About Cognizant Consulting
Cognizant Consulting is more than Cognizant's consulting practice, we're a global community of 5,000+ experts dedicated to helping clients reimagine their business. Blending our deep industry and technology advisory capability, we create innovative business solutions for Fortune 500 clients. And now, we're looking for our next colleague who'll join us in shaping the future of business. Could it be you?
About the role
As a Senior AI Engineer, you will make an impact by designing, building and operating production-grade AI and machine learning solutions across generative AI, RAG, agentic AI, data science, data engineering and cloud-native application development. You will be a valued member of the Tech Consulting Group team and work collaboratively with client and business stakeholders, and clients.
In this role, you will
- Design, develop, deploy and support production-grade AI and machine learning solutions across the complete engineering lifecycle, including requirements analysis, design, development, testing, deployment, monitoring and continuous improvement.
- Design and implement production-grade RAG and GraphRAG architectures, selecting vector, hybrid or knowledge graph-based retrieval patterns based on data, use-case, scalability and response-quality requirements.
- Design and develop agentic AI solutions using patterns such as single-agent, multi-agent, supervisor-worker, human-in-the-loop and event-driven architectures, implemented with frameworks such as LangGraph, LangChain, Semantic Kernel, AutoGen, CrewAI or LlamaIndex.
- Develop and evaluate machine learning and deep learning models, including NLP use cases, and build scalable data pipelines across relational, NoSQL, analytical, search, vector and graph data platforms.
- Deploy and operate AI workloads on AWS, Microsoft Azure or Google Cloud using established MLOps, LLMOps and CI/CD practices, and monitor, troubleshoot and optimize solutions for quality, performance, scalability, security, governance and cost.
Work model
At Cognizant, we strive to provide flexibility wherever possible. Based on this role's business requirements, this is a hybrid position requiring three days a week in a client or Cognizant office in Chennai, Bengaluru, Hyderabad, NCR, Pune, Kolkata or another Cognizant office location in India. Regardless of your working arrangement, we are here to support a healthy work-life balance through our various wellbeing programs.
The working arrangements for this role are accurate as of the date of posting. This may change based on the project you're engaged in, as well as business and client requirements. Rest assured; we will always be clear about role expectations.
What you must have to be considered
- At least four years of hands-on experience delivering production-grade AI and machine learning solutions.
- Practical expertise in generative AI, RAG, agentic AI, machine learning, data science and data engineering.
- Experience building AI-enabled APIs, microservices and application components and integrating AI capabilities with enterprise data and applications.
- Hands-on experience deploying and operating AI workloads on AWS, Microsoft Azure or Google Cloud using software engineering, MLOps, LLMOps and CI/CD practices.
- A background from a premium engineering college.
These will help you succeed
- Experience designing GraphRAG and knowledge graph-based retrieval architectures.
- Familiarity with agentic frameworks such as LangGraph, LangChain, Semantic Kernel, AutoGen, CrewAI or LlamaIndex.
- Experience developing AI-driven workflow automation by integrating agents with enterprise applications, APIs, tools, business rules and approval processes.
- Strong stakeholder engagement skills, including presenting architectural trade-offs and driving consensus on technical direction.
- Ability to produce maintainable code and technical documentation and contribute to engineering reviews and production readiness.
À savoir avant de postuler
- Autorisation de travail: Cognizant ne prendra en considération que les candidats à ce poste qui sont légalement autorisés à travailler au Canada sans avoir besoin d'un parrainage de l'employeur, aujourd'hui ou à l'avenir.
- Mesures d’adaptation: Si vous avez un handicap qui nécessite des mesures d’adaptation raisonnable pour effectuer une recherche d’emploi ou poser une candidature, veuillez envoyer un courriel à [email protected] avec votre demande et vos coordonnées.
- L’IA dans notre processus de recrutement: Nous utilisons des outils d'intelligence artificielle (IA) pour trier et évaluer les candidatures efficacement. Notre équipe examine ensuite les candidatures et décide qui passe à l’étape suivante.
- Poste à pourvoir: Sauf indication contraire, ce poste est actuellement vacant et nous cherchons à le pourvoir.
- Exigences linguistiques: Nous demandons à tous les candidats de posséder une connaissance de base de l’anglais afin de faciliter les communications internes. Pour les postes au Québec, la capacité à communiquer efficacement en anglais est requise car vous fournirez des services à et collaborerez avec des parties prenantes anglophones situées hors de la province.
- Inclusion: Cognizant est un employeur souscrivant au principe de l’égalité d’accès à l’emploi. Votre candidature et votre dossier ne seront pas examinés en fonction de la race, de la couleur, du sexe, de la religion, des croyances, de l'orientation sexuelle, de l'identité de genre, de l'origine nationale, du handicap, des renseignements génétiques, de la grossesse, du statut d'ancien combattant ou de toute autre caractéristique protégée par les lois fédérales, provinciales ou locales.
À propos de Cognizant
Cognizant (NASDAQ: CTSH) est un AI Builder et une entreprise de services numériques (ESN) élaborant des solutions complètes d’IA maximisant les investissements pour des résultats concrets. Sa profonde expertise des métiers, des processus et des technologies lui permet d’intégrer dans les systèmes technologiques le contexte unique de chaque organisation de l’ingénierie à la production à l’échelle. Son objectif: améliorer l’efficacité des équipes, créer de la valeur et permettre aux grandes entreprises de rester performantes dans un monde qui évolue rapidement. Pour en savoir plus: cognizant.ai ou @cognizant.
