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 POC’s & prototypes, establishing architectural guardrails and integration patterns, and ensuring that solutions are feasible, secure, and extensible beyond the proof-of-concept (PoC) phase.  Requirement to be in New York City in a hybrid capacity.

Key Responsibilities

End-to-End Architecture Design

· 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.

Establish Guardrails & Integration Patterns

· 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.

Feasibility, Security & Extensibility

· 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.

Collaboration & Stakeholder Engagement

· 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.

 

Required Skills & Qualifications

Technical Expertise

· Google Cloud Platform (GCP): Strong experience with GCP services, including Vertex AI, BigQuery, 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 p