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Ai Implementation Jobs in Springfield, VA (NOW HIRING)

Strong collaboration with team's in the design and implementation of AI architectures to include operational status, coding improvements, dashboard tooling including security. * Supports Leidos AI ...

New

Senior AI Software Engineer

Chantilly, VA · On-site

$131K - $237K/yr

Strong collaboration with team's in the design and implementation of AI architectures to include operational status, coding improvements, dashboard tooling including security. * Supports Leidos AI ...

New

Strong collaboration with team's in the design and implementation of AI architectures to include operational status, coding improvements, dashboard tooling including security. * Supports Leidos AI ...

New

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

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 ...

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 ...

Senior AI Software Engineer

Herndon, VA · On-site

$131K - $237K/yr

Strong collaboration with team's in the design and implementation of AI architectures to include operational status, coding improvements, dashboard tooling including security. * Supports Leidos AI ...

New

Senior AI Software Engineer

Burke, VA · On-site

$131K - $237K/yr

Strong collaboration with team's in the design and implementation of AI architectures to include operational status, coding improvements, dashboard tooling including security. * Supports Leidos AI ...

New

Strong collaboration with team's in the design and implementation of AI architectures to include operational status, coding improvements, dashboard tooling including security. * Supports Leidos AI ...

New

Senior AI Software Engineer

Manassas, VA · On-site

$131K - $237K/yr

Strong collaboration with team's in the design and implementation of AI architectures to include operational status, coding improvements, dashboard tooling including security. * Supports Leidos AI ...

New

Senior AI Software Engineer

Chantilly, VA · On-site

$131K - $237K/yr

Strong collaboration with team's in the design and implementation of AI architectures to include operational status, coding improvements, dashboard tooling including security. * Supports Leidos AI ...

New

Senior AI Software Engineer

Chantilly, VA · On-site

$131K - $237K/yr

Strong collaboration with team's in the design and implementation of AI architectures to include operational status, coding improvements, dashboard tooling including security. * Supports Leidos AI ...

New

Strong collaboration with team's in the design and implementation of AI architectures to include operational status, coding improvements, dashboard tooling including security. * Supports Leidos AI ...

New

Strong collaboration with team's in the design and implementation of AI architectures to include operational status, coding improvements, dashboard tooling including security. * Supports Leidos AI ...

New

Strong collaboration with team's in the design and implementation of AI architectures to include operational status, coding improvements, dashboard tooling including security. * Supports Leidos AI ...

New

Senior AI Software Engineer

Reston, VA · On-site

$131K - $237K/yr

Strong collaboration with team's in the design and implementation of AI architectures to include operational status, coding improvements, dashboard tooling including security. * Supports Leidos AI ...

New

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Showing results 1-20

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 Jul 15, 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.

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 is a $900000 AI job?

A $900,000 AI job typically refers to a high-level position in artificial intelligence, such as a senior AI engineer, AI director, or chief AI officer, often found in large tech companies or organizations with significant AI initiatives. These roles usually require advanced skills in machine learning, deep learning, data analysis, and experience with AI tools and frameworks, along with leadership responsibilities. Compensation at this level reflects extensive expertise, strategic impact, and often includes bonuses or stock options.

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.

How much do AI implementation consultants make?

AI implementation consultants typically earn between $70,000 and $130,000 annually, depending on experience, location, and industry. Senior consultants or those with specialized skills in machine learning and data analysis can earn higher salaries, often exceeding $150,000. Compensation may also include bonuses and benefits based on project success and company size.

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 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.

Which 5 jobs will survive AI?

AI implementation professionals, data scientists, cybersecurity specialists, healthcare providers, and skilled tradespeople are likely to continue thriving as these roles require complex problem-solving, human judgment, and hands-on skills that are difficult for AI to replicate. These jobs often involve critical thinking, emotional intelligence, or physical tasks that remain essential despite automation advances.
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 Data Management Specialist

AI Data Management Specialist

Cornerstone Defense

Bethesda, MD • On-site

Contractor

Re-posted 5 days ago


Job description

  • Location: Bethesda, Maryland
  • Type: Contract
  • Job #3905

Position - AI Data Management Specialist
Work Location - Bethesda, MD
Security Clearance - TS/SCI with CI Polygraph
Company Overview:

Cornerstone Defense is the Employer of Choice within the Intelligence, Defense, and Space communities of the U.S. Government. Realizing early on that our most prized assets are our employees, we continually focus our attention on improving the overall work/life experience they have supporting the mission. Our Team is pushed every day to use their industry leading knowledge to provide end-to-end solutions to combat our nation's toughest and most secure problems. If you are looking for a place to not only be professionally challenged, but encouraged and supported by a company that cares, don't look any further than Cornerstone Defense.
Seeking an experienced and skilled AI Data Management Specialist to support the Chief AI Officer and Chief Data Officer (CAIO/CDO) at one of our Intelligence customers. The ideal candidate will have a solid foundation in data management, including practical and strategic expertise across the data lifecycle, data protection, and stakeholder coordination. In this role, you will engage with technical and non-technical senior government data managers to develop, implement, and refine their data management strategies while ensuring alignment with best practices in data protection, privacy, and civil liberties.
Familiarity with AI concepts and vectorization as it relates to AI is required, and knowledge of zero trust principles, and data architecture is highly desirable to enhance your contributions to this critical mission.
Primary Responsibilities
Data Lifecycle Management:
  • Provide expertise in practical and strategic aspects of the data lifecycle, including data collection, storage, usage, sharing, and archival/disposal.
  • Guide senior government stakeholders in the development and execution of comprehensive data management plans aligned with mission goals and compliance requirements.
  • Data Protection and Governance:

  • Deliver practical and strategic guidance on data protection, addressing risks related to data spills, personal information security, and civil liberties.
  • Ensure compliance with data protection policies, laws, and standards, and promote best practices to safeguard sensitive information and preserve privacy.
  • Stakeholder Coordination:

  • Act as a critical liaison, working directly with senior government data managers and technical teams to bridge technical and non-technical perspectives.
  • Facilitate communication and understanding of data management priorities, challenges, and solutions.
  • AI and Emerging Technologies:

  • Apply a foundational understanding of AI to advise on data strategies that enable AI implementation and clear adoption paths.
  • Contribute to discussions and planning related to advanced concepts such as vectorization in AI and data-driven solutions.
  • Strategic Recommendations:

  • Support senior leadership by identifying and addressing gaps in data infrastructure, strategy, and implementation.
  • Advise on policies and practices related to zero trust architecture, data architecture, and cross-organizational data-sharing initiatives.

Qualifications
  • Active TS/SCI with Poly is required.
  • Bachelor's degree with 8+ years of relevant experience, Associate's degree with 10+ years of relevant experience, or Master's degree with 6+ years of relevant experience.
  • Solid background in data management, with a firm, practical, and strategic understanding of the data lifecycle and its application in government or enterprise environments.
  • Understanding of vectorization in AI and its relationship to data usage and analytics.
  • Strong expertise in data protection, especially regarding issues such as data spills, safeguarding personal information, and addressing civil liberties.
  • Ability to coordinate with senior technical and non-technical stakeholders, including government senior data managers, to align data management initiatives with organizational priorities.
  • Familiarity with AI concepts and their implications for data usage and management.

Preferred Qualifications:
  • Knowledge or experience with zero trust architecture principles.
  • Expertise in data architecture design, principles, and governance, with the ability to speak confidently about its implications for strategy and implementation.
  • Experience working for or with Intelligence Community (IC) stakeholders or other government agencies.
  • Strong communication and interpersonal skills to convey complex technical concepts to diverse audiences.