Solution Architect, Agentic AI, NYC

West Monroe is seeking a highly skilled solution architect to lead the end‑to‑end design and development of Agentic use cases & prototypes on Google Cloud Platform (GCP). This role will focus on designing POCs & prototypes, establishing architectural guardrails and integration patterns, and ensuring that solutions are feasible, secure, and extensible beyond the proof‑of‑concept (PoC) phase. The candidate must be based in New York City and work in a hybrid capacity.

• Design the end‑to‑end architecture for Agentic AI use cases, ensuring alignment with enterprise goals and platform capabilities as defined by the CREATe process.
• Develop the agent operating model, including decision‑making frameworks, interaction protocols, and lifecycle management.
• Define and implement architectural patterns that enable scalability, security, and extensibility for AI‑driven solutions.
• Collaborate with engineering teams to ensure the architecture is actionable and meets performance, reliability, and compliance requirements.

• Define architectural guardrails to ensure consistency, security, and adherence to platform standards.
• Develop integration patterns for seamless interaction between Agentic AI solutions, enterprise systems, and external services.
• Ensure all designs incorporate best practices for security, data privacy, and governance.
• Proactively identify and mitigate architectural risks, ensuring solutions are robust and resilient.

• Evaluate the feasibility of proposed solutions, ensuring they are technically achievable within project constraints.
• Design architectures that are secure by design, addressing data protection, identity management, and compliance requirements.
• Ensure solutions are extensible beyond the proof‑of‑concept phase, enabling future enhancements and scaling for broader use cases.
• Conduct technical reviews and validations to ensure the architecture aligns with business objectives and technical standards.

• Partner with product managers, data scientists, engineers, and business stakeholders to align on requirements and solution designs.
• Act as a trusted advisor to stakeholders, providing guidance on architectural decisions and trade‑offs.
• Facilitate workshops and design sessions to gather requirements, validate designs, and drive consensus.
• Provide technical leadership and mentorship to engineering teams during implementation.

• Google Cloud Platform (GCP):
  Strong experience with GCP services, including Vertex AI, Big Query, Cloud Functions, Kubernetes Engine, and Pub/Sub.
• AI/ML Architecture:
  Deep understanding of AI/ML systems, including agent‑based models, reinforcement learning, and adaptive decision‑making.
• 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.
• Solution Architecture:
  Proven experience in designing scalable, secure, and extensible solutions for enterprise environments.
• Integration Patterns:
  Expertise in API design, microservices, and event‑driven architectures.
• Security & Compliance:
  Knowledge of cloud security best practices, data privacy regulations, and governance frameworks.
• Programming:
  Strong proficiency in Python; working knowledge of Java and Go for agent services, tooling, and orchestration.

• Strong ability to create high‑quality architectural diagrams, technical specifications, and documentation.
• Experience in translating business requirements into technical solutions and ensuring alignment with enterprise standards.
• Familiarity with Agile methodologies and iterative solution delivery.

• Excellent communication and stakeholder management skills, with the ability to explain complex technical concepts to non‑technical audiences.
• Experience working with…