Build backend systems for agent evaluation and continuous improvement, design data models, own enterprise integrations, and deliver features from design to deployment while working with customers.
Compensation
Base salary: $180,000 to $200,000 annually. Visa sponsorship is available.
Responsibilities
Build backend systems for agent evaluation and continuous improvement
Design and evolve data models for evaluation datasets, experiment runs, agent traces, knowledge versions, findings, and customer-defined quality criteria
Own enterprise integrations from authentication and data synchronization through retries, monitoring, and production support
Take features from technical design and implementation through deployment, monitoring, customer feedback, and iteration
Work with customers to diagnose issues and turn their needs into reusable product capabilities
Requirements
Bachelor's degree in computer science or a related field
Lead the architecture, design, and hands‑on development of enterprise Generative AI and Agentic AI solutions.
Compensation
The annual salary for this position is between $100,000 to $150,000 depending on experience and other qualifications of the successful candidate. This position is also eligible for Cognizant’s discretionary annual incentive program, based on performance and subject to the terms of Cognizant’s applicable plans.
Responsibilities
Lead the architecture, design, and hands‑on development of enterprise Generative AI and Agentic AI solutions.
Architect and build scalable AI applications, copilots, intelligent agents, and reusable accelerators using modern large language models and agent orchestration frameworks.
Design solutions leveraging Retrieval‑Augmented Generation (RAG), vector databases, prompt engineering, and context engineering to address complex enterprise use cases.
Leverage AWS Bedrock, GitHub Copilot, Claude Code, and other AI‑assisted engineering tools to accelerate software delivery and enhance developer productivity.
Establish reusable AI engineering patterns and utilities that support cloud‑native architecture, CI/CD practices, and enterprise software engineering standards.
Lead the design, governance, and implementation of enterprise-scale AI and Generative AI platform architectures to enable secure, scalable AI solutions across global business functions.
Compensation
The base salary for this position ranges between $89,550 – $141,500 per year. Where the successful candidate may fall within the range depends on relevant education, work and/or management experience and other business-related and job-necessary qualifications. This position is also eligible for Cognizant's discretionary annual performance-based bonus, as well as benefits that support your physical, mental and financial wellbeing.
Responsibilities
Define and govern enterprise AI platform architecture
Design scalable AI and Generative AI solution architectures
Lead development of Python-based frameworks, services, APIs, and orchestration workflows
Establish AI platform standards, reference architectures, governance frameworks
Partner with stakeholders to deliver AI use cases in Cards and Payments domain
Requirements
Nice to have: Cards and Payments industry experience
Lead end-to-end architecture and implementation of enterprise-scale Generative AI and Agentic AI solutions
Compensation
Rate: $70/hr W2
Responsibilities
Assess business processes, systems, and data landscapes to identify high-impact GenAI opportunities.
Design and own end-to-end AI solution architecture, including LLM selection, agent design, RAG frameworks, integrations, security, governance, and evaluation methodologies.
Lead hands-on implementation efforts and establish engineering and prompt-engineering best practices.
Collaborate with business, IT, security, and engineering teams to align objectives and manage delivery risks.
Drive successful deployment and measurement of business outcomes through AI solutions.
Lead GEO (Generative Engine Optimization) & AI Search Strategist at CARFAX, responsible for defining and executing global strategy to optimize data accessibility and brand visibility across generative AI platforms and search engines.
Compensation
The anticipated annual base salary range for this position is $114,000-$170,000.
Responsibilities
Define and champion CARFAX’s Generative Engine Optimization strategy
Benchmark CARFAX’s presence across LLMs
Build and maintain MCP servers and LLM‑native content architecture
Optimize site DOM and accessibility for AI agents
Expand structured data and schema for AI knowledge extraction
Bright Vision Technologies is seeking a Generative AI Engineer to design and develop applications powered by large language models and other generative models.
Locations (2)
Irving, Texas, United States
Las Colinas, Texas, United States
Compensation
Salary Range: $115,000–$165,000 Annually
Responsibilities
Build generative AI application components using approved foundation models, model APIs, and orchestration frameworks.
Develop retrieval-augmented generation workflows using document ingestion, chunking, embeddings, and vector retrieval.
Design prompts, structured outputs, tool integrations, and conversation workflows for defined application use cases.
Create evaluation datasets and assess answer quality, relevance, hallucination risk, latency, and cost.
Integrate AI capabilities with enterprise systems and implement logging, monitoring, fallback, and feedback mechanisms.
AI EngineerNewJoyful Health · New York, US
Gen AI ArchitectNewCognizant · Charlotte, US
Lead GEO & AI Search StrategistNewCARFAX · Centreville, US
Generative AI EngineerNewBright Vision Technologies · Remote, US+1 more