Banking​/PR - Engineering and Decision Systems

Principal — Knowledge Engineering And Decision Systems

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? 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.

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.

• 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
• 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
• 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
• Produce consulting deliverables — design documents, ontology specifications, technical specifications — that are precise, complete, and unambiguous enough for engineering teams to build from
• Work alongside our engineering team to ensure implementation reflects the design — identifying divergence early and resolving questions that surface during build
• Lead discovery with client stakeholders — understanding current systems, data structures, workflow requirements, and constraints through structured workshops and working sessions
• Communicate complex concepts clearly to both technical and non-technical client stakeholders
• Support knowledge transfer — ensuring client teams understand what has been built well enough to maintain and extend it
• 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
• Advise on correctness and auditability requirements for a system where AI enters structured knowledge pipelines

• Undergraduate degree in Computer Science, Engineering, Mathematics, or related discipline — or equivalent demonstrated experience
• Excellent communication and presentation skills, both written and verbal — including the ability to present complex concepts to mixed technical and business audiences
• 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
• Familiarity with graph database technologies — Neo4j, Amazon Neptune, or similar — at the design and modeling level
• Familiarity with formal knowledge representation approaches — OWL, RDF, DMN, SPARQL, or similar — and understanding of when and why to apply them
• Experience working in consulting or professional services contexts — facilitating workshops, engaging client stakeholders, managing technical communication across organizations
• Highly motivated with strong analytical acumen and problem solving skills
• Ability to travel as needed (typically up to 4 days/week) to client locations.
• 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.

Background in regulated industries where rules are complex, multi-jurisdictional, and correctness is non-negotiable — insurance, tax, healthcare, or financial services

The estimated total annual compensation (Base + Bonus) range for candidates based out on NJ, IL, NY, CA & WA will be $ 154,375 - $ 193,125