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Cognizant

Cognizant is an AI Builder and technology services provider that bridges the gap between AI investment and enterprise value. The company specializes in building full-stack AI solutions, leveraging deep industry expertise to enhance technology systems that amplify human potential and drive tangible outcomes. Cognizant assists global enterprises in transitioning from AI ambition to impact, ensuring they remain competitive in a rapidly evolving landscape.

About the Role
 Cognizant is seeking an experienced E3PL Application Support professional to provide post-production support for E3PL warehouse management solutions. This role is responsible for ensuring timely issue resolution, maintaining SLA compliance, serving as the primary customer-facing support contact, and delivering end-to-end application support services. The ideal candidate will combine strong technical expertise with a customer-focused mindset to drive operational stability and continuous improvement. Key Responsibilities
 
In this role, you will: 
<ul>
<li>Serve as the primary point of contact for customers, providing end-to-end application support and service delivery.</li>
<li>Triage, troubleshoot, analyze, and resolve production issues while coordinating with internal teams and third-party software vendors as needed.</li>
<li>Support change management activities, including impact analysis, testing, deployment validation, and lower-environment testing.</li>
<li>Prioritize and manage multiple support requests and competing business priorities in a fast-paced environment.</li>
<li>Lead and mentor a blended onsite and offshore support team, providing technical guidance, coaching, and knowledge transfer.</li>
<li>Develop and maintain support documentation, including Standard Operating Procedures (SOPs), Knowledge Base articles, change specifications, and support runbooks. Work Model</li>
</ul>
We strive to provide flexibility wherever possible. Based on business requirements, this position is remote within the United States .
 Regardless of your work arrangement, Cognizant is committed to supporting a healthy work-life balance through our comprehensive wellbeing programs.
 The working arrangements for this role are accurate as of the date of posting and may change based on project, business, or client requirements. Required Qualifications
 <ul>
<li>7+ years of hands-on experience supporting and implementing E3PL Warehouse Management Systems (WMS) .</li>
<li>Strong understanding of E3PL application architecture, configuration, and design principles.</li>
<li>Experience with labels, reporting, databases, EDI transactions, and system integrations.</li>
<li>Ability to review, analyze, and critique system designs and configurations for supportability and performance. Preferred Qualifications</li>
<li>Infios (E3PL) Certification.</li>
<li>Experience leading onsite and offshore support teams.</li>
<li>Knowledge of warehouse operations, supply chain processes, and logistics environments. Why Join Cognizant</li>
</ul>
We're excited to meet people who share our passion for delivering exceptional client outcomes and driving operational excellence. If you meet most, but not all, of the qualifications, we encourage you to apply and tell us about your transferable skills and unique experiences. Compensation and Benefits
 Application Deadline: August 9, 2026
 Salary Range: $100,000 – $115,000 annually, depending on experience, qualifications, and other relevant factors.
 This position is also eligible for Cognizant's discretionary annual incentive program, subject to performance and applicable plan terms.
 
Benefits include: 
<ul>
<li>Medical, Dental, Vision, and Life Insurance</li>
<li>Paid Time Off and Company Holidays</li>
<li>401(k) with Company Contributions</li>
<li>Short-Term and Long-Term Disability Coverage</li>
<li>Paid Parental Leave</li>
<li>Employee Stock Purchase Plan Additional Information</li>
</ul>
The salary, compensation, and benefits information listed is accurate as of the date of posting. Cognizant reserves the right to modify these offerings at any time, subject to applicable laws.
 Please note: This role is not eligible for visa sponsorship or visa transfer now or in the future.
 CogWW901
 #LI-RC1

E3PL Application Support Lead / Analyst - Sr. Associate - 00069634101

Facets Data Conversion Engineer (Remote)
 Location: Remote
 Employment Type: Full-Time
 Job ID: 00069603921
 Facets Data Conversion Engineer (Remote)
 About the Role
 As a Facets Data Conversion Developer, you will play a key role in transforming and migrating healthcare data that powers critical payer operations. You'll work on high-impact initiatives supporting the TriZetto Facets platform, helping healthcare organizations improve efficiency, data accuracy, and member experiences.
 You'll join a collaborative team of healthcare and technology professionals who are passionate about delivering innovative solutions. If you enjoy solving complex data challenges, building scalable solutions, and working in a fast-paced healthcare environment, this role offers an exciting opportunity to make a meaningful impact.
 
In this role, you will: 
Design, develop, and maintain T-SQL stored procedures that support complex healthcare data conversion and migration initiatives.
 Build and implement data solutions that ensure accurate and efficient movement of information into the TriZetto Facets platform.
 Support Facets batch processing activities and help maintain the reliability of critical business operations.
 Create scorecards, load summaries, and operational reports that provide valuable insights into data quality and processing outcomes.
 Perform ETL activities, including importing, transforming, validating, and reconciling data from multiple source systems.
 Collaborate with business and technical teams to understand requirements and deliver effective, scalable solutions.
 Troubleshoot data and system issues, identify root causes, and implement sustainable fixes.
 Contribute to continuous process improvements that enhance data quality, automation, and operational efficiency.
 Work Model
 We strive to provide flexibility wherever possible. Based on this role's business requirements, this is a remote position open to qualified applicants in the United States. Regardless of your working arrangement, we are here to support a healthy work-life balance through our various wellbeing programs.
 What You Need to Have to Be Considered
 Strong hands-on experience developing and optimizing T-SQL queries, stored procedures, and database solutions.
 Experience working with SQL Server Management Studio (SSMS) and Microsoft SQL Server environments.
 Background supporting data conversion, ETL, data migration, or data integration projects.
 Proficiency using Microsoft Excel for data analysis, validation, and reconciliation.
 Experience utilizing Windows PowerShell for automation and scripting activities.
 Ability to analyze large datasets and troubleshoot data-related issues effectively.
 Strong written and verbal communication skills with the ability to collaborate across technical and business teams.
 Proven ability to manage multiple priorities while maintaining a high level of accuracy and attention to detail.
 These Will Help You Stand Out
 Experience with TriZetto Facets or other healthcare payer platforms.
 Knowledge of healthcare enrollment, claims, membership, or provider data.
 Experience supporting healthcare data conversion or modernization initiatives.
 Familiarity with healthcare data governance and data quality best practices.
 Exposure to Agile methodologies and modern software development practices.
 
Salary and Other Compensation: 
Applicants will be accepted till 7/30/2026
 Cognizant will only consider applicants for this position who are legally authorized to work in the United States without company sponsorship.
 <ul>
<li>Please note, this role is not able to offer visa transfer or sponsorship now or in the future*</li>
</ul>
The annual salary for this position will be in the range of $77,000 - $85,000 depending on experience and other qualifications of the successful candidate.
 This position is also eligible for Cognizant’s discretionary annual incentive program, based on performance and subject to the terms of Cognizant’s applicable plans.
 Benefits : Cognizant offers the following benefits for this position, subject to applicable eligibility requirements:
 Medical/Dental/Vision/Life Insurance
 Paid holidays plus Paid Time Off
 401(k) plan and contributions
 Long-term/Short-term Disability
 Paid Parental Leave
 Employee Stock Purchase Plan
 Disclaimer: The salary, other compensation, and benefits 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.
 Our strength is built on our ability to work together. Our diverse backgrounds offer different perspectives and new ways of thinking. It encourages lively discussions, creativity, productivity, and helps us build better solutions for our clients. We want someone who thrives in this setting and is inspired to craft meaningful solutions through true collaboration.
 If you are content with ambiguity, excited by change, and excel through autonomy, we’d love to hear from you!
 Apply Now!
 #LI-IK1

Facets Data Conversion Engineer

Role Overview
 As a Senior Data Engineer / Tech Lead, you will design, develop, and optimize scalable, enterprise-grade cloud-native data platforms and pipelines on the Microsoft Azure ecosystem . You will possess deep technical ownership and be responsible for implementing modern data architectures (such as Lakehouse and Medallion architecture) . This role requires close collaboration with architects, business analysts, and downstream data consumers to translate complex business requirements into high-performing and secure data solutions.
 
Key Responsibilities
 1.Data Pipeline Design & Orchestration (ADF)
 <ul>
<li>Design, build, and maintain complex, scalable ETL/ELT pipelines using Azure Data Factory (ADF) to ingest heterogeneous data from diverse sources (APIs, SFTP, Oracle Fusion, SQL Server, Event Hubs, etc.)</li>
<li>Implement parameter-driven dynamic pipelines, custom activities, and robust scheduling triggers</li>
<li>Configure and manage Integration Runtimes (Self-Hosted and Azure IR) for secure and efficient on-premise to cloud data movement</li>
</ul>
2.Advanced Big Data Processing (Azure Databricks)
 <ul>
<li>Develop high-performance batch and real-time streaming data pipelines using Azure Databricks, PySpark, Spark SQL, or Scala</li>
<li>Implement Medallion Architecture (Bronze, Silver, and Gold layers) and maintain modern Lakehouse architectures utilizing Delta Lake</li>
<li>Optimize Spark compute usage through parameter-driven jobs, proper cluster scaling, and Databricks serverless compute configurations</li>
<li>Perform deep performance tuning, query optimization, and memory management of heavy Spark workloads</li>
</ul>
3.Data Warehousing & Modeling
 <ul>
<li>Design and refine data models including dimensional modeling, star schemas, and Slowly Changing Dimensions (SCDs)</li>
<li>Optimize databases by writing complex, performant T-SQL queries, stored procedures, and schemas on Azure SQL Database or Azure Synapse Analytics</li>
</ul>
4.Data Governance, Security & DevOps
 <ul>
<li>Enforce data governance, lineage, and access controls across the platform utilizing Unity Catalog .</li>
<li>Secure data architectures utilizing Azure Key Vault, Managed Identities, Service Principals, and VNET-integrated environments</li>
<li>Implement CI/CD pipelines using Git and Azure DevOps to automate database and pipeline deployments</li>
</ul>
5.Leadership & Collaboration
 <ul>
<li>Provide technical mentorship and guidance to junior developers and QA teams</li>
<li>Enforce engineering discipline through standard code reviews, structured pre/post-deployment validations, and thorough documentation</li>
</ul>
Required Skills & Qualifications
 <ul>
<li>Overall Experience: Minimum of 8+ years of professional experience in Data Engineering or Data Warehousing</li>
<li>Azure Experience: 4+ years of dedicated, hands-on experience designing and operating modern data platforms on Microsoft Azure</li>
<li>Programming Languages: Proficient in Python/PySpark, SQL (advanced query optimization, indexing, stored procedures), and optionally Scala</li>
<li>Core Azure Stack: Extensive knowledge of Azure Data Factory, ADLS Gen2, Azure Databricks (Delta Lake), Azure SQL Database, and Azure Synapse Analytics</li>
<li>Big Data Concepts: Robust understanding of Apache Spark architecture, distributed computing, and the Hadoop ecosystem</li>
<li>Data Integration: Strong background in CDC (Change Data Capture) mechanisms, API integrations, and event-driven data streaming (e.g., Event Hubs/Kafka)</li>
<li>Soft Skills: Excellent analytical capabilities, strong documentation skills, and the ability to articulate technical strategies to non-technical business partners</li>
</ul>
Preferred / "Good-to-Have" Qualifications
 <ul>
<li>Certifications: Microsoft Certified: Azure Data Engineer Associate (DP-203), Azure Solutions Architect Expert, or Databricks Certified Associate/Professional</li>
<li>Cloud Platforms: Exposure to multi-cloud environments (e.g., Google Cloud Platform or AWS)</li>
<li>IaC: Experience using Infrastructure as Code (IaC) tools like Terraform or ARM Templates to deploy Azure resources</li>
</ul>

Architect

About AI & Analytics: Artificial intelligence (AI) and the data it collects and analyzes will soon sit at the core of all intelligent, human-centric businesses. By decoding customer needs, preferences, and behaviors, our clients can understand exactly what services, products, and experiences their consumers need. Within AI & Analytics, we work to design the future—a future in which trial-and-error business decisions have been replaced by informed choices and data-supported strategies.
 By applying AI and data science, we help leading companies to prototype, refine, validate, and scale their AI and analytics products and delivery models. Cognizant’s AIA practice takes insights that are buried in data and provides businesses a clear way to transform how they source, interpret and consume their information. Our clients need flexible data structures and a streamlined data architecture that quickly turns data resources into informative, meaningful intelligence.
 <ul>
<li>Please note, this role is not able to offer visa transfer or sponsorship now or in the future*</li>
</ul>
Job Summary
 We are seeking an AI Architect to lead the design, development, and delivery of enterprise-scale Generative AI and agentic AI solutions on Google Cloud Platform. This role focuses on defining end-to-end AI/ML architecture strategy, building scalable LLM and multi-agent systems, and driving innovation using Vertex AI. You will play a key role in enabling intelligent automation through advanced AI frameworks while ensuring production readiness, governance, and business alignment. The position requires strong technical leadership, deep hands-on expertise, and client-facing consulting experience.
 
In this role, you will: 
<ul>
<li>Define and lead enterprise AI architecture strategy for Generative AI and agentic AI solutions on GCP.</li>
<li>Architect and implement LLM-based applications using Vertex AI services including Model Garden, Gemini API, and custom training pipelines.</li>
<li>Design and develop multi-agent AI systems using Google ADK or equivalent frameworks (LangGraph, CrewAI, AutoGen).</li>
<li>Build scalable Retrieval-Augmented Generation (RAG) pipelines using Vertex AI Search, Vector Search, and BigQuery.</li>
<li>Develop and manage LLMOps pipelines covering model versioning, evaluation, fine-tuning (SFT/RLHF/PEFT), and deployment using Vertex AI Pipelines.</li>
<li>Leverage GCP-native services (Cloud Run, GKE, Dataflow, Pub/Sub, Apigee) to design and implement AI-first platforms.</li>
<li>Provide technical leadership, mentor teams, and conduct architecture reviews ensuring governance and responsible AI practices.</li>
<li>Define reusable design patterns, best practices, and reference architectures for LLM and agentic AI solutions.</li>
<li>Collaborate with clients and stakeholders to define AI strategy, lead PoCs, solution demos, and RFP/RFI responses.</li>
<li>Drive innovation adoption by evaluating emerging AI tools, models, frameworks, and enterprise AI capabilities.</li>
</ul>
What you need to have to be considered
 <ul>
<li>15+ years of experience in AI/ML, cloud architecture, or enterprise digital transformation roles.</li>
<li>Strong hands-on expertise in Google Cloud Platform including Vertex AI, BigQuery, Dataflow, GKE, Cloud Run, Pub/Sub, and IAM.</li>
<li>Proven experience designing and delivering production-grade Generative AI and LLM-based applications.</li>
<li>Deep knowledge of RAG architectures, embeddings, vector databases, prompt engineering, and model evaluation strategies.</li>
<li>Experience building agentic AI systems using ADK or frameworks like LangGraph, CrewAI, or AutoGen.</li>
<li>Strong programming skills in Python with experience in MLOps tools (Vertex AI Pipelines, MLflow, Kubeflow).</li>
<li>Solid understanding of containerization (Docker, Kubernetes) and CI/CD pipelines.</li>
<li>Strong leadership, stakeholder engagement, and consulting experience working with enterprise clients.</li>
<li>GCP certifications (Professional Architect / ML Engineer) and experience in regulated industries are a plus.</li>
</ul>
#LI-EF1
 #CB
 #Ind123
 Applications will be accepted until 10 Jul 2026.
 
Salary and Other Compensation: 
The annual salary for this position is between $[174,500 - 204,500] depending on experience and other qualifications of the successful candidate.
 This position is also eligible for Cognizant’s discretionary annual incentive program, based on performance and subject to the terms of Cognizant’s applicable plans.
 Benefits: Cognizant offers the following benefits for this position, subject to applicable eligibility requirements:
 <ul>
<li>Medical/Dental/Vision/Life Insurance</li>
<li>Paid holidays plus Paid Time Off</li>
<li>401(k) plan and contributions</li>
<li>Long-term/Short-term Disability</li>
<li>Paid Parental Leave</li>
<li>Employee Stock Purchase Plan</li>
</ul>

Sr. AI Architect

S enior Software Engineer (Generative AI / Agentic AI)
 About the Role
 As a Senior Software Engineer , you will make an impact by designing, developing, and deploying innovative Generative AI and Agentic AI solutions that solve complex business challenges. You will be a valued member of the engineering team and work collaboratively with architects, data scientists, product owners, and cross-functional stakeholders to deliver scalable AI-powered applications.
 <ul>
<li>Please note, this role is not able to offer visa transfer or sponsorship now or in the future*</li>
</ul>
In This Role, You Will: 
Design and implement single-agent and multi-agent AI systems using frameworks such as LangChain, Semantic Kernel, CrewAI, AutoGen, or similar technologies.
 Develop and deploy applications leveraging large language models (LLMs) including Azure OpenAI, OpenAI, Anthropic, and related platforms.
 Build and optimize Retrieval-Augmented Generation (RAG) pipelines to improve response accuracy and contextual relevance.
 Enable collaboration and orchestration across multiple AI agents within complex agent ecosystems.
 Design and develop secure, scalable APIs, microservices, and distributed systems that support AI-driven solutions.
 Create evaluation frameworks to measure agent performance, including accuracy, response quality, and hallucination detection.
 Monitor system behavior, troubleshoot issues, and continuously improve reliability and operational efficiency.
 Optimize AI solutions for performance, scalability, latency, and cost effectiveness.
 Work Model
 At Cognizant, we strive to provide flexibility wherever possible and support a healthy work-life balance through our wellbeing programs. Based on this role's business requirements, this is an onsite position requiring five days per week in a Cognizant or client office in Charlotte, North Carolina .
 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 Need to Have to Be Considered
 Bachelor's or Master's degree in Computer Science, Artificial Intelligence, Machine Learning, Data Science, or a related field.
 3–8 years of experience in software engineering, application development, or data engineering.
 Hands-on experience building Generative AI or LLM-powered applications in enterprise environments.
 Experience developing APIs, microservices, or distributed systems using modern software engineering practices.
 Strong understanding of AI/ML concepts, prompt engineering, and LLM integration patterns.
 Experience implementing RAG architectures and integrating external data sources with language models.
 Proficiency in programming languages commonly used for AI application development, such as Python.
 Experience developing secure, scalable, and production-ready applications.
 These Will Help You Stand Out
 Experience working with agentic AI frameworks such as LangChain, Semantic Kernel, CrewAI, AutoGen, or similar platforms.
 Experience deploying AI solutions on cloud platforms, particularly Microsoft Azure.
 Knowledge of AI model evaluation techniques, observability frameworks, and responsible AI practices.
 Familiarity with vector databases, embeddings, and semantic search technologies.
 Experience optimizing AI workloads for performance, scalability, and operational costs.
 
Salary and Other Compensation: 
Applications will be accepted until July 15 th , 2026.
 The annual salary for this position is between $70,000 - $130,000 depending on experience and other qualifications of the successful candidate.
 This position is also eligible for Cognizant’s discretionary annual incentive program, based on performance and subject to the terms of Cognizant’s applicable plans.
 Benefits: Cognizant offers the following benefits for this position, subject to applicable eligibility requirements:
 <ul>
<li>Medical/Dental/Vision/Life Insurance</li>
<li>Paid holidays plus Paid Time Off</li>
<li>401(k) plan and contributions</li>
<li>Long-term/Short-term Disability</li>
<li>Paid Parental Leave</li>
<li>Employee Stock Purchase Plan</li>
</ul>
Disclaimer: The salary, other compensation, and benefits 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.

Senior Software Engineer (Generative AI / Agentic AI)

WE ARE
 Cognizant’s AI Market Unit sits at the intersection of strategy consulting, AI innovation, and enterprise technology services. We design and execute AI-driven reinventions that allow organizations to realize exceptional business value from artificial intelligence. Our mission is to help C-suite executives harness AI as a force to disrupt their industries, capture market share, and unlock sustainable growth.
 We combine deep industry expertise with hands-on AI capability—spanning agentic architectures, GenAI, and enterprise ML—to build differentiated offerings that move from concept to commercial impact at speed. We are trusted advisors who shape technology’s role in business strategy, not just its implementation.
 YOU ARE
 A strategy-first thinker who thrives at the intersection of AI capability and business opportunity. You have a consulting mindset: you instinctively structure problems, build hypotheses, pressure-test assumptions, and drive toward actionable recommendations backed by data. You combine strategic rigor with genuine AI literacy—you can articulate how an AI offering solves a specific industry problem and work with engineers and SMEs to ensure the value proposition is technically grounded.
 You are energized by shaping offerings that don’t exist yet, by turning market signals and client pain into structured, commercially strong propositions. You are a natural collaborator who can lead cross-functional discussions across service lines, industry teams, and offering leads to build consensus and drive decisions. You thrive in fast-moving environments where the work is high-visibility and directly tied to Cognizant’s AI growth agenda.
 ABOUT THE ROLE
 The Senior AI Strategist plays a pivotal role in shaping Cognizant’s AI portfolio by designing high-impact AI offerings, building compelling value propositions, and driving offering readiness across the AI Market Unit. This is a strategy and offering development role—you will own the journey from market opportunity identification through offering design, prioritization, and go-to-market enablement.
 You will work closely with offering leads, subject matter experts, Cognizant service lines, and industry teams to lead offering discussions, align stakeholders, and ensure offerings are commercially differentiated and delivery-ready. When offerings are brought to clients, you will help prepare client-facing materials and support presentations alongside the account and industry teams.
 IN THIS ROLE, YOU WILL
 Offering Strategy & Design
 <ul>
<li>Lead the design and development of AI-led offerings by synthesizing market signals, competitive intelligence, industry trends, and client demand into structured, commercially viable propositions</li>
<li>Conduct industry-specific opportunity assessments using frameworks including TAM analysis, competitive landscape mapping, client demand validation, and delivery-readiness scoring</li>
<li>Define offering roadmaps and prioritization tiers (Launch Ready, In Progress, Early Stage) to guide investment decisions and resource allocation across the AI portfolio</li>
<li>Build business cases and value narratives that quantify the impact of AI offerings for target industries (banking, healthcare payer, life sciences, and beyond)</li>
<li>Own the offering bill of materials—ensuring each offering has clearly defined scope, differentiators, delivery model, pricing guidance, and proof points</li>
</ul>
Cross-Functional Offering Leadership
 <ul>
<li>Lead offering discussions and workshops across Cognizant service lines, industry verticals, and technology teams to align on offering positioning, scope, and go-to-market approach</li>
<li>Partner with offering leads and subject matter experts to translate technical AI capabilities into business-oriented value propositions that resonate with industry buyers</li>
<li>Coordinate with industry teams to ensure offerings are tailored to vertical-specific pain points, regulatory contexts, and competitive dynamics</li>
<li>Drive stakeholder alignment across multiple functions—bridging the gap between engineering, delivery, industry, and commercial teams to move offerings from concept to market</li>
<li>Facilitate prioritization and trade-off discussions with senior leadership, using data-driven frameworks to support portfolio investment decisions</li>
</ul>
Client Enablement & Presentation Support
 <ul>
<li>Develop executive-ready offering decks, one-pagers, battlecards, and presentation materials that articulate AI offering value in client-facing contexts</li>
<li>Support account and industry teams in preparing for client meetings by tailoring offering narratives to specific client challenges and industry contexts</li>
<li>Present AI offerings to clients alongside account teams and offering leads when needed, articulating differentiation and business impact with clarity</li>
<li>Pressure-test offering assumptions and AI-generated insights using critical judgment, domain knowledge, and rigorous analysis before they reach clients</li>
</ul>
Thought Leadership & Market Intelligence
 <ul>
<li>Lead the creation of thought leadership assets—white papers, point-of-view documents, industry briefs—that establish Cognizant’s position as a leading AI strategy advisor</li>
<li>Monitor and synthesize emerging AI trends, competitive moves, and regulatory developments to inform offering strategy and portfolio direction</li>
<li>Contribute to internal knowledge capital by codifying frameworks, methodologies, and reusable IP that accelerate future offering development</li>
<li>Build and maintain a competitive intelligence view of how peers (Accenture, Deloitte, IBM, Capgemini) are positioning their AI offerings</li>
</ul>
REQUIRED QUALIFICATIONS
 <ul>
<li>7+ years of experience in strategy consulting, technology strategy, AI/digital advisory, or offering/product strategy at a consulting firm, professional services organization, or technology company</li>
<li>Demonstrated experience designing and developing technology or AI offerings, including defining value propositions, building business cases, and creating go-to-market materials</li>
<li>Proven ability to lead cross-functional discussions and drive alignment across diverse stakeholder groups (engineering, delivery, industry, commercial)</li>
<li>Strong analytical skills with experience conducting market assessments, competitive analysis, and quantitative modeling to inform strategic decisions</li>
<li>Track record of developing executive-ready presentations, offering decks, and thought leadership content for senior audiences</li>
<li>Strong understanding of the AI/ML landscape including GenAI, agentic AI, LLMs, and enterprise AI platforms</li>
<li>Excellent communication and facilitation skills—able to synthesize complex technical concepts into clear business narratives</li>
<li>3+ years of experience managing or mentoring team members and structuring analytical workstreams</li>
<li>Bachelor’s degree required</li>
</ul>
WHAT WILL HELP YOU STAND OUT
 <ul>
<li>MBA or equivalent graduate degree from a top-tier program</li>
<li>Prior experience at a Big 4, MBB, or Tier 1 technology strategy or offering development practice</li>
<li>Deep domain expertise in one or more priority industries: banking & capital markets, healthcare payer, or life sciences</li>
<li>Experience with GTM strategy, offering launch, or product management in a B2B enterprise context</li>
<li>Exposure to hyperscaler ecosystems (AWS, Azure, GCP) and AI platform partner models</li>
<li>Track record of published thought leadership (articles, speaking engagements, industry reports)</li>
<li>Ability to evaluate AI-generated outputs critically, with an understanding of data limitations, model risk, and bias</li>
<li>Familiarity with offering lifecycle frameworks, RACI models, and portfolio prioritization methodologies</li>
</ul>
Salary and Other Compensation : 
Applications will be accepted until July 31, 2026.
 The annual base salary for this position is between $175,000 - $210,000 depending on experience and other qualifications of the successful candidate.
 This position is also eligible for Cognizant’s discretionary annual incentive program, based on performance and subject to the terms of Cognizant’s applicable plans.
 Benefits : Cognizant offers the following benefits for this position, subject to applicable eligibility requirements:
 Medical/Dental/Vision/Life Insurance
 Paid holidays plus Paid Time Off
 401(k) plan and contributions
 Long-term/Short-term Disability
 Paid Parental Leave
 Employee Stock Purchase Plan
 Disclaimer: The salary, other compensation, and benefits 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.

Senior AI Strategist

The posted job opening may be for a Temporary Fixed Term period of time. If the selected applicant is hired as a Temporary Fixed Term employee/associate, their employment with Cognizant will typically be for a period of six to nine months. Any extensions to the temporary employee’s employment period will be solely at the discretion of Cognizant Technology Solutions. About the role
 As a Gen AI Architect , you will make an impact by designing and implementing end-to-end artificial intelligence and machine learning solutions that support safe, scalable, and compliant medical device products. You will be a valued member of the AI and data engineering team and work collaboratively with data scientists, engineers, and compliance stakeholders to deliver innovative solutions that meet regulatory and clinical standards. In this role, you will:
 Design end-to-end machine learning architectures using AWS AI/ML services and MLOps practices for scalable and secure medical device applications
 Develop reusable MLflow-based frameworks for experiment tracking, model versioning, and governance across projects
 Build automated ML pipelines using AWS CodePipeline and related services to enable CI/CD for machine learning models
 Collaborate with cross-functional teams to translate AI/ML concepts into production-ready solutions aligned with regulatory requirements
 Define standards for data ingestion, feature engineering, and model serving to meet performance, reliability, and compliance goals
 Optimize deployment of generative AI and traditional ML models on AWS, balancing cost, scalability, and compliance
 Implement monitoring strategies for model drift, data drift, and system performance using MLOps tools
 Document architectures, decisions, and operational processes to support audits and regulatory reviews
 Partner with compliance and quality teams to ensure traceability, validation, and risk management in medical device AI solutions
 Promote secure coding and data protection practices for sensitive healthcare data
 Review and enhance existing AI/ML solutions to improve scalability, reliability, and clinical safety
 Support modernization of legacy systems into AI-driven solutions for improved clinical outcomes
 Advise stakeholders on how AI and ML capabilities can enhance medical device offerings responsibly Work model
 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 3 days a week in a Cognizant office or client location in Chicago, IL. 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 need to have to be considered:
 9–12 years of experience in AI/ML engineering, solution architecture, or data science
 Strong hands-on experience with AWS machine learning services and cloud-native architecture design
 Proven expertise in MLOps practices, including MLflow, model lifecycle management, and governance
 Experience implementing CI/CD pipelines for ML using AWS CodePipeline or similar tools
 Deep understanding of machine learning concepts, including model development, evaluation, and feature engineering
 Hands-on experience with generative AI techniques and frameworks
 Experience working in regulated environments, preferably in medical devices or healthcare
 Strong understanding of data security, compliance, and privacy standards
 Ability to communicate effectively with both technical and non-technical stakeholders These will help you stand out:
 Experience delivering audit-ready, compliant AI/ML solutions in the medical device domain
 Familiarity with regulatory frameworks and validation processes for healthcare technologies
 Strong knowledge of responsible AI practices and risk mitigation strategies
 Experience designing highly scalable, secure cloud architectures for sensitive data
 Ability to bridge innovation with compliance in complex enterprise environments Salary and Other Compensation:
 Applications will be accepted until July 2, 2026 .
 The hourly salary for this position is between $88/hr - $100/hr depending on experience and other qualifications of the successful candidate.
 This position is also eligible for Cognizant’s discretionary annual incentive program, based on performance and subject to the terms of Cognizant’s applicable plans.
 Benefits: Cognizant offers the following benefits for this position, subject to applicable eligibility requirements:
 
Medical/Dental/Life Insurance
 
Long-term/Short-term Disability
 Employee Stock Purchase Plan
 Disclaimer: The salary, other compensation, and benefits 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.

Gen AI Architect

Join Cognizant and explore 25   exciting career opportunities. They're hiring for various roles with options for remote or on-site work. Apply today and become part of their innovative team.