Lead Architect - Enterprise & AI Enablement

Lead Architect role focused on enabling AI-powered development platforms for Citizen Developers. The role involves designing platforms, guardrails, and reusable patterns for secure, transparent, and responsible AI use, balancing ease of use with strong governance to scale AI capabilities safely across the organization. It requires expertise in AI platforms, agent frameworks, and enterprise integration patterns, with a focus on establishing governance-by-design and enabling reuse.

What you'd actually do

  1. Domain expertise in AI platforms, agent frameworks, low-code/no-code ecosystems, and enterprise integration patterns.
  2. Design and define reference architectures, reusable patterns, and guardrails for AI-enabled associate and citizen development.
  3. Establish governance-by-design capabilities, including embedded controls for security, compliance, explainability, and transparency.
  4. Research and hands-on testing of new technologies and techniques for use with agent platforms.
  5. Participant and core contributor to the Center of Excellent for citizen agent development.

Skills

Required

  • Experience with modern AI concepts, including agentic AI, MCP servers, and/or the creation of AI plugins and skills.
  • Knowledge of cloud-native architectures, APIs, and secure integration patterns.
  • Demonstrated expertise in security, operational, and resiliency architecture principles.
  • Experience with platforms like Claude AI, Copilot Studio, or similar ecosystems.
  • Demonstrated ability to lead technical initiatives requiring engagement and support from partner organizations.

Nice to have

  • Experience with citizen developer platform enablement at scale.
  • Familiarity with responsible AI concepts such as explainability and auditability.
  • Cloud PaaS technologies, Power BI, Kubernetes, web APIs, API security protocols, etc., with preferred experience in Azure.
  • Experience working in large enterprise environments, preferably in financial services.
  • Demonstrated influencing and negotiation skills.
  • Demonstrated experience with enabling technology adoption in an Enterprise environment.

What the JD emphasized

  • AI-powered development platforms for Citizen Developers
  • guardrails
  • responsible use
  • scale safely
  • agent-based capabilities
  • agent frameworks
  • governance-by-design
  • security
  • compliance
  • explainability
  • transparency
  • agent platforms

Other signals

  • design and define reference architectures, reusable patterns, and guardrails for AI-enabled associate and citizen development
  • establish governance-by-design capabilities, including embedded controls for security, compliance, explainability, and transparency
  • research and hands-on testing of new technologies and techniques for use with agent platforms