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About the Role

As a Knowledge Engineer, you will formulate real-world problems into practical, efficient, and scalable AI and Knowledge Graph problems. You will lead a team, explore and implement new methodologies, model building techniques, and cutting-edge algorithms, applying them with the right architecture to solve real-world problems. You possess a deep understanding of knowledge engineering, generative AI, LLM, and multi-modal models, focusing on driving innovation by applying these techniques to new business problems, use cases, and scenarios. You will design, evaluate, and maintain ontologies as needed, and justify the value of innovative generative AI and knowledge graph approaches in business problems. You will construct methodologies and data architectures that clearly demonstrate value and collaborate with business and technical teams to achieve end-to-end project development goals.

Responsibilities

Build Knowledge Graph solutions that transform clients’ data architecture.
Design, develop, and implement AI and semantic solutions, ensuring seamless integration.
Collaborate with project teams, team leaders, project delivery leads, and client stakeholders to create Data & AI offerings powered by graph-based technologies.
Develop strong client relationships and gain the trust of key advisors.
Make the business case for recommended semantic layer solutions.
Assist with Accenture sales efforts as needed.
Continuously learn and develop cutting-edge Data & AI solutions, particularly agentic technologies.
Provide thought leadership on technology trends, new opportunities, innovations, limitations, risks, and concerns.

Requirements

Bachelor's degree or equivalent (minimum 12 years' work experience). If Associate’s Degree, must have equivalent minimum 6-year work experience.
Minimum of 2 years of experience in Knowledge Graph technologies (e.g. RDF, SPARQL, LPG, SHACL).
Minimum of 2 years of experience with schema design, ontology management, and Knowledge Graph curation.
Minimum of 2 years of experience in designing and developing knowledge graph solutions and graph-based machine learning models.
Minimum of 1 end-to-end data pipeline implementation for AI applications, particularly those involving LLMs or similar models, including hands-on design and configuration.
Minimum of 2 years and strong knowledge of relational databases, object stores, graph databases (e.g. Stardog, Neo4J, Amazon Neptune), and vector databases.

Skills

Knowledge Graph technologies (e.g. RDF, SPARQL, LPG, SHACL)
Schema design
Ontology management
Knowledge Graph curation
Knowledge graph solutions
Graph-based machine learning models
Data pipeline implementation for AI applications
LLMs
Relational databases
Object stores
Graph databases (e.g. Stardog, Neo4J, Amazon Neptune)
Vector databases
Cloud platforms (AWS, Azure, GCP)
Python
Tensorflow
PyTorch
ETL pipeline tools (e.g. Apache NiFi, Airflow)
NLP
Search techniques
Prompt engineering
Agentic technologies
Team lead experience
Collaboration skills
External client-facing consulting experience
Diverse ML techniques

Location

California
Colorado
Connecticut
District of Columbia
Illinois
Maine
Maryland
Massachusetts
Minnesota
New York
New Jersey
Ohio
Virginia
Washington

Work Type

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

Experience Level

Minimum 12 years' work experience (or 6 years with Associate's Degree)
Minimum of 2 years of experience in Knowledge Graph technologies
Minimum of 2 years of experience with schema design, ontology management, and Knowledge Graph curation
Minimum of 2 years of experience in designing and developing knowledge graph solutions and graph-based machine learning models
Minimum of 1 end-to-end data pipeline implementation for AI applications
Minimum of 2 years and strong knowledge of relational databases, object stores, graph databases, and vector databases
2+ years of hands-on experience with cloud platforms
2+ years of experience in Python
2+ years of experience in frameworks like Tensorflow, PyTorch, and tools for building ETL pipelines
Practical experience with NLP and/or Search techniques
Experience with Prompt engineering, and LLMs for enterprise-scale applications
Team lead experience
External client-facing consulting experience

Education Level

Bachelor's degree or equivalent
Associate's Degree (with equivalent minimum 6-year work experience)
Ph.D. in Computer Science, Computer or Electrical Engineering, Mathematics, or a related field.

Salary/Compensations

California $73,800 to $220,400
Colorado $73,800 to $190,400
Connecticut $73,800 to $190,400
District of Columbia $78,500 to $202,700
Illinois $68,300 to $190,400
Maine $62,800 to $162,200
Maryland $73,800 to $190,400
Massachusetts $73,800 to $202,700
Minnesota $73,800 to $190,400
New York $68,300 to $220,400
New Jersey $78,500 to $220,400
Ohio $68,300 to $176,300
Virginia $68,300 to $202,700
Washington $80,200 to $202,700

Benefits

Medical, dental, vision, life, and long-term disability coverage
401(k) plan
Bonus opportunities
Paid holidays
Paid time off

About the Company

Accenture is a leading global professional services company that helps the world’s leading businesses, governments and other organizations build their digital core, optimize their operations, accelerate revenue growth and enhance citizen services—creating tangible value at speed and scale.
We are a talent- and innovation-led company with approximately 791,000 people serving clients in more than 120 countries.
Technology is at the core of change today, and we are one of the world’s leaders in helping drive that change, with strong ecosystem relationships.
We combine our strength in technology and leadership in cloud, data and AI with unmatched industry experience, functional expertise and global delivery capability.
Our broad range of services, solutions and assets across Strategy & Consulting, Technology, Operations, Industry X and Song, together with our culture of shared success and commitment to creating 360° value, enable us to help our clients reinvent and build trusted, lasting relationships.
We measure our success by the 360° value we create for our clients, each other, our shareholders, partners and communities.
Visit us at www.accenture.com

Equal Opportunity

We have an unwavering commitment to diversity with the aim that every one of our people has a full sense of belonging within our organization. As a business imperative, every person at Accenture has the responsibility to create and sustain an inclusive environment.
Inclusion and diversity are fundamental to our culture and core values. Our rich diversity makes us more innovative and more creative, which helps us better serve our clients and our communities.
Accenture is committed to providing equal employment opportunities for persons with disabilities or religious observances, including reasonable accommodation when needed.
We believe that no one should be discriminated against because of their differences. All employment decisions shall be made without regard to age, race, creed, color, religion, sex, national origin, ancestry, disability status, military veteran status, sexual orientation, gender identity or expression, genetic information, marital status, citizenship status or any other basis as protected by applicable law.
Accenture is an EEO and Affirmative Action Employer of Veterans/Individuals with Disabilities.
Accenture is committed to providing veteran employment employment opportunities to our service men and women.