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Encompass Software Training Jobs in Virginia (NOW HIRING)

IntelliGenesis LLC

Senior AI Engineer

Reston, VA · On-site

$215K - $245K/yr

You will work closely with cyber operators, software engineers, and infrastructure teams to deliver ... Architect and implement scalable MLOps pipelines for training, validation, and deployment * Deploy ...

IntelliGenesis

Senior AI Engineer

Reston, VA · On-site

$215 - $245/hr

You will work closely with cyber operators, software engineers, and infrastructure teams to deliver ... Architect and implement scalableMLOpspipelines for training, validation, and deployment * Deploy AI ...

IntelliGenesis

Senior AI Engineer

Reston, VA · On-site

You will work closely with cyber operators, software engineers, and infrastructure teams to deliver ... Architect and implement scalable MLOps pipelines for training, validation, and deployment * Deploy ...

The Tustin Group

Customer Experience Coordinator

Manassas, VA · On-site

$18 - $23.50/hr

Comprehensive Onboarding & Training - We set you up for success with structured support, so you can ... Responsibilities encompass coordinating field service technicians' schedules, managing customer ...

Dollar Tree

Associate Product Manager

Chesapeake, VA · On-site

$67K - $75K/yr

Core activities encompass the establishment, management, and resolution of program/item sourcing ... Software: High proficiency with Microsoft Office (Access, Excel, Word, and PowerPoint). Advanced to ...

Dollartree

Associate Product Manager

Chesapeake, VA · On-site

$67K - $75K/yr

Core activities encompass the establishment, management, and resolution of program/item sourcing ... Software: High proficiency with Microsoft Office (Access, Excel, Word, and PowerPoint). Advanced to ...

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All JobsEncompass Software Training JobsEncompass Software Training Jobs in Virginia

Encompass Software Training information

What is the difference between Encompass Software Training vs Mortgage Loan Officer?

AspectEncompass Software TrainingMortgage Loan Officer
CredentialsTypically requires training certifications, industry coursesRequires licensing, such as NMLS registration
Work EnvironmentClassroom, online training, or corporate settingsBank, mortgage company, or lending institution
Industry UsageUsed by professionals learning Encompass softwareHandles mortgage applications and client consultations

Encompass Software Training focuses on teaching users how to operate the Encompass platform, often through certifications and courses. In contrast, a Mortgage Loan Officer actively manages mortgage applications, interacts with clients, and requires licensing. While both roles are within the mortgage industry, their functions and credentials differ significantly.

What are popular job titles related to Encompass Software Training jobs in Virginia?

For Encompass Software Training jobs in Virginia, the most frequently searched job titles are:

What job categories do people searching Encompass Software Training jobs in Virginia look for?

The top searched job categories for Encompass Software Training jobs in Virginia are:

What cities in Virginia are hiring for Encompass Software Training jobs?

Cities in Virginia with the most Encompass Software Training job openings:

Encompass Software Training jobs near you
Infographic showing various Encompass Software Training job openings in Virginia as of July 2026, with employment types broken down into 1% As Needed, 78% Full Time, 18% Part Time, and 3% Contract. Highlights an 88% Physical, 1% Hybrid, and 11% Remote job distribution.

Senior AI Engineer

IntelliGenesis LLC

Reston, VA • On-site

$215K - $245K/yr

Full-time

Medical, Life, Retirement, PTO

Posted 16 days ago

Job description

Job Description:
IntelliGenesis is seeking a Senior AI Engineer to lead the design, development, and deployment of production-grade AI systems supporting mission-critical intelligence operations. This role focuses on transitioning AI/ML capabilities from concept to operational environments, including classified and resource-constrained settings.
A day in the life includes architecting scalable AI pipelines, deploying models to edge and cloud environments, integrating AI into cybersecurity workflows, and mentoring junior engineers. You will work closely with cyber operators, software engineers, and infrastructure teams to deliver impactful, real-world AI capabilities-not just research prototypes.
The team dynamic is highly collaborative and mission-driven, consisting of AI engineers, cyber SMEs, and platform engineers working in agile sprints. This role serves as a technical leader and mentor, guiding best practices in MLOps, DevSecOps, and secure AI deployment.
  • Lead end-to-end AI system design, development, and deployment
  • Architect and implement scalable MLOps pipelines for training, validation, and deployment
  • Deploy AI/ML models to cloud, on-prem, and edge environments
  • Integrate AI capabilities into cybersecurity tools and operational workflows
  • Ensure system security, including adversarial robustness and secure model deployment
  • Collaborate with cross-functional teams (cyber, infrastructure, software engineering)
  • Mentor mid-level engineers and provide technical oversight
  • Rapidly prototype AI solutions and transition them into production systems
  • Ensure compliance with DoD Risk Management Framework (RMF) requirements
Required Qualifications:
  • Must be a U.S. Citizen
  • Active TS/SCI Clearance and Polygraph required
  • 8+ years of experience in AI/ML engineering, software engineering, or related field
  • Bachelor's degree in Computer Science, Engineering, or related field
  • Strong experience deploying AI/ML models into production environments
  • Expertise in Python and at least one additional language (e.g., C++, Go)
  • Experience with MLOps tools (e.g., Kubernetes, Docker, MLflow, Kubeflow, VMWare, Tanzu)
  • Experience with cloud and hybrid infrastructure (AWS, Azure, or DoD cloud environments)
  • Knowledge of DevSecOps and infrastructure-as-code (e.g., Terraform, Ansible)
  • Experience with model serving, monitoring, and lifecycle management
  • Familiarity with cybersecurity concepts and secure system design
  • Experience working in classified or regulated environments (DoD/IC preferred)
Desired Qualifications:
  • Master's degree
  • Experience with adversarial machine learning and AI security
  • Background in cyber operations or network traffic analysis
  • Experience deploying models in edge or disconnected environments
  • Familiarity with large language models (LLMs) and generative AI systems
  • Knowledge of secure enclaves and confidential computing
  • Prior experience supporting DoD or Intelligence Community missions
  • Relevant certifications (e.g., AWS Certified Solutions Architect, Security+, CISSP)

Compensation Range: $215,000 - $245,000
Compensation ranges encompass a total compensation package and are a general guideline only and not intended as a guaranteed and/or implied final compensation or salary for this job opening. Determination of official compensation or salary relies on several different factors including, but not limited to: level of position, complexity of job responsibilities, geographic location, candidate's scope of relevant work experience, educational background, certifications, contract-specific affordability, organizational requirements and alignment with local market data.
Our compensation includes other indirect financial components designed to support employees' total well-being, which should be considered when evaluating our competitive benefits package. These monetary benefits include medical insurance, life insurance, disability, paid time off, maternity/paternity leave, 401(k) company match, training/education reimbursements and other work/life programs.
IntelliGenesis is committed to providing equal opportunity to all employees and applicants for employment. The Company is an Equal Opportunity Employer (EOE), and as such, does not tolerate discrimination, retaliation, or harassment of its employees or applicants based upon race, color, religion, gender, sexual orientation, national origin, age, genetic information, disability, or any other protected characteristic under local, state, or federal law in any employment practice. Such employment practices include, but are not limited to: hiring, promotion, demotion, transfer, recruitment, or recruitment advertising, selection, disciplinary action layoff, termination, rates of pay, or other forms of compensation and selection of training.
IntelliGenesis is committed to the fair and equal employment of individuals with disabilities. It is the Company's policy to reasonably accommodate qualified individuals with disabilities unless the accommodation would impose an undue hardship on the organization. In accordance with the Americans with Disabilities Act (ADA) as amended, reasonable accommodations will be provided to qualified individuals with disabilities, when such accommodations are necessary, to enable them to perform the essential functions of their jobs or to enjoy the equal benefits and privileges of employment. This policy applies to all applicants for employment and all employees.

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