AI and Azure Lead

Cognizant

Confirmed live 2 days ago High trust

Quick summary

Work type: On-site
Location: Washington, DC
Salary: $80,000–$170,000 / yr
Posted: 12 days ago
Freshness: Confirmed live 2 days ago
Nearby: 99+ roles within 25 mi

Market check

Salary context

Below market

How this pay compares to similar roles

Similar $180k

This role $125k

$63k $242k

below market most similar roles pay here above market

This role pays less than 91% of similar roles. Most pay $148,467–$212,450 — the blue band above. At the midpoint, this role pays about $125k versus about $180k 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.

Most-posted roles

View all roles at Cognizant

At a glance

TL;DR · AI and Azure Lead

Role Posting Log in to save

The AI and Azure Lead will join the team to lead enterprise architecture and cloud transformation initiatives. The role involves conducting market research on emerging AI platforms, foundation models, and orchestration frameworks while analyzing vendor offerings for security and regulatory compliance. Key responsibilities include designing end-to-end solution architectures using Microsoft Azure services, defining patterns for cloud-native applications, and integrating GenAI agents into back-end codebases and data pipelines. The successful candidate will ensure production readiness by managing error handling, idempotency, and monitoring. Required technical skills include proficiency in FastAPI, CI/CD pipelines, and Git-based version control. The position focuses on solving complex enterprise problems by scaling proof-of-concepts into production environments while mentoring development teams on modern cloud and AI architecture practices within an Agile framework.

Skills

Microsoft Azure GenAI FastAPI CI/CD Git APIs Data Pipelines Solution Architecture Cloud-native Agile Observability Enterprise Architecture Software Development Lifecycle Production Engineering

What you'll do

Conduct market research on emerging AI platforms, foundation models, and enterprise AI products.
Analyze vendor offerings, market trends, and security considerations against business requirements.
Design end-to-end solution architectures leveraging Microsoft Azure services.
Define architecture patterns for AI, cloud-native applications, APIs, and data platforms.
Develop architecture artifacts, design documents, and implementation roadmaps.
Integrate GenAI agents into back-end codebases, APIs, and data pipelines.
Ensure production readiness by implementing error handling, retries, logging, and monitoring.
Mentor development teams on modern cloud and AI architecture practices.

What we're looking for

Bachelor’s degree or Master’s degree in computer science, software engineering, or a related field.
Minimum 10 years of experience in software engineering and solution architecture.
Minimum 5 years of experience designing enterprise solutions on Microsoft Azure.
Demonstrated experience evaluating emerging technologies and conducting technical market assessments.
Proven track record of delivering proof-of-concepts and scaling them into production environments.
Experience leading enterprise architecture and cloud transformation initiatives in complex organizations.
Proficiency in building APIs using FastAPI or similar frameworks.
Experience with CI/CD pipelines and Git-based version control workflows.

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