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Deployable Jobs in Maryland (NOW HIRING)

Platform Aerospace

DEPLOYMENT SITE LEAD

Hollywood, MD · On-site

$95K - $122K/yr

Additionally, when not deployed, this role will support the Flight Operations Department with documentation management, operational planning, logistics coordination, and other duties. DUTIES ...

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Deployable information

See Maryland salary details

$40.8K

$93.2K

$144.6K

How much do deployable jobs pay per year?

As of Aug 23, 2026, the average yearly pay for deployable in Maryland is $93,172.00, according to ZipRecruiter salary data. Most workers in this role earn between $74,700.00 and $114,000.00 per year, depending on experience, location, and employer.

What is a deployable?

Deployables are professionals or assets that are prepared and equipped to be sent to various locations, often on short notice, to provide specific skills or support. In a job context, 'deployable' typically refers to employees or teams who can be rapidly mobilized for assignments such as disaster response, military operations, technical support, or humanitarian missions. These roles require flexibility, adaptability, and the ability to work under varying and sometimes challenging conditions. Deployables often undergo specialized training to ensure they are ready to operate effectively in diverse environments.

What are some common challenges faced by deployable IT specialists when working in field environments?

Deployable IT specialists often encounter challenges such as adapting quickly to unfamiliar or austere environments, ensuring reliable connectivity with limited infrastructure, and troubleshooting technical issues under time constraints. They may also need to work collaboratively with diverse teams, including non-technical personnel, to support mission-critical operations. Flexibility, problem-solving skills, and effective communication are essential for overcoming these challenges and ensuring successful technology deployments in the field.

What are the key skills and qualifications needed to thrive as a deployable operations specialist, and why are they important?

To thrive as a Deployable Operations Specialist, you need expertise in logistics, emergency management, and field operations, often supported by relevant certifications such as FEMA ICS or military training. Familiarity with mobile communications equipment, GPS systems, and incident management software is typically required. Strong problem-solving skills, adaptability, and effective teamwork are crucial soft skills for success in unpredictable environments. These abilities ensure rapid, coordinated responses to critical situations, maximizing mission effectiveness and safety.

What are popular job titles related to Deployable jobs in Maryland?

For Deployable jobs in Maryland, the most frequently searched job titles are:

What job categories do people searching Deployable jobs in Maryland look for?

The top searched job categories for Deployable jobs in Maryland are:

Deployable jobs near you
Infographic showing various Deployable job openings in Maryland as of August 2026, with employment types broken down into 1% As Needed, 88% Full Time, 5% Part Time, and 6% Contract. Highlights an 95% Physical, 1% Hybrid, and 4% Remote job distribution, with an average salary of $93,172 per year, or $44.8 per hour.

Forward Deployed AI Engineer System Test Automation

Infomatics Corp

Bethesda, MD • On-site

$49.25 - $65/hr

Other

Re-posted 26 days ago

Job description

We are seeking a Forward Deployed AI Engineer (FDE) to accelerate the real-world adoption of AI within our End-to-End System Test Automation. This role focuses on taking AI tools and prototypes and making them work reliably inside complex engineering environments. You will embed closely with system test engineers, automation framework/ test owners and development teams to adapt, harden and operationalize AI-driven workflows. This is a hands-on engineering role for individuals who thrive in ambiguity, enjoy working close to real users and can turn AI potential into measurable productivity gains.

Key Responsibilities:

Forward Deployment of AI into Test Automation and turn AI prototypes into production-ready, repeatable solutions

Embed with system test and automation teams to:
Understand real testing workflows, constraints, and failure modes
Identify where AI can safely and effectively reduce manual effort
Adapt AI workflows to work with:
Existing automation frameworks
Real test data, schemas, and configurations

Agentic AI Implementation & Tuning

Implement and customize agentic AI workflows that:
Interpret requirements, schemas, or models
Assist in generating structured test assets
Tune AI behavior based on:
Real test outcomes
Failure analysis and feedback
Debug and resolve AI issues in live engineering environments

AI Tooling & Platform Feedback

Work with AI platforms (e.g., Qodo or similar) to:
Extend functionality where needed
Configure prompts, workflows, and validation layers
Evaluate emerging AI tools and frameworks in real system test contexts
Feed practical insights back to platform and leadership teams:
What works
What fails
What should scale

Enablement, Documentation & Guardrails

Document AI usage patterns and best practices
Help define guardrails for:
Safety-critical configurations
Invalid or destructive AI-generated outputs
Enable test engineers to adopt AI confidently and responsibly

Required Qualifications
  • 2+ years of hands-on experience in software engineering or applied AI, with clear ownership of deploying solutions into real engineering or production environments
  • Demonstrated experience taking an AI or automation-based solution from prototype to real-world usage, including adapting it to real constraints, failures, and evolving requirements
  • Proven ability to own and troubleshoot AI behavior, tuning prompts/instructions, adding validation or guardrails, and diagnosing incorrect, unsafe, or low-quality outputs
  • Experience working closely with engineers or end users to understand real workflows and iterating rapidly based on live feedback and outcomes
  • Strong hands-on programming skills (Python required), with experience building orchestration, integration, or control logic across multiple systems
Preferred Qualifications
  • Networking fundamentals (TCP/IP, MPLS, gNMI, YANG)
  • Linux, CI/CD, Docker, Kubernetes
 

Apply