20 days ago
Dallas, TX, USASenior
Base Salary
$160k - $200k/yr
Responsibilities
- Design scalable, modular generative AI architectures for production use.
- Integrate generative AI capabilities into customer-facing and internal products.
- Design RAG architectures, multi-agent systems, workflow orchestration, model routing, fallback strategies, and low-latency inference systems.
- Translate product requirements into AI-driven capabilities and technical designs.
- Develop data pipelines, feature engineering workflows, unstructured data processing, knowledge graphs, metadata-driven architectures, and document ingestion and chunking strategies.
- Support model versioning, deployment pipelines, monitoring, logging, drift detection, containerization, Kubernetes, and inference cost optimization.
- Implement AI guardrails, content filters, policy enforcement, privacy controls, explainability, bias mitigation, and responsible AI practices.
Requirements
- Strong understanding of generative AI models, including LLMs, multimodal models, and embeddings.
- Hands-on experience with GPT-style, Claude-style, and LLaMA-style foundation 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 GenAI architectures using RAG, vector databases, semantic search, embeddings indexing, multi-agent systems, and workflow orchestration.
- Experience integrating GenAI 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, document ingestion, and chunking strategies.
- Strong experience in cloud-native environments, especially GCP, with familiarity with MLOps, containerization, Kubernetes, and CI/CD pipelines.
- Understanding of AI security risks, data privacy regulations such as GDPR, responsible AI, data quality, provenance, and governance.
- Applicants must be legally authorized to work in the United States without requiring company sponsorship now or in the future.
Benefits
- Remote work arrangement.
- 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.
- Eligibility for Cognizant’s discretionary annual incentive program, subject to applicable plans.
Tech Stack
Categories
About Cognizant
Cognizant is a public IT services and consulting firm that designs, builds, and runs enterprise technology, including digital engineering, cloud modernization, data/AI, and managed services. It sells consulting, systems integration, and outsourcing on multi-year engagements to large enterprises in healthcare, banking, retail, communications, and manufacturing. Founded in 1994 and headquartered in Teaneck, New Jersey, Cognizant is NASDAQ-listed (CTSH) and a Fortune 500 company.