Senior Architect- Tech Ex AI Assets Foundry Team

Responsibilities

• Define and own the technical architecture and long-term engineering roadmap for West Monroe's Asset Suite.
• Establish architectural standards, engineering best practices, and governance across products and platforms.
• Design scalable, secure, cloud-native solutions that promote reuse and long-term maintainability.
• Lead architectural reviews and guide key technology decisions across engineering teams.
• Drive the adoption of Generative AI, intelligent agents, and automation capabilities across the Asset Suite.
• Define architectural patterns for AI-enabled products using modern enterprise AI platforms and frameworks.
• Evaluate emerging technologies and establish standards for responsible AI, security, governance, and model lifecycle management.
• Serve as the senior technical leader for Asset Engineering.
• Foster engineering excellence through reusable frameworks, reference architectures, and modern development practices.
• Partner with Product, Design, Data & AI, and Consulting leaders to align technical strategy with product priorities.
• Collaborate with Product Management to prioritize technical investments and product roadmaps.
• Support adoption of the Asset Suite across client delivery teams by ensuring products meet business and user needs.
• Represent Asset Engineering in strategic planning, innovation initiatives, and cross-functional technology decisions.

Requirements

• 10+ years of experience in software engineering, architecture, or technical leadership.
• Experience designing enterprise software platforms and reusable technology products.
• Strong knowledge of cloud-native architecture, microservices, APIs, distributed systems, and modern application development.
• Proficiency with languages such as C#, Java, Python, TypeScript, or JavaScript and modern front-end frameworks.
• Experience with Azure, AWS, or Google Cloud Platform, DevOps, CI/CD, Infrastructure as Code, and platform engineering.
• Experience designing and delivering AI-enabled software products in enterprise environments.
• Hands-on experience with enterprise AI platforms such as Azure OpenAI, OpenAI, Anthropic, Amazon Bedrock, or Vertex AI.
• Knowledge of LLMs, RAG, vector databases, agent frameworks, prompt engineering, and AI governance.
• Experience using AI-assisted development tools such as GitHub Copilot, Cursor, Windsurf, or similar platforms.
• Proven ability to lead architecture across multiple engineering teams and influence technical strategy.
• Strong communication, collaboration, and mentoring skills.
• Ability to balance strategic planning with hands-on technical leadership.