Principal / Lead AI-ML Engineer – Knowledge Graphs & Generative AI
About the role
As a Principal / Lead AI-ML Engineer – Knowledge Graphs & Generative AI, you will make an impact by designing and delivering enterprise-scale AI solutions that combine knowledge graphs, generative AI, and agentic systems to enable intelligent decision-making, contextual reasoning, and automation. You will be a valued member of the AI Engineering team and work collaboratively with data scientists, architects, product leaders, and business stakeholders to transform complex unstructured data into scalable, production-grade AI capabilities.
In this role, you will:
- Design and build enterprise knowledge graph solutions that enable semantic search, contextual intelligence, advanced analytics, and automated reasoning across large-scale unstructured data sources.
- Develop and deploy agentic AI systems that enrich, validate, and continuously improve knowledge repositories using LLMs, Vision-Language Models (VLMs), and multimodal AI capabilities.
- Architect and implement AI/ML pipelines leveraging large language models, small language models, retrieval-augmented generation (RAG), GraphRAG, and task-specific AI models.
- Lead the development of scalable machine learning and graph-based solutions that support anomaly detection, relationship discovery, semantic inference, and intelligent automation.
- Provide technical leadership and collaborate across engineering, product, and business teams to establish best practices, drive innovation, and deliver production-ready AI platforms.
Work model
We believe hybrid work is the way forward as we strive to provide flexibility wherever possible. Based on this role’s business requirements, this is a hybrid position requiring 3 days per week in a Cognizant or client office in Dallas, TX, with Charlotte, NC as a secondary location option requiring time in a Cognizant or client office as determined by project and business needs. Regardless of your working arrangement, we are here to support a healthy work-life balance through our various wellbeing programs.
The working arrangements for this role are accurate as of the date of posting. This may change based on the project you're engaged in, as well as business and client requirements. Rest assured; we will always be clear about role expectations.
What you need to have to be considered
- 10+ years of hands-on AI/ML engineering experience, including designing and deploying enterprise-scale AI solutions in production environments.
- Deep expertise in knowledge graph technologies, semantic data modeling, ontology development, and graph-based reasoning systems.
- Strong experience building and operationalizing agentic AI solutions, including multimodal applications leveraging Vision-Language Models (VLMs).
- Advanced proficiency in Python and experience developing machine learning, AI, and data engineering pipelines.
- Hands-on experience with large language models (LLMs), generative AI platforms, prompt engineering, fine-tuning techniques, and retrieval-augmented generation (RAG).
- Experience with graph technologies such as Neo4j, GraphDB, RDF, OWL, Cypher, SPARQL, and entity resolution methodologies.
- Proven ability to design, deploy, and scale AI systems using cloud platforms such as Azure, AWS, or Google Cloud Platform.
- Strong understanding of MLOps and LLMOps practices, including model deployment, observability, monitoring, governance, and performance optimization.
These will help you stand out
- Experience implementing GraphRAG architectures that combine knowledge graphs and generative AI for advanced reasoning and contextual intelligence.
- Expertise with agent orchestration frameworks such as LangChain, LangGraph, LlamaIndex, or similar technologies.
- Experience with vector databases and semantic search technologies, including Pinecone, FAISS, or comparable platforms.
- Knowledge of anomaly detection, graph analytics, embeddings, and relationship inference techniques.
- Experience leading technical teams, mentoring engineers, and driving enterprise AI strategy and architecture.
- Strong background in building highly scalable distributed AI systems across complex business domains.
We're excited to meet people who share our mission and can make an impact in a variety of ways. Don't hesitate to apply, even if you only meet the minimum requirements listed. Think about your transferable experiences and unique skills that make you stand out as someone who can bring new and exciting things to this role.
What we offer
- The chance to work with impact. Here, you’re empowered to bring your biggest thinking to help our company and clients improve everyday life.
- Ownership over your career. Stay at the top of your game through our award-winning learning and development ecosystem. And when your ambitions change or we offer new opportunities, we help you pivot by providing reskilling, on-the-job learning and guidance to find new roles that might be a better fit.
- The opportunity to thrive on a high caliber team with heart. We celebrate each other’s experiences and perspectives and promote a sense of belonging through our affinity groups and diversity and inclusion initiatives.
- A comprehensive total rewards package, including a competitive salary and a pension plan with matching contributions.
- Flexible health and financial benefits to support you and your eligible dependents—from day one.
- True work-life balance. Be at your best through paid time off, flexible work arrangements, volunteering opportunities, social events, and so much more.
About us
Cognizant (Nasdaq: CTSH) is an AI Builder and technology services provider, building the bridge between AI investment and enterprise value by building full-stack AI solutions for our clients. Our deep industry, process and engineering expertise enables us to build an organization’s unique context into technology systems that amplify human potential, realize tangible returns and keep global enterprises ahead in a fast-changing world. See how at www.cognizant.com or @cognizant.
Other employment-related information
Cognizant is an equal opportunity employer. Your application and candidacy will not be considered based on race, color, sex, religion, creed, sexual orientation, gender identity, national origin, disability, genetic information, pregnancy, veteran status or any other characteristic protected by federal, provincial or local laws.
If you have a disability that requires reasonable accommodation to search for a job opening or submit an application, please email [email protected] with your request and contact information.
Language requirements vary depending on roles, but we ask that all candidates have basic English proficiency for company-wide communications purposes. For roles based in Quebec, professional English proficiency is required, as you’ll deliver services to and collaborate with stakeholders outside the province who may not speak French.
