Enterprise AI Architecture Manager / Senior Manager

Accenture Architect Accenture helps the world's leading enterprises reinvent by building their digital core and unleashing the power of AI to create value at speed for organizations across industries. We bring together the talent of our approximately 814,000 people with proprietary assets and platforms, deep process and industry expertise, and leading ecosystem relationships to deliver end-to-end solutions and measurable outcomes at scale. Through our Reinvention Services, we offer broad expertise across Cybersecurity, Digital Core, Finance, Industry and Enterprise, Song, Supply Chain and Engineering, and Talent, with advanced capabilities in AI and Data, Industry and Process, and Technology. We serve approximately 9,000 clients and generated approximately $74 billion in FY26 revenue. The Digital Core Reinvention practice focuses on the architecture and engineering work required to make AI a first-class participant in the enterprise core not a layer beside it. As we build out our US Architect bench, we are hiring senior architecture leaders who can own the technical shape of the offering and set the bar for what credible AI-native transformation looks like in market. An architect who wants to solve some of the hardest problems in enterprise AI designing multi-agent systems that actually work, and transforming established estates without breaking what already runs the business. You carry the technical narrative into the client's CTO office without losing it on the way. You belong here even if you haven't spent years in AI. Much of what makes a great practitioner in this work was learned somewhere adjacent strong credentials in the neighboring discipline plus a year or two of serious hands-on work with LLM-based systems is exactly the profile we grow. At the Manager grade you own the architecture for a single engagement: design authority on the AI-native foundation, primary technical contact for the client's architecture group, leading the engineering team that builds it. Depending on previous skills/experience and as you progress within Accenture you hold design authority across a portfolio of engagements and help shape the methodology the reference patterns (Agent Framework Design, Multi-Model Orchestration, AI Guardrail Design, in skill terms), what gets productized, and how the team's architectural point of view evolves as the frontier moves. Travel may be required for this role. The amount of travel will vary from 0 to 100% depending on business need and client requirements. Here's what you need: Minimum of 5 years of hands-on experience building enterprise systems, with at least 12 years working with AI/LLM systems in production or production-like contexts. Minimum of 2 years designing AI-native or AI-adjacent architectures event-driven, distributed, or data-intensive systems count. Minimum of 3 years leading an engineering team, including at least 1 year managing the unique challenges of AI development. Minimum of 1 year translating between AI capabilities and business value for executive audiences. Minimum of 4 years of experience working in agile engineering or consulting teams. AI-adjacent experience counts toward the bars above: strong credentials in the neighboring discipline combined with 12 years of hands-on LLM work is exactly the profile we grow. Bachelor's degree or equivalent (minimum 12 years) work experience. (If Associate's Degree, must have minimum 6 years work experience).