AWS AI Platform Strategist

Cognizant

Confirmed live today High trust
Remote

Quick summary

Work type
Remote
Location
Boston, MA
Salary
$80,000–$180,000 / yr
Posted
12 days ago
Freshness
Confirmed live today

Market check

Salary context

Below market

How this pay compares to similar roles

Similar $190k
This role $130k
$63k $243k
below market most similar roles pay here above market

This role pays less than 92% of similar roles. Most pay $155,000–$224,562 — the blue band above. At the midpoint, this role pays about $130k versus about $190k for comparable roles.

Based on 240 similar postings.

Employer

About Cognizant

Cognizant is a multinational IT services and consulting company offering digital transformation, technology, and business process services. It serves clients across financial services, healthcare, manufacturing, and other industries worldwide.

Cognizant currently has 330 open roles on FindRole.

Listed pay typically runs $100,000–$135,000 across 211 roles with salary data.

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At a glance

TL;DR · AWS AI Platform Strategist

The AWS AI Platform Strategist is responsible for defining the enterprise AI platform vision, strategy, and roadmap on AWS. This role serves as a bridge between business leadership, data teams, and cloud engineering to design a scalable, secure, and governed AI ecosystem. The strategist will assess current capabilities, define future-state architectures, and develop implementation roadmaps for Generative AI, Agentic AI, and advanced analytics. Key responsibilities include establishing governance frameworks, managing model lifecycles, and prioritizing use cases. The position requires expertise in AWS services including Amazon Bedrock, SageMaker, Glue, EMR, Redshift, OpenSearch, Kendra, EKS, Lambda, and Step Functions. Candidates must understand MLOps, LLMOps, RAG frameworks, and vector databases to solve complex technical problems within highly regulated industries like healthcare and life sciences.

What you'll do

  • Define the enterprise AI platform vision, target operating model, and multi-year roadmaps aligned to business objectives.
  • Design target-state AI architectures leveraging AWS services for Generative AI, Agentic AI, and Machine Learning.
  • Establish AI governance frameworks, operational controls, and policies for responsible AI, data privacy, and security.
  • Develop platform services including prompt management, model catalogs, feature stores, and RAG frameworks.
  • Create frameworks for intake, assessment, and value-based scoring to prioritize AI opportunities and use cases.
  • Define organizational structures, AI Centers of Excellence, and talent-building strategies to drive platform adoption.
  • Advise executive stakeholders on AI investments, architecture recommendations, and measurable business outcomes.

What we're looking for

  • 10+ years of experience in enterprise architecture, cloud strategy, data strategy, AI strategy, or digital transformation.
  • 5+ years of experience working with AWS cloud technologies.
  • Experience designing enterprise AI or data platforms.
  • Strong understanding of Generative AI, Agentic AI, Machine Learning, Data Platforms, MLOps, LLMOps, and Cloud-Native Architectures.
  • Experience developing executive-level roadmaps and business cases.
  • Strong communication and stakeholder management skills.
  • AWS Certified Solutions Architect Professional, Machine Learning Specialty, Data Engineer, or AI Practitioner (preferred).
  • Experience in Healthcare, Payer, Provider, Life Sciences, or highly regulated industries (preferred).

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