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Senior Consulting Manager, AI Architect

00069225251

Artificial Intelligence (AI) Technical Architect – Insurance & Retirement

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 an Artificial Intelligence (AI) Technical Architect – Insurance & Retirement, you will make an impact by designing and guiding the delivery of secure, scalable AI-powered applications that solve complex business problems for insurance and retirement clients. You will be a valued member of the Insurance & Retirement Consulting team and work collaboratively with product leaders, data and engineering teams, enterprise architects, and client stakeholders to move AI solutions from concept to production.

In this role, you will:

  • Lead end-to-end AI solution architecture for custom applications—creating solution blueprints, reference architectures, and detailed designs that connect models, data pipelines, application layers, and integrations.
  • Define AI platform and model strategy by selecting appropriate approaches (machine learning, generative AI, large language models), orchestration patterns, inference strategies, and lifecycle management that meet enterprise standards.
  • Architect data and integration patterns for AI use cases, including ingestion, feature engineering, training pipelines, and real-time/batch inference—integrated with core systems through APIs and event-driven approaches.
  • Ensure enterprise alignment across cloud, security, and compliance by partnering with infrastructure and security teams to meet non-functional requirements (scalability, resiliency, privacy, cost efficiency).
  • Provide senior technical leadership through delivery—advising stakeholders, guiding engineering teams, reviewing designs, and resolving complex architectural challenges to ensure successful production rollout.

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 position requires 2-3 days a week in a client office in Newark, NJ. Regardless of your working arrangement, we are here to support a healthy work-life balance though 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

  • 8+ years in software engineering and/or architecture, with strong experience designing cloud-native applications (AWS, Azure, or Google Cloud Platform), microservices, APIs, and modern DevOps practices.
  • Hands-on experience designing and implementing AI solutions, including machine learning and generative AI/large language model solutions, with practical model orchestration patterns.
  • Experience designing machine learning operations (MLOps) approaches for model training, evaluation, deployment, monitoring, and continuous improvement in production environments.
  • Strong data architecture knowledge (data lakes/warehouses, streaming, feature stores, vector databases) and ability to design robust data flows for AI use cases.
  • Proven consulting skills: ability to translate ambiguous business needs into clear technical architectures, influence senior stakeholders, and communicate trade-offs to technical and non-technical audiences.

These will help you succeed

  • Experience delivering solutions in life insurance and/or retirement (industry value chain, data considerations, and regulatory constraints).
  • Exposure to emerging enterprise AI patterns such as agentic AI, AI copilots, and retrieval-augmented generation (RAG).
  • Master’s degree in Computer Science, Engineering, Data Science, or a related field.
  • Strong familiarity with enterprise security, privacy, and governance expectations for AI solutions.
  • Track record of building reusable accelerators, best practices, and reference architectures that improve delivery speed and quality.

We're excited to meet people who share our mission and can make an impact in a variety of ways. Don't hesitate to apply, even if you only meet the minimum requirements listed. Think about your transferable experiences and unique skills that make you stand out as someone who can bring new and exciting things to this role.

Compensation

  • $134,500 – $158,500
  • This position is eligible for Cognizant’s discretionary annual incentive program, based on performance and subject to the terms of Cognizant’s applicable plans

Benefits

  • Medical, dental, vision and life insurance
  • 401(k) plan and contributions
  • Employee stock purchase plan
  • Employee assistance program
  • 10 paid holidays plus PTO
  • Paid parental leave and fertility assistance
  • Learning and development certifications and programs

Post closing date

Applications will be accepted until June 12, 2026.


What we offer

  • The chance to work with impact. Here, you’re empowered to bring your biggest thinking to help our company and clients improve everyday life.
  • Ownership over your career. Stay at the top of your game through our award-winning learning and development ecosystem. And when your ambitions change or we offer new opportunities, we help you pivot by providing reskilling, on-the-job learning and guidance to find new roles that might be a better fit.
  • The opportunity to thrive on a high caliber team with heart. We celebrate each other’s experiences and perspectives and promote a sense of belonging through our affinity groups and diversity and inclusion initiatives.
  • A comprehensive total rewards package, including a competitive salary and a pension plan with matching contributions.
  • Flexible health and financial benefits to support you and your eligible dependents—from day one.
  • True work-life balance. Be at your best through paid time off, flexible work arrangements, volunteering opportunities, social events, and so much more.  

About us
Cognizant (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.

Other employment-related information
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, provincial 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] with your request and contact information.

Language requirements vary depending on roles, but we ask that all candidates have basic English proficiency for company-wide communications purposes. For roles based in Quebec, professional English proficiency is required, as you’ll deliver services to and collaborate with stakeholders outside the province who may not speak French.

Your path to Cognizant

Wondering what to expect after you apply? Here’s a peek at our recruitment process—and keep in mind that not all candidates advance through every step and the process may vary depending on your role and location.

Your Application Midnight Blue RGB

Step 1: Application

Find an open role that aligns with your skills and career goals and show us why you’re the person for the job. Consider joining our Talent Community if you don’t find the right opportunity.

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Step 2: Recruiter call

If one of our recruiters sees a fit, they’ll set up a short introductory call to learn more about you and how your experiences and skills align with the role.

Step 3: Interview(s)

If you and our team would like to continue the process, you’ll meet with one of our hiring managers. Some roles may also require technical assessments and/or client interviews.

Step 4: Final decision

Our hiring team will then review each candidates’ potential to succeed in the role. This process may take some time because we want to get it right—but you can count on us to keep you updated.

Benefits that help you thrive and grow

Our teams achieve incredible things when they feel fully supported. That’s why our benefits program is built around the diverse needs of our people—so they can enjoy a fulfilling, balanced and healthy life.

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Financial wellbeing

Financial wellbeing

We regularly review market data to ensure compensation is competitive and reflects the value you bring. Your benefits extend beyond pay and may include retirement plans, financial education, discount programs, etc.

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Physical and mental wellbeing

Physical and mental wellbeing

We empower you to prioritize your wellbeing through paid time off, flexible working where possible, healthcare plans, counselling, our Mental Health Allyship program and more. 

Your Career, Your Way
Your career, your way

Your career, your way

With 90% of our associates building skills through GenAI training, job shadowing, industry certifications and more, you have everything you need to build a full career.

Professionals
Real-world impact

Real-world impact

Think about the biggest brands you rely on. Chances are, they rely on us to help strengthen their business. Here, you’ll turn bold ideas into solutions that improve lives everywhere.

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