5 days ago
Cleveland, OH, USASenior
Responsibilities
- Design scalable, modular generative AI architectures for production use.
- Integrate generative AI capabilities into customer-facing and internal products and translate product requirements into technical designs.
- Develop RAG architectures, vector database solutions, multi-agent systems, and workflow orchestration.
- Support data pipelines, feature engineering, unstructured data processing, knowledge graphs, metadata-driven architectures, and document ingestion.
- Implement MLOps capabilities including model versioning, deployment pipelines, monitoring, logging, and drift detection.
- Address inference optimization, model routing, fallback strategies, cost controls, AI security, guardrails, content filtering, privacy, and responsible AI.
Requirements
- Strong understanding of generative AI models, including LLMs, multimodal models, and embeddings.
- Hands-on experience with foundation models such as GPT-style, Claude-style, and LLaMA-style models and model adaptation techniques.
- Expertise in prompt engineering, prompt orchestration, and agent-based frameworks.
- Strong machine learning fundamentals, including supervised and unsupervised learning, evaluation metrics, and inference optimization.
- Experience designing scalable AI architectures and working with RAG, vector databases, semantic search, embeddings indexing, multi-agent systems, and workflow orchestration.
- Experience integrating generative AI into products and familiarity with A/B testing, feature flags, and iterative AI product releases.
- Proficiency in data pipelines, feature engineering, unstructured data processing, knowledge graphs, metadata-driven architectures, and document ingestion and chunking.
- Strong experience in cloud-native environments, particularly GCP, with familiarity with MLOps, containerization, Kubernetes, and deployment pipelines.
- Understanding of AI security risks, guardrails, content filters, policy enforcement, explainability, bias mitigation, compliance, and data privacy regulations such as GDPR.
Benefits
- Medical, dental, vision, and life insurance.
- Paid holidays and paid time off.
- 401(k) plan and contributions.
- Long-term and short-term disability coverage.
- Paid parental leave.
- Employee Stock Purchase Plan.
- Hybrid work arrangement available in Cleveland or Columbus, OH; Albany, NY; or Kansas City.
- Eligible for Cognizant’s discretionary annual incentive program based on performance and applicable plan terms.
Tech Stack
Categories
About Cognizant
Cognizant (Nasdaq: CTSH) is an AI Builder and technology services provider, bridging the gap between AI investment and enterprise value. We build full-stack AI solutions powered by deep industry, process and engineering expertise — embedding an organization's unique context into technology systems that amplify human potential and drive tangible outcomes. From strategy to deployment, we help global enterprises move from AI ambition to AI impact and stay ahead in a fast-changing world. See how at cognizant.ai | Follow us @cognizant