and manage technical debt
  • Bachelor's degree in Computer Science, Engineering, or related field (or equivalent experience).

Benefits:

  • Annual incentive opportunity which may be delivered as a mix of cash bonus and equity awards
  • Standard background checks for employment