<p>Job Description</p> <p>Do you find yourself drawn to problems where the rules are genuinely complex - where getting them wrong has real consequences and getting them right requires both rigor and deep systems thinking? Do you translate ambiguous, multi-layered complexity into formal structures that teams can build from?</p> <p>If so, we want to speak with you. Infosys Consulting, the management and technology consulting unit of Infosys Ltd, is seeking a talented consultant to design and build a next-generation rules engine and knowledge graph in one of the most complex regulatory environments in financial services. Senior consultants seeking a demanding, high-visibility engagement with long-term growth potential will find both as part of our team.</p> <p>About the Role</p> <p>As a Principal - Knowledge Engineering and Decision Systems, you will operate at the intersection of formal knowledge representation, rules engine design, and AI-assisted compliance intelligence - translating complex, multi-jurisdictional regulatory requirements into a system that is computable, auditable, and maintainable at production scale.</p> <p>Responsibilities</p> <ul> <li>Serve as the primary consultant on the rules engine and knowledge graph workstream - owning the design approach and ensuring what gets built is correct, auditable, and maintainable </li><li>Design the ontology underpinning the knowledge graph - defining entities, properties, and relationships with particular attention to hierarchical inheritance, conflict resolution, and temporal validity across a complex multi-jurisdictional regulatory environment </li><li>Design the rules engine approach - how rules are represented as data rather than code, how they are evaluated against facts, how conflicts between jurisdictional levels are resolved explicitly and auditably </li><li>Produce consulting deliverables - design documents, ontology specifications, technical specifications - that are precise, complete, and unambiguous enough for engineering teams to build from </li><li>Work alongside our engineering team to ensure implementation reflects the design - identifying divergence early and resolving questions that surface during build </li><li>Lead discovery with client stakeholders - understanding current systems, data structures, workflow requirements, and constraints through structured workshops and working sessions </li><li>Communicate complex concepts clearly to both technical and non-technical client stakeholders </li><li>Support knowledge transfer - ensuring client teams understand what has been built well enough to maintain and extend it </li><li>Define how AI agent layers interact with the knowledge graph - how AI-assisted rule extraction, impact assessment, and decision support capabilities interface with the core rules system </li><li>Advise on correctness and auditability requirements for a system where AI enters structured knowledge pipelines </li></ul> <p>Basic Qualifications</p> <ul> <li>Undergraduate degree in Computer Science, Engineering, Mathematics, or related discipline - or equivalent demonstrated experience </li><li>Excellent communication and presentation skills, both written and verbal - including the ability to present complex concepts to mixed technical and business audiences </li><li>Demonstrated experience designing production rules engines and/or designing or working with knowledge graphs for complex domains - including ontology design, temporal validity modeling, and hierarchical relationship modeling </li><li>Familiarity with graph database technologies - Neo4j, Amazon Neptune, or similar - at the design and modeling level </li><li>Familiarity with formal knowledge representation approaches - OWL, RDF, DMN, SPARQL, or similar - and understanding of when and why to apply them </li><li>Experience working in consulting or professional services contexts - facilitating workshops, engaging client stakeholders, managing technical communication across organizations </li><li>Highly motivated with strong analytical acumen and problem solving skills </li><li>Ability to travel as needed (typically up to 4 days/week) to client locations. </li><li>Candidates authorized to work for any employer in the United States without employer-based visa sponsorship are welcome to apply. Infosys is unable to provide immigration sponsorship for this role at this time. </li></ul> <p>Preferred Qualifications</p> <p>Background in regulated industries where rules are complex, multi-jurisdictional, and correctness is non-negotiable - insurance, tax, healthcare, or financial services</p> <p>The estimated total annual compensation (Base + Bonus) range for candidates based out on NJ, IL, NY, CA & WA will be $ 154,375 - $ 193,125</p>