Agentic Solution Architect, NYC

West Monroe • New York, NY

1d • $175,000 - $205,900 • Hybrid

About The Position

West Monroe is seeking a highly skilled and innovative Agentic Solution Architect to lead the design and development of Agentic AI solutions on Google Cloud Platform (GCP). This role will focus on creating and refining agent architectures and patterns, developing detailed diagrams and specifications, incorporating platform standards, and supporting the CREATe process (Collaborative Requirements Engineering and Agile Testing). Hybrid in New York City.

Requirements

• Agentic AI Architecture: Design and implementation of autonomous, multi-agent systems including planning, memory, tool use, coordination, and decision-making patterns.
• Agentic Patterns & Frameworks: Hands-on experience with common agentic design patterns such as RAG, orchestrator–worker, planner–executor, and collaborative multi-agent architectures.
• Agent Communication & Protocols: Proficient in MCP (Model Context Protocol) and A2A (agent-to-agent) standards for interoperable, distributed agent systems.
• Cloud-Native AI (GCP): Hands-on expertise with Vertex AI, BigQuery, Pub/Sub, Cloud Functions, and GKE to build and operate agent-based platforms.
• Scalable System Design: Architecture of secure, resilient, and high-performance AI/ML systems optimized for agent workflows.
• Programming: Strong proficiency in Python; working knowledge of Java and Go for agent services, tooling, and orchestration.
• Data & MLOps Pipelines: Experience with data engineering, MLOps, and end-to-end AI lifecycle management on GCP.
• Strong ability to create high-quality architectural diagrams, design specifications, and technical documentation.
• Experience with tools like Lucidchart, Visio, or similar for diagramming, and Confluence/Jira for documentation and collaboration.
• Experience working in Agile environments and contributing to iterative development processes.
• Ability to work collaboratively with cross-functional teams, including product managers, engineers, and business stakeholders.
• Strong communication skills to present complex designs and concepts to technical and non-technical audiences.

Nice To Haves

• Google Cloud certifications (e.g., Professional Cloud Architect, Professional Machine Learning Engineer).
• Experience with reinforcement learning, multi-agent systems, or other advanced AI techniques.
• Familiarity with ethical AI principles and governance frameworks.
• Prior experience contributing to the CREATe process or similar collaborative engineering methodologies.

Responsibilities

• Design and refine Agentic AI architectures and patterns to enable autonomous, adaptive, and intelligent system behavior.
• Develop scalable and secure AI solutions leveraging GCP services such as Vertex AI, BigQuery, Cloud Functions, and Kubernetes Engine.
• Define and implement reusable architecture patterns and frameworks that align with enterprise platform standards.
• Collaborate with engineering teams to ensure agent designs are implemented effectively and meet performance, security, and scalability requirements.
• Create and maintain detailed architectural diagrams, technical specifications, and design documentation.
• Translate complex technical concepts into clear and actionable deliverables for engineering teams and stakeholders.
• Ensure all designs and artifacts adhere to platform standards and best practices.
• Incorporate platform standards, security guidelines, and compliance requirements into solution designs.
• Ensure seamless integration of Agentic AI solutions with existing enterprise platforms and systems.
• Continuously evaluate and optimize architectures to align with evolving platform capabilities and business needs.
• Actively contribute to the CREATe process, including requirements engineering, design validation, and iterative testing.
• Collaborate with cross-functional teams to gather requirements, validate designs, and align on delivery priorities.
• Support the submission of architectural designs, specifications, and testable models as part of the CREATe process.

Benefits

• Employees (and their families) are covered by medical, dental, vision, and basic life insurance.
• Employees are able to enroll in our company’s 401k plan, purchase shares from our employee stock ownership program and be eligible to receive annual bonuses.
• Employees will also receive unlimited flexible time off and ten paid holidays throughout the calendar year.
• Eligibility for ten weeks of paid parental leave will also be available upon hire date.

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level
• Education Level: No Education Listed
• Number of Employees: 1,001-5,000 employees