Advanced AI Architect
at Accenture
Posted 6 days ago
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An Advanced AI Architect at Accenture will design and deliver full-stack AI architectures for AI platforms, products, or engagements across cloud environments, ensuring scalability, security, governance, and performance aligned with client needs. You will work with AI Agents, Generative AI, Foundation Models, and knowledge/data engineering to create cutting-edge proofs-of-concept and pilots that demonstrate AI capabilities for enterprise readiness. This high-impact role shapes the future of AI systems in the enterprise and delivers unprecedented business value, including strategy, design, security, governance, and observability of AI solutions, with travel as needed.
We Are
We are entering a transformative era where Data & AI are reshaping industries, work, and society. Accenture is leading this evolution with a bold vision and a $3B investment in Data & AI. Our global team of 45,000+ AI professionals is driving innovation at scale—powered by deep expertise, strategic partnerships, and a commitment to delivering industry-defining solutions.
You Are:
As an Advanced AI Architect, you will be responsible for designing and delivering full stack AI architecture for an AI platform, AI product, or AI engagement on public, private or sovereign clouds. You’ll architect enterprise grade AI platforms and solutions for scalability, security, governance and performance that meet our client’s business needs. In that role you will be using the latest innovations in AI Agents, Generative AI, Foundation Models, Knowledge & Data Engineering. You will be designing and implementing cutting edge proof-of-concepts and pilots to demonstrate the capabilities of AI technologies to solve complex business problems and for enterprise readiness. This is a high-impact role where your contributions will shape the future of AI systems in the enterprise to deliver unprecedented business value.
The Work
Strategy & Planning
Lead AI architecture & technical design workshops with client and Accenture teams
Collaborate with client teams to finalize architectural requirements for AI solutions.
Evaluate, rationalize and select technologies required for putting together the full stack of an AI platform or AI system
Estimate design alternatives, effort, timeline, roadmap for deploying AI solutions.
Develop TCO models and assess financial viability of AI platforms and solutions.
Architecture & Design
Design and document architectural alternatives, technology choices and recommendations
Identify, define, facilitate alignment of key architectural decisions required for AI solutions
Design and document multi-agent architecture blueprints, AI security architecture blueprints, AI runtime architecture blueprints, AI governance solution blueprints, AI DevOps architecture blueprints, AI infrastructure architecture blueprints, multi-agent solution blueprints, knowledge and data layer blueprints.
Design the knowledge architecture consisting of knowledge graphs, semantic layers for enabling AI Agents.
Incorporate AI Security in platforms and solutions.
Design and document solutions for AI security, governance, observability.
Design and document AgentOps and LLMOps solutions.
Recommend design optimizations and improvements for performance, cost, reliability, trust.
Implementation
Implement AgentOps/LLMOps, AI Governance, AI Security, AI Observability solutions
Design/Build reusable AI components, AI agents and solution patterns for Advanced AI systems and platforms.
Troubleshoot, Analyze and optimize performance of AI systems, AI agents and platforms
Travel may be required for this role. The amount of travel will vary from 0 to 100% depending on business need and client requirements.
