LLM AI Architect

Accenture is a leading solutions and services company that helps the world’s leading enterprises reinvent by building their digital core and unleashing the power of AI to create value at speed across the enterprise, bringing together the talent of our approximately 786,000 people, our proprietary assets and platforms, and deep ecosystem relationships. Our strategy is to be the reinvention partner of choice for our clients and to be the most client-focused, AI-enabled, great place to work in the world. Through our Reinvention Services we bring together our capabilities across strategy, consulting, technology, operations, Song and Industry X with our deep industry expertise to create and deliver solutions and services for our clients. Our purpose is to deliver on the promise of technology and human ingenuity, and we measure our success by the 360° value we create for all our stakeholders. Visit us at accenture.com.

We are looking for an experienced LLM AI Architect to join a high-impact team shaping the future of enterprise AI and knowledge-driven solutions.

In this role, you will provide technical leadership across multidisciplinary teams and design scalable, secure, and enterprise-ready AI architectures. You will work at the intersection of Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), Knowledge Graphs, Ontologies, Semantic Technologies, and AI & Data Architecture, helping organizations transform complex information into intelligent and actionable solutions.

You will collaborate closely with stakeholders, architects, engineers, and data scientists to define best practices, influence key architectural decisions, accelerate AI adoption, and build innovative knowledge-driven AI capabilities.

Key Responsibilities:

• Design, develop, and evolve enterprise-scale AI and Knowledge Engineering architectures, frameworks, and technical standards.
• Define reference architectures and implementation patterns for LLMs, RAG, Knowledge Graphs, semantic technologies, and knowledge-centric solutions.
• Design reusable architectural components that enable semantic reasoning, intelligent search, knowledge retrieval, and Generative AI applications.
• Architect scalable foundations for secure, governed, reliable, and enterprise-ready AI solutions.
• Develop strategic roadmaps for the adoption and operationalization of AI platforms, knowledge graphs, semantic layers, and enterprise knowledge ecosystems.
• Evaluate emerging AI technologies, platforms, and architectural approaches and recommend solutions aligned with business and technology objectives.
• Integrate capabilities across data platforms, machine learning, Generative AI, cloud infrastructure, security, governance, and operations.
• Optimize AI platforms and infrastructure for scalability, performance, observability, reliability, and cost efficiency.
• Establish and promote governance frameworks covering Responsible AI, data governance, security controls, and compliance.
• Lead architecture reviews, technical workshops, and stakeholder discussions to align teams around strategic and technical direction.
• Mentor engineering, data, and architecture teams while contributing to broader technology strategy and innovation initiatives.

Required Qualifications

• Advanced expertise in AI Knowledge Engineering and AI Solution Architecture.
• Bachelor's degree in Computer Science, Information Systems, Engineering, or a related field.
• Proven experience designing and implementing enterprise-scale AI, data, and knowledge management solutions.
• Hands-on architectural experience with Large Language Models (LLMs) and Generative AI solutions.
• Strong understanding of enterprise architecture principles, scalability, security, governance, and operationalization.
• Excellent communication, technical leadership, and stakeholder management skills.
• Ability to translate complex technical concepts into clear architectural recommendations and business outcomes.

Preferred Qualifications

• Deep expertise in Knowledge Graphs and semantic technologies.
• Advanced experience in Ontology Design and Development.
• Strong experience designing Retrieval-Augmented Generation (RAG) architectures.
• Expertise in AI & Data Solution Architecture and enterprise Solution Architecture.
• Experience designing solutions involving LLMs, Knowledge Graphs, Semantic Search, and enterprise knowledge systems.
• Strong understanding of AI Governance, Responsible AI, and enterprise AI adoption frameworks.
• Experience defining AI architecture standards, reusable components, and implementation patterns.
• Experience developing AI technology strategies and adoption roadmaps.

What we offer:

• Health and Life Insurance
• Accenture days, 3 additional vacation days
• On site doctor
• Birthday leave
• Internet reimbursement

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 atwww.accenture.com

Equal Employment Opportunity Statement

We believe that no one should be discriminated against because of their differences. All employment decisions shall be made without regard to age, race, creed, color, religion, sex, national origin, ancestry, disability status, militaryveteran status, sexual orientation, gender identity or expression, genetic information, marital status, citizenship status or any other basis as protected by applicablelaw. Our rich diversity makes us more innovative, more competitive, and more creative, which helps us better serve our clients and our communities.