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.
コグニザントのコミュニティ：
私たちは、互いを尊重し支え合う優秀な人材の集まりです。社員一人ひとりが成長し、力を発揮できるよう、エネルギッシュで協力的かつインクルーシブな職場環境を大切にしています。
- コグニザントは、世界中に30万人以上のアソシエイトを擁するグローバルコミュニティです。
- 私たちは、より良い方法を夢見るだけでなく、それを実現します。
- 人、クライアント、企業、地域社会、そして環境に対して、常に「正しいこと」を行うことで責任を果たします。
- あなたにとって最適なキャリアパスを築くことができる、革新的な環境を提供します。
私たちについて：
コグニザント（NASDAQ: CTSH）は、AI builderおよびテクノロジーサービスプロバイダとして、AI投資を企業価値へとつなげるフルスタックのAIソリューションを提供しています。業界、業務プロセス、エンジニアリングに関する深い専門性を強みに、各企業固有のコンテキストをテクノロジーシステムに組み込み、人の力を最大限に引き出すとともに、具体的な成果の創出と、急速に変化する世界におけるグローバル企業の競争力維持を支援します。詳しくは、当社ウェブサイト www.cognizant.com をご覧ください。
コグニザントは機会均等を重視する雇用主です。応募者および候補者は、人種、肌の色、性別、宗教、信条、性的指向、性自認、国籍、障がい、遺伝情報、妊娠、退役軍人の地位、または連邦、州、地方の法律で保護されているその他の特性に基づいて差別されることはありません。
免責事項：
応募者は、対面またはビデオ会議による面接への参加を求められる場合があります。また、各面接の際に、現住所または政府発行の身分証明書の提示が必要となる場合があります。