AI Forward Deployed Engineer

Cognizant; New York (NY); Remote; USD 130,000 - 159,000; Full time

Benefits offered by this job

Medical, dental, vision

401(k) with company match

Employee Stock Purchase Plan (ESPP)

Paid holidays and PTO

Learning and development programs

Job summary

Cognizant is seeking a Forward Deployed Engineer in the United States to partner with clients, rapidly design and deploy AI, data, cloud, and digital solutions. You will act as a trusted technical advisor across AI, cloud, and enterprise integrations, influencing architecture and delivery.

You will lead workshops, translate requirements into scalable roadmaps, and own delivery across client initiatives, with focus on measurable business outcomes.

Qualifications

• 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 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.

Responsibilities

• Partner directly with client stakeholders to understand business objectives, operational challenges, and technical requirements while serving as a trusted technical advisor.
• Lead discovery workshops, technical assessments, and solution envisioning sessions to translate business needs into scalable solution architectures and implementation roadmaps.
• Design, develop, and deploy cloud-native applications, APIs, microservices, and enterprise integrations that accelerate time-to-value.
• Build and implement Generative AI, Agentic AI, machine learning, and Retrieval-Augmented Generation (RAG) solutions, including AI copilots, intelligent workflows, and autonomous agents.
• Own technical delivery across client-facing initiatives, driving rapid iteration, production readiness, adoption, and measurable business outcomes.

Skills

Python

Java

C#

JavaScript/TypeScript

Go

Cloud architecture

Stakeholder management

Client-facing consulting

Education

Bachelor's or Master's degree in Computer Science/Engineering/Information Systems

Tools

Azure

AWS

Google Cloud Platform

APIs

Microservices

CI/CD

Docker

Kubernetes

LangChain / LangGraph / Semantic Kernel

Job description

As a Forward Deployed Engineer, you will make an impact by partnering directly with clients to rapidly design, build, and deploy innovative AI, data, cloud, and digital solutions that deliver measurable business outcomes. You will be a valued member of the Cognizant Consulting team and work collaboratively with clients, business stakeholders, architects, product managers, data scientists, and engineering teams.

In this role, you will serve as a trusted technical advisor, helping organizations accelerate digital transformation initiatives through modern cloud architectures, enterprise integrations, and next-generation AI solutions.

In This Role, You Will

• Partner directly with client stakeholders to understand business objectives, operational challenges, and technical requirements while serving as a trusted technical advisor.
• Lead discovery workshops, technical assessments, and solution envisioning sessions to translate business needs into scalable solution architectures and implementation roadmaps.
• Design, develop, and deploy cloud-native applications, APIs, microservices, and enterprise integrations that accelerate time-to-value.
• Build and implement Generative AI, Agentic AI, machine learning, and Retrieval-Augmented Generation (RAG) solutions, including AI copilots, intelligent workflows, and autonomous agents.
• Own technical delivery across client-facing initiatives, driving rapid iteration, production readiness, adoption, and measurable business outcomes.

Work Model

We strive to provide flexibility wherever possible. Based on this role's business requirements, this is a remote position open to qualified applicants in the United States. Occasional travel may be required to client sites, Cognizant offices, workshops, solution design sessions, and project-related meetings.

Regardless of your working arrangement, we are here to support a healthy work-life balance through our various wellbeing programs.

The working arrangements for this role are accurate as of the date of posting. This may change based on the project you're engaged in, as well as business and client requirements. Rest assured; we will always be clear about role expectations.

What You Need to Have to Be Considered

• 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.

These Will Help You Stand Out

• Experience deploying Generative AI, Agentic AI, machine learning, or advanced analytics solutions in enterprise environments.
• Hands-on experience with LLM platforms such as Azure OpenAI, OpenAI, Anthropic Claude, or Google Gemini.
• Experience with AI frameworks and orchestration platforms including LangChain, LangGraph, Semantic Kernel, vector databases, and knowledge graph solutions.
• Experience building AI copilots, intelligent automation solutions, RAG architectures, and enterprise knowledge management platforms.
• Experience working directly with clients in consulting, solution engineering, customer engineering, or forward deployed engineering capacities.
• Experience delivering technology solutions across industries such as Healthcare, Financial Services, Retail, Manufacturing, or Logistics.
• Strong executive communication and stakeholder management skills.

We're excited to meet people who share our mission and can make an impact in a variety of ways. 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

The annual salary for this position is anticipated to be between $130,000 and $158,500, depending on experience, qualifications, geographic location, skills, and other job-related factors.

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 a comprehensive and competitive benefits package designed to support the health, wellbeing, and financial security of our associates and their families, including:

• Medical, dental, vision, and life insurance
• 401(k) plan and company contributions
• Employee Stock Purchase Plan (ESPP)
• Employee Assistance Program (EAP)
• Paid holidays and paid time off (PTO)
• Paid parental leave and fertility assistance programs
• Learning and development programs, certifications, and career advancement opportunities
• Wellness and mental health resources
• Career growth and internal mobility opportunities

Benefits may vary by location and employment status and are subject to change.

Application Deadline

Applications will be accepted until November 30, 2026.

Cognizant reserves the right to close this posting earlier based on application volume, business needs, or hiring timelines.