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Senior Forward Deployed Engineers

Conquer AI

West Virginia • Today

Full-time

Senior Forward Deployed Engineer – AI/ML

Avila IT

Remote • Yesterday

Easy Apply

Full-time

Depends on Experience

Sr Forward Deployed Engineer

Cayuse Holdings

Remote • Today

Full-time

Compensation information provided in the description

Senior Forward Deployed Engineer

Webflow

Remote • Today

Full-time

USD 158,300.00 - 190,000.00 per year

Senior Forward Deployed Engineer

SecurityScorecard

Remote • Today

Full-time

USD 200,000.00 per year

Senior Forward Deployed Engineer

Sinch

Remote • Today

Full-time

Palantir Foundry Developer (Senior Forward Deployed Engineer)

Tranzeal, Inc.

Remote • Yesterday

Easy Apply

Contract

$100 - $110

Sr. Forward-Deployed AI Engineer

Openmind Technologies

Remote • 24d ago

Easy Apply

Contract

Depends on Experience

Senior Forward Deployed Engineer, AI Studio

Amgen Inc

Remote • 20d ago

Full-time

USD 156,190.05 - 211,315.95 per year

Senior Forward Deployed Engineer / Golang / Remote / Fintech

Motion Recruitment Partners, LLC

Remote • Today

Easy Apply

Full-time

$180000 - $250000

Senior AI Engineer / Forward Deployed Engineer

OnwardPath Technology Solutions LLC

Remote • Today

Easy Apply

Contract

Depends on Experience

Senior Principal Forward Deployed Engineer

Atlassian Inc.

Remote or San Francisco, California • Today

Full-time

USD 243,900.00 - 318,425.00 per year

Senior AI Engineer / Forward Deployed Engineer

VYSoft Solutions Inc

Remote • Yesterday

Easy Apply

Full-time

60 - 65

Sr Cloud Forward Deployed Engineer (FDE)

High Bridge Consulting

Remote • 6d ago

Easy Apply

Contract

60 - 100

Senior Staff Forward Deployed Engineer, AI

SentinelOne

Remote • Today

Full-time

USD 184,000.00 - 253,000.00 per year

Principal Architect / Lead Forward Deployed Engineer - Applied AI & Google Contact Center AI / CCAI, CCaaS

System Edge (USA) L.L.C.

Remote • 2d ago

Easy Apply

Contract, Third Party

Depends on Experience

Principal Architect / Lead GEN AI Forward Deployed Engineer - Google Contact Center AI / CCAI, CCaaS

System Edge (USA) L.L.C.

Remote • 2d ago

Easy Apply

Contract, Third Party

Depends on Experience

Palantir Foundry Forward Deployed Engineer

Werner Consulting Group

Remote • 22d ago

Easy Apply

Contract

Depends on Experience

Forward Deployed Solution Engineer - Applied AI FDE

ServiceNow, Inc.

Remote or Santa Clara, California • Today

Full-time

USD 201,300.00 - 352,300.00 per year

AI Engineer / Forward Deployed Engineer

Fynbosys Inc

Remote • Today

Easy Apply

Third Party, Contract

$70 - $80

Forward Deployed Engineer

Atlas

Remote or New York, New York • Today

Full-time

Forward Deployed Engineer / Technical Lead (Supply Chain, Customer Portals & Logistics Systems) - W2

Info Dinamica Inc

Remote or San Francisco, California • Today

Easy Apply

Contract

Senior Lead, Full-stack Forward Deployed Engineer

Kyndryl

Remote or Dallas, Texas • Today

Full-time

USD 115,080.00 - 218,520.00 per year

Senior Forward Deploy Engineer (Fullstack - Java/React)

SentinelOne

Remote • Today

Full-time

USD 132,000.00 - 182,000.00 per year

Forward Deployed Engineer, AI Enablement

Stord, Inc.

Remote • Today

Full-time

Senior Forward Deployed Engineer, Data & AI

Will-N-Able

Remote • 22d ago

Easy Apply

Contract

Depends on Experience

Senior Engineer, Big Data - Medical Cost Grouper - Remote

Molina Healthcare

Remote • Today

Full-time

USD 79,607.91 - 172,483.80 per year

Forward Deployment Engineer

Intellisoft Technologies

Remote • 20d ago

Easy Apply

Third Party, Contract

Depends on Experience

Lead Engineer, Big Data - Databricks - Remote

Molina Healthcare

Remote • Today

Full-time

USD 96,325.57 - 208,705.40 per year

AICC Senior Technical Lead, Forward Deployed Engineering (Senior Manager)

Huron

Remote or Chicago, Illinois • Today

Full-time

USD 165,000.00 - 190,000.00 per year

Job Details

Skills

Back Office
Workflow
Prompt Engineering
Embedded Systems
Software Engineering
React.js
Shipping
Generative Artificial Intelligence (AI)
Communication
Python
Scripting
TypeScript
Node.js
Customer Facing
SQL
Java
Flask
Microservices
Artificial Intelligence
Fluency
Open Source
Orchestration
LangChain
Vector Databases
Evaluation
LangSmith
Auditing
Database
PostgreSQL
Snow Flake Schema
Cloud Computing
Amazon Web Services
Google Cloud
Google Cloud Platform
Microsoft Azure
Docker
Kubernetes
Terraform

Back Office
Workflow
Prompt Engineering
Embedded Systems
Software Engineering
React.js
Shipping
Generative Artificial Intelligence (AI)
Communication
Python
Scripting
TypeScript
Node.js
Customer Facing
SQL
Java
Flask
Microservices
Artificial Intelligence
Fluency
Open Source
Orchestration
LangChain
Vector Databases
Evaluation
LangSmith
Auditing
Database
PostgreSQL
Snow Flake Schema
Cloud Computing
Amazon Web Services
Google Cloud
Google Cloud Platform
Microsoft Azure
Docker
Kubernetes
Terraform

Summary

Job Description

Senior Forward Deployed Engineers x10 Immediate Start
\\n
Remote - USA | Contract | Competitive rate Day Rate |
\\n

\\n
You must hold full working rights in the United States. We are unable to sponsor visas for this role.
\\n

\\n
We will also require you to complete a Technical Assessment.
\\n

\\n
About the role
\\n
We are looking for a number of Senior Forward Deployed Engineers to work alongside our AI Solutions Lead, building production AI applications directly for our clients.
\\n

\\n
You will partner with the client to understand their operational problems, then design and ship full-stack solutions powered by LLMs and agentic workflows. This isn\'t a back-office build role. You will own projects from discovery through deployment, working closely with the client team and iterating fast as requirements shift.
\\n

\\n
What you will do
\\n

Work directly with our client to scope problems and turn them into technical solutions
Build and deploy production-ready applications with modern full-stack tooling
Develop LLM features, AI agents, and intelligent workflows inside customer environments
Build backend services and frontend experiences that hold up under real use
Run prompt engineering and evaluation cycles to keep improving what\'s shipped

\\n

\\n
What you will bring
\\n

Solid background in software engineering or AI engineering, ideally with roots in solutions engineering, implementation, or embedded delivery work before AI made it fashionable
8+ years in software engineering overall
Someone who tracks the AI space closely and adapts fast when the tools change
5+ years in full-stack development (Python and/or TypeScript, React, SQL)
2+ years hands-on shipping LLM or generative AI applications in production
1+ year working with agent orchestration frameworks (LangChain, LangGraph, or CrewAI)
1+ year designing RAG pipelines and working with vector databases
Comfortable translating business needs into technical decisions with minimal hand-holding
Genuine interest in where this field is heading, not just the current toolset
Strong communication skills. You\'ll be the engineer customers see and trust

\\n

\\n
Tech skills
\\n
You keep pace with how fast AI is moving, and you have actually used the latest tools, not just read about them.
\\n

\\n
Core languages and backend
\\n

Python: non-negotiable for AI orchestration, data scripting, and backend logic
TypeScript / Node.js: essential for building customer-facing extensions, full-stack glue code, and lightweight web UIs
SQL and Java/Go: needed for deep database queries and heavy enterprise system extensions
FastAPI / Flask: for spinning up microservices and rapid integration layers

\\n
AI and agent orchestration
\\n

LLM providers: fluency with Anthropic Claude, OpenAI, and open-source models via Hugging Face or vLLM
Orchestration: production proficiency in LangChain or LangGraph and CrewAI for multi-step agent behaviours
RAG and vector stores: hands-on design with vector databases (Pinecone, Qdrant, pgvector) and retrieval systems
Evaluation and observability: deployment tracking using tools like LangSmith or Braintrust to audit hallucination rates and latency

\\n
Data and infrastructure
\\n

Databases and warehouses: PostgreSQL, Snowflake, or BigQuery for customer data ingestion
Cloud platforms: working knowledge of AWS, Google Cloud Platform, or Azure
Containerisation: Docker as a baseline, with basic Kubernetes and Terraform for replicating environments.

Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.

Dice Id: orcfeed
Position Id: 24495_29249_040c36b40c131eba
Posted 6 hours ago

Fitment

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Who We Are At Kyndryl, we design, build, manage and modernize the mission-critical technology systems that the world depends on every day. So why work at Kyndryl? We are always moving forward - always pushing ourselves to go further in our efforts to build a more equitable, inclusive world for our employees, our customers and our communities. The Role Kyndryl Consult is driving the next wave of enterprise AI transformation, delivering mission-critical innovation for global organizations. Oper

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Job Details

Skills

Back Office
Workflow
Prompt Engineering
Embedded Systems
Software Engineering
React.js
Shipping
Generative Artificial Intelligence (AI)
Communication
Python
Scripting
TypeScript
Node.js
Customer Facing
SQL
Java
Flask
Microservices
Artificial Intelligence
Fluency
Open Source
Orchestration
LangChain
Vector Databases
Evaluation
LangSmith
Auditing
Database
PostgreSQL
Snow Flake Schema
Cloud Computing
Amazon Web Services
Google Cloud
Google Cloud Platform
Microsoft Azure
Docker
Kubernetes
Terraform

Back Office
Workflow
Prompt Engineering
Embedded Systems
Software Engineering
React.js
Shipping
Generative Artificial Intelligence (AI)
Communication
Python
Scripting
TypeScript
Node.js
Customer Facing
SQL
Java
Flask
Microservices
Artificial Intelligence
Fluency
Open Source
Orchestration
LangChain
Vector Databases
Evaluation
LangSmith
Auditing
Database
PostgreSQL
Snow Flake Schema
Cloud Computing
Amazon Web Services
Google Cloud
Google Cloud Platform
Microsoft Azure
Docker
Kubernetes
Terraform

Summary

Work directly with our client to scope problems and turn them into technical solutions
Build and deploy production-ready applications with modern full-stack tooling
Develop LLM features, AI agents, and intelligent workflows inside customer environments
Build backend services and frontend experiences that hold up under real use
Run prompt engineering and evaluation cycles to keep improving what\'s shipped

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What you will bring
\\n

Solid background in software engineering or AI engineering, ideally with roots in solutions engineering, implementation, or embedded delivery work before AI made it fashionable
8+ years in software engineering overall
Someone who tracks the AI space closely and adapts fast when the tools change
5+ years in full-stack development (Python and/or TypeScript, React, SQL)
2+ years hands-on shipping LLM or generative AI applications in production
1+ year working with agent orchestration frameworks (LangChain, LangGraph, or CrewAI)
1+ year designing RAG pipelines and working with vector databases
Comfortable translating business needs into technical decisions with minimal hand-holding
Genuine interest in where this field is heading, not just the current toolset
Strong communication skills. You\'ll be the engineer customers see and trust

\\n

\\n
Tech skills
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You keep pace with how fast AI is moving, and you have actually used the latest tools, not just read about them.
\\n

\\n
Core languages and backend
\\n

Python: non-negotiable for AI orchestration, data scripting, and backend logic
TypeScript / Node.js: essential for building customer-facing extensions, full-stack glue code, and lightweight web UIs
SQL and Java/Go: needed for deep database queries and heavy enterprise system extensions
FastAPI / Flask: for spinning up microservices and rapid integration layers

\\n
AI and agent orchestration
\\n

LLM providers: fluency with Anthropic Claude, OpenAI, and open-source models via Hugging Face or vLLM
Orchestration: production proficiency in LangChain or LangGraph and CrewAI for multi-step agent behaviours
RAG and vector stores: hands-on design with vector databases (Pinecone, Qdrant, pgvector) and retrieval systems
Evaluation and observability: deployment tracking using tools like LangSmith or Braintrust to audit hallucination rates and latency

\\n
Data and infrastructure
\\n

Databases and warehouses: PostgreSQL, Snowflake, or BigQuery for customer data ingestion
Cloud platforms: working knowledge of AWS, Google Cloud Platform, or Azure
Containerisation: Docker as a baseline, with basic Kubernetes and Terraform for replicating environments.

Dice Id: orcfeed
Position Id: 24495_29249_040c36b40c131eba
Posted 6 hours ago

Fitment

Dice Job Match Score™

To see how well you match this job, please log in or create an account.

Once logged in, be sure to complete your profile to get the most accurate match score.

Create job alert

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