Generative AI Developer

About the role

We are seeking a Senior Developer with strong expertise in data engineering, AI/ML, and Generative AI to build scalable, production-grade solutions. This role focuses on developing Airflow-orchestrated pipelines, operationalizing machine learning models, and building reusable AI frameworks that drive smarter business decisions and deliver meaningful impact.

Key Responsibilities

• Data Pipelines & Workflow Orchestration
• Design and implement robust data and model pipelines using Apache Airflow
• Orchestrate complex workflows ensuring reliability, scalability, and performance across hybrid environments
• AI & Generative AI Development
• Develop Generative AI services to transform enterprise data into insights and content
• Ensure solutions meet accuracy, safety, and compliance standards
• Apply prompt engineering and model integration techniques in business applications
• ML Engineering & Productionization
• Build production-ready machine learning solutions from experimental prototypes
• Develop scalable services with monitoring, logging, and fault tolerance
• Ensure consistent delivery of value to downstream systems
• MLOps & Automation
• Implement MLOps best practices, including automated training, evaluation, deployment, and rollback
• Enhance development velocity through CI/CD automation and lifecycle management
• Data Engineering & Feature Management
• Build and maintain feature pipelines and data preparation processes
• Ensure high-quality, governed, and traceable data for model training and inference
• Observability & Reliability
• Implement monitoring, logging, and alerting for pipelines and models
• Detect and resolve issues related to data quality, model drift, and system performance
• Collaboration & Delivery
• Partner with data scientists, engineers, and product stakeholders to translate ideas into scalable solutions
• Contribute to backlog prioritization and iteration planning
• Standards, Governance & Best Practices
• Ensure security, privacy, and responsible AI principles are embedded in solutions
• Promote best practices in version control, testing, and CI/CD
• Innovation & Continuous Improvement
• Evaluate emerging tools in Generative AI and MLOps
• Support experimentation through A/B testing and model comparison frameworks
• Mentorship & Leadership
• Mentor junior developers on Airflow, debugging, and deployment strategies
• Foster a collaborative and growth-oriented team environment

Required Qualifications

• Strong experience in Python-based development for data and AI applications
• Hands-on expertise with Apache Airflow (DAG design, operators, scheduling optimization)
• Solid understanding of machine learning concepts (supervised/unsupervised learning, evaluation, feature engineering)
• Practical experience with MLOps practices (packaging, deployment, monitoring, lifecycle management)
• Experience implementing Generative AI solutions (prompt design, model integration)
• Strong SQL and data modeling skills for high-performance data pipelines

Preferred Qualifications

• Experience with containerization (Docker, Kubernetes)
• Exposure to cloud platforms (AWS, Azure, or GCP)
• Familiarity with CI/CD pipelines and DevOps practices
• Knowledge of Responsible AI frameworks and governance models
• Experience working in enterprise-scale, hybrid environments
• Strong communication and stakeholder management skills

Certifications (Preferred)

• TensorFlow Developer Certification
• AWS Certified Machine Learning – Specialty

Compensation

Base Salary Range: $120,000 – $130,000 per year
Final compensation is based on experience, skills, and location.
Eligible for performance-based bonuses and incentive compensation.

Benefits

• Health & Wellness: Medical, dental, and vision insurance
• Financial Benefits: 401(k) with company match, life and disability insurance
• Time Off: Generous PTO, paid holidays, and parental leave
• Learning & Development: Access to certifications, training programs, and career advancement opportunities
• Flexible Work: Hybrid work model to support work-life balance
• Employee Experience: Wellness programs, employee resource groups, and recognition initiatives

Why Join Cognizant?

• Work on cutting-edge Generative AI and ML solutions
• Collaborate with global clients and cross-functional teams
• Grow your career in a high-demand, innovation-driven space
• Be part of a company committed to inclusion, diversity, and impact