You Are:A knowledge engineer with an industry lean - you want your ontologies to encode how a real vertical works, and you're happiest when the graph disagrees with the org chart and turns out to be right.
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 industry digital-brain delivery on a client engagement: discovery and baseline of industry-specific patterns, ontology design and build (Knowledge Graph and Data Taxonomy, in skill terms), and the lifecycle management that keeps an industry engine current.
At the Senior Manager grade you hold authority across engagements in the vertical. We assess that fit at interview, not at requisition.
This 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 in knowledge engineering, data modeling, or industry data work, with at least 1-2 years specifically on AI/LLM-based work.
- Minimum of 2 years of domain experience in insurance, communications & media, or retail - at an operator, an analyst firm, or a consulting practice serving the industry.
- Working fluency with knowledge-graph technologies and retrieval-augmented generation.
- Minimum of 2 years leading a team or workstream within a larger program.
- Minimum of 4 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).
Professional Skills:- 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.
Bonus Points If You Have:- Agent context engineering over industry corpora.
- Experience with regulatory or compliance-driven modeling.
- Graph-based ML alongside symbolic modeling.
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 $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
