PstrongCompany Description /strong /ppstrongAbout Strategy in Action Ltd. /strong /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. /ppbr/ppstrongJob Description /strong /ppstrongAbout the Role /strong /ppWe 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. /ppbr/ppstrongKey Responsibilities: /strong /ppstrongOntology Knowledge Graph Development (40%) /strong /pulliDesign 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.) /liliCreate relationship taxonomies that capture complex strategic dependencies into formal knowledge structures /liliImplement ontology schemas in Neo4j or similar graph database systems. Create graph algorithms and queries to identify strategic patterns and insights from data /liliBuild data pipelines to extract, transform, and load strategic data from various sources (e.g. LLMs own knowledge, structured data sources, unstructured documents) /liliBalance theoretical rigor with practical applications in ontology design, to be validated with strategy experts /li /ulpstrongLLM Integration (30%) /strong /pulliDesign the technical architecture connecting knowledge graphs with LLMs like OpenAI, Anthropic and Gemini /liliDevelop context retrieval mechanisms that extract relevant subgraphs based on strategic queries /liliCreate prompt engineering templates that effectively incorporate knowledge graph structures /liliBuild response generation systems that combine graph analytics with LLM capabilities /liliImplement feedback loops to improve the system's strategic reasoning /li /ulpstrongBackend Implementation Collaboration (30%) /strong /pulliTake ownership of technical components from concept to implementation. Present technical approaches, trade-offs and progress to stakeholders /liliCollaborate with other developers to implement robust and scalable production systems /liliDocument architecture decisions and implementation details /liliWork directly with consultants and product managers, to understand strategic frameworks and use cases /li /ulpbr/ppstrongQualifications /strong /ppstrongRequired Qualifications /strong /pulliBachelor's degree or Master’s Degree in Computer Science, Data Science, Information Science, or related field /lili4-5 years of hands-on experience in Machine Learning, Data Science or Software Development /liliExperience with graph database technologies (Neo4j preferred) /liliStrong programming skills in Python /liliDemonstrated interest in knowledge representation, ontologies, or semantic technologies /liliFamiliarity with large language models and prompt engineering /liliAbility to translate conceptual frameworks into technical implementations /li /ulpstrongPreferred Qualifications /strong /pulliExperience with ontology development tools and languages (OWL, RDF, Protégé) /liliBackground in NLP techniques for information extraction /liliFamiliarity with LangChain, LangGraph, LlamaIndex, or similar LLM application frameworks /liliExperience with business strategy concepts or frameworks /liliContributions to knowledge graph or ontology projects /liliBackground in semantic web technologies or linked data principles /li /ulpstrongTechnical Skills /strong /pullistrongProgramming Languages /strong: Proficiency with Python is mandatory. Knowledge of JavaScript is also beneficial. /lilistrongGraph Technologies /strong: Neo4j, Cypher, GraphQL /lilistrongData Engineering /strong: ETL pipelines, data integration patterns /lilistrongMachine Learning /strong: NLP, embedding models, text classification /lilistrongLLM Integration /strong: Prompt engineering, context management /lilistrongVisualization /strong: Graph visualization tools and techniques /lilistrongContainerization /strong: Docker, Kubernetes /lilistrongCloud Platforms /strong: GCP familiarity is preferred (alternatively AWS or Azure). /li /ulpstrongPersonal Attributes /strong /pulliExceptional analytical thinking and problem-solving abilities /liliStrong communication skills to bridge technical and business concepts /liliSelf-motivated with the ability to work independently while collaborating effectively /liliIntellectual curiosity and passion for knowledge representation /liliComfort with ambiguity and ability to navigate evolving requirements /liliAttention to detail balanced with strategic thinking /liliCommitment to creating practical, business-focused solutions /li /ulpbr/ppstrongAdditional Information /strong /ppstrongWhat You'll Do in Your First Six Months /strong /pulliDesign and implement a core strategic ontology covering fundamental business strategy concepts /liliDevelop a proof-of-concept knowledge graph for a specific industry sector /liliCreate the initial integration connecting the knowledge graph with an LLM /liliDemonstrate strategic use cases showcasing the system's analytical capabilities /liliEstablish technical foundations for ongoing development /li /ulpbr/ppstrongWhy Join Strategy in Action /strong /ppThis 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. /ppbr/ppstrongLocation /strong /pp(Flexible/Remote/Office Location) /ppbr/ppstrongCompensation /strong /ppCompetitive salary based on experience, plus comprehensive benefits package (including equity options). /ppemStrategy in Action is an equal opportunity employer and values diversity in our organization /em /p