Delivery Senior Consultant, Software Engineering Solutions, Identity & Gen AI Engineer

This role focuses on hands-on engineering, integration, and continuous enhancement of AI solutions where identity and access controls are a first-class concern. The engineer will build generative AI solutions with identity, access, and trust engineered in from the start, securing both human and non-human identities and governing how AI agents and GenAI platforms reach data and downstream systems.

What you'd actually do

  1. Build and integrate generative AI solutions, including LLM applications, retrieval-augmented generation, and AI agents, with secure access to data and downstream systems.
  2. Engineer authentication, authorization, and identity controls for AI agents, service accounts, and other non-human identities operating across enterprise and cloud environments.
  3. Develop guardrails for agentic workflows, including scoped permissions, least-privilege access, credential and secrets management, and runtime policy enforcement.
  4. Implement logging, monitoring, and governance that provide traceability and accountability for AI system actions.
  5. Collaborate with IAM, security architecture, and data teams to embed identity controls into GenAI solution delivery and operations.

Skills

Required

  • Python or a comparable language
  • building, integrating, or deploying generative AI solutions such as large language model (LLM) applications, retrieval-augmented generation (RAG), or AI agents
  • use of model APIs, orchestration frameworks, and AI development tools
  • identity and access management concepts and protocols
  • authentication
  • authorization
  • single sign-on (SSO)
  • OpenID Connect (OIDC)
  • Security Assertion Markup Language (SAML)
  • OAuth
  • JSON Web Token (JWT)

Nice to have

  • Ability to work independently and collaborate as part of a team
  • Effective written and verbal communication skills
  • Meticulous attention to detail and quality of work product
  • Ability to build and sustain professional relationships
  • Ability to lead projects or workstreams
  • Ability to manage and prioritize multiple tasks in a fast-paced and dynamic environment
  • Strong interpersonal skills and professional demeanor
  • Ability to meet deadlines
  • Ability to provide clear guidance to others

What the JD emphasized

  • identity and access controls are a first-class concern
  • secure access to data and downstream systems
  • identity and access controls

Other signals

  • identity and access controls for AI agents
  • governing how AI agents and GenAI platforms reach data
  • secure access to data and downstream systems
  • guardrails for agentic workflows
  • scoped permissions, least-privilege access, credential and secrets management, and runtime policy enforcement