About the Role
We 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.
Key Responsibilities:
Ontology & Knowledge Graph Development (40%)
- Design 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.)
- Create relationship taxonomies that capture complex strategic dependencies into formal knowledge structures
- Implement ontology schemas in Neo4j or similar graph database systems. Create graph algorithms and queries to identify strategic patterns and insights from data
- Build data pipelines to extract, transform, and load strategic data from various sources (e.g. LLMs own knowledge, structured data sources, unstructured documents)
- Balance theoretical rigor with practical applications in ontology design, to be validated with strategy experts
LLM Integration (30%)
- Design the technical architecture connecting knowledge graphs with LLMs like OpenAI, Anthropic and Gemini
- Develop context retrieval mechanisms that extract relevant subgraphs based on strategic queries
- Create prompt engineering templates that effectively incorporate knowledge graph structures
- Build response generation systems that combine graph analytics with LLM capabilities
- Implement feedback loops to improve the system's strategic reasoning
Backend Implementation & Collaboration (30%)
- Take ownership of technical components from concept to implementation. Present technical approaches, trade-offs and progress to stakeholders
- Collaborate with other developers to implement robust and scalable production systems
- Document architecture decisions and implementation details
- Work directly with consultants and product managers, to understand strategic frameworks and use cases
Required Qualifications
- Bachelor's degree or Master’s Degree in Computer Science, Data Science, Information Science, or related field
- 4-5 years of hands-on experience in Machine Learning, Data Science or Software Development
- Experience with graph database technologies (Neo4j preferred)
- Strong programming skills in Python
- Demonstrated interest in knowledge representation, ontologies, or semantic technologies
- Familiarity with large language models and prompt engineering
- Ability to translate conceptual frameworks into technical implementations
Preferred Qualifications
- Experience with ontology development tools and languages (OWL, RDF, Protégé)
- Background in NLP techniques for information extraction
- Familiarity with LangChain, LangGraph, LlamaIndex, or similar LLM application frameworks
- Experience with business strategy concepts or frameworks
- Contributions to knowledge graph or ontology projects
- Background in semantic web technologies or linked data principles
Technical Skills
- Programming Languages: Proficiency with Python is mandatory. Knowledge of JavaScript is also beneficial.
- Graph Technologies: Neo4j, Cypher, GraphQL
- Data Engineering: ETL pipelines, data integration patterns
- Machine Learning: NLP, embedding models, text classification
- LLM Integration: Prompt engineering, context management
- Visualization: Graph visualization tools and techniques
- Containerization: Docker, Kubernetes
- Cloud Platforms: GCP familiarity is preferred (alternatively AWS or Azure).
Personal Attributes
- Exceptional analytical thinking and problem-solving abilities
- Strong communication skills to bridge technical and business concepts
- Self-motivated with the ability to work independently while collaborating effectively
- Intellectual curiosity and passion for knowledge representation
- Comfort with ambiguity and ability to navigate evolving requirements
- Attention to detail balanced with strategic thinking
- Commitment to creating practical, business-focused solutions
What You'll Do in Your First Six Months
- Design and implement a core strategic ontology covering fundamental business strategy concepts
- Develop a proof-of-concept knowledge graph for a specific industry sector
- Create the initial integration connecting the knowledge graph with an LLM
- Demonstrate strategic use cases showcasing the system's analytical capabilities
- Establish technical foundations for ongoing development
Why Join Strategy in Action
This 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.
Location
[Flexible/Remote/Office Location]
Compensation
Competitive salary based on experience, plus comprehensive benefits package (including equity options).
Strategy in Action is an equal opportunity employer and values diversity in our organization.
