About the role
As a Gen AI Engineer, you will make an impact by designing, launching, and scaling agentic Generative AI solutions that reduce risk, cost, and operational complexity in large-scale production environments. You will be a valued member of the PRX AI Engineering team and will work collaboratively with production engineers, application teams, reliability engineers, and platform stakeholders to deliver safe, reliable, and auditable AI-driven outcomes that improve production support and operational productivity.
In this role, you will:
Design and build agentic AI systems using tool-calling, structured reasoning, retrieval, and secure action execution to diagnose and remediate production issues.
Productionize Large Language Models (LLMs) by building evaluation frameworks, retrieval pipelines, prompt orchestration, validation layers, and self-correction loops for real-world operations.
Integrate AI agents with observability, incident management, and deployment ecosystems to enable automated diagnostics, runbook execution, remediation, and post-incident summarization.
Embed safety, reliability, and governance into AI systems through guardrails, validator models, deterministic fallbacks, circuit breakers, and rollback strategies.
Collaborate closely with production and application teams to translate operational pain points into measurable, business-aligned agentic AI roadmaps.
What you need to have to be considered
5+ years of software development experience in Python, Java, C/C++, or Go, with strong hands-on experience building and maintaining large-scale Python applications.
3+ years of experience designing, testing, deploying, and operating production ML systems, including model serving, evaluation, monitoring, and data pipelines.
Hands-on experience with Large Language Models (LLMs), including API integration, prompt engineering, fine-tuning or adaptation, RAG pipelines, and tool-using agents.
Strong understanding of commercial and open-source LLM ecosystems such as OpenAI, Gemini, Llama, Qwen, and Claude.
Solid foundation in applied statistics, core machine learning concepts, data structures, and algorithms, with strong analytical and problem-solving skills.
These will help you stand out
Experience building and operating cloud-native services on AWS, including ECS/EKS, Lambda, S3, DynamoDB, Redshift, Step Functions, and SageMaker.
Proficiency with infrastructure-as-code and automation tools such as Terraform or CloudFormation.
Experience implementing safety, governance, and compliance controls for AI systems in production environments.
Strong understanding of performance optimization techniques including prompt optimization, caching, model routing, distillation, batching, and streaming.
Demonstrated ability to mentor peers, drive design reviews, and promote high engineering and experimentation standards.
Work model: On site
At Cognizant, we strive to provide flexibility wherever possible and support a healthy work-life balance through our wellbeing programs. Based on this role’s business requirements, this is an onsite position requiring 5 days per week in a client or Cognizant office in Dallas, TX or New York, NY.
Additional Information
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 set you apart.
*Please note, this role is not able to offer visa transfer or sponsorship now or in the future.*
Salary and Other Compensation:
The annual salary for this position is between $64,734 – $90,000 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.
Benefits
Medical, Dental, Vision, and Life Insurance
Paid Holidays plus Paid Time Off
401(k) plan and contributions
Long-term and Short-term Disability
Employee Stock Purchase Plan
Disclaimer
The salary, other compensation, and benefits information is accurate as of the date of this posting. Cognizant reserves the right to modify this information at any time, subject to applicable law.
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.
Additional employment information
Compensation information is accurate as of the date of this posting. Cognizant reserves the right to modify this information at any time, subject to applicable law.
Applicants may be required to attend interviews in person or by video conference. In addition, candidates may be required to present their current state or government issued ID during each interview.
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, state or local laws.
