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Cognizant Automation Testing Jobs (NOW HIRING)

Cognizant

Automation Test Engineer1

$47 - $62.25/hr

Cognizant is a company focused on providing innovative solutions and services, and they are seeking an Automation Test Engineer to design, build, and execute automated testing solutions for health ...

Cognizant

Automation Test Engineer

$47 - $62.25/hr

Cognizant is seeking an Automation Test Engineer to design, build, and execute automated testing solutions for healthcare payer systems, focusing on Facets applications. The role involves ...

Dollartree

IT Testing Automation Lead

Chesapeake, VA · On-site

... IT Testing Automation Lead is a senior technical role responsible for driving test automation ... This role serves as the company's client-side automation lead in partnership with a Cognizant ...

Dollar Tree

IT Testing Automation Lead

Chesapeake, VA · On-site

... IT Testing Automation Lead is a senior technical role responsible for driving test automation ... This role serves as the company's client-side automation lead in partnership with a Cognizant ...

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$37.5K

$45.6K

$71K

How much do cognizant automation testing jobs pay per year?

As of Jun 1, 2026, the average yearly pay for cognizant automation testing in the United States is $45,556.00, according to ZipRecruiter salary data. Most workers in this role earn between $42,000.00 and $42,000.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a Cognizant Automation Testing professional, and why are they important?

To thrive as a Cognizant Automation Testing professional, you need expertise in software testing principles, scripting languages like Java or Python, and a solid understanding of test automation frameworks, usually backed by a relevant degree in computer science or engineering. Familiarity with tools such as Selenium, UFT, Jenkins, and experience with CI/CD pipelines and test management systems are highly valued, along with certifications like ISTQB. Strong analytical thinking, attention to detail, and effective communication are essential soft skills for collaborating with teams and troubleshooting issues. These capabilities ensure efficient test processes, high-quality software delivery, and seamless integration within agile development environments.

What are some common challenges faced by automation testers at Cognizant and how can they be addressed?

Automation testers at Cognizant often encounter challenges such as adapting to rapidly changing project requirements, integrating automation tools with existing systems, and ensuring comprehensive test coverage within tight deadlines. To overcome these, testers are encouraged to stay updated with the latest automation frameworks, maintain clear communication with development and business teams, and participate in regular code reviews. Leveraging Cognizant’s collaborative work culture and knowledge-sharing platforms can also help testers resolve technical issues efficiently and continuously improve their skills.

What is Cognizant Automation Testing?

Cognizant Automation Testing refers to the process and services provided by Cognizant, a global IT services company, to automate software testing tasks. This involves using specialized tools and frameworks to create automated test scripts, execute them, and validate software quality efficiently. Automation testing helps reduce manual effort, increases test coverage, and improves the reliability of software applications. Cognizant offers automation solutions tailored for web, mobile, and enterprise applications across various domains. Their automation testing services can help organizations accelerate release cycles and deliver higher-quality products.

What is the difference between Cognizant Automation Testing vs Cognizant Manual Testing?

AspectCognizant Automation TestingCognizant Manual Testing
Primary FocusDeveloping and executing automated test scriptsPerforming test cases manually without automation
Required SkillsProgramming, scripting, automation toolsTest case design, attention to detail
CertificationsISTQB, Selenium, QTP certifications often preferredISTQB, basic testing certifications
Work EnvironmentTest automation frameworks, scripting environmentsTest labs, manual testing setups

In summary, Cognizant Automation Testing involves creating automated scripts to streamline testing processes, while Cognizant Manual Testing focuses on executing test cases manually. Both roles are essential in the software testing lifecycle and require different skill sets, but they often work together within the same projects.

More about Cognizant Automation Testing jobs
What job categories do people searching Cognizant Automation Testing jobs look for? The top searched job categories for Cognizant Automation Testing jobs are:
Cognizant Automation Testing jobs near you
Infographic showing various Cognizant Automation Testing job openings in the United States as of May 2026, with employment types broken down into 1% As Needed, 83% Full Time, 12% Part Time, and 4% Contract. Highlights an 94% Physical, and 6% Remote job distribution, with an average salary of $45,556 per year, or $21.9 per hour.
AI Architect for Automation Delivery (Remote)

AI Architect for Automation Delivery (Remote)

Cognizant Technology Solutions

Dallas, TX • On-site, Remote

Full-time

Posted 17 days ago

Cognizant rating

7.5

Company rating: 7.5 out of 10

Based on 83 frontline employees who took The Breakroom Quiz

38th of 57 rated business consultants

Job description

AI Architect for Automation Delivery (Remote)
The Cognizant Automation practice delivers enterprise-grade AI, Machine Learning, GenAI, Agentic AI, Smart Data Intake, and Intelligent Automation solutions across mission-critical business and IT processes. We are seeking a highly technical AI Architect for Automation Delivery to drive the design, engineering, and implementation of scalable AI automation programs for a North America-based client.
This role is deeply execution-oriented and requires strong architectural judgment, hands-on delivery leadership, and the ability to translate business needs into robust, production-ready AI systems. The Engagement Lead will own the technical roadmap, solution architecture, delivery governance, and operationalization of AI and automation solutions at scale.
Key Responsibilities
AI Led Automation Architecture
  • Lead the end-to-end architecture of AI/ML/GenAI/Agentic AI solutions, including model selection, data pipelines, orchestration layers, integration patterns, and deployment architecture
  • Define reference architectures, reusable frameworks, and engineering standards for automation and AI workloads
  • Architect solutions using cloud AI services (Azure OpenAI, AWS Bedrock, GCP Vertex), AI capabilities provided by IPA platforms (UiPath, Power Platform), and custom Python-based pipelines
  • Conduct technical feasibility assessments, including data availability, model readiness, integration constraints, and infrastructure requirements
  • Ensure solutions meet enterprise standards for security, scalability, observability, compliance, and responsible AI
  • Own the technical delivery lifecycle: requirements, solution design, development oversight, testing, deployment, and hypercare
  • Guide engineering teams on model training, prompt engineering, RAG pipelines, vector databases, orchestration frameworks, and automation workflows
  • Oversee creation of APIs, microservices, connectors, and integration layers to embed AI into enterprise systems
  • Implement CI/CD pipelines, MLOps practices, and automation deployment frameworks
  • Drive performance tuning, model evaluation, monitoring, and continuous improvement of deployed AI systems
  • Establish AI governance and AI Strategy including model lifecycle management, versioning, auditability, and risk controls
  • Serve as the primary technical advisor to client architects, product owners, and engineering leaders. Drive adoption and operationalization of AI solutions through training, change management, and platform enablement
  • Lead for AI programs, driving alignment between business stakeholders, technical teams, and delivery partners. Should bring strong experience leading complex AI initiatives, manage cross-functional engagement, and translating strategic objectives into actionable program plans

Required Skills & Qualifications
AI/ML/GenAI Technical Expertise
  • Strong practitioner experience designing and implementing AI/ML pipelines, GenAI solutions, RAG architectures, and agent-based systems
  • Hands-on experience with cloud AI platforms:
    • Azure AI / Azure OpenAI
    • AWS AI/ML stack
    • GCP Vertex AI
  • Experience with vector databases (Pinecone, FAISS, Chroma, Redis), embeddings, prompt engineering, and LLM orchestration frameworks
  • Proficiency in Python, API development, microservices, and automation frameworks

Candidate Background
The ideal candidate brings a strong development and technical background, with hands-on experience in modern engineering stacks such as Python, Java, .NET, and related frameworks. A deep understanding of scalable architecture and clean coding practices is essential.
Automation & Integration Experience
  • Strong understanding of workflow orchestration, event-driven architectures, and enterprise integration patterns
  • Experience integrating AI with core systems (policy admin, claims, CRM, data lakes, APIs)

Architecture & Delivery Leadership
  • Proven ability to lead large-scale AI automation delivery programs with complex technical dependencies
  • Strong background in MLOps, DevOps, CI/CD, model monitoring, and production deployment
  • Experience conducting architecture reviews, threat modeling, and performance optimization
  • Ability to create technical roadmaps, solution blueprints, and engineering playbooks

Cognizant will only consider applicants for this position who are legally authorized to work in the United States without requiring company sponsorship now or at any time in the future.
About usCognizant (Nasdaq: CTSH) is an AI Builder and technology services provider, building the bridge between AI investment and enterprise value by building full-stack AI solutions for our clients. Our deep industry, process and engineering expertise enables us to build an organization's unique context into technology systems that amplify human potential, realize tangible returns and keep global enterprises ahead in a fast-changing world. See how at www.cognizant.com or @cognizant.
Additional employment information
Compensation information is accurate as of the date of this posting. Cognizant reserves the right to modify this information at any time, subject to applicable law.
Applicants may be required to attend interviews in person or by video conference. In addition, candidates may be required to present their current state or government issued ID during each interview.
Cognizant is an equal opportunity employer. Your application and candidacy will not be considered based on race, color, sex, religion, creed, sexual orientation, gender identity, national origin, disability, genetic information, pregnancy, veteran status or any other characteristic protected by federal, state or local laws.
If you have a disability that requires reasonable accommodation to search for a job opening or submit an application, please email [email protected] for roles based in the Americas or [email protected] for roles based in India.

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