AI Forward Deployed Engineer

Cognizant

Confirmed live today High trust

Remote

Quick summary

Work type: Remote
Location: New York, NY
Posted: 4 days ago
Freshness: Confirmed live today
Nearby: 99+ roles within 25 mi

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Salary context

How this pay compares to similar roles

Similar $191k

$139k $241k

below market most similar roles pay here above market

This listing doesn't post a salary. Most similar roles pay $152,000–$229,425.

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 408 open roles on FindRole.

Listed pay typically runs $100,000–$135,000 across 266 roles with salary data.

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At a glance

TL;DR · AI Forward Deployed Engineer

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As an AI Forward Deployed Engineer on the Cognizant Consulting team, you will partner directly with clients to design, build, and deploy innovative AI, data, cloud, and digital solutions. You will serve as a trusted technical advisor, leading discovery workshops and technical assessments to translate business objectives into scalable solution architectures. Your daily responsibilities include developing cloud-native applications, APIs, microservices, and enterprise integrations. You will specifically build Generative AI, Agentic AI, machine learning, and Retrieval-Augmented Generation solutions, including AI copilots and autonomous agents. Required skills include proficiency in Python, Java, C#, JavaScript/TypeScript, or Go, alongside experience with Azure, AWS, or Google Cloud Platform, Docker, Kubernetes, and CI/CD pipelines. You will solve complex digital transformation problems by delivering production-ready enterprise knowledge management platforms.

Skills

Python Java C# JavaScript TypeScript Go Azure AWS Google Cloud Platform Docker Kubernetes CI/CD LangChain LangGraph Semantic Kernel RAG Vector Databases knowledge graph s Machine Learning APIs Microservices

What you'll do

Partner with client stakeholders to identify business objectives, operational challenges, and technical requirements.
Lead discovery workshops and technical assessments to create scalable solution architectures and implementation roadmaps.
Design, develop, and deploy cloud-native applications, APIs, microservices, and enterprise integrations.
Build and implement Generative AI, Agentic AI, machine learning, and Retrieval-Augmented Generation (RAG) solutions.
Own technical delivery for client-facing initiatives to ensure production readiness and measurable business outcomes.
Translate complex business needs into production-ready technical solutions across various industries.

What we're looking for

Bachelor's or Master's degree in Computer Science, Engineering, Information Systems, or a related field.
5+ years of experience in software engineering, solution architecture, technical consulting, customer-facing engineering, or similar roles.
Strong programming expertise in one or more languages such as Python, Java, C#, JavaScript/TypeScript, or Go.
Experience developing cloud-native solutions on Azure, AWS, or Google Cloud Platform, including APIs, microservices, CI/CD pipelines, Docker, and Kubernetes.
Strong understanding of software architecture, enterprise integrations, stakeholder management, and client-facing consulting engagements.
Experience translating business requirements into scalable technical solutions and driving projects from concept through production deployment.
Experience deploying Generative AI, Agentic AI, machine learning, or advanced analytics solutions in enterprise environments (preferred).
Hands-on experience with LLM platforms, AI frameworks, orchestration platforms, and RAG architectures (preferred).

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