West Monroe · 2 weeks ago
Solution Architect, Agentic AI, NYC
West Monroe is a global business and technology consulting firm seeking a highly skilled Solution Architect to lead the design and development of Agentic AI use cases on Google Cloud Platform. The role focuses on establishing architectural patterns, ensuring security and feasibility, and collaborating with various stakeholders to deliver robust solutions.
Business DevelopmentConsultingInformation ServicesInformation TechnologyService Industry
Responsibilities
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
Qualification
Required
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 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 cross-functional teams, including product managers, engineers, and business leaders
Strong problem-solving skills and the ability to navigate ambiguity and complexity
Preferred
Google Cloud certifications (e.g., Professional Cloud Architect, Professional Machine Learning Engineer)
Experience designing and implementing agent-based systems in a production environment
Familiarity with MLOps practices and tools for managing the AI/ML lifecycle
Knowledge of ethical AI principles and frameworks
Experience in scaling proof-of-concept solutions to production-grade systems
Benefits
Medical, dental, vision, and basic life insurance
401k plan
Employee stock ownership program
Annual bonuses
Unlimited flexible time off
Ten paid holidays throughout the calendar year
Ten weeks of paid parental leave
Company
West Monroe
West Monroe offers digital transformation, analytics, cloud, cyber security, business advisory, and management consulting services.
H1B Sponsorship
West Monroe has a track record of offering H1B sponsorships. Please note that this does not
guarantee sponsorship for this specific role. Below presents additional info for your
reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
Represents job field similar to this job
Trends of Total Sponsorships
2025 (4)
2024 (2)
2023 (2)
2022 (10)
2021 (7)
Funding
Current Stage
Late StageTotal Funding
unknownKey Investors
MSD Partners
2021-10-15Series Unknown
2020-01-07Acquired
Leadership Team
Recent News
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