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Cognizant Python Jobs (NOW HIRING)

Cognizant

AI Customer Engineer

Cognizant is seeking a highly skilled AI Customer Engineer to help clients understand and activate ... Python libraries, utilize LangChain, Hugging Face, OpenAI API, or local models • Very strong ...

Cognizant

Agentic AI MCP Integration Specialist

Cognizant is seeking an Agentic AI MCP Integration Specialist to design, implement, and support ... Python and experience developing APIs, connectors, microservices, or integration services. • ...

Cognizant

Five9 Developer

$15.25 - $20.25/hr

... Python, or similar) • Exposure to Workforce Optimization tools (e.g., Verint WFM) • Experience working in cloud-based environments Company : Cognizant is a professional services company that ...

Cognizant Technology Solutions

AI Engineer

Norfolk, VA · On-site

$81K - $141K/yr

Python, Java, and Go. • Proven experience deploying cloud-native solutions on Microsoft Azure ... A few of our roles may require in-person interviews at Cognizant offices or client locations ...

Cognizant Technology Solutions

AI Engineer

Norfolk, VA · On-site

$81K - $141K/yr

Python, Java, and Go. • Proven experience deploying cloud-native solutions on Microsoft Azure ... A few of our roles may require in-person interviews at Cognizant offices or client locations ...

Cognizant

Teamcenter Developer / Architect

Austin, TX · On-site

Cognizant is seeking a highly skilled and experienced Teamcenter Architect to join their team. The ... eg Python PowerShell Preferred : • Experience With Other PLM Systems Eg NX SolidWorks • ...

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How much do cognizant python jobs pay per hour?

As of Jul 19, 2026, the average hourly pay for cognizant python in the United States is $58.62, according to ZipRecruiter salary data. Most workers in this role earn between $48.32 and $66.59 per hour, depending on experience, location, and employer.

What does a Cognizant Python developer do?

A Cognizant Python developer is responsible for designing, developing, and maintaining software applications using the Python programming language, often as part of larger IT projects for clients. Their role typically involves writing efficient code, troubleshooting issues, integrating with databases and APIs, collaborating with cross-functional teams, and ensuring code quality through testing and reviews. They also stay updated with the latest Python features and industry trends to deliver robust solutions. At Cognizant, Python developers may work on projects in domains like data science, web development, automation, or cloud computing.

Is Cognizant laying off employees?

Cognizant, like many large IT companies, periodically adjusts its workforce based on business needs, which can include layoffs. However, there is no widespread or recent information indicating significant layoffs affecting the Python developer roles or similar positions at Cognizant. Job seekers should monitor official company communications and reliable news sources for the most current updates.

Which Python job is in demand?

Python developer roles are highly in demand across industries such as technology, finance, and healthcare. These positions often require skills in data analysis, automation, and web development, with experience in frameworks like Django or Flask and proficiency in SQL and cloud platforms. Staying updated with certifications and version control tools like Git can enhance job prospects.

Are Python coders in demand?

Python developers are in high demand across various industries due to the language's versatility, ease of use, and widespread adoption in data science, web development, and automation. Companies seek Python skills for roles involving scripting, machine learning, and backend development, often requiring knowledge of frameworks like Django or Flask and proficiency with related tools. The demand is expected to grow as technology continues to evolve and data-driven decision-making becomes more prevalent.

Is it hard to get hired at Cognizant Python?

Getting hired as a Python developer at Cognizant typically requires a strong understanding of Python programming, problem-solving skills, and relevant experience or certifications. The hiring process often involves technical assessments, interviews, and demonstrating proficiency with tools like SQL and frameworks such as Django or Flask.

What are the key skills and qualifications needed to thrive as a Python Developer at Cognizant, and why are they important?

To thrive as a Python Developer at Cognizant, you need strong programming skills in Python, a solid understanding of software development principles, and a relevant degree in computer science or a related field. Familiarity with frameworks like Django or Flask, experience with version control systems such as Git, and knowledge of databases are typically required, and certifications in Python or cloud platforms are beneficial. Problem-solving ability, effective communication, and teamwork are vital soft skills for excelling in collaborative and client-focused environments. These skills and qualifications enable developers to deliver robust, scalable solutions that meet business needs and drive project success.

What is the difference between Cognizant Python vs Cognizant Java Developer?

AspectCognizant PythonCognizant Java Developer
Required SkillsPython programming, scripting, data analysisJava programming, object-oriented design, backend development
CertificationsPython certifications (e.g., PCAP), relevant industry experienceJava certifications (e.g., Oracle Certified Java Programmer)
Work EnvironmentData analysis, automation, web developmentEnterprise applications, backend systems, web services
Industry UsageTech, finance, healthcare, data scienceBanking, insurance, enterprise software

Both Cognizant Python and Cognizant Java Developer roles require programming expertise and industry-specific experience. Python roles focus on scripting, data analysis, and automation, while Java roles emphasize enterprise application development. The choice depends on your technical skills and career interests within the industry.

What are the typical collaboration dynamics for a Python developer at Cognizant?

As a Python developer at Cognizant, you will often work within cross-functional teams that may include project managers, business analysts, QA testers, and other developers. Collaboration is key, as you'll frequently participate in agile ceremonies such as daily stand-ups, sprint planning, and code reviews. You can expect to interact closely with clients to understand their requirements and deliver effective solutions, while also supporting your peers by sharing knowledge and best practices. This collaborative environment helps foster continuous learning and ensures that projects are delivered efficiently and to a high standard.
More about Cognizant Python jobs
What job categories do people searching Cognizant Python jobs look for? The top searched job categories for Cognizant Python jobs are:
Cognizant Python jobs near you
AI Customer Engineer

AI Customer Engineer

Cognizant

Remote

Full-time

Posted 17 days ago

Cognizant rating

7.4

Company rating: 7.4 out of 10

Based on 85 frontline employees who took The Breakroom Quiz

41st of 58 rated business consultants

Job description

Job Summary:
Cognizant is seeking a highly skilled AI Customer Engineer to help clients understand and activate the potential of AI in their business. This role involves partnering with sales, industry specialists, and engineering to develop AI solutions that drive business transformation and accelerate deal conversion.
Responsibilities:
• Drive early‑stage discovery sessions with clients and account teams.
• Identify pain points, value levers, and high‑impact AI opportunities.
• Build “North Star” AI scenarios that illustrate meaningful business transformation.
• Translate vague or complex client questions into clear solution hypotheses and initial architectural logic.
• Design AI solutions by putting together the main components (LLMs, data sources, integrations) under guidance from senior engineers.
• Build prototypes, storyboards, demos, accelerators and reusable agentic blueprints
• Engineer & validate AI agents for reliability, reasoning, safety, and performance
• Lead PoCs, pilots, and phase-0 MVPs across industries
• Create compelling, client‑ready content: SoWs, proposals, architecture decks, value frameworks, and demo storylines.
• Lead technical walkthroughs, deep‑dives, and competitive differentiation discussions.
• Refine solution narratives based on client feedback and market conditions.
• Oversee seamless transition from sales to delivery, ensuring continuity and clarity.
Qualifications:
Required:
• Hands-on experience to Google ADK or CoPilot Studio in building AI Agents (or any tool such as CrewAI, Autogen for building agents)
• Hands-on working knowledge in defining and configuring prompts, instructions, tools, reasoning, guardrails and other similar concepts in AI Agent development
• Strong experience with RAG pipelines, Vector DBs, tokenization, and prompt engineering
• Hands-on experience in creating and maintaining Python libraries, utilize LangChain, Hugging Face, OpenAI API, or local models
• Very strong experience with developing RESTful APIs in Python using frameworks like FastAPI and integrate third-party services, UI components and APIs
• Hands-on working with Docker-based deployments, and leveraging GitHub for code repo and version control is MUST
• Own end-to-end architecture: LLM selection, context engineering, microservices, integrations, and UI.
• Build prototypes, storyboards, demos, accelerators, and reusable agentic blueprints.
• Engineer & validate AI agents for reliability, reasoning, safety, and performance.
• Lead PoCs, pilots, and phase0 MVPs across industries.
• Create thought leadership, reusable assets, and mentor engineering teams.
• Collaborate with hyper-scalers and product partners to craft next generation AI-led experiences.
• Strong communication skills and articulation skills
• Bachelor’s Degree or Equivalent Experience
• Must be legally authorized to work in the United States without the need for employer sponsorship, now or any time in the future.
Preferred:
• MS or MBA degree
• Demonstrated ability to turn ambiguous business problems into crisp AI use cases, with clear value hypotheses and measurable outcomes.
• Hands‑on prototyping mindset — able to quickly build functional demos, agent workflows, or LLM‑powered interactions that accelerate client conviction.
• Track record collaborating with hyperscalers, LLM providers, or ISVs in co‑sell or co‑build motions.
Company:
Cognizant is a professional services company that helps clients alter their business, operating, and technology models for the digital era. Founded in 1994, the company is headquartered in Teaneck, USA, with a team of 10001+ employees. The company is currently Late Stage.

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