Accenture
Knowledge Engineering Senior Manager/Associate Director
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Knowledge Engineering Leader
About the Role
You lead the complete knowledge engineering scope on our most strategic and complex programs. The role spans end-to-end strategy, architecture, and execution of AI and Knowledge Graph (KG) solutions while fostering innovation and establishing industry best practices.
Key Responsibilities
- Drive discipline-wide thought leadership in advanced Knowledge Graph, semantic AI, and emerging agentic technologies.
- Establish core standards for ontology design, evaluation, maintenance, and adoption within programs.
- Partner with senior stakeholders to justify and shape business cases for scalable semantic layer solutions.
- Lead Accenture’s sales and pre-sales efforts for data transformation programs and Knowledge Graph-enabled offerings.
- Build and mentor high-performance engineering teams across AI, ontologies, and digital transformation.
- Foster reusable, cutting-edge assets that advance the practice beyond individual engagements.
- Collaborate with business leaders to deliver graph-powered solutions for complex, multi-stakeholder programs.
The Work
Core Deliverables
- Transformational Knowledge Graph Scope: Design, develop, and implement high-impact AI-driven data architectures for Accenture’s most strategic clients.
- Trusted Advisor Relationships: Strengthen engagements with senior client stakeholders, influencing long-term innovation strategy.
- Executive Leadership: Present and defend the business case for Knowledge Graph solutions to C-suite and board level.
- Innovation & Thought Leadership: Drive Accenture’s positioning in new trends (e.g., LLMs, agentic AI) and curbential expertise globally.
- Cross-Functional Team Alignment: Spearhead global teams (R&D, engineering, sales) across multiple geographies and structures.
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Ideal Candidate
Basic (Required) Qualifications
- Bachelor’s degree or equivalent, with expertise in:
- Five+ years of experience in Knowledge Graph technologies: Deep proficiency in RDF, SPARQL, Lexicalized Graph Patterns (LPG), SHACL.
- Ontology & semantic design: Experience curating and managing complex knowledge hierarchies.
- End-to-end AI/data pipeline development: Hands-on work with KGs, graph-based ML, and enterprise scalable systems.
- Relational/graph/storage database mastery: Expertise in SQL/NoSQL, relational databases, Stardog, Neo4j, AWS Neptune, vector databases.
- LLM/Enterprise AI deployments: Successful experience in building and tuning LLM pipelines (including prompt engineering, GPT tuning).
- Cloud ecosystem: Deploying at enterprise scale in AWS, Azure, or GCP ecosystems.
- Team leadership: Track record of business-focused technical merchandising and client relationships.
- Technical writing & strategy: Ability to communicate semantic layer value to business and technical leaders.
- Leadership track record of mentoring cross-disciplinary teams and delivering data transformation programs.
Preferred Qualifications
- Relevant advanced degree (e.g. PhD in Computer Science, Linguistics, or Mathematics), with research in ML, ontology engineering, or cognitive architectures.
- Hands-on experience with NLP/Prompt Engineering in enterprise-grade systems (LLMs, generative agents, reasoning engines).
- Broad ML technique stack: Comfortable with supervised, unsupervised, and generative/agentic approaches, including frameworks like Tensorflow, PyTorch.
- Proven AI model deployment within global scale for enterprise consumption, including dอร์ CtR infrastructure and workflows (Apache Airflow, NiFi).
- Experience in consulting/enterprise architecture, with client-facing service delivery.
- Deep expertise in industry-tailored Knowledge Graph solutions (e.g., healthcare, pharma, finance, retail).
- Ability to collaborate asynchronously across engineering DBAs, researchers, and development teams in a global hybrid model.
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About Accenture
Accenture delivers world-class services across Strategy, Tech, Operations, and Specialized X industries. We drive tech innovation in cloud, AI, and data redesigning industries to enhance engagements, operations, and digital resilience.
Our culture emphasizes shared success—empowering teams to excel while enabling upward mobility—yielding 360° value for clients, communities, and colleagues alike.
Equal Employment Opportunity Statement
Diverse perspectives fuel innovation and full inclusion is central to our success. We ensure equal opportunity without regard to race, age, gender, religion, sexual orientation, disability, citizenship, or any status protected by law.
Join Accenture:
- Own your ambition and growth in a fast-paced, impactful work environment.
- Benefits include family bonding, development “upfronts”, and flexible learning options.
- Commence at a major players in redefining professional work in AI and data-driven solutions.
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