Large Language Model Architect
Project Role : Large Language Model Architect
Project Role Description : Architect large language models (LLM) that can process and generate natural language. Design neural network parameters, trained on large quantities of unlabeled text data.
Must have skills : Machine Learning (ML)
Good to have skills : NA
Minimum 18 year(s) of experience is required
Educational Qualification : 15 years full time education
Summary:-
The Lead Architect is the senior-most technical authority on Accenture's internal Agentic AI Platform — the SDK and runtime layer that sits above the enterprise tool stack and below every AI agent the company builds. This is not an advisory role. You will define and own the design contracts across context and ontology management, agent lifecycle, and governed tool integration, and you will hold those boundaries against pressure from IT, business stakeholders, and the platform's own engineering pods. Your decisions will be load-bearing for years.
Roles & Responsibilities:-
Own the end-to-end technical architecture of the platform SDK — context management, agent lifecycle, tool registry, and their integration contracts
Set and enforce design standards across six engineering pods building in parallel under two Engineering Managers
Make technology selection decisions for the orchestration framework, knowledge graph backend, and LLM runtime — with full awareness of the enterprise procurement and IT landscape
Define the ontology schema governance model and arbitrate cross-domain schema conflicts with Finance, Legal, Procurement, and HR
Lead the technical relationship with Jason (enterprise architect, CIO team) — the most critical external technical dependency for the platform
Translate CISO and compliance requirements into implementable platform specifications for the Security and Governance pod
Review and approve all cross-pod architecture decisions own the platform's technical debt register
IDEAL PROFILE :-
Has been the principal technical decision-maker on at least one platform or developer infrastructure product that other engineers built on top of — not a contributor, the owner
Transitioned into AI and LLM systems engineering early enough to carry real production experience, not credentials 3–5 years of hands-on LLM systems work minimum
Came up through distributed systems, data infrastructure, or enterprise architecture — the kind of background that produces strong opinions about reliability, API design, and failure modes
Comfortable in large enterprise organizations: understands that architecture decisions are also organizational decisions, and has navigated IT, security, and business stakeholder dynamics before
Does not need the architect title to hold authority — can hold a technical boundary through reasoning, not hierarchy
Additional Information:
A principal engineer who has built excellent systems as a senior IC but has not owned a platform others depended on. A solutions architect whose primary skill is diagramming rather than engineering. Anyone whose LLM experience is exclusively research or POC rather than production systems.15 years full time education
Project Role Description : Architect large language models (LLM) that can process and generate natural language. Design neural network parameters, trained on large quantities of unlabeled text data.
Must have skills : Machine Learning (ML)
Good to have skills : NA
Minimum 18 year(s) of experience is required
Educational Qualification : 15 years full time education
Summary:-
The Lead Architect is the senior-most technical authority on Accenture's internal Agentic AI Platform — the SDK and runtime layer that sits above the enterprise tool stack and below every AI agent the company builds. This is not an advisory role. You will define and own the design contracts across context and ontology management, agent lifecycle, and governed tool integration, and you will hold those boundaries against pressure from IT, business stakeholders, and the platform's own engineering pods. Your decisions will be load-bearing for years.
Roles & Responsibilities:-
Own the end-to-end technical architecture of the platform SDK — context management, agent lifecycle, tool registry, and their integration contracts
Set and enforce design standards across six engineering pods building in parallel under two Engineering Managers
Make technology selection decisions for the orchestration framework, knowledge graph backend, and LLM runtime — with full awareness of the enterprise procurement and IT landscape
Define the ontology schema governance model and arbitrate cross-domain schema conflicts with Finance, Legal, Procurement, and HR
Lead the technical relationship with Jason (enterprise architect, CIO team) — the most critical external technical dependency for the platform
Translate CISO and compliance requirements into implementable platform specifications for the Security and Governance pod
Review and approve all cross-pod architecture decisions own the platform's technical debt register
IDEAL PROFILE :-
Has been the principal technical decision-maker on at least one platform or developer infrastructure product that other engineers built on top of — not a contributor, the owner
Transitioned into AI and LLM systems engineering early enough to carry real production experience, not credentials 3–5 years of hands-on LLM systems work minimum
Came up through distributed systems, data infrastructure, or enterprise architecture — the kind of background that produces strong opinions about reliability, API design, and failure modes
Comfortable in large enterprise organizations: understands that architecture decisions are also organizational decisions, and has navigated IT, security, and business stakeholder dynamics before
Does not need the architect title to hold authority — can hold a technical boundary through reasoning, not hierarchy
Additional Information:
A principal engineer who has built excellent systems as a senior IC but has not owned a platform others depended on. A solutions architect whose primary skill is diagramming rather than engineering. Anyone whose LLM experience is exclusively research or POC rather than production systems.15 years full time education
About Accenture
Accenture is a leading global professional services company that helps the world’s leading businesses, governments and other organizations build their digital core, optimize their operations, accelerate revenue growth and enhance citizen services—creating tangible value at speed and scale. We are a talent- and innovation-led company with approximately 791,000 people serving clients in more than 120 countries. Technology is at the core of change today, and we are one of the world’s leaders in helping drive that change, with strong ecosystem relationships. We combine our strength in technology and leadership in cloud, data and AI with unmatched industry experience, functional expertise and global delivery capability. Our broad range of services, solutions and assets across Strategy & Consulting, Technology, Operations, Industry X and Song, together with our culture of shared success and commitment to creating 360° value, enable us to help our clients reinvent and build trusted, lasting relationships. We measure our success by the 360° value we create for our clients, each other, our shareholders, partners and communities.Visit us at www.accenture.com
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