Enterprise Technology Architect

Project Role : Enterprise Technology Architect Project Role Description : Architect complex end-to-end IT solutions across the enterprise. Apply the latest technology and industry expertise to create better products and experiences. Must have skills : Google Cloud Vertex AI Model Development Good to have skills : NA Minimum 15 year(s) of experience is required Educational Qualification : 15 years full time education Summary We are seeking a Senior Manager – GenAI & Agentic Architecture with deep expertise in Google Agent Development Kit (ADK), Agent-to-Agent (A2A) and MCP-based orchestration, and Vertex AI Machine Learning services. This role is responsible for designing, scaling, and governing enterprise-grade multi-agent systems that leverage Generative AI, RAG, Graph RAG, and Google foundation models. The ideal candidate is a visionary architect who can bridge business workflows, data platforms, and autonomous AI agents at scale. Roles & Responsibilities Own end-to-end agentic architecture for enterprise GenAI platforms using Google ADK and Vertex AI Define multi-agent and agent-of-agents architectures leveraging A2A (Agent-to-Agent) communication patterns Design and operationalize MCP-based orchestration layers for agent lifecycle management, coordination, and governance Establish reference architectures, design patterns, and reusable frameworks for scalable agent platforms Architect advanced RAG pipelines, including optimal chunking strategies, embedding selection, retrieval tuning, and re-ranking Design and implement Graph RAG solutions using knowledge graphs for relationship-aware reasoning and contextual enrichment Lead Gemini Enterprise implementations, grounding GenAI models on 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 systems and external content repositories Define and implement agent observability and monitoring frameworks, including agent execution tracing, tool-call visibility, prompt and response auditing, and latency, cost, and quality metrics Own agent security architecture, covering secure tool access and permissions, policy-based agent behavior, and guardrails for autonomous actions Drive identity-aware GenAI architecture, with strong understanding of Workload Identity Federation, federated credentials, and secure access to enterprise systems, APIs, and data stores Govern adoption of Vertex AI Machine Learning services, including embeddings, model evaluation, pipelines, and inference Standardize prompt engineering and orchestration techniques, including role prompting, planner–executor patterns, and self-reflection loops Act as a strategic advisor to senior stakeholders on embedding agentic AI into enterprise processes Mentor architects and senior engineers oversee delivery governance, scalability, and platform reliability Professional & Technical Skills Must Have Skills Google Agent Development Kit (ADK) – hands-on enterprise usage Agent-to-Agent (A2A) communication architectures MCP (Model / Multi-Agent Control Plane) or equivalent agent orchestration patterns Vertex AI Machine Learning services (training, prediction, embeddings, pipelines, evaluation) Gemini models and GenAI APIs on Google Cloud Deep expertise in RAG, chunking strategies, retrieval optimization Graph RAG / Knowledge Graph–based reasoning architectures Advanced prompt engineering, prompt chaining, and orchestration Experience building autonomous and semi-autonomous agents with tool calling Good to Have Google Cloud certifications (Professional Google Machine Learning services / Cloud AI Engineer) BigQuery, GCS, Pub/Sub integration Enterprise data governance and AI safety frameworks Additional Information: 15–18+ years overall, with 5+ years in AI / GenAI 15 years full time education About Accenture Accenture is a leading global professional services company that helps the world’s leading businesses, governments and other organizations build their digital core, optimize their operations, accelerate revenue growth and enhance citizen services—creating tangible value at speed and scale. We are a talent- and innovation-led company with approximately 791,000 people serving clients in more than 120 countries. Technology is at the core of change today, and we are one of the world’s leaders in helping drive that change, with strong ecosystem relationships. We combine our strength in technology and leadership in cloud, data and AI with unmatched industry experience, functional expertise and global delivery capability. Our broad range of services, solutions and assets across Strategy & Consulting, Technology, Operations, Industry X and Song, together with our culture of shared success and commitment to creating 360° value, enable us to help our clients reinvent and build trusted, lasting relationships. We measure our success by the 360° value we create for our clients, each other, our shareholders, partners and communities. 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