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Ai Implementation Jobs in Springfield, VA (NOW HIRING)

ECS

AI Methodologist

Springfield, VA · On-site

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 ...

AMA CONSULTING LLC.

AI Governance Lead

Lanham, MD · On-site

AI Governance Lead The AI Governance Lead will design and implement the AI governance framework embedded within AMA's AI assurance platform. This role will ensure alignment with federal AI policy ...

Vantor

AI/ML Engineer (Senior)

Arlington, VA · On-site

$120.40K - $165.40K/yr

... AI implementation and represents capabilities to senior stakeholders. • Active Top Secret clearance with CI Polygraph. Preferred : • Experience with cloud platforms (e.g., AWS, Azure, or GCP) • ...

Vantor

AI/ML Engineer (Senior)

Washington, DC · On-site

$117.90K - $161.90K/yr

... AI implementation and represents capabilities to senior stakeholders. • Active Top Secret clearance with CI Polygraph. Preferred : • Experience with cloud platforms (e.g., AWS, Azure, or GCP) • ...

Vantor

AI/ML Engineer (Senior)

Reston, VA · On-site

$108.90K - $149.60K/yr

... AI implementation and represents capabilities to senior stakeholders. • Active Top Secret clearance with CI Polygraph. Preferred : • Experience with cloud platforms (e.g., AWS, Azure, or GCP) • ...

Citian

AI Integration Engineer

Washington, DC · On-site

$117.80K - $158.60K/yr

As an AI Integration Engineer at Citian, you'll lead efforts incorporating AI into our products, bridging civil engineering domain knowledge with practical AI implementation. You will work alongside ...

T12 TECHNOLOGIES LLC

AI Solutions Architect

Washington, DC · On-site +1

$165K - $185K/yr

Define technical standards, guardrails, and best practices for AI implementation across the ... engagement. Evaluate and select models, frameworks, and tooling appropriate to business and ...

New

Cvent

AI Architect

Tysons, VA · On-site

$63.75 - $84/hr

Architect and implement the systems infrastructure underpinning client services platforms-designing for reliability, scalability, and security across all customer touchpoints. Own technical decisions ...

Deloitte

AI Data Engineer Manager

Mclean, VA · On-site

... implementations. Responsibilities : • Lead the data architecture and engineering delivery that enables AI/ML/GenAI solutions, ensuring data is trusted, secure, observable, and scalable from ...

Deloitte

AI Data Engineer - Manager

Mclean, VA · On-site

... implementations, while identifying misaligned initiatives and impractical use cases. • Design end-to-end AI architectures, from data ingestion to model deployment, integrating with cloud and on ...

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$40.7K

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How much do ai implementation jobs pay per year?

As of May 31, 2026, the average yearly pay for ai implementation in Springfield, VA is $108,128.00, according to ZipRecruiter salary data. Most workers in this role earn between $78,900.00 and $126,400.00 per year, depending on experience, location, and employer.

What is an AI Implementation job?

An AI Implementation job involves deploying artificial intelligence solutions within an organization to improve efficiency, automation, and decision-making. Professionals in this role work closely with data scientists, engineers, and business teams to integrate AI models into existing systems. They manage data pipelines, ensure model performance, and address challenges related to scalability and compliance. Strong technical skills, project management, and an understanding of business processes are essential for success in this role.

What are the key skills and qualifications needed to thrive in the Ai Implementation position, and why are they important?

To excel in AI Implementation, you need a robust understanding of machine learning concepts, data analysis, and software development, often supported by a degree in computer science or a related field. Familiarity with tools such as Python, TensorFlow, cloud platforms (AWS, Azure), and AI integration frameworks is commonly required, along with relevant certifications. Strong project management, problem-solving abilities, and excellent communication skills are crucial for coordinating with stakeholders and driving adoption. Mastering both technical and interpersonal skills ensures projects are delivered effectively and meet business objectives within diverse organizational settings.

What kinds of teams and departments does an AI Implementation professional typically collaborate with?

AI Implementation professionals usually work cross-functionally, interacting with data scientists, software engineers, IT departments, and business stakeholders to ensure AI solutions address specific business needs. Regular collaboration with product managers and operations teams helps align technical efforts with strategic objectives and regulatory requirements. You may also work closely with end users to gather feedback, refine implementations, and ensure a smooth adoption process. This collaborative environment not only enhances the quality of AI deployments but also offers valuable exposure to different aspects of the organization, fostering professional growth.
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Ai Implementation jobs near you
AI Methodologist

AI Methodologist

ECS

Springfield, VA • On-site

Full-time

Posted 19 days ago

Job description

Everforth ECS is seeking an AI Methodologist to work in our Fairfax, VA office.
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.

  • 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.

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