Lead Architect - Enterprise & AI Enablement

Architect

Lead Architect – Enterprise & AI Enablement

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  • Date posted
    July 15, 2026
  • Expiration date
    October 15, 2026
  • Application ends
    October 15, 2026

Our Client Currently looking for Lead Architect – Enterprise & AI Enablement

Key Responsibilities

  • Domain expertise in AI platforms, agent frameworks, low-code/no-code ecosystems, and enterprise integration patterns.
  • 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.
  • Participant and core contributor to the Center of Excellent for citizen agent development.
  • Partner with engineering, security, and architecture teams to validate solutions and drive adoption.
  • Enable reuse through templates, components, and accelerators that reduce complexity and technical debt.
  • Promote adoption through training, guidance, and mentoring across both technical and business teams.

Required Qualifications

  • Bachelor’s degree in engineering discipline or equivalent experience.
  • 5+ years of experience in software engineering or architecture in enterprise environments.
  • 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.

Preferred Qualifications

  • 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.
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