7 days ago
Base Salary
$64k - $102k/yr
Responsibilities
- Use AI pair-programming tools to accelerate software development, debugging, refactoring, and solution design.
- Guide engineering teams in adopting AI-assisted development while maintaining engineering ownership, coding standards, security, and architectural principles.
- Lead Agile and DevOps practices across the AI lifecycle, including model development, deployment, monitoring, and continuous improvement.
- Implement MLOps and AIOps processes for version control, experimentation, deployment automation, governance, and operational improvement.
- Establish pipelines for AI model training, testing, validation, and production releases.
- Design, develop, and maintain enterprise-grade Java applications using Spring Boot and cloud-native architectures.
- Optimize application performance, memory utilization, concurrency handling, and system reliability.
- Apply secure coding, automated testing, code review, and continuous integration practices.
- Coordinate data scientists, ML engineers, software developers, QA, operations, architecture, and business stakeholders.
- Implement AI governance, responsible AI controls, model monitoring, and operational risk management.
Requirements
- 8+ years of experience in software engineering, AI-enabled development, test automation, DevOps, or related technology domains.
- Strong expertise with AI-assisted software development tools such as GitHub Copilot, Microsoft Copilot, OpenAI-based platforms, or equivalent solutions.
- Proven experience with Java, Spring Boot, Microservices, REST APIs, and cloud-native application development.
- Hands-on experience in AI deployment, observability, MLOps, DevOps automation, and CI/CD pipeline implementation.
- Strong understanding of software quality engineering, automated testing, code review, and secure development practices.
- Experience implementing AI governance, responsible AI controls, model monitoring, and operational risk management.
- Experience working in Agile/Scrum environments and managing deliverables, dependencies, and continuous improvement initiatives.
- Strong stakeholder-management, communication, and collaboration skills across engineering, architecture, product, and business teams.
Benefits
- Hybrid work requiring three days per week in a Cognizant or client office in McLean, Virginia.
- Medical, dental, vision, and life insurance, subject to eligibility.
- 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 a discretionary annual incentive program based on performance and applicable plan terms.
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.