Jobs in the United States

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Security Engineer
Modular
Remote, United States
4+ years of experience in security engineering, application security, or software or infrastructure engineering with a security focus.
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ZG
Java Full-Stack Developer
ZAPCOM GROUP INC
Mountain View, CA
- $65 to $70 USD / hour
7+ years of professional software engineering experience preferred.
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SI
Functional Analyst (Hybrid) (Secret Clearance Required)
SOLERITY INC
O'Fallon, IL
- $55,000 to $65,000 USD / year
…visionary leader in providing unparalleled information technology, engineering, cloud services, program management, and consulting services to the US Federal Government and Intel Community.…
Added just now
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Help Desk Support (Hybrid) (Secret Clearance Required)
SOLERITY INC
O'Fallon, IL
- $55,000 to $65,000 USD / year
…visionary leader in providing unparalleled information technology, engineering, cloud services, program management, and consulting services to the US Federal Government and Intel Community.…
Added 1 min ago
Subject Matter Expert
Nightwing Intelligence Solutions, LLC
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Network Forensics Analyst
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Arlington, VA
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Senior Engineer
City of Durham
Durham, NC
- $38.01 to $58.91 USD / hour
Devoted to providing engineering support, inspection and professional civil engineering for a variety of public works, utilities, storm water, and transportation facilities/projects as well…
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Intern/Co-op – Geotechnical Engineering (Summer 2027)
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Perform calculations and learn to perform engineering analyses; learn geotechnical engineering software;
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Bachelor’s or Master’s degree in Environmental Science, Occupational Health & Safety, Engineering, or related field.
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Data Systems Architect
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- $130,000 to $176,000 USD / year
Bachelor’s degree in computer science, software engineering, engineering, physics, astronomy, or a related field, or equivalent practical experience.
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(1121104) Autonomous Truck Integration & Validation Engineer
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…exposure to large machinery, autonomous systems (hardware, software, and customer usage), and the full test and validation lifecycle. The role works closely with a 31-person team, onsite…
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Application developer lead
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Develops software solutions to business problems. Leverages established design patterns and coding standards. Ensures solutions are secure, durable, scalable, flexible, and accessible and…
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Project Manager I - Structured Cabling
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Bachelor’s degree in Construction, Civil, Mechanical, or Electrical Engineering or Construction Management, or equivalent experience
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Principal Software Engineer
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Education: Bachelor’s degree in Computer Science, Information Systems, Software Engineering, Data/Analytics, or related field; Master’s degree preferred.
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Work with engineering, software, QA, production, shipping, customer support, customers, installers, vendors, and subcontractors to keep work progressing.
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Staff Application Engineer – High-Speed Interfaces & System Validation
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Senior Financial Manager
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Senior Platform Engineer - Microsoft
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Seattle
- $145,000 to $155,000 USD / year
Own the engineering, configuration, governance, and operational support of Microsoft Office applications, including Outlook, Teams, Word, Excel, PowerPoint, OneDrive, SharePoint, and…
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Solutions & Platform Architect - Microsoft
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Seattle
- $145,000 to $165,000 USD / year
…and Zero Trust architecture. This role will lead the design, engineering, deployment, and operational maturity of Microsoft Entra ID, Identity Governance, Policies, Intune, Windows…
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Sr. Developer Experience Manager
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- $160,000 to $175,000 USD / year
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Software Architect - Insurance Platforms
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- $170,000 to $190,000 USD / year
Trupanion is seeking a Software Architect who is responsible for designing and evolving scalable, secure, and maintainable technology solutions that power Trupanion's Insurance Platform…
Added 2 mins ago
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Manager, Software Development - Web & Mobile Applications
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- $150,000 to $160,000 USD / year
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Added 3 mins ago
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Software/Systems Engineering Intern (Summer 2027)
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Middletown, RI
- $27.3 to $30.7 USD / hour
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Modern Technology Solutions Inc

Artificial Intelligence/Machine Learning SME

Alexandria, VA, United States
Alexandria, United States

Apply on talent.mtsi-va.com About employer

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Job details

Apply by: May 11, 2027
Experience: 12+ years of technical leadership experience in a technical field.
Posting language: English
Posted: Nov 12, 2026

Original job description

As an Artificial Intelligence/Machine Learning Subject Matter Expert, you’ll be leading strategic initiatives that establish and grow MTSI’s AI and data engineering capabilities. Your technical vision coupled with hands-on experience will shape reference architectures and charge forward on delivery of secure, scalable solutions.

Your role includes translating customer and mission needs into practical solutions, guide technology investments, and moving capabilities from experimentation into sustained production operations, spanning data engineering, analytics, artificial intelligence, machine learning, and MLOps.

Day‑to‑day responsibilities include leading AI/ML development and integration of machine learning and generative AI capabilities, including retrieval-augmented generation, model adaptation, evaluation, and inference services for data fabric systems.

You’ll be leveraging ML Operation and LLM Operation technic and workflows for data and model versioning, experiment tracking, automated testing, automated deployment, monitoring, retraining, rollback, and retirement. Address model drift, performance degradation, operational cost and reproducibility.

You’ll have expert knowledge and experience; in data modeling, distributed data processing, relational, graph, vector and time series databases and data lakes, with proven experience delivering and operating production AI/ML capabilities, including the data pipelines and operational processes that support them.

Help define evaluation, human oversight, auditability, and safeguards appropriate to each use case, including protection of sensitive data and management of third-party model dependencies.

Work Location:

This position is a hybrid position. Work location will be determined by security classification.

Classified work will be performed on-site at MTSI’s Alexandria office. Remote work is not available.
Unclassified work can be performed remotely or on-site at MTSI’s Alexandria office.

You’ll be a great fit for this role if: (SOFT SKILLS)

Proactive problem‑solver, able to troubleshoot complex issues across applications, containers, databases, and cluster infrastructure.
Strong collaboration skills, with a proven ability to work closely with software, UX, QA, platform, and product teams in fast‑moving mission environments.
Effective communication of technical concepts to diverse stakeholders, including coaching mid-level developers and guiding engineering teams.
Demonstrate leadership in Agile environments, contributing to sprint planning, backlog refinement, demos, and cross‑team knowledge sharing.
Adaptable in dynamic mission environments, with experience supporting rapid modernization and evolving architectural patterns.
Detail‑oriented and committed to secure, maintainable engineering practices through documentation, design reviews, and continuous improvement.

Responsibilities:

Your essential job functions will include but may not be limited to:

AI/ML Engineering: Lead development and integration of machine learning and generative AI capabilities, including retrieval-augmented generation, model adaptation, evaluation, and inference services
AI Strategy and Investment: Develop an AI and data capability roadmap aligned with business initiatives, customer needs and mission outcomes. Guide internal research and development, technology selection, partnerships, and build-versus-buy decisions.
MLOps and LLMOps: Establish repeatable workflows for data and model versioning, experiment tracking, automated testing, deployment, monitoring, retraining, rollback, and retirement. Address model drift, performance degradation, operational cost and reproducibility.
Data Architecture: Design architectures for data ingestion, integration, storage, processing, discovery, and consumption across cloud, on-premises, and hybrid environments.
Data Engineering: Lead implementation of reliable batch and streaming pipelines, data products, APIs and reusable integration patterns for structured and unstructured data.
Data Governance: Establish practices for data ownership, quality, metadata, lineage, provenance, access control, retention and interoperability working with CDO.
Platform Integration: Partner with platform engineering and infrastructure teams to integrate AI and data services with Kubernetes, CI/CD, infrastructure as code, identity, observability, and enterprise security controls.
Responsible AI and Security: Define evaluation, human oversight, auditability, and safeguards appropriate to each use case, including protection of sensitive data and management of third-party model dependencies.
Mission and Engineering Integration: Connect AI and data capabilities with Digital Engineering, high fidelity MS&A, MBSE, engineering tools and mission analysis workflows
Technical leadership: Mentor engineers and data scientists, establish engineering standards, lead architecture reviews and help recruit a multidisciplinary team

Qualifications Required:

18+ years combined relevant technical experience in AI, data, software development and platform development.
12+ years of technical leadership experience in a technical field.
Demonstrated experience delivering and operating production AI/ML capabilities, including the data pipelines and operational processes.
Hands-on proficiency with Python, SQL, APIs and modern software engineering practices including DevSecOps and Agile methods.
Experience implementing DataOps and MLOps workflows, including model evaluation, versioning, automated deployment and production monitoring
Experience with cloud platforms, containers, Kubernetes, CI/CD and infrastructure automation
Ability to translate business and mission objectives into technical architectures, prioritized roadmaps and measurable outcomes
Proven ability to lead across software engineering, data science, infrastructure, cybersecurity and business teams
Strong written and verbal communication skills, including communication with customers and executive leadership

Additional Skills:

Experience developing functional systems, system architecture and working prototypes, using Model-based Systems Engineering approach.
Exposure and understanding of modeling and simulation practices and data types.

Education:

Bachelor’s degree in computer science, engineering, mathematics, data science, or a related field, or equivalent relevant experience.

Citizenship:

Must be a US Citizen.

Clearance Requirements:

Must have Secret DoD Security Clearance.

Apply on talent.mtsi-va.com About employer

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Jobs in the United States