Enterprise AI Architecture Manager / Senior Manager

Accenture•St. Louis, MO

9d•$80,400 - $293,800

About The Position

Accenture’s Digital Core Reinvention practice is hiring senior architecture leaders for its US Architect bench to shape AI-native enterprise transformation. The role focuses on making AI a first-class participant in the enterprise core, designing multi-agent systems, and transforming established technology estates while maintaining business-critical operations. Candidates may come from adjacent disciplines if they bring strong credentials and one or two years of serious hands-on experience with LLM-based systems. At the Manager grade, the position owns architecture for a single engagement, serves as design authority for its AI-native foundation and primary technical contact for the client’s architecture group, and leads the engineering team building the solution. As experience and level progress, the role may hold design authority across a portfolio of engagements and help shape the methodology, reference patterns, productization priorities, and the team’s architectural point of view. The role carries the technical narrative into client CTO offices and translates AI capabilities into business value for executive audiences. Travel may be required, ranging from 0 to 100% depending on business needs and client requirements. The anticipated posting end date is December 4, 2026. Salary ranges vary by listed US location, from $80,400 to $293,800 annually.

Requirements

At least 5 years of hands-on experience building enterprise systems, including at least 1–2 years working with AI/LLM systems in production or production-like contexts.
At least 2 years designing AI-native or AI-adjacent architectures; event-driven, distributed, or data-intensive systems count.
At least 3 years leading an engineering team, including at least 1 year managing the unique challenges of AI development.
At least 1 year translating between AI capabilities and business value for executive audiences.
At least 4 years working in agile engineering or consulting teams.
Bachelor’s degree or equivalent, with a minimum of 12 years of work experience; alternatively, an associate’s degree requires at least 6 years of work experience.
US work authorization that does not now or in the future require visa sponsorship.

Nice To Haves

Experience with deliberate design of AI-to-deterministic boundaries.
Fluency in vector, graph, and event-streaming technologies across architecture.
Exposure to production AI operations, with designs accounting for the people who will run the systems.

Responsibilities

Own architecture and design authority for an engagement’s AI-native foundation.
Serve as the primary technical contact for the client’s architecture group.
Lead the engineering team that builds the architecture.
Carry the technical narrative into the client’s CTO office.
Translate AI capabilities into business value for executive audiences.
As the role progresses, hold design authority across a portfolio of engagements.
Help shape the team’s methodology and reference patterns, including agent framework design, multi-model orchestration, and AI guardrail design.
Help determine what architectural capabilities should be productized and evolve the team’s architectural point of view as the AI frontier advances.
Design systems that integrate AI while preserving the operation of established business-critical systems.