AWS AI Platform Strategist: Enterprise Roadmap & Governance

Cognizant; Boston (MA); Remote; USD 80,000 - 180,000; Full time

Job summary

Cognizant is seeking an AI Platform Strategist to define and drive enterprise AI platform vision, strategy, and AWS-based roadmaps. You will bridge business leadership, data teams, cloud engineering, and AI practitioners to build a scalable, governed AI ecosystem that accelerates value creation.

You will lead architecture, governance, and capability development across services like Bedrock, SageMaker, OpenSearch, and MLOps, ensuring secure, compliant, and reusable patterns.

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 AI, Agentic AI, Machine Learning, Data Platforms, MLOps and LLMOps.
• Experience developing executive-level roadmaps and business cases.
• Strong communication and stakeholder management skills.

Responsibilities

• 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.
• Define target-state AI platform architecture leveraging AWS services.
• Develop architecture patterns for Generative AI, Agentic AI, ML, Data Science Workbenches, and Model Lifecycle Management.
• Establish design principles for scalability, interoperability, security, and reusability.
• Guide integration of AI capabilities with enterprise applications and business workflows.
• Lead strategy for platform capabilities including Bedrock, SageMaker, Glue, EMR, Redshift, OpenSearch, Kendra, EKS, Lambda, Step Functions.
• Define platform services such as Prompt Management, Model Catalogs, Feature Stores, Vector Databases, RAG Frameworks, Agent Orchestration, MLOps, LLMOps, API Management, AI Monitoring.
• Define AI governance frameworks and operational controls.
• Establish model governance and lifecycle management processes.
• Create policies for Responsible AI, Data Privacy, Security, Compliance, Risk Management.
• Define AI guardrails and human-in-the-loop review processes.
• Align platform capabilities with industry and regulatory requirements.
• Design intake, assessment, and prioritization frameworks for AI opportunities.
• Create value-based scoring methodologies.
• Align business demand with platform capabilities.
• Develop repeatable processes for onboarding new AI use cases.
• Maintain enterprise AI opportunity portfolios and roadmaps.
• 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.
• 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.

Skills

Enterprise architecture

AWS cloud technologies

AI strategy

Communication & Stakeholders

Executive roadmaps & business cases

Cloud-native architectures

Job description

Cognizant is seeking an AI Platform Strategist to define and drive enterprise AI platform vision, strategy, and AWS-based roadmaps. You will bridge business leadership, data teams, cloud engineering, and AI practitioners to build a scalable, governed AI ecosystem that accelerates value creation.

You will lead architecture, governance, and capability development across services like Bedrock, SageMaker, OpenSearch, and MLOps, ensuring secure, compliant, and reusable patterns.