Enterprise AI Architecture Director

Accenture•St. Louis, MO

2d•$112,900 - $338,300

About The Position

Accenture is hiring a senior architecture leader for its Digital Core Reinvention practice to own the technical shape of its AI-native architecture offering. The role focuses on making AI a first-class participant in the enterprise core and setting the standard for credible AI-native transformation. The position is on the senior technical track, emphasizing methodology and technical authority rather than sales quota ownership. The role owns and evolves the end-to-end delivery methodology for AI-native architecture, including the design of boundaries between AI-controlled and deterministic processes. It also establishes the technical point of view through public talks, client architecture councils, and frontier-partner relationships, and oversees a portfolio of reference architectures, agent framework patterns, multi-model orchestration blueprints, and evaluation harnesses. Engagements should use or produce major assets. Travel may be required and can range from 0% to 100%, depending on business and client needs.

Requirements

At least 8 years of enterprise technology delivery experience, with meaningful experience in at least two of: large-scale data engineering, AI/ML platforms, enterprise architecture, or software engineering leadership.
At least 2 years designing and delivering production AI-native architectures at enterprise scale, including at least one transformation where the candidate was the named architecture lead.
At least 5 years owning a productized offering, platform, or methodology.
Bachelor's degree or equivalent, including a minimum of 12 years of work experience; alternatively, an associate's degree with a minimum of 6 years of work experience.
A clear, defensible, publicly articulable point of view on the current AI frontier, including what is real, what is hype, and what matters in 18 months.
Working command of AI Architecture, AI Guardrail Design, Multi-Model Orchestration, and Agent Framework Design.
Ability to translate hands-on architecture arguments into clear commercial narratives and back again.
Ability to establish credibility with client executives through technical depth alone.

Nice To Haves

Experience designing multi-agent systems and orchestration patterns between distinct agent roles.
Experience with event-driven architectures and streaming technologies for real-time AI feedback loops.
Experience analyzing existing systems through systematic dependency analysis and architectural discovery before modification.
Comfort being outranked on pipeline conversations and outvoting on technical ones.
A track record of editing methodology the way engineers edit code.
Relationships with frontier partners such as Anthropic, OpenAI, hyperscaler AI organizations, or equivalent.

Responsibilities

Own, defend, evolve, and approve the end-to-end delivery methodology for AI-native architecture work, including AI guardrail design.
Set and communicate the technical point of view on credible AI transformation through conference talks, client architecture councils, and frontier-partner relationships.
Own the asset portfolio, including reference architectures, agent framework patterns, multi-model orchestration blueprints, and evaluation harnesses.
Ensure major engagements consume an existing asset or produce one.
Serve as the technical authority on consequential engagements and contribute technical depth to client and commercial conversations.