Client-Facing AI Engineer, Forward Deployed

Cognizant

Bismarck (ND)

On-site

USD 130,000 - 159,000

Full time

12 days ago
Application generator

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Benefits offered by this job

Medical insurance
401(k) plan
ESPP
EAP
PTO

Job summary

Cognizant is seeking a Forward Deployed Engineer to partner directly with clients across the United States, delivering cloud-native applications, APIs, microservices, and enterprise integrations. You will design, implement, and deploy Generative AI and ML solutions, acting as a trusted technical advisor and driving rapid value while coordinating with stakeholders and engineering teams.

The role emphasizes production readiness, client engagement, and measurable business outcomes, with a remote

Qualifications

  • Bachelor's or Master's degree in Computer Science, Engineering, Information Systems, or related field.
  • 5+ years of experience in software engineering, solution architecture, technical consulting, or similar roles.
  • Strong programming in Python, Java, C#, JavaScript/TypeScript, or Go.

Responsibilities

  • Partner with client stakeholders to understand objectives and translate them into scalable architectures.
  • Lead workshops and design sessions to craft solution roadmaps.
  • Design, develop, and deploy cloud-native apps, APIs, microservices, and integrations.
  • Build AI copilots, agentic AI, ML, and RAG solutions for enterprise deployments.
  • Own technical delivery across client initiatives with measurable outcomes.

Skills

Python
Java
C#
JavaScript/TypeScript
Go
Cloud architectures
stakeholder management

Education

Bachelor's or Master's in CS/Engineering/IS

Tools

Docker
Kubernetes
Azure
AWS
Google Cloud Platform
LangChain
LangGraph
Semantic Kernel

Job description

Cognizant is seeking a Forward Deployed Engineer to partner directly with clients across the United States, delivering cloud-native applications, APIs, microservices, and enterprise integrations. You will design, implement, and deploy Generative AI and ML solutions, acting as a trusted technical advisor and driving rapid value while coordinating with stakeholders and engineering teams.

The role emphasizes production readiness, client engagement, and measurable business outcomes, with a remote

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