Enterprise AI Architecture Manager​/Senior Manager

Position: Enterprise AI Architecture Manager / Senior Manager
About Accenture:

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. Our strategy is to be the reinvention partner of choice for our clients and lead in the safe, widespread adoption of AI, and to be the most client-focused, AI-enabled, great place to work in the world.

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 ough 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. Visit us at  Are:

Accenture is recognized as a global leader in AI and cloud transformation, helping businesses across industries reimagine the digital core for an AI-native operating model. Through partnerships with frontier AI labs such as Anthropic and OpenAI, and the leading cloud providers, Accenture delivers end-to-end services that drive innovation and business agility.

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.

You Are:

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.

The Work:

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 1–2 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…