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Contract Ai Implementation Jobs in Virginia (NOW HIRING)

AI Methodologist

Fairfax, VA ยท On-site

$190K - $210K/yr

Please Note: This position is contingent upon contract award. Everforth ECS is seeking an ... Develop and implement comprehensive implementation plans that enable analysts to leverage AI ...

Please Note: This position is contingent upon contract award. Everforth ECS is seeking an ... Develop and implement comprehensive implementation plans that enable analysts to leverage AI ...

... contract. We're now hiring a Forward Deployed Engineer to help accelerate adoption of Arbi in both ... AI Workflow Engineering * Design and implement AI-powered workflows using LLMs, RAG, structured ...

Most contracts allow additional experience (4-5 years) in lieu of a Bachelor's Degree. Some ... Experience in edge AI implementation * Expertise in natural language processing * Proficiency in ...

Most contracts allow additional experience (4-5 years) in lieu of a Bachelor's Degree. Some ... Experience in edge AI implementation * Expertise in natural language processing * Proficiency in ...

Most contracts allow additional experience (4-5 years) in lieu of a Bachelor's Degree. Some ... Experience in edge AI implementation * Expertise in natural language processing * Proficiency in ...

Our AI platform, 1Exiger, delivers instant visibility into complex supplier ecosystems, leveraging ... The individual will lead client interactions from contract signature until implementation ...

Contracts Manager

Reston, VA ยท On-site

$92K - $123K/yr

Implement automation and AI into review processes to increase efficiency. Required Qualifications: * Existing familiarity with construction contract language implications (in Virginia, DC and ...

Contracts Manager

Reston, VA ยท Hybrid

$92K - $123K/yr

Implement automation and AI into review processes to increase efficiency. Required Qualifications: * Existing familiarity with construction contract language implications (in Virginia, DC and ...

Contracts Manager

Reston, VA ยท Hybrid

$92K - $123K/yr

Implement automation and AI into review processes to increase efficiency. Required Qualifications: * Existing familiarity with construction contract language implications (in Virginia, DC and ...

Contracts Manager

Reston, VA ยท Hybrid

$92K - $123K/yr

Implement automation and AI into review processes to increase efficiency. Required Qualifications: * Existing familiarity with construction contract language implications (in Virginia, DC and ...

... Contract Need 10+ years of experience resumes and need locals to VA or nearby location. - We are ... Design and implement task-specific AI subagents (e.g., ""Code Reviewer,"" ""SQL Expert ...

Counsel

Falls Church, VA ยท On-site

$153K - $260K/yr

Key Responsibilities 1. Optimizing M365 and AI Implementation * Partner with the BAE Systems ... contracts, and IT hardware procurement. * Execute the legal strategy for enterprise-wide software ...

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Showing results 1-20

Contract Ai Implementation information

What is the difference between Contract Ai Implementation vs Data Scientist?

AspectContract Ai ImplementationData Scientist
Required CredentialsTypically requires AI/ML certifications, programming skills, and project management experienceRequires degrees in data science, statistics, or related fields, often with advanced degrees
Work EnvironmentProject-based, client-focused, often freelance or consulting rolesFull-time or research roles within organizations or academia
Industry UsageUsed across various industries for specific AI projectsApplied in data analysis, research, and model development within organizations

Contract Ai Implementation professionals focus on delivering AI solutions on a project basis, often working with clients and requiring specific certifications. Data Scientists typically work within organizations, conducting research and developing models, often with advanced degrees. Both roles overlap in technical skills but differ in work setting and scope.

What is a Contract AI Implementation specialist?

A Contract AI Implementation specialist is a professional who helps organizations integrate artificial intelligence solutions into their contract management processes. This role involves assessing business needs, selecting appropriate AI technologies, and overseeing the deployment of tools that automate tasks like contract analysis, risk assessment, and compliance monitoring. The specialist ensures that the AI system aligns with legal standards and company policies while streamlining workflows and improving efficiency. They often collaborate with legal, IT, and procurement teams to ensure a smooth transition and optimal use of AI in managing contracts.

What are the key skills and qualifications needed to thrive as a Contract AI Implementation Specialist, and why are they important?

To thrive as a Contract AI Implementation Specialist, you need expertise in AI concepts, contract management, and a relevant technical or business degree, often with experience in legal tech or AI deployment. Familiarity with tools such as contract lifecycle management (CLM) platforms, machine learning frameworks, and data integration systems is typically required. Strong problem-solving, communication, and project management skills help you collaborate across legal, IT, and business teams. These skills ensure successful AI-driven contract solutions that streamline workflows, minimize risk, and deliver business value.

What are some common challenges faced by professionals in Contract AI Implementation roles, and how can they be addressed?

Professionals working in Contract AI Implementation often encounter challenges such as integrating AI solutions with existing contract management systems, ensuring data privacy and security, and managing change within the organization. To address these, it's important to work closely with IT and legal teams, prioritize stakeholder communication, and provide comprehensive training to end-users. Staying up to date with evolving AI technologies and regulatory requirements also helps in proactively identifying and mitigating risks during implementation.
What are the most commonly searched types of Ai Implementation jobs in Virginia? The most popular types of Ai Implementation jobs in Virginia are:
What job categories do people searching Contract Ai Implementation jobs in Virginia look for? The top searched job categories for Contract Ai Implementation jobs in Virginia are:
Infographic showing various Contract Ai Implementation job openings in Virginia as of July 2026, with employment types broken down into 57% Full Time, and 43% Contract. Highlights an 49% In-person, and 51% Remote job distribution.
AI Methodologist

AI Methodologist

ECS

Fairfax, VA โ€ข On-site

$190K - $210K/yr

Full-time

Posted 19 days ago


Job description

Everforth ECS is seeking an AI Methodologist to work in our Fairfax, VA office. Please Note: This position is contingent upon contract award.
Everforth ECS is seeking an exceptional Artificial Intelligence (AI) Methodologist to support National Geospatial-Intelligence Agency (NGA) modernization initiatives in alignment with DoD AI implementation strategy and guidance.
This role represents the convergence of cutting-edge artificial intelligence, operational intelligence tradecraft, and strategic impact - all within an organization that genuinely values career growth and contribution to national security.
At Everforth ECS, you'll have the mandate to challenge conventional approaches and the authority to drive change. You will partner directly with analytic teams to understand their most pressing intelligence questions, and design and implement AI solutions that others said could not be done. Build the adoption roadmap. Set the strategy. Execute the vision. This is leadership disguised as a technical role, within an organization that empowers, rather than micromanages.
This role demands a talented individual who can navigate the complex landscape of acquisition, security, integration, and operational deployment across both GOTS (Government Off-The-Shelf) and COTS (Commercial Off-The-Shelf) environments. You'll assess when to leverage existing government investments, when commercial solutions offer superior capabilities, and how to architect hybrid approaches that deliver the best of both worlds while maintaining security, compliance, and operational effectiveness.
Responsibilities:
Transform Intelligence Production Through Smart Integration:
  • Support NGA modernization activities in accordance with DoD AI strategy.
  • Design AI integration strategies that compress multi-day analytic workflows into hours by intelligently combining GOTS / COTS capabilities.
  • Assess the GOTS / COTS landscape to determine optimal solutions for specific intelligence problems: when to leverage NGA's internal investments, when to integrate commercial platforms, and how to architect hybrid solutions.
  • Eliminate bottlenecks where automation stops and manual work begins, regardless of whether solutions come from government development or commercial acquisition.

Navigate the Acquisition and Integration Ecosystem:
  • Evaluate emerging COTS AI platforms and services for applicability to NGA missions and security requirements.
  • Balance the speed and innovation of commercial solutions with the security, reliability, and mission-specificity of government-developed tools.

Enable Analytic Excellence and Training:
  • Embed with intelligence teams to deeply understand their Priority Intelligence Questions and operational constraints.
  • Develop and implement comprehensive implementation plans that enable analysts to leverage AI-enhanced workflows effectively.
  • Conduct on the job training to accelerate adoption of best practices.
  • Faciliate leadership briefings and demonstrations.
  • Translate analyst expertise into requirements that AI can augment.
  • Guide teams in leveraging the full spectrum of available capabilities: government-developed tradecraft tools, enterprise AI platforms, commercial ML services, and emerging technologies.

Drive Strategic Adoption:
  • Develop incremental AI implementation roadmaps that build confidence, demonstrate value, and accelerate toward transformation.
  • Champion AI integration that enhances tradecraft rather than undermining it, ensuring solutions maintain security and compliance regardless of origin.
  • Measure what matters: faster analysis, higher confidence assessments, greater analytic capacity, and return on investment across GOTS / COTS expenditures.

Serve as Technology Advisor and Innovation Scout
  • Maintain awareness of emerging COTS AI capabilities, commercial platforms, and industry trends that could benefit NGA missions.
  • Advise leadership on technology investment strategies: when to build GOTS, when to buy COTS, and when to partner.
  • Build relationships with commercial vendors, government labs, and IC technology organizations to stay at the forefront of AI innovation.

Salary Range: $190,000 - $210,000
General Description of Benefits
  • Active TS/SCI with Counterintelligence (CI) and/or Full-scope (FS) polygraph, and the willingness / ability to obtain a Lifestyle polygraph.
  • Ability to work an alternate work schedule (including night shifts) as required.
  • Bachelor's Degree and 15+ years of experience in intelligence analysis, with deep understanding of intelligence and operations cycles in a U.S. military or Intelligence Community (IC) environment.
  • Demonstrated expertise and actual hands-on implementation experience applying AI/ML to real-world intelligence problems (not just theoretical knowledge).
  • Ability to code in PYTHON and HTML.
  • Mastery of NGA tools, tradecraft, and analytic methodologies - you'll need credibility with working-level analysts who've seen every "solution" pitch before.
  • Experience as an imagery analyst, with expertise in analyzing and exploiting Full Motion Video (FMV).
  • Deep understanding of object-based production and GEOINT workflows in operational contexts.
  • Fluency with DoD and IC information environments and the multi-source data ecosystem NGA depends on.
  • Understanding of both GOTS and COTS acquisition, integration, and operational deployment challenges in classified environments.
  • Ability to evaluate commercial AI technologies for applicability, security implications, and integration feasibility in national security contexts.
  • Excellent interpersonal and communication skills with proven ability to work independently in dynamic, high-tempo operational environments.
  • Excellent analytical writing and briefing skills, with experience providing planned and ad-hoc briefings for senior leadership.
  • Demonstrated instructional capabilities, to include developing and implementing training plans and curriculum Familiarity with commercial AI platforms (AWS AI/ML services, Azure AI, Google Cloud AI, commercial computer vision platforms, etc.) and their potential integration into government workflows.
  • Self-starter mentality with a customer-focused approach to delivering technology in operational environments.