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Manager Artificial Intelligence Government Jobs (NOW HIRING)

We're looking for a Senior Manager, Artificial Intelligence to be part of making that happen. About The Role In this role, you advance that mission by planning and directing the AI development that ...

We're looking for a Senior Manager, Artificial Intelligence to be part of making that happen. About The Role In this role, you advance that mission by planning and directing the AI development that ...

DCCA is a veteran-owned IT business specializing in providing innovative solutions to government agencies and commercial enterprises. They are seeking an Artificial Intelligence professional ...

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Manager Artificial Intelligence Government information

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How much do manager artificial intelligence government jobs pay per hour?

As of Aug 24, 2026, the average hourly pay for manager artificial intelligence government in the United States is $26.35, according to ZipRecruiter salary data. Most workers in this role earn between $17.31 and $32.69 per hour, depending on experience, location, and employer.

What is a manager artificial intelligence government?

Manager Artificial Intelligence Government jobs involve overseeing the development, implementation, and management of artificial intelligence (AI) projects within government agencies or departments. These managers coordinate teams of AI specialists, ensure compliance with policies and regulations, and align AI initiatives with public sector goals. They are responsible for setting strategic direction, managing budgets, and ensuring ethical use of AI technologies in government operations. The role often requires collaboration with stakeholders, policy makers, and technical experts to drive innovation and improve public services. Strong leadership, project management, and an understanding of both AI technologies and government processes are essential for success in this role.

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

To thrive as a Manager of Artificial Intelligence in Government, you need a strong background in computer science, data analysis, and AI/ML technologies, often supported by a relevant degree and experience in public sector projects. Familiarity with AI frameworks (like TensorFlow or PyTorch), data security protocols, and government compliance standards is essential, along with certifications such as PMP or specialized AI certifications. Exceptional leadership, stakeholder management, and communication skills are critical for navigating complex bureaucracies and multidisciplinary teams. These capabilities ensure the successful development, deployment, and ethical oversight of AI solutions that align with governmental objectives and regulations.

What are some unique challenges faced by a manager artificial intelligence government?

Managers of Artificial Intelligence in government settings often encounter challenges such as navigating strict regulatory requirements, ensuring data privacy, and managing legacy systems that may not be AI-compatible. Additionally, they must balance innovation with transparency and public trust, which can require more stakeholder engagement and documentation than in the private sector. Collaborating across departments and managing multidisciplinary teams is common, as is the need to communicate complex AI concepts to non-technical government officials. These factors make the role both uniquely challenging and impactful.

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

AspectManager Artificial Intelligence GovernmentData Scientist Artificial Intelligence Government
Required CredentialsBachelor's or Master's in Computer Science, AI, or related fields; leadership experienceBachelor's or Master's in Data Science, Statistics, or related fields; strong analytical skills
Work EnvironmentOversees AI projects, manages teams, collaborates with stakeholdersDevelops models, analyzes data, supports AI initiatives
Employer & Industry UsageGovernment agencies implementing AI solutions, policy developmentResearch institutions, government labs, AI-focused departments

The main difference is that the Manager Artificial Intelligence Government leads AI teams and manages projects within government agencies, focusing on strategic implementation. In contrast, the Data Scientist Artificial Intelligence Government primarily analyzes data and develops AI models to support government initiatives. Both roles require strong technical skills, but the manager role emphasizes leadership and project oversight.

What cities are hiring for Manager Artificial Intelligence Government jobs?

Cities with the most Manager Artificial Intelligence Government job openings:

What are the most commonly searched types of Artificial Intelligence Government jobs?

The most popular types of Artificial Intelligence Government jobs are:

What states have the most Manager Artificial Intelligence Government jobs?

States with the most job openings for Manager Artificial Intelligence Government jobs include:

Infographic showing various Manager Artificial Intelligence Government job openings in the United States as of June 2026, with employment types broken down into 1% As Needed, 96% Full Time, 2% Part Time, and 1% Contract. Highlights an 88% Physical, 4% Hybrid, and 8% Remote job distribution, with an average salary of $54,806 per year, or $26.3 per hour.

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Job description

OneMagnify is an AI native, platform-enabled B2B digital agency operating at the intersection of data, technology, and creativity. We help complex organizations drive measurable business outcomes by building smarter customer experiences and delivering highly integrated solutions across digital, media, and technology. By combining deep industry expertise with advanced analytics and artificial intelligence, we enable our clients to make better decisions, move faster, and compete more effectively in dynamic markets.

The Manager of Artificial Intelligence sits at the center of OneMagnify's AI practice - leading technical delivery, guiding client strategy, and translating complex data into decisions that move the needle. You'll work directly with clients to help them unlock the value in their data, while managing and mentoring a team of data scientists, AI engineers, and software engineers. This role shapes both how we deliver AI solutions and how our clients experience them.

The Impact You'll Have:

You'll be the connective tissue between what's technically possible and what clients actually need. That means pushing beyond theoretical AI capabilities to help organizations - many of them large, data-rich B2B enterprises - build practical systems that inform strategy, automate workflows, and create measurable business outcomes.

On the delivery side, you'll lead generative AI projects that draw on the full breadth of OneMagnify's capabilities - connecting AI and data science work to broader digital strategy, analytics, and platform teams. The result isn't just a model or a tool; it's an integrated solution that fits how a client operates and scales as they grow.

You'll also help keep OneMagnify's AI practice sharp. Staying current on emerging tools and approaches isn't background work here - it directly shapes what we bring to clients and how we evolve our service offering.

What You'll Do:

Client Partnership & AI Strategy

  • Collaborate with strategic clients to identify where AI and data can drive meaningful action - not just generate insights
  • Translate client business challenges into technical approaches that are both rigorous and achievable
  • Serve as a trusted advisor who can simplify complex AI concepts for non-technical stakeholders

Technical Leadership & Delivery

  • Provide hands-on technical direction for generative AI projects, including architecture decisions and solution design
  • Apply expertise in LLMs, data science, and object-oriented programming to guide delivery from prototype to production
  • Leverage tools like Databricks, Python, R, and SQL across the project lifecycle - including building and managing data pipelines, feature engineering, and model deployment within the Databricks ecosystem

Team Leadership & Mentorship

  • Lead and develop a cross-functional team of data scientists, AI engineers, and software engineers
  • Set clear expectations, support career growth, and build a team culture oriented around craft and client outcomes
  • Model the technical and communication standards you expect from the team

Cross-Functional Collaboration

  • Drive alignment across AI, analytics, strategy, and engineering disciplines within OneMagnify
  • Partner with delivery and operations teams to ensure AI workstreams integrate cleanly into broader project execution
  • Represent the AI practice in client-facing settings alongside strategy and creative counterparts

Practice Development

  • Stay current on the evolving AI landscape - new models, platforms, tools, and use cases - and bring relevant developments into client conversations and internal delivery
  • Contribute to OneMagnify's point of view on AI-enabled solutions and how the practice continues to grow

What You'll Need:

  • Bachelor's degree in computer science, data science, engineering, or a related field; Master's degree preferred
  • 6+ years of experience in AI, data science, or ML engineering - with at least 2 years managing technical teams (data scientists, AI/ML engineers, or software engineers)
  • Proven ability to take AI projects from conception through production, including architecture decisions, model deployment, and stakeholder communication
  • Hands-on experience with LLMs, generative AI, and object-oriented programming
  • Proficiency in Python, R, and SQL
  • Hands-on experience with Databricks, including MLflow, Delta Lake, Unity Catalog, or Databricks-native model serving
  • Working knowledge of MLOps practices - model versioning, monitoring, retraining pipelines, and scaling models in production environments
  • Exposure to cloud-based ML platforms such as AWS SageMaker, Azure ML, or GCP Vertex AI
  • Comfortable presenting complex technical work to non-technical clients and executive stakeholders

Future-Ready Skills (Nice to Have):

  • Experience with agentic AI frameworks or orchestration tools (e.g., LangChain, AutoGen, or similar)
  • Familiarity with prompt engineering, LLM fine-tuning, or retrieval-augmented generation (RAG) in a production or client context
  • Experience in a digital services, consulting, or agency environment where AI work is delivered alongside strategy and creative disciplines
  • Experience in integrated marketing, digital agency, marketing services, or consulting environments preferred.

Benefits

We believe great work happens when people have the support and flexibility they need to thrive. Our benefits include medical, dental, and vision coverage, a 401(k) retirement plan, paid holidays, andFlexible Time Off (FTO)so you can take time away to recharge when you need it. We also offer additional programs focused on wellness, financial security, and professional growth.

We are an equal opportunity employer

We believe that Innovative ideas and solutions start with unique perspectives. That's why we're committed to providing every employee a workplace that's free of discrimination and intolerance. We're proud to be an equal opportunity employer and actively search for like-minded people to join our team.

We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform job functions, and to receive benefits and privileges of employment. Please contact us to request accommodation.