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Deployed Engineer Jobs in Washington (NOW HIRING)

IMR Soft LLC

Forward Deployed Engineer

Washington, DC · On-site

Forward Deployed Engineer -- Data Engineering & GenAI Location: Washington, DC Metro Area Work Model: Hybrid -- expected in the office/customer sites 2-3 days per week Employment Type: Full Time ...

New

Drive Capital

Forward Deployed Engineer

Lorton, VA · On-site

Forward Deployed Engineer * Engineering * East Coast, United States * Full-time Description VAST Data is the data platform company for the AI era. We are building the enterprise software ...

Neuroscale AI

Forward Deployed Engineer

Reston, VA · On-site

We're now hiring a Forward Deployed Engineer to help accelerate adoption of Arbi in both federal & commercial space to help us dominate one of the largest and fastest-expanding categories in modern ...

goTenna

Forward Deployed Engineer

Fairfax, VA · On-site

$100K - $130K/yr

Forward Deployed Engineer Offering Relocation Assistance Work Type/Locations: Hybrid in either Fairfax, VA, OR Clarksburg, MD About goTenna goTenna is the world's leading mobile mesh networking ...

goTenna

Forward Deployed Engineer

Fairfax, VA · On-site

$100K - $130K/yr

Forward Deployed Engineer Offering Relocation Assistance Work Type/Locations: Hybrid in either Fairfax, VA, OR Clarksburg, MD About goTenna goTenna is the world's leading mobile mesh networking ...

Tari Labs, LLC.

Forward Deployed Engineer

Washington, DC · On-site

$143K - $165K/yr

As a Forward Deployed Engineer, you'll be embedded directly inside our customer organizations, operating as part of their team while remaining tightly connected to Istari's product and engineering ...

LMI

Forward Deployed Engineer

Washington, DC · On-site

Successful Forward Deployed Engineers demonstrate competency in integrating advanced technologies into existing business processes, building new functionality, ensuring successful software ...

LMI

Forward Deployed Engineer

Washington, DC · On-site

Successful Forward Deployed Engineers demonstrate competency in integrating advanced technologies into existing business processes, building new functionality, ensuring successful software ...

Knak Digital

Forward Deployed Engineer

Washington, DC · On-site

Forward Deployed Engineer, U.S. Government Job Type: Full-time Location: Based in DC The Role We're hiring an MTS to work on applied AI systems across research and production. This role spans model ...

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How much do deployed engineer jobs pay per hour?

As of Sep 14, 2026, the average hourly pay for deployed engineer in Washington is $63.42, according to ZipRecruiter salary data. Most workers in this role earn between $45.48 and $84.42 per hour, depending on experience, location, and employer.
Deployed Engineer jobs near you
Infographic showing various Deployed Engineer job openings in Washington as of September 2026, with employment types broken down into 1% Internship, 90% Full Time, 5% Part Time, and 4% Contract. Highlights an 86% Physical, 3% Hybrid, and 11% Remote job distribution.

Forward Deployed Engineer

Washington, DC • On-site

IMR Soft LLC
51 - 200 employees
Learn more about IMR Soft LLCexternal

Other

Posted 3 days ago

New

Job description

Forward Deployed Engineer — Data Engineering & GenAI
Location: Washington, DC Metro Area
Work Model: Hybrid — expected in the office/customer sites 2–3 days per week
Employment Type: Full Time/Contract
Experience Level: Principal (8–14 years)
 
About the Role
We are looking for a Forward Deployed Engineer (FDE) who combines strong software and data engineering fundamentals with hands-on Generative AI expertise and exceptional customer-facing skills.
This is not a traditional implementation, solutions consulting, or data engineering role. The FDE will work directly with customers to understand complex and often ambiguous operational problems, translate them into technical solutions, and then build and deploy those solutions hands-on.
 
You will operate at the intersection of customers, data, software engineering, and Generative AI. One engagement might require building an API integration and ETL pipeline; another might involve creating an AI agent that automates an operational workflow; another could require rapidly prototyping a customer-specific application using LLMs and enterprise data.
We are looking for someone who is comfortable moving between a customer conversation, architecture whiteboard, IDE, data pipeline, and production deployment. 
What We’re Looking For
 
Must Have
  • Strong hands-on software engineering experience.
  • Strong data engineering fundamentals, including ETL/ELT, data modeling, schema mapping, and data pipelines.
  • Experience designing and integrating REST APIs and backend services.
  • Strong Python development skills.
  • Hands-on experience building applications using LLMs / Generative AI.
  • Experience building at least some of: AI agents, RAG systems, tool-calling workflows, LLM-powered applications, or AI workflow automation.
  • Ability to take an ambiguous customer requirement and independently turn it into a working technical solution.
  • Strong debugging and problem-solving skills across applications, APIs, infrastructure, and data.
  • Excellent written and verbal communication skills.
  • Demonstrated ability to work directly with customers and senior stakeholders.
  • Ability to operate effectively in fast-moving environments with incomplete requirements.
  • Based in or willing to work from the Washington, DC metro area.
  • Ability to work in a hybrid environment with office/customer-site presence at least 2–3 days per week.
 
Strongly Preferred
  • Experience working as a Forward Deployed Engineer, Solutions Engineer, Solutions Architect, Technical Consultant, or customer-facing Software/Data Engineer.
  • Experience supporting the federal government, defense, intelligence, national security, or other mission-critical environments.
  • Experience with cloud platforms such as AWS, Azure, or Google Cloud Platform.
  • Experience with modern data platforms and technologies such as Snowflake, Databricks, Spark, Kafka, Airflow, dbt, or equivalent technologies.
  • Experience with vector databases, embeddings, retrieval systems, and modern LLM application frameworks.
  • Experience deploying AI applications into production environments.
  • Experience designing human-in-the-loop workflows and AI evaluation systems.
  • Familiarity with enterprise security, authentication, authorization, and data-governance requirements.
  • Demonstrated ability to develop reusable technical approaches and influence engineering or product strategy.
 
Roles & Responsibilities
  • Work directly with customers to understand business objectives, operational workflows, technical environments, and pain points.
  • Translate ambiguous customer requirements into concrete technical architectures and working solutions.
  • Rapidly prototype, build, test, deploy, and iterate on customer-facing solutions.
  • Own technical delivery from initial discovery through implementation and production adoption.
  • Make pragmatic engineering decisions balancing speed, scalability, security, maintainability, and customer impact.
  • Identify technical risks, data-quality issues, integration constraints, and implementation trade-offs early.
  • Write production-quality code, primarily using languages such as Python and/or TypeScript.
  • Design and develop APIs and backend services.
  • Integrate applications with databases, APIs, cloud services, AI models, and customer systems.
  • Build lightweight applications and interfaces where needed to deliver an end-to-end customer solution.
  • Apply sound software engineering practices around testing, version control, CI/CD, monitoring, security, and documentation.
  • Design and implement ETL/ELT pipelines for ingestion, extraction, transformation, and delivery workflows.
  • Execute bulk data processing and deliver data products in formats including Parquet, CSV, JSON, and related formats.
  • Build, configure, test, and maintain REST/API integrations for customer and internal use cases.
  • Design and build GenAI-powered applications that automate complex customer workflows.
  • Build LLM-based agents and agentic workflows capable of reasoning across enterprise data, APIs, and tools.
  • Develop RAG pipelines connecting LLMs with structured and unstructured enterprise data.
  • Implement tool/function calling, structured outputs, workflow orchestration, and multi-step AI systems.
  • Build evaluation frameworks and feedback loops to measure and improve AI application quality.
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About IMR Soft

Sourced by ZipRecruiter

IMR Soft. is one of the fastest-growing, USA based Information Technology company specializing in software development and IT Services. Founded in 2017, by a team of experienced professionals with a solid base in IT and Management. Headquartered in Princeton, New Jersey. We help clients Create the Future. We deliver innovative information technology solutions and unlimited services that benefit our clients by maximizing their performance. We combine tech expertise and business intelligence to catalyze change and deliver results. In a world that is constantly changing, companies are faced with the challenge of continually adapting to a dynamic environment.

Company size

51 - 200 Employees

Headquarters location

Princeton, NJ, US

Year founded

2017

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