We Are:
Accenture is helping companies use generative AI and semantic layer to reinvent their enterprise and optimize business functions for breakthrough innovation and competitive advantage. With over 1,600 professionals dedicated to generative AI, leveraging the depth and experience of more than 40,000 AI and data professionals across the company our Advanced Data & AI team brings together our Experienced Innovation, Strategic Investment, Exceptional Talent, and Power Ecosystem.
You Are:
As a Knowledge Engineer, you formulate real-world problems into practical, efficient, and scalable AI and Knowledge Graph problems.
You lead a team and provide guidance to explore and implement new methodologies, model building techniques, and cutting-edge algorithms, and applying these techniques with the right architecture to solve real-world problems.
You have a deep understanding and ability to remain at the forefront of knowledge engineering, generative AI, LLM, and multi-modal models (with a focus on driving innovation by applying these techniques to new business problems, use cases, and scenarios).
As needed by the specific problem, you design, evaluate, and maintain ontologies.
As a significant part of this role, you will be justifying the value of innovative generative AI and knowledge graph approaches in the business problems, and you'll be expected to construct methodologies and data architectures that clearly demonstrate their value.
You'll also work collaboratively with teams from both the business and technical side, including users, use case representatives, business owners, engineers, architects, and UI designers, to achieve end-to-end project development goals.
The Work:
Build Knowledge Graph solutions that transform clients' data architecture.
Design, develop, and implement AI and semantic solutions and ensure that all the pieces work together seamlessly
Work with the project team, team leaders, project delivery leads, and client stakeholders to create stand-out Data & AI offerings powered by graph-based technologies
Develop strong relationships with clients and gain the trust of key advisors
Make the business case for the semantic layer solution recommended to the client
Pitch in on Accenture sales efforts when needed
Continue to learn and develop cutting edge Data & AI solutions, especially agentic technologies, provide through leadership on technology trends, new opportunities and innovations, or foreseeable limitations, risks, and concerns.
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
Bachelor's degree or equivalent (minimum 12 years' work experience). If Associate's Degree, must have equivalent minimum 6-year work experience
Minimum of 4 years of experience in designing and developing knowledge graph solutions and graph-based machine learning models, functional and technical experience required.
Minimum of 3 end-to-end data pipeline implementation for AI applications, particularly those involving LLMs or similar models, including hands-on design and configuration
Minimum of 6 years strong knowledge of relational databases, object stores, graph databases (e.g. Stardog, Neo4J, Amazon Neptune), and vector databases
Minimum of 6 years of experience in Knowledge Graph technologies (e.g. RDF, SPARQL, LPG, SHACL)
Minimum of 6 years of experience with schema design, ontology management, and Knowledge Graph curation.
Minimum of 6 years of managerial experience working with people with the ability to clearly explain the value of semantic layer and knowledge graphs to senior business and technology stakeholders, and proven track record selling and /or pre-sales and delivering data transformation programs and developing teams.
Bonus Points If:
Experience in Practical experience with NLP techniques and/or Search Techniques, prompt engineering
Experience with LLMs for enterprise-scale applications.
5+ years of hands-on experience with cloud platforms (AWS, Azure, GCP)
5+ years of experience in Python, with experience in frameworks like Tensorflow, PyTorch, and tools for building ETL pipelines (e.g. Apache NiFi, Airflow)
Strong collaboration skills with the ability to work across engineering, research, and product teams across multiple time zones.
You have external client-facing consulting experience
Ph.D. in Computer Science, Computer or Electrical Engineering, Mathematics, or a related field.
Broad experience in diverse ML techniques and agentic systems.
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 11/02/2026. 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 (https://www.accenture.com/us-en/careers/local/benefits)
Role Location Annual Salary Range California $132,500 to $338,300 Colorado $132,500 to $292,200 Connecticut $132,500 to $292,200 District of Columbia $141,100 to $311,200 Illinois $122,700 to $292,200 Maine $112,900 to $249,000 Maryland $132,500 to $292,200 Massachusetts $132,500 to $311,200 Minnesota $132,500 to $292,200 New York $122,700 to $338,300 New Jersey $141,100 to $338,300 Ohio $122,700 to $270,600 Virginia $122,700 to $311,200 Washington $141,100 to $311,200
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