Generative AI Developer

a { text-decoration: none; color: #464feb; } tr th, tr td { border: 1px solid #e6e6e6; } tr th { background-color: #f5f5f5; }Senior Developer – AI/ML & Generative AI (Airflow, Python, MLOps)Location: Hybrid (Chicago, IL)Experience: 6–10+ yearsAbout CognizantCognizant is a leading global professional services company, helping organizations modernize technology, reimagine processes, and transform customer experiences. We leverage expertise in AI, cloud, and digital engineering to deliver measurable outcomes across industries.Role OverviewWe 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 ResponsibilitiesData Pipelines & Workflow OrchestrationDesign and implement robust data and model pipelines using Apache AirflowOrchestrate complex workflows ensuring reliability, scalability, and performance across hybrid environmentsAI & Generative AI DevelopmentDevelop Generative AI services to transform enterprise data into insights and contentEnsure solutions meet accuracy, safety, and compliance standardsApply prompt engineering and model integration techniques in business applicationsML Engineering & ProductionizationBuild production-ready machine learning solutions from experimental prototypesDevelop scalable services with monitoring, logging, and fault toleranceEnsure consistent delivery of value to downstream systemsMLOps & AutomationImplement MLOps best practices, including automated training, evaluation, deployment, and rollbackEnhance development velocity through CI/CD automation and lifecycle managementData Engineering & Feature ManagementBuild and maintain feature pipelines and data preparation processesEnsure high-quality, governed, and traceable data for model training and inferenceObservability & ReliabilityImplement monitoring, logging, and alerting for pipelines and modelsDetect and resolve issues related to data quality, model drift, and system performanceCollaboration & DeliveryPartner with data scientists, engineers, and product stakeholders to translate ideas into scalable solutionsContribute to backlog prioritization and iteration planningStandards, Governance & Best PracticesEnsure security, privacy, and responsible AI principles are embedded in solutionsPromote best practices in version control, testing, and CI/CDInnovation & Continuous ImprovementEvaluate emerging tools in Generative AI and MLOpsSupport experimentation through A/B testing and model comparison frameworksMentorship & LeadershipMentor junior developers on Airflow, debugging, and deployment strategiesFoster a collaborative and growth-oriented team environmentRequired QualificationsStrong experience in Python-based development for data and AI applicationsHands-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 pipelinesPreferred QualificationsExperience with containerization (Docker, Kubernetes)Exposure to cloud platforms (AWS, Azure, or GCP)Familiarity with CI/CD pipelines and DevOps practicesKnowledge of Responsible AI frameworks and governance modelsExperience working in enterprise-scale, hybrid environmentsStrong communication and stakeholder management skillsCertifications (Preferred)TensorFlow Developer CertificationAWS Certified Machine Learning – SpecialtyEquivalent certifications in AI/ML or MLOpsCompensationBase Salary Range: $120,000 – $130,000 per yearFinal compensation is based on experience, skills, and locationEligible for performance-based bonuses and incentive compensationBenefitsCognizant offers a comprehensive benefits package to support your well-being and career growth:Health & Wellness: Medical, dental, and vision insuranceFinancial Benefits: 401(k) with company match, life and disability insuranceTime Off: Generous PTO, paid holidays, and parental leaveLearning & Development: Access to certifications, training programs, and career advancement opportunitiesFlexible Work: Hybrid work model to support work-life balanceEmployee Experience: Wellness programs, employee resource groups, and recognition initiativesWhy Join Cognizant?Work on cutting-edge Generative AI and ML solutionsCollaborate with global clients and cross-functional teamsGrow your career in a high-demand, innovation-driven spaceBe part of a company committed to inclusion, diversity, and impact