AI-Native Enterprise Architecture Leader

Accenture PLC; City of Albany (NY); On-site; USD 87,000 - 294,000; Full time

Job summary

Accenture in New York seeks an accomplished AI architecture leader to own the architecture for AI-native engagements, design authority for the foundation, and the primary technical contact for the client’s architecture group. You will lead the engineering team building the solution and drive the technical vision.

As you progress, you’ll shape methodology, define reference patterns such as Agent Framework Design and AI Guardrail Design, and evolve the architectural point of view as AI frontiers

Qualifications

• 5+ years hands-on experience building enterprise systems with 1–2 years with AI/LLM in production
• 2+ years designing AI-native or AI-adjacent architectures — event-driven, distributed, or data-intensive
• 3+ years leading an engineering team, including AI development challenges
• 1+ year translating AI capabilities to business value for executives
• 4+ years in agile engineering or consulting teams
• AI-adjacent credentials with 1–2 years of hands-on LLM work are valued
• Bachelor’s degree or equivalent (minimum 12 years) of work experience

Responsibilities

• Own the architecture for a single engagement as design authority for the AI-native foundation
• Act as primary technical contact for the client’s architecture group and lead the engineering team
• Shape the methodology and reference patterns as your role progresses across engagements
• Travel may be required depending on business needs and client requirements

Skills

AI/LLM architectures

Enterprise systems

Team leadership

Agile experience

AI business value translation

Willingness to travel

Education

Bachelor's degree or equivalent (minimum 12 years)

Job description

Accenture in New York seeks an accomplished AI architecture leader to own the architecture for AI-native engagements, design authority for the foundation, and the primary technical contact for the client’s architecture group. You will lead the engineering team building the solution and drive the technical vision.

As you progress, you’ll shape methodology, define reference patterns such as Agent Framework Design and AI Guardrail Design, and evolve the architectural point of view as AI frontiers