PpStrategy in Action is a pioneering Strategy-as-a-Service (SaaS) provider revolutionizing how organizations develop and implement strategic initiatives. As the first company to offer comprehensive strategy services through an innovative technology platform, we combine deep management consulting expertise with cutting‑edge artificial intelligence. Our mission is to democratize access to world‑class strategic thinking by creating intelligent systems that augment human decision‑making. Our unique approach integrates traditional strategy frameworks with advanced knowledge representation and large language models, enabling companies of all sizes to benefit from strategic insights previously available only to enterprises with significant consulting budgets. /p h3Job Description /h3 pbAbout the Role /b /p pWe are seeking an exceptional ML Engineer / Data Scientist to design and implement our next‑generation strategic intelligence system. You will play a crucial role in connecting business strategy ontologies and knowledge graphs with large language models like OpenAI, Anthropic and Gemini. This position offers a unique opportunity to work at the intersection of knowledge engineering, artificial intelligence, and business strategy. While prior experience is valued, we're primarily looking for intellectual horsepower, technical versatility, and genuine passion for knowledge representation systems. /p pbKey Responsibilities: /b /p ul liDesign and develop comprehensive ontologies covering both company‑specific strategic elements and industry‑sector dynamics, following business strategy frameworks (SWOT, Porter's Five Forces, BCG Matrix, etc.) /li liCreate relationship taxonomies that capture complex strategic dependencies into formal knowledge structures /li liImplement ontology schemas in Neo4j or similar graph database systems. Create graph algorithms and queries to identify strategic patterns and insights from data /li liBuild data pipelines to extract, transform, and load strategic data from various sources (e.g. LLMs own knowledge, structured data sources, unstructured documents) /li liBalance theoretical rigor with practical applications in ontology design, to be validated with strategy experts /li /ul pbLLM Integration (30%) /b /p ul liDesign the technical architecture connecting knowledge graphs with LLMs like OpenAI, Anthropic and Gemini /li liDevelop context retrieval mechanisms that extract relevant subgraphs based on strategic queries /li liCreate prompt engineering templates that effectively incorporate knowledge graph structures /li liBuild response generation systems that combine graph analytics with LLM capabilities /li liImplement feedback loops to improve the system's strategic reasoning /li /ul pbBackend Implementation Collaboration (30%) /b /p ul liTake ownership of technical components from concept to implementation. Present technical approaches, trade‑offs and progress to stakeholders /li liCollaborate with other developers to implement robust and scalable production systems /li liDocument architecture decisions and implementation details /li liWork directly with consultants and product managers, to understand strategic frameworks and use cases /li /ul h3Qualifications /h3 pbRequired Qualifications /b /p ul liBachelor's degree or Master’s Degree in Computer Science, Data Science, Information Science, or related field /li li4-5 years of hands‑on experience in Machine Learning, Data Science or Software Development /li liExperience with graph database technologies (Neo4j preferred) /li liStrong programming skills in Python /li liDemonstrated interest in knowledge representation, ontologies, or semantic technologies /li liFamiliarity with large language models and prompt engineering /li liAbility to translate conceptual frameworks into technical implementations /li /ul pbPreferred Qualifications /b /p ul liExperience with ontology development tools and languages (OWL, RDF, Protégé) /li liBackground in NLP techniques for information extraction /li liFamiliarity with LangChain, LangGraph, LlamaIndex, or similar LLM application frameworks /li liExperience with business strategy concepts or frameworks /li liContributions to knowledge graph or ontology projects /li liBackground in semantic web technologies or linked data principles /li /ul pbTechnical Skills /b /p ul libGraph Technologies /b: Neo4j, Cypher, GraphQL /li libVisualization /b: Graph visualization tools and techniques /li libCloud Platforms /b: GCP familiarity is preferred (alternatively AWS or Azure). /li /ul pbPersonal Attributes /b /p ul liExceptional analytical thinking and problem‑solving abilities /li liStrong communication skills to bridge technical and business concepts /li liSelf‑motivated with the ability to work independently while collaborating effectively /li liIntellectual curiosity and passion for knowledge representation /li liComfort with ambiguity and ability to navigate evolving requirements /li liAttention to detail balanced with strategic thinking /li liCommitment to creating practical, business‑focused solutions /li /ul h3Additional Information /h3 pbWhat You'll Do in Your First Six Months /b /p ul liDesign and implement a core strategic ontology covering fundamental business strategy concepts /li liDevelop a proof‑of‑concept knowledge graph for a specific industry sector /li liCreate the initial integration connecting the knowledge graph with an LLM /li liDemonstrate strategic use cases showcasing the system's analytical capabilities /li liEstablish technical foundations for ongoing development /li /ul pbWhy Join Strategy in Action /b /p pThis role offers the unique opportunity to shape the future of strategic decision‑making at the intersection of structured knowledge and artificial intelligence. You'll be part of a pioneering team creating a system that fundamentally transforms how organizations develop and implement strategy. Working with both strategy experts and technical innovators, you'll help build technology that makes world‑class strategic thinking accessible to organizations of all sizes. If you're passionate about knowledge representation and AI with an interest in business strategy, this role provides an exceptional growth opportunity with significant impact potential. /p pbLocation /b /p p(Flexible/Remote/Office Location) /p pbCompensation /b /p pCompetitive salary based on experience, plus comprehensive benefits package (including equity options). /p pStrategy in Action is an equal opportunity employer and values diversity in our organization. /p /p #J-18808-Ljbffr