Full Stack AI Architect @ Cognizant

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Exp: 10yrsLocation: Hyderabad/Chennai
Summary: _We are_ _seeking a highly skilled Full Stack AI Architect to join our team and work under the guidance of Principal Architect to develop and deploy LLM Agents & Multi-Agent Frameworks. The ideal candidate will have 10+ years of experience in software engineering, with a strong focus on AI/ML. This role requires excellent problem-solving capabilities and a strong execution mindset to drive the development and deployment of AI-powered solutions._
_Responsibilities:_
+ _Collaborate with the Principal Architect to design and implement AI agents and multi-agent frameworks._
+ _Develop and maintain robust, scalable, and maintainable microservices architectures._
+ _Ensure seamless integration of AI agents with core systems and databases._
+ _Develop APIs and SDKs for internal and external consumption._
+ _Work closely with data scientists to fine-tune and optimize LLMs for specific tasks and domains._
+ _Implement ML Ops practices, including CI/CD pipelines, model versioning, and experiment tracking1._
+ _Design and implement comprehensive monitoring and observability solutions to track model performance, identify anomalies, and ensure system stability2._
+ _Utilize containerization technologies such as Docker and Kubernetes for efficient deployment and scaling of applications3._
+ _Leverage cloud platforms such as AWS, Azure, or GCP for infrastructure and services3._
+ _Design and implement data pipelines for efficient data ingestion, transformation, and storage4._
+ _Ensure data quality and security throughout the data lifecycle5._
+ _Mentor junior engineers and foster a culture of innovation, collaboration, and continuous learning._
_Qualifications:_
+ _10+ years of experience in software engineering with a strong focus on AI/ML._
+ _Proficiency in frontend frameworks like React, Angular, or Vue.js._
+ _Strong hands-on experience with backend technologies like Node.js, Python (with frameworks like Flask, Django, or FastAPI), or Java._
+ _Experience with cloud platforms such as AWS, Azure, or GCP._
+ _Proven ability to design and implement complex, scalable, and maintainable architectures._
+ _Excellent problem-solving and analytical skills._
+ _Strong communication and collaboration skills._
+ _Passion for continuous learning and staying up to date with the latest advancements in AI/ML._
+ _End-to-end experience with at least one full AI stack on Azure, AWS, or GCP, including components such as Azure Machine Learning, AWS SageMaker, or Google AI Platform3._
+ _Hands-on experience with agent frameworks like Autogen, AWS Agent Framework, LangGraph etc._
+ _Experience with databases such as MongoDB, PostgreSQL, or similar technologies for efficient data management and integration._
_Illustrative Projects you may have worked on:_
+ _Successfully led the development and deployment of an AI-powered recommendation system using AWS SageMaker, integrating it with a Node.js backend and a React frontend._
+ _Designed and implemented a real-time fraud detection system on Azure, utilizing Azure Machine Learning for model training and Kubernetes for container orchestration._
+ _Developed a chatbot using Google AI Platform, integrating it with a Django backend and deploying it on GCP, ensuring seamless interaction with MongoDB for data storage_
Cognizant is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to sex, gender identity, sexual orientation, race, color, religion, national origin, disability, protected Veteran status, age, or any other characteristic protected by law.
Cognizant hiring for Selenium Testing

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Selenium -Automation Test engineer with Postman, ReadyAPI, optional - Development experience aswell some AI background
Proven understanding of a software development language e.g. C# Java or scripting language e.g. Python JavaScript and of software development methodology.
Knowledge of web services and hands-on experience with web service testing tools such as SoapUI.
Hands-on experience with Microsoft SQL.
Understanding of software development methodology and a strong understanding of backend (non UI) testing.
**Responsibilities**
As a Quality Engineer Senior Associate at Cognizant TriZetto you will be responsible for working on extremely complex tasks and problems of diverse scope including implementations upgrades enhancements integration and defect fixes. This includes assisting instructing and training team members within the same context. You will be responsible for designing testing requirements and writing communicating and verifying test executions with a focus on test automation and performance throughout the entire software development life cycle.
Cognizant is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to sex, gender identity, sexual orientation, race, color, religion, national origin, disability, protected Veteran status, age, or any other characteristic protected by law.
Cognizant hiring for Java, Springboot, Microservices

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Java/J2EE Spring Framework Spring boot Spring cloud Micro services architecture Azure Function Apps REST and SOAP API development Apache Tomcat Git Jenkins Maven NodeJS or similar source and build tools Problem solving and troubleshooting in a distributed environment
**Responsibilities**
Design build and maintain efficient reusable and reliable code using the above full stack technologies
Seeing through each user story from conception to finished feature for the product.
Meeting both technical and consumer needs.
Ensure the best possible performance quality security and responsiveness of the applications is met with each of the deliverables
Identify bottlenecks and bugs and devise solutions to those problems
Help maintain code quality organization and automatization
Staying abreast of developments in web applications and programming languages. Upskilling as per company norms.
Skills
Degree in Computer Science or equivalent
Proficiency with JAVA tchnologies
Experience in designing and developing APIs
Proficiency with with Angular JS 2 - 8 and MongoDB
Proficiency with fundamental front end languages such as HTML CSS and JavaScript
Proficient understanding of code versioning tools such as Git
Proficient in build and deployment tools like chef Jenkins etc.
Cognizant is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to sex, gender identity, sexual orientation, race, color, religion, national origin, disability, protected Veteran status, age, or any other characteristic protected by law.
Cognizant hiring for Dotnet full stack developer

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.NET
.NET MVC Restful API Web API Angular SQL MongoDB
**Responsibilities**
Overall 6 to 9 years experience
Strong experience creating and maintaining software applications using .NET and Visual Studio
Should have hands-on coding in MS Stack
Focused on developing front end UI and presentation layer code using C# and ASP.NET MVC Angular Bootstrap CSS and WEBAPI
Expertise in web development technologies including JavaScript jQuery AJAX XML XSLT RESTAPI
Should have experience in TDD
Experience in creating and maintaining software functionality delivered over SQL and specifically MS SQL Servers
Solid understanding of Object Oriented Programming techniques Web Services Design Patterns Test Driven Development and any unit testing framework (MSTest NUnit)Candidate must have prior experience designing and implementing advanced N Tier enterprise applications designed for commercial use
Experience in C++ and Com plus components is added advantage
Healthcare or Health Insurance industry experience preferred
Desirable to have working experience in US Healthcare domain
Desirable to have working experience in agile development model
Working experience with Azure development is added advantage
Cognizant is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to sex, gender identity, sexual orientation, race, color, religion, national origin, disability, protected Veteran status, age, or any other characteristic protected by law.
Cognizant is Hiring Pivotal Cloud Foundry, Kubernetes, DevOps

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We are seeking an experienced Infra. Technology Specialist with 6 to 10 years of experience to join our dynamic team member with PCF . The ideal candidate will have expertise in YAML Terraform Nexus Amazon Kubernetes Services AWS Services Shell Script Linux Docker and Pivotal Cloud Foundry. This role involves working in a hybrid model with rotational shifts ensuring the smooth operation and management of our cloud infrastructure.
**Responsibilities**
+ Lead the design implementation and management of cloud infrastructure using AWS Services.
+ Oversee the deployment and management of containerized applications using Docker and Amazon Kubernetes Services.
+ Provide expertise in writing and managing infrastructure as code using Terraform and YAML.
+ Manage and maintain Nexus repositories for efficient artifact storage and retrieval.
+ Develop and maintain shell scripts for automation of routine tasks and processes.
+ Ensure the stability and security of Linux-based systems and environments.
+ Implement and manage Pivotal Cloud Foundry (PCF) environments for scalable application deployment.
+ Collaborate with cross-functional teams to ensure seamless integration and operation of cloud services.
+ Monitor system performance and troubleshoot issues to ensure high availability and reliability.
+ Optimize cloud infrastructure for cost efficiency and performance.
+ Document processes configurations and procedures for future reference and compliance.
+ Stay updated with the latest industry trends and best practices in cloud technologies.
+ Provide support during rotational shifts to ensure 24/7 availability of services.
**Qualifications**
+ Must have strong experience with YAML Terraform and Nexus.
+ Must have expertise in Amazon Kubernetes Services and AWS Services.
+ Must have proficiency in Shell Script and Linux.
+ Must have hands-on experience with Docker and Pivotal Cloud Foundry.
+ Nice to have experience with PCF Work Model.
+ Should possess excellent problem-solving and troubleshooting skills.
+ Should have strong communication and collaboration abilities.
+ Should be able to work effectively in a hybrid work model.
+ Should be adaptable to rotational shifts.
+ Should be committed to continuous learning and improvement.
+ Should be detail-oriented and able to document processes accurately.
+ Should have a proactive approach to identifying and addressing potential issues.
+ Should have knowledge and working experience on cloud services ideally on PaaS N
+ Need to have good knowledge on PCF administration and knowledge on Kubernetes is added advantage. uF0F0
+ Manage PCF open cloud foundry (upgrade patching and monitoring).
+ Configuration of alerts in PCF alert manager.
#LI-SM5
Cognizant is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to sex, gender identity, sexual orientation, race, color, religion, national origin, disability, protected Veteran status, age, or any other characteristic protected by law.
Data Scientist and ML Engineer: Cognizant AI Agent HUB

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**Data Scientist and Machine Learning**
**Exp - 4-12 years**
**Location - Hyderabad and Chennai**
We are seeking a talented and experienced AI & Generative AI Developer to join our team and help us create groundbreaking generative AI models and applications. In this role, you will work closely with our team of data scientists, machine learning engineers, and researchers to develop, implement, and optimize generative LLM and foundational models for various verticals, such as Banking, Retail, Comms, and more. The ideal candidate will have a strong background in artificial intelligence, machine learning, NLP, and deep learning, with a passion for innovation and a drive to push the boundaries of generative AI technologies.
**Responsibilities:**
· Design, develop, and implement cutting-edge generative AI models using state-of-the-art techniques such as General Adversarial Networks (GANs), variational autoencoders (VAEs), and reinforcement learning.
· Collaborate with cross-functional teams to define project goals, research requirements, and develop innovative solutions.
· Optimize model performance through experimentation, hyperparameter tuning, and advanced optimization techniques.
· Stay up-to-date on the latest advancements in generative AI, deep learning, and related fields, and incorporate new techniques and methods into the team's workflow.
· Develop and maintain clear and concise documentation of generative AI models, processes, and results.
· Communicate complex concepts and results to both technical and non-technical stakeholders.
· Provide support and guidance to other team members, and contribute to a positive, collaborative working environment.
· Lead the development and deployment of large language models (LLMs) and agentic frameworks such as Autogen or CrewAI.
· Oversee cloud deployments, containerization, and orchestration of AI models to ensure scalability and reliability.
**Requirements:**
· Bachelor's or Master's degree in Computer Science, Artificial Intelligence, Machine Learning, or a related field.
· Strong background in artificial intelligence, machine learning, NLP, and deep learning, with a focus on generative models.
· Technical knowledge and hands-on experience with Azure OpenAI, Google Vertex Gen AI, and AWS LLM foundational models, BERT, Transformers, PaLM, Bard, etc.
· Proficiency in programming languages such as Python, and experience (3 - 6 years) with various Python packages (like TensorFlow, PyTorch, or Keras, etc.).
· Demonstrated experience with generative AI techniques, including GANs, VAEs, and reinforcement learning.
· Strong analytical and problem-solving skills, with the ability to quickly understand and adapt to new concepts and technologies.
· Excellent communication and collaboration skills, with the ability to work effectively both independently and as part of a team.
· Familiarity with cloud computing platforms such as AWS, Google Cloud, or Azure.
· Experience with leading LLMs and agentic frameworks such as Autogen or CrewAI.
· Experience with cloud deployments, containerization, and orchestration of AI models.
Cognizant is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to sex, gender identity, sexual orientation, race, color, religion, national origin, disability, protected Veteran status, age, or any other characteristic protected by law.
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