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Ai Associate Jobs in Virginia (NOW HIRING)

Deloitte

AI Datacenter Associate VP

Mclean, VA · Hybrid

AI Datacenter & Infrastructure Associate VP Join our AI & Engineering team and help transform technology platforms, drive innovation, and make a significant impact on our clients' success. You'll ...

DCCA

AI - Enigneer/Analyst

Mclean, VA · On-site

They are seeking an AI Engineer/Analyst to develop and implement AI and machine learning solutions ... High School Diploma + 6 years of experience, Associates Degree + 4 years of experience, Bachelors ...

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Ai Associate information

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$45.6K

$107.2K

$171K

How much do ai associate jobs pay per year?

As of Aug 22, 2026, the average yearly pay for ai associate in Virginia is $107,232.00, according to ZipRecruiter salary data. Most workers in this role earn between $79,300.00 and $128,900.00 per year, depending on experience, location, and employer.

What is an AI associate?

AI Associates are professionals who support the development, implementation, and optimization of artificial intelligence systems within organizations. Their responsibilities can include data analysis, model training, quality assurance, and assisting in the integration of AI solutions into business processes. AI Associates often work closely with data scientists, engineers, and business teams to ensure that AI projects meet organizational needs and deliver value. This role typically requires a foundational understanding of machine learning concepts, programming skills, and the ability to interpret and communicate technical findings to non-technical stakeholders.

What does an AI associate do?

As an AI Associate, your daily tasks often include data preparation, model training, and conducting preliminary analyses to support larger AI initiatives. You will collaborate closely with data scientists, engineers, and project managers, frequently participating in team meetings to discuss progress and troubleshoot challenges. AI Associates play a vital role in ensuring data quality and supporting the deployment of machine learning models, which directly impacts the success of the team's projects. The position offers a dynamic environment where you learn best practices and gain hands-on experience with modern AI tools, setting a strong foundation for career advancement in the field.

What are the key skills and qualifications needed to thrive as an AI associate?

To excel as an AI Associate, you typically need a strong background in computer science, mathematics, and data analysis, often supported by a relevant degree or coursework. Familiarity with programming languages like Python, machine learning frameworks such as TensorFlow or PyTorch, and experience with data visualization tools are highly valued. Strong problem-solving abilities, communication skills, and a collaborative mindset help AI Associates work effectively in multidisciplinary teams. These capabilities ensure the development of robust AI solutions and foster innovation in rapidly evolving environments.

What is the difference between Ai Associate vs Data Analyst?

AspectAi AssociateData Analyst
Required CredentialsBachelor's in Computer Science, Data Science, or related fields; familiarity with AI toolsBachelor's in Statistics, Mathematics, or related fields; proficiency in data analysis software
Work EnvironmentTech companies, AI startups, research labsBusiness, finance, healthcare, and marketing sectors
Employer & Industry UsageAI development teams, tech firmsBusiness intelligence, data-driven decision making
Common Search & Comparison IntentUnderstanding roles in AI developmentAnalyzing data to inform business strategies

While both roles involve working with data, an Ai Associate primarily focuses on developing and implementing AI models and algorithms, often requiring knowledge of machine learning and programming. A Data Analyst concentrates on interpreting data, creating reports, and providing insights to support business decisions. The roles overlap in data handling but differ in technical focus and application areas.

What are the most commonly searched types of Ai jobs in Virginia?

The most popular types of Ai jobs in Virginia are:

What are popular job titles related to Ai Associate jobs in Virginia?

For Ai Associate jobs in Virginia, the most frequently searched job titles are:

What job categories do people searching Ai Associate jobs in Virginia look for?

The top searched job categories for Ai Associate jobs in Virginia are:

What cities in Virginia are hiring for Ai Associate jobs?

Cities in Virginia with the most Ai Associate job openings:

Ai Associate jobs near you
Infographic showing various Ai Associate job openings in Virginia as of August 2026, with employment types broken down into 1% As Needed, 64% Full Time, 33% Part Time, 1% Temporary, and 1% Contract. Highlights an 96% Physical, 1% Hybrid, and 3% Remote job distribution, with an average salary of $107,232 per year, or $51.6 per hour.

AI / ML Associate Manager

Accenture Federal Services

Arlington, VA • On-site

$67K - $68K/yr

Full-time

Re-posted 29 days ago

Accenture Federal Services rating

8.7

Company rating: 8.7 out of 10

Based on 20 frontline employees who took The Breakroom Quiz

48th of 495 rated business services

Job description

Act as the primary bridge between mission stakeholders and our highly technical machine learning development team. You will be responsible for translating complex operational challenges into well-defined requirements for AI/ML models. Your work is critical to ensuring that the models we build are not just technically sound, but that they deliver tangible, mission-relevant outcomes. This role requires a unique blend of business acumen, analytical skills, and a solid understanding of artificial intelligence concepts.

Responsibilities:

  • Elicit, analyze, and document business and functional requirements from mission stakeholders for new AI/ML models and features
  • Translate mission problems into clear, unambiguous user stories and technical specifications for the machine learning development team
  • Define acceptance criteria for AI/ML models, including required inputs, desired outputs, and key performance metrics (e.g., accuracy, precision, latency)
  • Work closely with data scientists and ML engineers to ensure a clear understanding of the business problem and the proposed technical solution
  • Facilitate communication between technical and non-technical teams, explaining complex AI/ML concepts in understandable terms
  • Assist in creating test cases and participate in user acceptance testing (UAT) to validate that model outputs meet the defined business needs
  • Maintain the product backlog for the MaaS platform, prioritizing features and user stories in collaboration with the team lead

Must have:

  • 3+ years of experience as a Business Analyst, Systems Analyst, or in a similar requirements-focused role
  • Experience in requirements elicitation, analysis, and documentation in an Agile/Scrum environment
  • Solid understanding of fundamental AI/ML concepts (e.g., supervised vs. unsupervised learning, training data, model evaluation) 
  • Excellent communication and interpersonal skills, with the ability to facilitate meetings and build consensus between diverse stakeholder groups
  • Strong analytical and problem-solving abilities

Security Clearance

  • Active TS or TS/SCI clearance

What Accenture Federal Services employees say

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