Senior Associate – Full Stack AI & ML Applications
About Cognizant Corporate
Cognizant Corporate is a global community united by a shared purpose: to make a meaningful impact. We are committed to excellence and driven by outcomes that matter. Collaboration is at the heart of how we work, and our forward-thinking mindset fuels continuous learning, innovation, and growth.
At Cognizant, careers transcend titles. We empower our people to think strategically, inspire others, and lead with purpose – always guided by our core values. Join us in shaping future of business.
About the Role
As a Senior Associate – Full Stack AI & ML Applications, you will drive impactful contributions by building, enhancing, and scaling intelligent applications that leverage modern AI and machine learning capabilities. You will be a key member of a cross-functional product and engineering team, collaborating with product managers, AI/ML engineers, DevOps specialists, and business stakeholders.
This role provides the opportunity to work across the full technology stack, integrating AI/ML models into real-world applications, shaping system architecture, and embedding quality and security into every stage of the development lifecycle. You will have the autonomy to innovate, improve engineering practices, and influence technical decisions while delivering high-quality, scalable solutions.
In This Role, You Will
- Design, develop, and maintain robust and scalable full stack applications using technologies such as Python, Node.js, React, and Angular
- Collaborate with AI/ML engineers to integrate machine learning models, Generative AI solutions, and AI-driven capabilities into applications
- Build, consume, and maintain RESTful APIs and integrate third-party services and cloud-native components
- Implement responsive, intuitive, and user-friendly UI/UX using modern JavaScript frameworks
- Write clean, maintainable, well-documented code following engineering best practices and standards
- Partner with cross-functional teams including product, AI/ML, and DevOps to ensure seamless feature delivery
- Participate in code reviews, performance tuning, and system design discussions
- Develop and execute unit, integration, and end-to-end tests to ensure application quality and reliability
- Apply DevSecOps practices, including automated testing, vulnerability assessment, and continuous monitoring
- Stay current with emerging technologies and recommend improvements to tools, frameworks, and development practices
- Embrace our vibrant culture by striving for excellence, focusing on meaningful outcomes, collaborating effectively, and taking ownership to build impactful solutions
What You Must Have to Be Considered
- 8+ years of hands-on experience in software development across frontend and backend technologies
- Strong expertise in backend development using Python and Node.js
- Proficiency in frontend development using Angular or ReactJS
- Exposure to AI/ML concepts including Generative AI, large language models (LLMs), RAG architectures, vector databases, and embeddings
- Strong understanding of RESTful APIs, microservices architecture, and cloud-native application design
- Solid experience with unit testing, integration testing, and Agile/Scrum-based development
- Hands-on experience with DevSecOps practices including automated security testing and vulnerability management
- Experience working on cloud platforms such as Azure, AWS, or Google Cloud
- Experience with containerization, deployment, tuning, and optimization using Docker and Kubernetes
- A strong sense of ownership, desire to create meaningful outcomes, and passion for work that serves a greater good for customers, communities, or global challenges.
- The embodiment of Cognizant’s Values of: Work as One, Dare to Innovate, Raise the Bar, Do The right Thing, & Own It
These Will Help You Succeed
- Experience with event-driven architectures and messaging systems such as Kafka
- Familiarity with workflow orchestration tools such as Airflow
- Proficiency with database technologies including MongoDB, PostgreSQL, Redis, and object storage solutions such as S3
- Good understanding of networking fundamentals including HTTP/1, HTTP/2, cookies, and HTTP headers
- Experience using testing frameworks such as Jest and Selenium
- Exposure to ML or data engineering workflows
- Familiarity with AI/ML frameworks such as TensorFlow, PyTorch, and scikit-learn
- Experience in software design and architecture, including distributed systems, large-scale system design, and application security
Work Model – Hybrid
We believe hybrid work is the way forward as we strive to provide flexibility wherever possible. Based on this role’s business requirements, this is a hybrid position requiring 2–3 days per week in a Cognizant office in Bangalore.
Regardless of your working arrangement, we are committed to supporting a healthy work-life balance through our comprehensive wellbeing programs.
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 make you stand out as someone who can bring new and exciting contributions to this role.
关于高知特 (Cognizant)
高知特(Cognizant)（纳斯达克代码：CTSH）作为一家AI Builder和相关技术服务提供商，致力于通过打造全栈AI解决方案，帮助企业将人工智能投资转化为实际价值。公司凭借深厚的行业经验、流程优化和工程技术专长，将企业独特的业务场景融入科技系统，赋能组织释放人才潜能，推动切实成果，并帮助全球企业在瞬息万变的环境中保持领先。如需了解更多详情，敬请访问 cognizant.ai 或关注@cognizant。
补充雇佣信息
薪酬信息截至本职位发布之日为准。Cognizant 保留在适用法律允许的范围内随时修改该信息的权利。
申请人可能需要通过现场面试或视频会议的方式参加面试。此外，候选人在每次面试时可能需要出示其当前所在州或政府签发的有效身份证件。
Cognizant 是一家提供平等就业机会的雇主。在招聘过程中，您的申请和候选资格不会因种族、肤色、性别、宗教、信仰、性取向、性别认同、国籍、残疾、遗传信息、怀孕、退伍军人身份或任何其他受联邦、州或地方法律保护的特征而受到影响。
