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 Consulting Manager - 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
At Cognizant, we strive to provide flexibility wherever possible, and we are here to support a healthy work-life balance through our various wellbeing programs. Based on this role’s business requirements, this is a remote position. 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.
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
- 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 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 – This section is mandatory for specific states where this is law mandated
- $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
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 23, 2026.
コグニザントについて
コグニザント（NASDAQ: CTSH）は、AI Builderおよびテクノロジーサービスプロバイダーとして、お客様にフルスタックのAIソリューションを構築することで、AI投資と企業価値を結ぶ架け橋となっています。業界、ビジネスプロセス、エンジニアリングに関する当社の深い専門知識を活かし、組織固有のビジネス環境をテクノロジー・システムに組み込みます。これにより、人間の可能性を最大限に引き出し、確かな成果を実現するとともに、急速に変化する世界においてグローバル企業が常に一歩先を行くための支援を行っています。 詳細については、cognizant.ai をご覧ください。
雇用に関する追加情報
本募集に記載されている報酬情報は、掲載日時点で正確なものです。Cognizantは、適用される法令に従い、いつでも本情報を変更する権利を留保します。
応募者は、対面またはビデオ会議による面接への参加を求められる場合があります。また、各面接の際に、現在有効な州政府または政府発行の身分証明書の提示を求められる場合があります。
Cognizantは機会均等雇用主です。応募および選考において、人種、肌の色、性別、宗教、信条、性的指向、性自認、国籍、障がい、遺伝情報、妊娠、退役軍人の地位、その他連邦法・州法・地方自治体の法律により保護されるいかなる特性に基づく差別も行いません。
