Knowledge Engineer Specialist, Data Eng, Mgmt & Governance Team Lead/Consultant | Mid-Level

Job title: Knowledge Engineer Specialist, Data Eng, Mgmt & Governance Team Lead/Consultant | Mid-Level

About the Role You will serve as a Knowledge Engineer who translates real-world business problems into practical, scalable AI and Knowledge Graph solutions. You will lead a team, explore advanced methodologies, and apply cutting-edge techniques across business problems to drive innovation and value for clients.

What You'll Do

• Build Knowledge Graph solutions that transform clients’ data architecture.
• Design, develop, and implement AI and semantic solutions and ensure that all pieces work together seamlessly.
• Work with project teams, 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 and demonstrate value to clients.
• Pitch in on sales efforts when needed.
• Continue to learn and develop cutting edge Data & AI solutions, especially agentic technologies, providing leadership on technology trends, opportunities, and risks.
• Travel may be required (0% to 100% depending on business need).

What We're Looking For

• Bachelor's degree or equivalent (minimum 12 years) work experience. If Associate’s Degree, minimum 6 years of 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 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.
• Minimum of 2 years of strong knowledge of relational databases, object stores, graph databases (e.g., Stardog, Neo4J, Amazon Neptune), and vector databases.
• Bonus Points If: 2+ years of hands-on experience with cloud platforms (AWS, Azure, GCP); 2+ years of Python with frameworks like TensorFlow, PyTorch, and ETL tools (NiFi, Airflow); practical NLP and/or Search experience; prompt engineering and LLMs for enterprise-scale applications; team lead experience; strong collaboration across engineering, research, and product teams across multiple time zones; external client-facing consulting experience; broad experience in diverse ML techniques and agentic systems.

Nice to Have

• Bonus points for cloud platform experience and strong Python expertise with ML/ETL tooling, NLP, and enterprise LLM deployments.
• Demonstrated ability to lead teams and collaborate with clients in consulting settings.
• Broad experience across ML techniques and agentic systems.

Compensation & Benefits

• Salary ranges vary by location. Examples include: California $70,350 - $205,800; Cleveland $59,100 - $164,600; Colorado $63,800 - $177,800; District of Columbia $68,000 - $189,300; Illinois $59,100 - $177,800; Maine $54,400 - $151,400; Maryland $63,800 - $177,800; Massachusetts $63,800 - $189,300; Minnesota $63,800 - $177,800; New York $66,300 - $205,800; New Jersey $68,000 - $205,800; Virginia $59,100 - $189,300; Washington $80,200 - $189,300.
• Benefits include medical, dental, vision, life, long-term disability, 401(k) with bonus opportunities, paid holidays, and paid time off.
• Locations include multiple U.S. locations across numerous states (e.g., CA, NY, TX, VA, OH, IL, NJ, WA, CO, MA, IN, OR, TN, MI, PA) with role-specific location details provided in the posting.