AWS AI Platform Strategist (Remote)

Position Summary The AI Platform Strategist is responsible for defining and driving the enterprise AI platform vision, strategy, and roadmap on AWS. This role serves as the bridge between business leadership, data teams, cloud engineering, architecture, and AI practitioners to design a scalable, secure, and governed AI ecosystem that accelerates innovation and business value. The strategist leads platform planning activities, assesses current-state AI and data capabilities, defines future-state architectures, establishes governance frameworks, and develops implementation roadmaps for AI, Generative AI, Agentic AI, and advanced analytics solutions built on AWS. Key Responsibilities AI Platform Strategy & Roadmap Define the enterprise AI platform vision and target operating model.Develop multi-year AI platform roadmaps aligned to business and technology objectives.Assess current AI, data, analytics, and cloud capabilities.Identify platform gaps, dependencies, and modernization priorities.Establish phased implementation plans and investment recommendations. AWS AI & Data Architecture Strategy Define target-state AI platform architecture leveraging AWS services.Develop architecture patterns for:Generative AIAgentic AIMachine LearningData Science WorkbenchesModel Lifecycle ManagementAI Application DevelopmentEstablish design principles for scalability, interoperability, security, and reusability.Guide integration of AI capabilities with enterprise applications and business workflows. AI Services & Platform Capability Development Lead Strategy For Platform Capabilities Including Amazon BedrockAmazon SageMakerAWS GlueAmazon EMRAmazon RedshiftAmazon OpenSearchAmazon KendraAmazon EKSAWS LambdaAWS Step Functions Define Platform Services Such As Prompt ManagementModel CatalogsFeature StoresVector DatabasesRAG FrameworksAgent OrchestrationMLOpsLLMOpsAPI ManagementAI Monitoring and Observability AI Governance & Responsible AI Define AI governance frameworks and operational controls.Establish model governance and lifecycle management processes.Create policies for:Responsible AIData PrivacySecurityComplianceRisk ManagementDefine AI guardrails and human-in-the-loop review processes.Align platform capabilities with industry and regulatory requirements. Demand Management & Use Case Prioritization Design frameworks for intake, assessment, and prioritization of AI opportunities.Create value-based scoring methodologies.Align business demand with platform capabilities and implementation capacity.Develop repeatable processes for onboarding new AI use cases.Maintain enterprise AI opportunity portfolios and roadmaps. Operating Model & Organizational Readiness Define AI platform ownership and organizational structures.Establish AI Centers of Excellence (CoE).Develop platform support and service models.Recommend talent, skills, and capability-building strategies.Drive adoption and change management initiatives. Executive Advisory Advise executive stakeholders on AI platform investments and priorities.Present AI strategy, architecture, and roadmap recommendations.Develop board-level and executive business cases.Align platform initiatives to measurable business outcomes and ROI. Required Qualifications 10+ years of experience in enterprise architecture, cloud strategy, data strategy, AI strategy, or digital transformation.5+ years working with AWS cloud technologies.Experience designing enterprise AI or data platforms.Strong understanding of:Generative AIAgentic AIMachine LearningData PlatformsMLOps and LLMOpsCloud-Native ArchitecturesExperience developing executive-level roadmaps and business cases.Strong communication and stakeholder management skills. Preferred Qualifications AWS Certifications AWS Certified Solutions Architect ProfessionalAWS Certified Machine Learning SpecialtyAWS Certified Data EngineerAWS Certified AI Practitioner Industry Experience HealthcarePayerProviderLife SciencesHighly regulated industries Additional Experience DatabricksSnowflakeCollibraInformaticaData Governance PlatformsAI Governance Platforms Key Deliverables Enterprise AI Platform StrategyAWS AI Reference ArchitectureAI Capability AssessmentAI Maturity AssessmentPlatform Roadmap (12-36 Months)AI Governance FrameworkResponsible AI FrameworkAI Operating ModelUse Case Prioritization FrameworkAI Service CatalogMLOps/LLMOps Strategy Business Value Realization Framework 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. Salary And Other Compensation Applications will be accepted until Nov 15, 2026. The annual salary for this position is between $80,000 - $180,000 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 InsurancePaid holidays plus Paid Time Off401(k) plan and contributionsLong-term/Short-term DisabilityPaid Parental LeaveEmployee 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.