Responsibilities
- Partner with CIOs, CTOs, and business leaders to shape enterprise AI strategy and implementation roadmaps.
- Own end-to-end technical architecture for complex AI platforms spanning agentic, generative, and classical AI/ML systems.
- Lead and integrate domain architects and specialists across agent applications, security, operations, data, knowledge engineering, model platforms, and inference.
- Define architecture for multi-agent orchestration, registries, gateways, memory, foundation models, fine-tuning, inference routing, and classical ML deployment.
- Architect enterprise context layers using knowledge graphs, ontologies, vector search, semantic retrieval, prompt context, and conversational memory.
- Establish security, identity, authorization, guardrail, governance, observability, performance, scalability, and FinOps standards.
- Build prototypes and proofs of concept, assess technologies, and make evidence-based recommendations on frameworks and platforms.
- Govern architecture artifacts including blueprints, ADRs, reference architectures, diagrams, and integration specifications.
- Develop reusable AI architecture assets and represent the practice through thought leadership, publications, conferences, and client advisory engagements.
Requirements
- Bachelor’s degree or equivalent.
- Extensive experience designing and deploying enterprise-grade advanced AI solutions using agentic, generative, and classical AI/ML with at least one cloud vendor.
- Proven experience in LLM and generative AI technologies.
- Strong experience architecting and operationalizing LLM-driven application architecture patterns.
- Deep experience engineering machine learning, deep learning, and NLP solutions and applications.
- Several years of hands-on industry experience as a machine architect designing big data, machine learning, and large-scale analytical engineering solutions.
Categories
About Accenture
Accenture helps the world’s leading enterprises reinvent by building their digital core and unleashing the power of AI to create value at speed for organizations across industries. Our strategy is to be the reinvention partner of choice for our clients and lead in the safe, widespread adoption of AI, and to be the most client-focused, AI-enabled, great place to work in the world. We bring together the talent of our approximately 786,000 people with proprietary assets and platforms, deep process and industry expertise, and leading ecosystem relationships to deliver end-to-end solutions and measurable outcomes at scale. Through our Reinvention Services, we offer broad expertise across Cybersecurity, Digital Core, Finance, Industry and Enterprise, Song, Supply Chain and Engineering, and Talent, with advanced capabilities in AI and Data, Industry and Process, and Technology. We serve approximately 9,000 clients and generated approximately $70 billion in FY25 revenue. Visit us at accenture.com. This LinkedIn company page is moderated. When engaging with Accenture, we encourage everyone to: - Use common courtesy and be respectful of others. - Create your own original content and avoid content that you know to be fraudulent. - Never repost someone else's copyrighted work, unless you have permission. - Never post personal, identifying, or confidential information. We reserve the right to delete comments or posts we deem to be: - Profane, obscene, inappropriate, offensive, abusive material. - Spam, repeated comments and commercial messages and personal advertisements. - Discriminatory or that contain hateful speech of any kind regarding age, gender, race, religion, nationality, sexual orientation, gender identity or disability. - Threats; personal attacks; abusive, defamatory, derogatory, or inflammatory language; or stalking or harassment of any individual, entity or organization. - False, inaccurate, libelous, or otherwise misleading in any way.