Consulting Manager - AI Engineer– 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.

As a Consulting Manager - Artificial Intelligence (AI) Engineer– Insurance & Retirement
, you will design and guide 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.

• 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.

• 7-10 years in software engineering and/or architecture, with strong experience designing cloud-native applications (AWS, Azure, or Google Cloud Platform), microservices, APIs, and modern Dev Ops 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.

• 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.

• $81,500 – $129,000

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

• 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