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.
À propos de Cognizant
Cognizant (NASDAQ : CTSH) est un AI Builder et une entreprise de services numériques (ESN) élaborant des solutions complètes d’IA maximisant les investissements pour des résultats concrets. Sa profonde expertise des métiers, des processus et des technologies lui permet d’intégrer dans les systèmes technologiques le contexte unique de chaque organisation de l’ingénierie à la production à l’échelle. Son objectif : améliorer l’efficacité des équipes, créer de la valeur et permettre aux grandes entreprises de rester performantes dans un monde qui évolue rapidement. Pour en savoir plus : cognizant.ai ou @cognizant.
Renseignments suppplémentaires sur l'emploi
Les informations sur la rémunération sont exactes à la date de publication. Cognizant se réserve le droit de modifier ces informations à tout moment, conformément aux lois applicables.
Les exigences linguistiques varient selon les postes, mais nous demandons à tous les candidats d’avoir une connaissance de base de l’anglais afin de faciliter les communications internes à l’échelle de l’entreprise. Pour les postes basés au Québec, une maîtrise de l’anglais est requise puisque vous fournirez des services et collaborerez avec des parties prenantes situées hors de la province, qui ne parlent pas nécessairement le français.
Cognizant est un employeur souscrivant au principe de l’égalité d’accès à l’emploi. Votre candidature et votre dossier ne seront pas examinés en fonction de la race, de la couleur, du sexe, de la religion, des croyances, de l'orientation sexuelle, de l'identité de genre, de l'origine nationale, du handicap, de l'information génétique, de la grossesse, du statut d'ancien combattant ou de toute autre caractéristique protégée telle que décrite par les lois fédérales, provinciales ou locales.
Si vous avez un handicap qui nécessite un aménagement raisonnable pour rechercher une offre d'emploi ou poser une candidature, envoyiez un courriel à [email protected] avec votre demande et vos coordonnées.
