Senior AI Architect

Job Description:
Insight Global is seeking a Senior AI/Mainframe Modernization Architect to drive the design and implementation of AI-enabled solutions within a large enterprise environment. This role focuses on architecting scalable, agent-based automation frameworks to modernize mainframe vulnerability remediation processes. The ideal candidate brings a strong foundation in AI architecture and enterprise integration—going beyond simply building agents to designing the frameworks, standards, and service layers that make AI solutions scalable and maintainable. This individual will play a key role in defining AI development lifecycle practices, establishing governance and architectural standards, and integrating AI capabilities with core infrastructure systems, including z/OS environments. The work sits at the intersection of applied AI engineering and enterprise architecture, enabling long-term modernization and operational efficiency.

Day-to-Day:
Design and lead development of AI-enabled automation frameworks for mainframe vulnerability remediation
Architect agent-based orchestration workflows that scale across enterprise infrastructure
Define and implement AI integration patterns using API/service layers (vs direct system access)
Establish AI architecture standards, governance models, and best practices
Collaborate with infrastructure, security, and engineering teams to prioritize and execute patching strategies
Guide teams on ADLC implementation, including testing, deployment, and lifecycle management
Ensure solutions are scalable, maintainable, and production-ready
Act as a technical advisor on AI architecture, integration strategy, and enterprise adoption

We are a company committed to creating diverse and inclusive environments where people can bring their full, authentic selves to work every day. We are an equal opportunity/affirmative action employer that believes everyone matters. Qualified candidates will receive consideration for employment regardless of their race, color, ethnicity, religion, sex (including pregnancy), sexual orientation, gender identity and expression, marital status, national origin, ancestry, genetic factors, age, disability, protected veteran status, military or uniformed service member status, or any other status or characteristic protected by applicable laws, regulations, and ordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application or recruiting process, please send a request to HR@insightglobal.com.To learn more about how we collect, keep, and process your private information, please review Insight Global's Workforce Privacy Policy: https://insightglobal.com/workforce-privacy-policy/.

Must-Haves:
Deep expertise in AI architecture & orchestration frameworks (not just agent usage)
Strong understanding of AI Development Lifecycle (ADLC) including governance, testing, deployment, and maintainability
Proven experience designing enterprise-scale AI solutions and service-based architectures
Hands-on experience building or designing agent-based systems with a strong architectural foundation
Strong Python development experience in enterprise environments
Experience designing API-driven integrations and reusable service layers
Knowledge of AI orchestration frameworks (e.g., LangChain, LangGraph) at an architectural level
Understanding of Model Context Protocol (MCP) and standardized AI communication patterns
Experience integrating AI solutions with legacy/mainframe systems
Experience working within large-scale enterprise infrastructure environments

Plusses:
Experience with AIOps or AI applied to infrastructure operations
Hands-on integration with z/OSMF and z/OS Connect APIs
Experience supporting mainframe vulnerability remediation and patching processes
Background in agentic AI design patterns and autonomous system architecture
Familiarity with mainframe technologies (z/OS, IMS, CICS, DB2)
Experience designing scalable AI platform layers vs point-to-point integrations
Exposure to enterprise governance, compliance, and AI standardization frameworks
10+ years in mainframe infrastructure engineering or adjacent enterprise systems

Benefit packages for this role will start on the 1st day of employment and include medical, dental, and vision insurance, as well as HSA, FSA, and DCFSA account options, and 401k retirement account access with employer matching. Employees in this role are also entitled to paid sick leave and/or other paid time off as provided by applicable law.