AIML Engineer
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Job Location:
New York City, NY - USA
Monthly Salary:
Not Disclosed
Posted on:
2 hours ago
Vacancies:
1 Vacancy
Job Summary
Must Have Technical/Functional Skills
Technical Skills
5 years in data engineering AI engineering or knowledge graph development
Hands-on experience with knowledge graph technologies (property graph and/or RDF frameworks)
Experience with Cypher and/or SPARQL
Strong data modeling and ontology design skills
Experience integrating relational databases and external data sources
Strong Python development skills
Experience integrating LLMs into enterprise applications
Familiarity with RAG architecture and AI-driven recommendation systems
Roles & Responsibilities
Design and implement knowledge graph architecture using property graph and/or RDF-based models
Transform and integrate structured and semi-structured data into optimized graph structures
Develop and query graph systems using Cypher and/or SPARQL
Design ontologies and entity relationship models to support sales intelligence use cases
Integrate knowledge graphs with LLMs using Retrieval-Augmented Generation (RAG) architecture
Build APIs and application services to deliver AI-driven prospecting insights
Implement scoring relationship strength analysis and network traversal logic
Ensure scalability security and enterprise-grade performance
Partner with sales and business stakeholders to translate requirements into technical solutions
Preferred Qualifications
Experience building sales intelligence or CRM-adjacent platforms
Knowledge of embeddings semantic search and vector databases
Experience designing relationship scoring or network analytics models Cloud platform experience (AWS Azure or GCP)
Experience in financial services or insurance environments.
Success Criteria
Deliver a scalable knowledge graph AI solution that enhances sales prospect identification and relationship insights
Enable measurable improvements in targeting precision and cross-sell opportunity identification
Establish a reusable architecture pattern for enterprise AI-driven sales initiatives
TCS Employee Benefits Summary:
Discretionary Annual Incentive.
Comprehensive Medical Coverage: Medical & Health Dental & Vision Disability Planning & Insurance Pet Insurance Plans.
Family Support: Maternal & Parental Leaves.
Insurance Options: Auto & Home Insurance Identity Theft Protection.
Convenience & Professional Growth: Commuter Benefits & Certification & Training Reimbursement.
Time Off: Vacation Time Off Sick Leave & Holidays.
Legal & Financial Assistance: Legal Assistance 401K Plan Performance Bonus College Fund Student Loan Refinancing.
Salary Range: $120000 - $140000 a year
