Custom Application Architect

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 strong 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

15 years full time education

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