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Senior Manager Artificial Intelligence Jobs in Reston, VA

SAIC

Artificial Intelligence (AI) SETA

Chantilly, VA

$200K - $240K/yr

As part of the AI research team, the SETA will be trusted to coordinate and manage activities ... Expertise on Artificial Intelligence and high-performance computing topics * Proficiency with ...

SAIC

Artificial Intelligence (AI) SETA

Chantilly, VA · On-site

$200K - $240K/yr

As part of the AI research team, the SETA will be trusted to coordinate and manage activities ... Expertise on Artificial Intelligence and high-performance computing topics * Proficiency with ...

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Senior Manager Artificial Intelligence information

See Reston, VA salary details

$29.6K

$101K

$189.9K

How much do senior manager artificial intelligence jobs pay per year?

As of Aug 18, 2026, the average yearly pay for senior manager artificial intelligence in Reston, VA is $101,019.00, according to ZipRecruiter salary data. Most workers in this role earn between $51,000.00 and $142,000.00 per year, depending on experience, location, and employer.

What does a senior manager artificial intelligence do?

A Senior Manager of Artificial Intelligence oversees the strategy, development, and deployment of AI-driven solutions within an organization. They lead teams of data scientists, machine learning engineers, and AI specialists to deliver projects that solve business problems using AI technologies. Additionally, they collaborate with other departments to identify opportunities for AI, ensure ethical AI practices, and manage project timelines and budgets. Their role is crucial in aligning AI initiatives with the company’s overall goals and ensuring the successful adoption of AI solutions.

What are the key skills and qualifications needed to thrive as a senior manager artificial intelligence?

To thrive as a Senior Manager Artificial Intelligence, you need a strong background in computer science, AI/ML algorithms, and leadership, often supported by an advanced degree and relevant industry experience. Familiarity with machine learning frameworks (such as TensorFlow or PyTorch), data analytics platforms, and project management tools is typically required, along with certifications in AI or data science. Outstanding communication, strategic thinking, and team leadership abilities help drive innovation and foster cross-functional collaboration. These skills and qualities are essential for successfully leading AI initiatives that align with business objectives and deliver measurable value.

How does a senior manager artificial intelligence typically balance technical leadership with team management responsibilities?

A Senior Manager of Artificial Intelligence often divides their time between providing strategic technical guidance and overseeing the professional development of their team. They are expected to set the vision for AI projects, review technical designs, and ensure alignment with business objectives, while also mentoring team members, managing project timelines, and facilitating collaboration across departments. Balancing these responsibilities requires strong communication skills and the ability to prioritize tasks effectively. Additionally, they frequently interact with stakeholders to translate complex AI concepts into actionable business strategies.

What is the difference between Senior Manager Artificial Intelligence vs Data Scientist?

AspectSenior Manager Artificial IntelligenceData Scientist
Required CredentialsAdvanced degrees in AI, Computer Science, or related fields; leadership experienceDegree in Data Science, Statistics, or related fields; strong programming skills
Work EnvironmentLeads AI teams, manages projects, collaborates with stakeholdersAnalyzes data, develops models, reports insights
Employer & Industry UsageTech companies, large enterprises implementing AI strategiesVarious industries including finance, healthcare, tech
Search & Comparison IntentUnderstanding leadership roles in AITechnical data analysis and modeling

The Senior Manager Artificial Intelligence typically oversees AI projects, manages teams, and aligns AI strategies with business goals. Data Scientists focus on analyzing data, building models, and deriving insights. While both roles require strong technical skills, the Senior Manager role emphasizes leadership and strategic planning, whereas Data Scientists are more hands-on with data analysis and modeling.

What are popular job titles related to Senior Manager Artificial Intelligence jobs in Reston, VA?

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The top searched job categories for Senior Manager Artificial Intelligence jobs in Reston, VA are:

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Cities near Reston, VA with the most Senior Manager Artificial Intelligence job openings:

Senior Manager Artificial Intelligence jobs near you

Artificial Intelligence (AI) SETA

Science Applications International Corporation

Chantilly, VA

Full-time

Posted 19 days ago

SAIC rating

7.9

Company rating: 7.9 out of 10

Based on 79 frontline employees who took The Breakroom Quiz

79th of 224 rated it services

Job description

The Customer's Artificial Intelligence (AI) Research Team Systems Engineering and Technical Assistant (SETA) role is a full-time position central to the coordination and smooth daily operation of the AI Research Team and associated IC-level activities.  As part of the AI research team, the SETA will be trusted to coordinate and manage activities related to a variety of sensitive topics to include intelligence writing, strengthening research proposals, and hands-on support to technical activities.  The SETA must be adaptable, resilient under pressure, and capable of operating both independently and in team settings.

Specific Responsibilities include (but are not limited to):

  • Leverage AI expertise to support the AI research team's technical initiatives
  • Contribute to research ideation and execution through peer review, concept of operations formulation, and partner engagement
  • Interpret technical data on AI-related experiments
  • Draft, coordinate, and publish technical documents for customers and IC partners
SAIC is a premier mission integrator focused on advancing the power of technology and innovation to serve and protect our world. Our robust portfolio of offerings across the defense, space, intelligence, and civilian markets includes secure high-end solutions in mission IT, enterprise IT, engineering services, and professional services. We integrate emerging technology, rapidly and securely, into mission critical operations that modernize and enable critical national imperatives.

We are approximately 23,000 strong; driven by mission, united by purpose, and inspired by opportunities. SAIC is an Equal Opportunity Employer. Headquartered in Reston, Virginia, SAIC has annual revenues of approximately $7.3 billion. For more information, visit saic.com. For ongoing news, please visit our newsroom.

Required Qualifications:

  • Current TS/SCI clearance with active polygraph 
  • Bachelors and fourteen (14) years or more experience; Masters and twelve (12) years or more experience; PhD or JD and nine (9) years or more experience
    • Four years of relevant experience may substitute in lieu of a degree and at least eight years of work experience
  • Prior Customer experience with knowledge of Intelligence Community applications, systems, tools, and protocols
  • Expertise on Artificial Intelligence and high-performance computing topics
  • Proficiency with programming languages for data manipulation (Unix, Python, etc.)
  • Proficiency in Outlook, Word, Excel, PowerPoint, and Project applications
  • Proven ability to effectively manage competing priorities as well as anticipate requirements and potential issues
  • Demonstrated sound judgement and discretion
  • Proven ability to adaptively prioritize time-sensitive issues
  • Self-starter who is flexible and willing to meet challenges and changing needs of dynamic organization
  • Proven track record of being a team player who is willing to pitch in and get the job done
  • Experience with intelligence production and dissemination
  • Excellent oral, written, and presentation skills

Desired Qualifications:

  • Experience with intelligence production and dissemination
  • Excellent oral, written, and presentation skills
  • Previous experience deriving value from large technical collections of data

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