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Ai Implementation Jobs in Springfield, VA (NOW HIRING)

Celestar Corporation

Lead AI Architect - OBIQUA

Reston, VA · On-site

$57.50 - $78.75/hr

Develop AI architectures, frameworks, and implementation strategies aligned with mission requirements. Oversee AI model lifecycle management, performance evaluation, and operational deployment.

Ignite IT

Jr. AI Prompt Engineer

Ashburn, VA · On-site

Support rapid prototyping, testing, implementation, and continuous improvement of AI solutions. * Document AI use cases, workflows, findings, lessons learned, and recommendations. * Collaborate with ...

Phase2 Technology

Cybersecurity AI/ML Engineer

Mclean, VA · On-site

$77.60 - $176/hr

Design, configure, and implement enterprise cybersecurity operations solutions across identity ... Design, build, and deploy custom AI/ML solutions for cybersecurity, including model development ...

Guidehouse

AI Standards Engineer

Washington, DC

$85K - $141K/yr

Define, implement, and maintain engineering, quality, and operational standards that support AI Studio development within a secure, enterprise-scale environment. Ensure all AI solutions adhere to ...

New

Guidehouse

AI Standards Engineer

Mclean, VA

$85K - $141K/yr

Define, implement, and maintain engineering, quality, and operational standards that support AI Studio development within a secure, enterprise-scale environment. Ensure all AI solutions adhere to ...

New

Citian

AI Integration Engineer

Washington, DC · On-site

$117K - $158K/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 ...

Citian

AI Integration Engineer

Washington, DC

$117K - $158K/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 ...

Neuroscale AI

Forward Deployed Engineer

Reston, VA · On-site

AI Workflow Engineering * Design and implement AI-powered workflows using LLMs, RAG, structured evaluation rubrics, candidate scoring logic, document intelligence, and agentic automation. * Help ...

Analytica

Senior MLOps Engineer

Washington, DC · On-site

$118K - $162K/yr

Lead networking and integration efforts for AI/ML systems deployed in operational and exercise environments * Design and implement robust MLOps pipelines that support real-time decision-making ...

Analytica

Senior MLOps Engineer

Washington, DC · On-site

$117K - $161K/yr

Lead networking and integration efforts for AI/ML systems deployed in operational and exercise environments * Design and implement robust MLOps pipelines that support real-time decision-making ...

Worky

Senior Technology Developer (REMOTE)

Chantilly, VA · On-site

$120 - $160/hr

AI-Driven Optimization: Implement artificial intelligence solutions for platform consolidation, predictive analytics, and automated resource management * Cross-Platform Efficiency: Support efficient ...

New

kgs

Senior Technology Developer (REMOTE)

Chantilly, VA · On-site +1

$55.75 - $73.75/hr

AI-Driven Optimization: Implement artificial intelligence solutions for platform consolidation, predictive analytics, and automated resource management * Cross-Platform Efficiency: Support efficient ...

Koniag, Inc.

Senior Technology Developer (REMOTE)

Chantilly, VA · On-site +1

$55.75 - $73.75/hr

AI-Driven Optimization: Implement artificial intelligence solutions for platform consolidation, predictive analytics, and automated resource management * Cross-Platform Efficiency: Support efficient ...

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Showing results 21-40

All JobsAi Implementation JobsAi Implementation Jobs in Springfield, VA

Ai Implementation information

See Springfield, VA salary details

$40.7K

$108.1K

$175.5K

How much do ai implementation jobs pay per year?

As of Aug 19, 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?

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?

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.

How to become an AI implementation specialist?

To become an AI implementation specialist, individuals typically need a strong background in computer science, data science, or related fields, along with knowledge of machine learning, programming languages like Python, and AI frameworks such as TensorFlow or PyTorch. Gaining experience through internships, certifications, or projects involving AI deployment is also valuable. Continuous learning and staying updated on AI tools and industry trends are essential for success in this role.

How to get into AI implementation?

To pursue a career in AI implementation, develop strong skills in programming languages such as Python, understand machine learning frameworks like TensorFlow or PyTorch, and gain experience with data analysis and model deployment. Earning relevant certifications or degrees in computer science, data science, or AI can also enhance your qualifications.

What job categories do people searching Ai Implementation jobs in Springfield, VA look for?

The top searched job categories for Ai Implementation jobs in Springfield, VA are:

What cities near Springfield, VA are hiring for Ai Implementation jobs?

Cities near Springfield, VA with the most Ai Implementation job openings:

Ai Implementation jobs near you
Infographic showing various Ai Implementation job openings in Springfield, VA as of August 2026, with employment types broken down into 74% Full Time, 20% Part Time, 1% Temporary, and 5% Contract. Highlights an 63% Physical, 4% Hybrid, and 33% Remote job distribution, with an average salary of $108,128 per year, or $52 per hour.

Lead AI Architect - OBIQUA

Celestar Corporation

Reston, VA • On-site

$57.50 - $78.75/hr

Other

Medical, Dental, Life, Retirement, PTO

Posted 5 days ago

Job description

Celestar Corporation is seeking a Lead AI Architect to support the Defense Intelligence Agency (DIA) under the Object Based Intelligence and Quality Assurance (OBIQUA) task order. The primary place of performance will be at DIA Facilities across the National Capital Region (NCR). If interested and meet the qualifications, we encourage you to apply for this rewarding and impactful opportunity.
ANTICIPATED AWARD: October 2026
ANTICIPATED START: October 2026
PERIOD OF PERFORMANCE: 1 Base Year + 4 Option Years
LOCATION: DIA Facilities across the National Capital Region (NCR)
CLEARANCE REQUIREMENT: Active TS/SCI with a Current CI Poly (adjudicated within the last 5 years)
About Us:
Celestar, a B&A Company, offers highly competitive salaries and benefits. Our comprehensive benefits package includes company-paid employee and family dental insurance, employee health insurance, life insurance, and disability coverage. Additionally, we provide a 401(k)-retirement plan with company matching, paid holidays, and personal time off.
Responsibilities:
This opportunity supports DIA's Object Based Intelligence and Quality Assurance (OBIQUA) initiative focused on advancing intelligence analysis through Agile program management, AI assurance, analytic innovation, and ontology development.
The Lead AI Architect is responsible for leading the design, development, Testing, Evaluation, Verification, and Validation (TEVV), and operationalization of all AI algorithms and models.
Provide technical leadership for AI, machine learning, and advanced analytics initiatives supporting DIA analytic modernization efforts.
Develop AI architectures, frameworks, and implementation strategies aligned with mission requirements.
Oversee AI model lifecycle management, performance evaluation, and operational deployment.
Collaborate with Government stakeholders, data scientists, engineers, and technical teams to ensure successful implementation of AI capabilities.
Establish AI governance, quality assurance, and risk management processes.
Support integration of AI solutions into intelligence analysis workflows and enterprise systems.
Provide technical guidance on emerging AI technologies, best practices, and innovation initiatives.
Required Qualifications:
An advanced degree in Computer Science, Data Science, or a related field.
Demonstrated experience leading AI implementation projects
Desired Experience: Minimum 12 years of experience related to the specific labor category with at least a portion of the experience within the last 2 years.
Desired Education: Master's degree in an area related to the labor category from a college or university accredited by an agency recognized by the U.S. Department of Education; or have Bachelor's degree related to the labor category from a college or university accredited by an agency recognized by the U.S. Department of Education and an additional 5 years of related senior experience, for a total of 17 years, as a substitute to the Master's degree
Come on board with a company that Values its Employees!
Celestar Corporation is an Equal Opportunity Employer. The Celestar Corporation prohibits discrimination, harassment, and retaliation in employment based on race; color; religion; genetic information; national origin; sex (including same-sex); sexual orientation; gender identity; pregnancy, childbirth, or related medical conditions; age; disability or handicap; citizenship status; marital status; service member/protected veteran status; or any other category protected by federal, state, or local law.

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