Knowledge Engineering Manager / Senior Manager

Accenture PLC; Charlotte (NC); On-site; USD 120,000 - 210,000; Full time

Benefits offered by this job

Medical insurance

Dental insurance

Vision insurance

Life insurance

Long-term disability coverage

401(k) plan

Bonus opportunities

Paid holidays

Paid time off

Job summary

Accenture is seeking an experienced knowledge engineer to lead ontology work, schema and taxonomy design, and building knowledge graphs for AI-enabled solutions. You will drive retrieval-augmented generation and context engineering to make knowledge actionable within client projects.

The role requires leadership within agile engineering or consulting teams, and involves collaboration across AI/LLM initiatives with a strong emphasis on scalable graph technology and semantic modeling.

Qualifications

• Minimum of 5 years of hands-on knowledge engineering, semantic web, ontology design, or taxonomy/data modeling, with 1–2 years on AI/LLM work.
• Minimum 3 years of hands-on knowledge graph technologies, including RDF, SPARQL, property graphs, and graph databases such as Neo4j, Amazon Neptune, or equivalent.
• AI-adjacent experience with 1–2 years of hands-on LLM work is ideal.
• Minimum 1 year of experience with retrieval-augmented generation and agent context engineering in production contexts.
• Minimum 2 years leading a team or workstream within a larger program.
• Minimum of 5 years of experience in agile engineering or consulting teams.
• Bachelor's degree or equivalent (minimum 12 years) work experience.

Responsibilities

• Lead ontology work: schema and taxonomy design.
• Construct knowledge graphs and enable retrieval-augmented generation over the corpus.
• Engineer agent context so knowledge is consumable by AI systems.

Skills

Knowledge engineering

Semantic web

Ontology design

Taxonomy data modeling

AI LLM

Knowledge graph

RDF

SPARQL

Graph databases

Neo4j

Amazon Neptune

Retrieval augmented generation

Leadership

Agile

Education

Bachelor's degree or equivalent

Tools

Neo4j

Amazon Neptune

SHACL

Job description

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 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 $74 billion in FY26 revenue. Visit us at accenture.com.

We 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.

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.

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 at requisition.

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 engineering or consulting teams.
• Bachelor's degree or equivalent (minimum 12 years) work experience. (If Associate's Degree, must have minimum 6 years work experience).

Bonus Points If You Have

• Entity-resolution experience at enterprise scale.
• Experience co‑designing ontologies with engineering teams mid‑build rather than delivering them as documents.
• Vector-store fluency (Qdrant, Pinecone, or equivalent) alongside the graph stack.

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

• California $94,400 to $293,800
• Colorado $94,400 to $253,800
• Connecticut $94,400 to $253,800
• District of Columbia $100,500 to $270,300
• Illinois $87,400 to $253,800
• Maine $80,400 to $216,200
• Maryland $94,400 to $253,800
• Massachusetts $94,400 to $270,300
• Minnesota $94,400 to $253,800
• New York $87,400 to $293,800
• New Jersey $100,500 to $293,800
• Ohio $87,400 to $235,000
• Virginia $87,400 to $270,300
• Washington $100,500 to $270,300

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