GenAI Engineer - Senior Associate

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.

• 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.

• 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.

• Experience building and operating cloud‑native services on AWS, including ECS/EKS, Lambda, S3, Dynamo
  
  DB, Redshift, Step Functions, and Sage Maker.
• Proficiency with infrastructure‑as‑code and automation tools such as Terraform or Cloud Formation.
• 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.

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.

Please note, this role is not able to offer visa transfer or sponsorship now or in the future.

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.

• 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

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.