Enterprise architect

We’re Hiring | 3× Enterprise AI Architect Roles (LLMs & Agentic AI) – KPMG

Location: Onsite – Bay Area, California

Experience: 12–15 years

Education: Bachelor’s or Master’s in Computer Science, Data Science, Engineering.

Role Overview

As an Enterprise AI Architect, you will define the architecture, governance, and operating model for enterprise-grade AI platforms.

Key Responsibilities

• Architect enterprise-scale Gemini / Vertex AI platforms, including multi-agent systems, RAG pipelines, grounding strategies, and connector ecosystems
• Lead AI governance: intake prioritization, risk assessment, identity propagation, data protection, auditability, and platform standards
• Define the enterprise AI adoption roadmap and long-term operating model
• Guide integration of agents from Copilot Studio, Foundry, Emma, and other platforms into Gemini
• Agent space Establish standards for authentication, OBO flows, schema mapping, error taxonomies, and connector design
• Provide architectural authority for ingestion/action connectors, RBAC/RLS/FLS alignment, and privacy-by-design
• Define AgentOps future state: registry, monitoring, telemetry, and reliability standards Drive performance engineering (<3s p95 latency, ≥99.5% reliability)Ensure compliance with data governance, responsible AI, and regulatory requirements
• Lead workshops and technical enablement to uplift AI maturity across teams.

Must-Have Technical Skills

• Enterprise AI & LLM Architecture (3–5 years)Gemini / Vertex AI, agent applications, RAG pipelines, grounding, orchestration, model governance Ingestion frameworks, APIs, data normalization
• Semantic search, attribute & record-level access controlPII masking, connector factory patternsMulti-agent coordination, intent routing, graceful handoffContext propagation, LangChain / LangGraph / DSPyLLM safety patterns, content moderationPolicy enforcement, auditability, model drift trackingHands-on GCP ExperienceVertex AI, Gemini
• Enterprise (Agentspace)Vector Search / Matching EngineCloud Run, Functions, IAM, Secret Manager, Kubernetes

Soft Skills & Leadership

• Traits Executive presence with ability to influence C-suite and senior stakeholders
• Excellent communication—can translate complex AI concepts for non-technical leaders
• Strong cross-functional collaboration across data, engineering, product, and security
• High ownership, architectural clarity, and decision-making ability
• Agile/Scrum experience (Jira / Azure DevOps)Proactive, detail-oriented, and delivery-focused mindset
• Expected Outcomes Enterprise-grade AI architecture and governance frameworks operationalized.
• Accelerated AI platform adoption with measurable business value100% compliance with security, privacy, and responsible AI standards Scalable, reusable agentic AI framework across use cases

How to Apply?

Email: [email protected]

Contact: +91-9981047124

Job Type: Full-time

Pay: $90,000.00 - $180,000.00 per year

Benefits:

• Health insurance

Work Location: In person