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Forward Deployment Engineer (Strong AI Exp Must)_Remote

Xoriant CorporationUnited States🇺🇸United StatesPosted 11 Sept 2026

Why This Role Stands Out

This remote Forward Deployment Engineer role offers significant growth by letting you design and implement cutting-edge AI and GenAI solutions for clients, directly impacting their digital transformation. You'll thrive here if you have a strong AI/ML background, enjoy client collaboration, and are eager to build scalable intelligent workflows in a flexible work environment. Join a leading technology firm and apply your expertise to shape the future of AI adoption.

Quick Overview

Seniority
Mid Senior
Work mode
Remote
Location
United States
Posted
Yesterday
AWSMLOpsAzureGenerative AIGoogle CloudStakeholder Management

Job Description

Xoriant is an equal opportunity employer. No person shall be excluded from consideration for employment because of race, ethnicity, religion, caste, gender, gender identity, sexual orientation, marital status, national origin, age, disability or veteran status.

TITLE:- Forward Deployment Engineer (AI exp Must)

LOCATION Remote, USA

DURATION 12+ Months (May get extend)

MODE OF INTERVIEW Zoom/Webex

RATE As per Market (Only Xoriant W2)

JOB DESCRIPTION

Domain: AI Transformation, Automation, GenAI Solutions, Intelligent Workflows

We are seeking a Forward Deployment Engineer (FDE) to work closely with clients in designing and implementing AI-powered solutions. The ideal candidate will help translate business challenges into scalable AI, GenAI, and automation solutions while collaborating with engineering and product teams. Responsibilities include deploying AI agents, building AI workflows and pipelines, supporting solution integration, and driving AI adoption within customer environments.

Candidates should have experience in AI/ML, Generative AI, AI Agents, MLOps, or Cloud/DevOps technologies, along with strong problem-solving, stakeholder management, and client-facing skills. Experience with LLMs, RAG, Lang Chain, cloud platforms (AWS/Azure/Google Cloud Platform), and AI solution architecture is highly preferred.

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