Artificial Intelligence/Machine Learning Engineer, Senior

Posted 2 Days Ago
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Annapolis Junction, MD, USA
In-Office
108-147 Hourly
Senior level
Artificial Intelligence • Software • Cybersecurity • Defense
The Role
Develop and deploy enterprise-scale AI and machine learning solutions for secure government and intelligence missions. Build LLM-powered workflows, agent-based automation, data pipelines, and production ML systems. Integrate AI into operational platforms, conduct model evaluation and testing, optimize workflows, and ensure scalability, reliability, security, and governance. Collaborate with mission users, analysts, software developers, and leadership while providing technical guidance and mentoring.
Summary Generated by Built In
Job TitleArtificial Intelligence/Machine Learning Engineer, Senior Overview

EverWatch is a government solutions company providing advanced defense, intelligence, and deployed support to our country’s most critical missions.  We are a full-service government solutions company. Harnessing the most advanced technology and solutions, we strengthen defenses and control environments to preserve continuity and ensure mission success.


EverWatch employees are focused on tackling the most difficult challenges of the US Government. We offer the best salaries and benefits packages in our industry - to identify and retain the top talent in support of our critical mission objectives.


Commitment to Non-Discrimination:

All qualified applicants will receive consideration for employment without regard to disability, status as a protected veteran or any other status protected by applicable federal, state, local, or international law.

Responsibilities

Cyber and intelligence analysts rely on multi-step workflows that are time-sensitive, detail-rich, and critical to national security. As an AI/ML Engineer at EverWatch Solutions, you will work directly with mission users to develop and deploy artificial intelligence and machine learning solutions that enhance operational workflows, improve data accessibility, and support rapid decision-making in secure environments.


You will collaborate with operators, analysts, software developers, and mission leadership to capture operational needs and translate them into effective AI-enabled capabilities. Your work may include developing LLM-powered workflows, agent-based automation, and other AI/ML solutions that streamline analytical tasks and improve mission effectiveness.


You will support the integration of AI capabilities into existing operational systems while ensuring solutions are reliable, scalable, and compliant with security and governance requirements in classified environments. Additionally, you will contribute to data pipeline development, model evaluation, workflow optimization, and operational testing to support production-ready AI solutions.


Join us. The world can’t wait.


Qualifications

You Have: 

  • Experience with architecting and delivering enterprise-scale AI/ML solutions in professional or mission-oriented environments
  • Experience with large language models (LLMs), generative AI systems, and agentic AI development, including production deployment
  • Experience with designing and implementing end-to-end machine learning pipelines, including data engineering, model training, evaluation, deployment, and monitoring
  • Experience with providing technical leadership and mentoring engineering teams across complex development efforts
  • Knowledge of Python for AI/ML development, data engineering, and pipeline construction at an expert level
  • Ability to communicate complex technical concepts effectively to both technical and non-technical stakeholders
  • TS/SCI clearance with a Polygraph
  • Bachelor's degree in Computer Science, Data Science, Electrical Engineering, Mathematics, Statistics, or a related technical field with 10+ years of relevant experience; Master's degree with 7+ years; or PhD with 4+ years of relevant AI/ML or data science experience

Nice If You Have: 

  • Experience with deep learning frameworks such as PyTorch or TensorFlow
  • Experience with cloud platforms such as AWS, Azure, or GCP, as well as distributed computing frameworks
  • Experience with containerization and orchestration tools such as Docker and Kubernetes
  • Experience with designing and implementing MLOps platforms, including end-to-end model lifecycle management and automated retraining systems
  • Experience with natural language processing (NLP) techniques, including topic modeling, text classification, named entity recognition, and semantic/vector search
  • Experience with multi-modal data processing across text, imagery, speech, and video modalities
  • Experience with contributing to technical proposals, RFP responses, and government white papers
  • Experience with supporting DoD or Intelligence Community programs
  • Knowledge of agentic AI frameworks, multi-agent architectures, and intelligent orchestration patterns
  • Knowledge of security requirements and compliance frameworks for AI/ML systems operating in government environments
  • Ability to apply AI/ML technologies within secure government and mission-focused environments

Clearance:

Applicants selected will be subject to a security investigation and may need to meet eligibility requirements for access to classified information; TS/SCI clearance with a polygraph is required.  



Compensation at EverWatch is determined by various factors, including but not limited to location, the individual’s particular combination of education, knowledge, skills, competencies, and experience, as well as contract-specific affordability and organizational requirements. The projected compensation range for this position is $108.17 to $146.63 per hour. The estimate displayed represents the typical compensation range for this position and is just one component of EverWatch’s total compensation package for employees.

Job LocationsUS-MD-Annapolis Junction SkillsAI/ML, LLM, API, Python MinMax

Skills Required

  • Experience architecting and delivering enterprise-scale AI/ML solutions in professional or mission-oriented environments
  • Experience with large language models, generative AI systems, and agentic AI development, including production deployment
  • Experience designing and implementing end-to-end machine learning pipelines, including data engineering, model training, evaluation, deployment, and monitoring
  • Experience providing technical leadership and mentoring engineering teams across complex development efforts
  • Expert-level Python for AI/ML development, data engineering, and pipeline construction
  • Ability to communicate complex technical concepts to technical and non-technical stakeholders
  • TS/SCI clearance with a polygraph
  • Bachelor's degree in Computer Science, Data Science, Electrical Engineering, Mathematics, Statistics, or related technical field with 10+ years of relevant experience; or Master's degree with 7+ years; or PhD with 4+ years of relevant AI/ML or data science experience
  • Experience with deep learning frameworks such as PyTorch or TensorFlow
  • Experience with cloud platforms such as AWS, Azure, or GCP and distributed computing frameworks
  • Experience with Docker and Kubernetes
  • Experience designing and implementing MLOps platforms and automated retraining systems
  • Experience with NLP techniques including topic modeling, text classification, named entity recognition, and semantic/vector search
  • Experience with multimodal data processing across text, imagery, speech, and video
  • Experience contributing to technical proposals, RFP responses, and government white papers
  • Experience supporting DoD or Intelligence Community programs
  • Knowledge of agentic AI frameworks, multi-agent architectures, and intelligent orchestration patterns
  • Knowledge of security requirements and compliance frameworks for AI/ML systems in government environments
  • Ability to apply AI/ML technologies in secure government and mission-focused environments
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The Company
245 Employees
Year Founded: 2017

What We Do

EverWatch is a government solutions and technology company supporting U.S. defense and intelligence agencies. It delivers mission-ready software, cyber and analytical services, secure systems, and operational support for high-stakes federal missions. Its capabilities include artificial intelligence and machine learning, cybersecurity, software and analytics development, cloud services, signals intelligence, data science, and mission deployment, with an emphasis on classified, national-security environments.

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