Jobs in the United States

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Senior Microsoft Intune / Endpoint Management Engineer
Insight Global
Remote, United States
- From $62 USD / hour
· Fluent in PowerShell scripting, including the ability to develop and troubleshoot scripts for automation and endpoint management.
Added 1 min ago
Organizational Transformation Consultant
University System of Georgia
UNG-Dahlonega, GA
…and identify opportunities where data, analytics, technology, automation, and artificial intelligence can improve service delivery, organizational efficiency, and student…
Added 1 min ago
Application developer lead
Starbucks Coffee Company
WA
Now Brewing – application developer lead! #tobeapartner
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Principal Engineer - TestRail
Sembi
Austin, TX
Sembi leads the market in test case management with TestRail, Xray, and Testmo, alongside Ranorex for test automation, Hexawise for combinatorial test design, and Kiuwan and PreEmptive for…
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Principal Software Engineer
Baylor Genetics
Houston, TX
Experience: 8–12+ years of experience with deep technical expertise and demonstrated leadership in enterprise-scale software, bioinformatics, or automation platforms.
Added 1 min ago
Staff Application Engineer – High-Speed Interfaces & System Validation
Renesas Electronics
Tempe, AZ
Tool Development: Create and maintain bench automation software for data collection, as well as simulation models and tools to analyze various system levels (e.g., chip, board, and system).
Added 2 mins ago
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Senior Platform Engineer - Microsoft
Trupanion
Seattle
- $145,000 to $155,000 USD / year
Evaluate existing Microsoft 365 E5 capabilities and identify opportunities to improve adoption, security, automation, compliance, and cost efficiency
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Solutions & Platform Architect - Microsoft
Trupanion
Seattle
- $145,000 to $165,000 USD / year
Powershell, Microsoft Graph, REST APIs, Azure Automation
Added 2 mins ago
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Software Architect - Insurance Platforms
Trupanion
Seattle
- $170,000 to $190,000 USD / year
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Manager Marketing Technology & Data
Nashville, TN
This position requires incumbents to be onsite in the Nashville main office 5 days per week
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Driving Instructor in Training- PAID TRAINING
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Fresno, CA
- $16.9 to $20 USD / hour
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Gilroy, CA
- $16.9 to $22 USD / hour
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Richmond, CA
- $19.18 to $23 USD / hour
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Junior Business Analyst
CLEMU Clemson University
SENECA, SC
Added 4 mins ago
Lead Developer – DOJ Application Development & Maintenance
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Washington, DC
Manhattan Strategy Group (MSG) is looking for an experienced Lead Developer to direct application development and maintenance for a mission-critical, cloud-hosted enterprise application…
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Principal Software Engineer
Chewy
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…AI-powered customer engagement, agent assistance, and workflow automation. You will play a critical role in shaping the architecture that connects these capabilities, ensuring we build…
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Claims Analytics Analyst - Remote
Allstate
Remote, United States
- $60,000 to $98,450 USD / year
Nice to have: Python for data manipulation, analysis, and task automation; Apache Airflow for workflow development and management; and Github or Azure DevOps for version control and code…
Added 4 mins ago
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IT Software Dev Test Sr
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Remote, United States
- $57.85 to $67.85 USD / hour
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Added 4 mins ago
Senior Software Engineer - Security
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Workforce Management Analyst, Claims Operations - Meritain TPA
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Remote, United States
…overtime, vendor capacity, training/ramp assumptions, utilization, automation, productivity, and incoming claims…
Added 4 mins ago
Regulatory Affairs Specialist
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Business Systems Analyst
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Identify opportunities to improve workflows, eliminate manual processes, and increase efficiency through system enhancements and automation.
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VLSI ASIC Verification Engineer
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Automation & Regressions: Maintain automated regression suites using scripting languages like Python, Perl, or Tcl .

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