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Forward Deployed Engineer – AI​/GenAI – Remote

Remote / Online - Candidates ideally in
Paterson, Passaic County, New Jersey, 07544, USA
Listing for: Xoriant
Remote/Work from Home position
Listed on 2026-09-30
Job specializations:
  • Software Development
    AI Engineer (Applied/Software), Cloud Engineer - Software, Machine Learning/ ML Engineer, DevOps
Salary/Wage Range or Industry Benchmark: 120000 - 180000 USD Yearly USD 120000.00 180000.00 YEAR
Job Description & How to Apply Below
Position: Looking for Forward Deployed Engineer – AI / GenAI – Remote Role

Looking for Forward Deployed Engineer – AI / GenAI – Remote Role

Experience: 3+ Years

Positions: Multiple openings – Mid-Level & Senior-Level

Position Overview

Client is building a strategic Forward Deployed Engineering (FDE) practice to support current and future client engagements focused on AI transformation, intelligent automation, Generative AI, and AI-enabled solutions. We are seeking Forward Deployed Engineers / AI Solutions Engineers who can work closely with clients to understand complex business and technical challenges and translate them into practical, scalable AI solutions. This is a client-facing, solution-oriented role that combines AI/ML expertise, software engineering fundamentals, consulting, and hands-on solution implementation.

Candidates should be comfortable moving from understanding a business problem to designing, configuring, integrating, and deploying an AI-enabled solution.

Key Responsibilities
  • Partner directly with clients and stakeholders to understand business challenges, technical requirements, and desired outcomes.
  • Translate business and technical requirements into AI-enabled solutions, workflows, and automation.
  • Design, develop, configure, and deploy AI agents, Generative AI solutions, intelligent workflows, and AI/ML pipelines.
  • Leverage modern AI platforms, frameworks, APIs, cloud services, and automation tools to accelerate solution delivery.
  • Integrate AI solutions with existing enterprise applications, platforms, APIs, and data environments.
  • Collaborate with engineering, architecture, product, cybersecurity, and client teams to drive successful implementation.
  • Support AI solutions through proof of concept, implementation, production deployment, and operationalization.
  • Identify opportunities to improve business processes through AI, automation, and intelligent decision-making.
  • Communicate technical concepts and solution approaches clearly to both technical and non-technical stakeholders.
  • Contribute to reusable solution patterns, accelerators, and best practices for Xoriant's FDE practice.
Required Qualifications
  • 3+ years of experience in AI, Machine Learning, Generative AI, Software Engineering, Cloud, MLOps, Dev Ops, or a related technical discipline.
  • Experience working with one or more of the following:
  • Artificial Intelligence / Machine Learning
  • AI Agents / Agentic AI
  • RAG and AI-powered applications
  • Dev Ops / Automation
  • APIs and enterprise integrations
  • Strong understanding of software engineering concepts, APIs, system integration, and modern technology architectures.
  • Experience using AI tools, platforms, frameworks, or cloud services to build or implement intelligent solutions.
  • Ability to understand business requirements and translate them into practical technical solutions.
  • Strong communication, consulting, problem-solving, and stakeholder management skills.
  • Ability to work effectively in a client-facing environment and adapt to different customer technologies and business requirements.
Preferred Qualifications
  • Experience with AWS, Azure, or GCP.
  • Experience with Python or another modern programming language.
  • Experience with LLM platforms, AI agent frameworks, RAG, vector databases, or AI orchestration.
  • Experience with Docker, Kubernetes, CI/CD, MLOps, or cloud-native architectures.
  • Experience integrating AI solutions with enterprise applications and APIs.
  • Consulting, professional services, systems integration, or customer-facing engineering experience.
  • Experience taking AI solutions from POC to production.
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