10+ years in knowledge engineering, semantic web, or ontology design, with 2+ years in AI/LLM-based work.
6+ years with knowledge-graph technologies (RDF, SPARQL, SHACL) and enterprise graph databases.
6+ years of managerial or discipline-leadership experience, able to communicate value to senior stakeholders.
2+ years of public speaking or publishing in the discipline.
3+ years owning a productized offering or methodology, not just consulting.
Bachelor's degree or equivalent work experience (12+ years).
Responsibilities
Own the methodology for scaled ontology creation and semantic-layer design.
Manage the asset portfolio, including ontology templates and semantic serving architectures.
Articulate the technical point of view on the semantic layer to diverse stakeholders.
Defend and evolve knowledge-agent patterns and their application across engagements.
Lead discussions on the value of engineered meaning in AI contexts.
Benefits
Medical, dental, and vision coverage.
Life and long-term disability insurance.
401(k) plan with company match.
Bonus opportunities.
Paid holidays and time off.
Full Job Description
The Digital Core Reinvention practice builds the enterprise ontology - the semantic layer that turns raw data into contextualized enterprise knowledge, and the knowledge agents that maintain, evolve, and query it. Where our problem-scoped ontology work wields meaning against a single problem, this discipline builds the meaning the whole enterprise stands on.
You Are:
A senior knowledge engineer ready to own the discipline: scaled ontology creation, the semantic layer, and the public technical argument for why AI without engineered meaning is guesswork.
This is the senior technical track at Accenture: we hire people here who would rather own a methodology than carry a number.
The Work:
As an Associate Director in this family you are the technical owner of our enterprise knowledge engineering services. Concretely, that means three things at once: You own the methodology.
Scaled ontology creation, semantic-layer design, knowledge-agent patterns - yours to defend, evolve, and sign off on, including the boundary with problem-scoped ontology work (build the ontology here; wield it there).
You own the asset portfolio.
Ontology templates, entity-resolution patterns, semantic serving reference architectures - every engagement consumes or produces one.
You own the technical point of view.
You can explain the value of the semantic layer to a CFO and defend an OWL modeling decision to an architect in the same meeting - and the market hears the argument from you.
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 10 years in knowledge engineering, semantic web, ontology design, or adjacent data disciplines, with at least 2 years specifically on AI/LLM-based work.
Minimum of 6 years with knowledge-graph technologies (RDF, SPARQL, SHACL, property graphs) and enterprise graph databases.
Minimum of 6 years of managerial or discipline-leadership experience, able to explain the value of the semantic layer to senior stakeholders (per the W16 scaffold for this family).
Minimum of 2 years of publishing or speaking publicly in the discipline.
Minimum of 3 years owning a productized offering, platform, or methodology - not just consulting within one.
Bachelor's degree or equivalent (minimum 12 years) work experience. (If Associate's Degree, must have minimum 6 years work experience).
Professional Skills Required:
Demonstrated ability to walk into a client executive's office and earn the room on technical depth alone.
A clear, defensible point of view on the current AI frontier - what's real, what's hype, what matters in 18 months - that you can articulate publicly.
Bonus Points if You Have:
Retrieval-augmented generation and agent context engineering at enterprise scale.
Experience running ontology governance - versioning meaning the way engineers version code.
Multi-tenant or federated semantic-layer architectures.
Comfort being outranked on pipeline conversations and outvoting on technical ones.
A track record of editing methodology the way engineers edit code.
Frontier-partner relationships (Anthropic, OpenAI, hyperscaler AI orgs, or equivalent).
Compensation at Accenture varies depending on a wide array of factors, which may include but are not limited to the specific office location, role, skill set, and level of experience. As required by local law, Accenture provides a reasonable range of compensation for roles that may be hired as set forth below. We anticipate this job posting will be posted until 12/04/2026.
Accenture offers a market competitive suite of benefits including medical, dental, vision, life, and long-term disability coverage, a 401(k) plan, bonus opportunities, paid holidays, and paid time off. See more information on our benefits here:
U.S. Employee Benefits | Accenture
Role Location Annual Salary Range California $163,000 to $434,000 Colorado $163,000 to $375,000 Connecticut $163,000 to $375,000 District of Columbia $173,500 to $399,300 Illinois $150,900 to $375,000 Maine $138,800 to $319,400 Maryland $163,000 to $375,000 Massachusetts $163,000 to $399,300 Minnesota $163,000 to $375,000 New York $150,900 to $434,000 New Jersey $173,500 to $434,000 Ohio $150,900 to $347,200 Virginia $150,900 to $399,300 Washington $173,500 to $399,300
About Accenture
Accenture plc is a multinational professional services company that provides services in strategy, consulting, digital, technology, and operations. The company has more than 537,000 employees serving clients in more than 120 countries. Accenture operates across five business segments: Communications, Media & Technology; Financial Services; Health & Public Service; Products; and Resources. The company is headquartered in Dublin, Ireland, and has offices worldwide.
