Engineering Manager​/Senior Manager

Position: Knowledge Engineering Manager / Senior Manager
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 814,000 people with proprietary assets and platforms, deep process and industry expertise, and leading ecosystem relationships to deliver end-to-end solutions and measurable outcomes ough 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 $74 billion in FY26 revenue. Visit us at  Are:

Accenture is recognized as a global leader in AI and cloud transformation, helping businesses across industries reimagine the digital core for an AI-native operating model. Through partnerships with frontier AI labs such as Anthropic and OpenAI, and the leading cloud providers, Accenture delivers end-to-end services that drive innovation and business agility.

The Digital Core Reinvention practice builds the knowledge structures that make AI answers reliable. Our distinctive angle: scalpel-precision ontologies co-evolved with specific client builds — knowledge layers scoped to the business problem, engineered so agents can look up and reason over trusted enterprise meaning.

You Are:

An engineer who believes agents need meaning, not just data — fluent across the knowledge-graph lifecycle and most at home when an ontology is shaped against a real business problem rather than modeled in the abstract.

You belong here even if you haven't spent years in AI. Much of what makes a great practitioner in this work was learned somewhere adjacent — strong credentials in the neighboring discipline plus a year or two of serious hands-on work with LLM-based systems is exactly the profile we grow.

The Work:

At the Manager grade you lead the ontology work on a single engagement: schema and taxonomy design, knowledge-graph construction, retrieval-augmented generation over the resulting corpus, and the agent context engineering that makes the knowledge consumable (all four are named skills on this family's W16 matrix).At the Senior Manager grade you hold authority across engagements and shape the method. We assess that fit at interview, not s is a joint posting covering Manager (CL7) and Senior Manager (CL6) grades, with Accenture's one-level lift at the firm's discretion.

Travel may be required for this role. The amount of travel will vary from 0 to 100% depending on business need and client requirements.

Here's what you need:

Minimum of 5 years of hands-on experience in knowledge engineering, semantic web, ontology design, or taxonomy/data modeling, with at least 1–2 years specifically on AI/LLM-based work.

Minimum 3 years of hands-on experience with knowledge graph technologies, including RDF, SPARQL, property graphs, and/or SHACL, and graph databases such as Neo4j, Amazon Neptune, or equivalent.

AI-adjacent experience counts toward the bars above: strong credentials in the neighboring discipline combined with 1–2 years of hands-on LLM work is exactly the profile we grow.

Minimum of 1 year of experience with retrieval-augmented generation and agent context engineering in production or near-production contexts.

Minimum of 2 years leading a team or workstream within a larger program.

Minimum of 5 years of experience working in agile…