Project Role : Custom Application Architect

Project Role Description : Provide functional and/or technical expertise to plan, analyze, define and support the delivery of future functional and technical capabilities for an application or group of applications. Assist in facilitating impact assessment efforts and in producing and reviewing estimates for client work requests.

Must have skills : Google Cloud Platform Architecture

Good to have skills : Python (Programming Language), Machine Learning (ML), Google Cloud Machine Learning Services

Minimum 12 Year(s) Of Experience Is Required

Educational Qualification : 15 years full time education

Summary:

We are looking for a seasoned Manager – GenAI & Agentic Architecture with deep expertise in designing and delivering enterprise-grade Agentic AI solutions using Google Agent Development Kit (ADK), Vertex AI, and Gemini Enterprise.

This role demands a robust technical leader who can bridge business requirements, enterprise data platforms, and agent-based AI systems. As a Manager, you will drive architectural decisions, guide delivery teams, and ensure scalable, secure, and high-quality implementation of multi-agent and agent-of-agents platforms.

Roles & Responsibilities

Own the overall enterprise architecture and strategy for GenAI and Agentic AI platforms across industries and clients

Define reference architectures, target-state designs, and governance models for multi-agent and agent-of-agents systems, A2A (Agent-to-Agent) communication frameworks, and MCP-based agent orchestration platforms





Act as a strategic advisor to executive stakeholders on how to transform enterprise operations using agentic AI architectures

Lead large transformation programs embedding autonomous and semi-autonomous agents into core business workflows

Oversee Gemini Enterprise adoption, grounding models using first-party (1P) enterprise data stores such as BigQuery, GCS, and internal knowledge bases, as well as third-party (3P) data sources such as SaaS platforms, external systems, and partner data

Provide architectural oversight for advanced RAG and Graph RAG solutions, including enterprise-wide chunking and retrieval standards and knowledge graph–driven reasoning and decision intelligence

Establish enterprise standards for prompt engineering and agent orchestration, including planner–executor and reflection patterns

Define and govern agent observability frameworks at scale, including agent execution visibility, tool-call tracing and auditing, and performance, cost, and outcome monitoring

Define agent security and trust architectures, including policy-driven agent behavior, secure tool and data access, and guardrails for autonomous actions

Drive identity-aware GenAI architectures, with strong governance over Workload Identity Federation, federated credentials, and secure enterprise and partner integrations





Enable and mentor senior architects, managers, and technical leaders across the organization

Govern delivery excellence, scalability, compliance, and platform resilience

Professional & Technical Skills

Must Have Skills

Strong leadership in Google Agent Development Kit (ADK)–based architectures

Deep understanding of agentic systems, multi-agent design, and A2A patterns

Expertise in MCP or equivalent agent control-plane architectures

Proven experience with Vertex AI Machine Learning services at enterprise scale

Hands-on and strategic experience with Gemini Enterprise

Strong command over RAG, Graph RAG, and knowledge-driven AI systems

Experience establishing agent observability, monitoring, and governance

Expertise in agent security, trust, and safety architectures.

Strong understanding of Workload Identity Federation and federated credentials

Executive-level capability in defining GenAI strategy aligned to business outcomes

Good to Have Skills

Google Cloud Machine Learning Services certifications

Experience with enterprise data and integration platforms

Thought leadership in AI governance and responsible AI frameworks

Additional Information

15+ years of relevant experience, with significant leadership experience in AI / GenAI platforms

Proven track record of leading large-scale enterprise AI transformations

Strong educational background in computer science, engineering, or related fields

Exceptional communication, executive presence, and stakeholder management skills

📌 Custom Application Architect (Coimbatore)
🏢 Accenture
📍 Coimbatore