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Senior Applications Engineer Jobs in Washington (NOW HIRING)

Infojini Inc

Senior Applications Developer

Washington, DC

$108K - $149K/yr

Senior Applications Developer Location: Washington, DC Duration: 6+ months Client: Direct Client Required Skills: * Minimum 7 years of experience in Software Development. * Minimum 5 years of ...

Peraton

Senior Applications Developer

Germantown, MD · On-site

$97K - $133K/yr

They are seeking a Senior Applications Developer to build, enhance, and maintain custom enterprise solutions, lead migrations, and provide technical mentorship to the team. Responsibilities : • ...

Bowhead

Senior Applications Developer

Arlington, VA · On-site

$165K - $230K/yr

Overview SENIOR APPLICATION DEVELOPER (NAUT): Bowhead seeks a Senior Application Developer to ... Lead the architectural design and development of complex cloud-native applications and systems for ...

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Senior Applications Engineer information

See Washington salary details

$78.7K

$146.1K

$207.3K

How much do senior applications engineer jobs pay per year?

As of Aug 29, 2026, the average yearly pay for senior applications engineer in Washington is $146,103.00, according to ZipRecruiter salary data. Most workers in this role earn between $122,300.00 and $163,700.00 per year, depending on experience, location, and employer.

What does a senior applications engineer do?

A Senior Applications Engineer is responsible for designing, developing, and supporting software applications tailored to meet client or business requirements. They collaborate with cross-functional teams to understand user needs, troubleshoot complex software issues, and provide technical guidance throughout the application lifecycle. Additionally, they may mentor junior engineers, help optimize existing systems, and ensure that applications are scalable and secure. Their role often bridges the gap between technical development and customer or business objectives.

What are the key skills and qualifications needed to thrive as a senior applications engineer?

To thrive as a Senior Applications Engineer, you need advanced expertise in software development, systems design, and troubleshooting, typically supported by a degree in engineering or computer science. Proficiency with programming languages (such as Java, C++, or Python), cloud platforms, and familiarity with tools like Git and CI/CD pipelines are commonly required, along with relevant certifications. Strong problem-solving abilities, effective communication, and project management skills help you collaborate with cross-functional teams and deliver tailored solutions for clients. These skills are crucial for ensuring robust, scalable applications that meet business needs and drive innovation.

How does a senior applications engineer typically collaborate with cross-functional teams on complex projects?

Senior Applications Engineers often work closely with product managers, software developers, and quality assurance teams to deliver tailored solutions for clients. They act as technical liaisons, translating customer requirements into system specifications and ensuring seamless integration with existing platforms. Effective communication and project management skills are essential, as these engineers may lead technical discussions, provide mentorship to junior engineers, and coordinate troubleshooting efforts across departments to meet project deadlines.

What is the difference between Senior Applications Engineer vs Applications Engineer?

AspectSenior Applications EngineerApplications Engineer
Required CredentialsBachelor's degree in engineering or related field; 3+ years experience; certifications like PMP or relevant technical certificationsBachelor's degree in engineering or related field; 1-3 years experience; technical certifications optional
Work EnvironmentDesigns, tests, and implements solutions; collaborates with sales and engineering teamsSupports clients by demonstrating products, troubleshooting, and providing technical assistance
Employer & Industry UsageUsed in manufacturing, tech, and engineering firms for complex solutionsCommon in tech, manufacturing, and industrial sectors for client support roles

The main difference is experience level and responsibilities. Senior Applications Engineers handle complex projects and lead technical solutions, while Applications Engineers focus on supporting clients and product demonstrations. Both roles require technical knowledge, but the senior position demands more experience and leadership skills.

What are the most commonly searched types of Applications Engineer jobs in Washington?

The most popular types of Applications Engineer jobs in Washington are:

What are popular job titles related to Senior Applications Engineer jobs in Washington?

For Senior Applications Engineer jobs in Washington, the most frequently searched job titles are:

What job categories do people searching Senior Applications Engineer jobs in Washington look for?

The top searched job categories for Senior Applications Engineer jobs in Washington are:

What cities in Washington are hiring for Senior Applications Engineer jobs?

Cities in Washington with the most Senior Applications Engineer job openings:

What are popular job titles related to Senior Applications Engineer jobs in WA?

For Senior Applications Engineer jobs in WA, the most frequently searched job titles are:

Senior Applications Engineer jobs near you
Infographic showing various Senior Applications Engineer job openings in Washington as of August 2026, with employment types broken down into 91% Full Time, and 9% Contract. Highlights an 87% In-person, and 13% Remote job distribution, with an average salary of $146,103 per year, or $70.2 per hour.

Senior Applications Engineer

Fort Belvoir, VA

Electrosoft
Network Security • 51 - 200 employees
Learn more about Electrosoftexternal

Full-time

Posted 24 days ago

Job description

Senior Applications Engineer

Position Summary

We are seeking a highly experienced Senior Applications Engineer to lead the design, development, integration, deployment, and sustainment of advanced Artificial Intelligence (AI), Machine Learning (ML), and predictive analytics solutions supporting the customer. The successful candidate will translate complex business requirements into secure, scalable AI/ML solutions operating within an AWS GovCloud environment and will support mission-critical DoD logistics capabilities.

Key Responsibilities

  • Analyze complex business, system, data, infrastructure, and application requirements and translate them into AI/ML solution designs.
  • Design, develop, test, deploy, and sustain machine learning models, analytics platforms, and supporting application components.
  • Lead development of predictive, prescriptive, and generative AI capabilities supporting logistics, supply chain, security, infrastructure, and operational use cases.
  • Develop reusable software tools, data pipelines, APIs, model components, and application subsystems that support software reuse and domain analysis.
  • Collaborate with Government stakeholders, hosting architects, cybersecurity teams, administrators, and technical SMEs to identify, prioritize, and implement high-value AI/ML use cases.
  • Support AWS GovCloud implementation activities, including development, test, and production environments.
  • Support Agile, DevSecOps, configuration management, release management, and Infrastructure-as-Code practices.
  • Develop and maintain technical documentation including design specifications, solution architecture documentation, requirements traceability matrices, test plans, test results, deployment plans, POA&Ms, and security artifacts.
  • Support system testing, including unit, system, interface, regression, performance, integration, interoperability, negative, security, Section 508, and user acceptance testing.
  • Support cybersecurity compliance activities including RMF, ATO artifacts, Zero Trust controls, CAC/PKI authentication, encryption at rest, vulnerability remediation, and IL-5 cloud hosting requirements.
  • Monitor deployed model and application performance and recommend enhancements to improve accuracy, scalability, resilience, usability, and operational value.
  • Provide technical leadership and mentorship to software developers, analysts, testers, and engineering team members.

Required Qualifications

  • Bachelor's degree in Computer Science, Data Science, Engineering, Mathematics, Information Systems, Artificial Intelligence, or another technical discipline.
  • Minimum ten (10) years of relevant technical experience.
  • US Citizenship
  • Experience analyzing complex system requirements and designing software tools, subsystems, or enterprise application components.
  • Experience developing and deploying AI/ML, predictive analytics, or data science solutions in production or mission-oriented environments.
  • Strong software engineering background with Python or other modern programming languages used for production AI/ML development.
  • Experience with data engineering, data pipelines, model development, model testing, and model sustainment.
  • Experience with cloud-native application development, preferably in AWS or AWS GovCloud environments.
  • Experience developing scalable APIs, services, dashboards, or application capabilities supporting operational users.
  • Ability to produce high-quality technical documentation and communicate clearly with technical and non-technical stakeholders.
  • Ability to work in a regulated Federal or DoD environment with strong attention to cybersecurity, privacy, and configuration management.

Preferred Qualifications

  • Experience supporting Department of Defense, Federal Government, or large-scale mission systems.
  • Experience with logistics, supply chain, transportation, financial, geospatial, sensor, or transactional data analytics.
  • Experience with AWS services such as SageMaker, Bedrock, Lambda, Glue, S3, IAM, CloudWatch, and related AI/ML or data services.
  • Experience with MLOps, CI/CD pipelines, Kubernetes, Docker, Terraform, or similar DevSecOps tooling.
  • Experience with Large Language Models, Generative AI, graph neural networks, time-series analytics, anomaly detection, fraud detection, insider threat detection, or recommendation engines.
  • Experience supporting RMF, ATO, STIG, ACAS remediation, POA&M development, or Section 508 compliance.
  • Active or previous Tier 3 (T3), NACLC, IT-II, or higher background investigation or clearance eligibility.

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