Enterprise AI Architect - LLM & Gen AI Leader

Accenture PLC; Greater London; On-site; GBP 120,000 - 180,000; Full time

Job summary

Accenture PLC is seeking an AI Large Language Model (LLM) Technology Lead/Principal Architect to own the end-to-end architecture of advanced AI platforms. You will work with CIOs/CTOs and senior leaders to translate business goals into a coherent technical vision, ensuring enterprise-grade standards across AI initiatives.

You will lead multiple domain architects, set architectural direction, and govern artifacts like ADRs and reference architectures while shaping the AI strategy across client

Qualifications

• Extensive experience designing enterprise AI solutions using agentic, generative and classical AI/ML across cloud platforms.
• Proven track record in LLM and Generative AI space.
• Architecting and operationalizing LLM-driven application patterns.
• Deep experience in engineering, ML, DL and NLP solutions.
• Hands-on machine architecture experience in large-scale data & ML systems.

Responsibilities

• Shape enterprise AI strategy with CIOs/CTOs and business leaders.
• Lead assessments and build AI implementation roadmaps.
• Own end-to-end technical solutions for complex AI platforms.
• Translate architecture principles into concrete solutions built by domain teams.
• Lead workshops with client executives and engineering teams.
• Govern architectural artifacts and ensure cross-domain coherence across platforms.

Skills

AI architecture

LLM & GenAI

LLM runtime patterns

ML/NLP expertise

Big data architectures

Education

Bachelor's Degree

Job description

Accenture PLC is seeking an AI Large Language Model (LLM) Technology Lead/Principal Architect to own the end-to-end architecture of advanced AI platforms. You will work with CIOs/CTOs and senior leaders to translate business goals into a coherent technical vision, ensuring enterprise-grade standards across AI initiatives.

You will lead multiple domain architects, set architectural direction, and govern artifacts like ADRs and reference architectures while shaping the AI strategy across client