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Artificial Intelligence Ai Engineer Jobs (NOW HIRING)

WilmerHale

Artificial Intelligence (AI) Engineer

Boston, MA · On-site

$105K - $145K/yr

About the Role The Artificial Intelligence Engineer is responsible for developing and implementing cutting-edge AI solutions and models to solve complex problems and drive innovation at the firm.

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Artificial Intelligence Ai Engineer information

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How much do artificial intelligence ai engineer jobs pay per year?

As of Aug 5, 2026, the average yearly pay for artificial intelligence ai engineer in the United States is $101,752.00, according to ZipRecruiter salary data. Most workers in this role earn between $84,000.00 and $116,500.00 per year, depending on experience, location, and employer.

What are some common challenges AI engineers face when deploying machine learning models to production environments?

AI Engineers often encounter challenges when moving models from development to production, such as data drift, scalability issues, and model monitoring. Ensuring that models perform well on real-world data, keeping them up-to-date with changing inputs, and integrating them seamlessly with existing systems are key hurdles. Collaborating closely with data engineers, software developers, and product teams is crucial to address these challenges and maintain robust, reliable AI solutions.

What is the difference between Artificial Intelligence Ai Engineer vs Data Scientist?

AspectArtificial Intelligence Ai EngineerData Scientist
Required CredentialsBachelor's or master's in CS, AI, or related fields; programming skills in Python, Java; knowledge of ML frameworksBachelor's or master's in CS, statistics, or related fields; strong programming skills; expertise in statistical analysis
Work EnvironmentDevelops AI models, algorithms, and systems; collaborates with software teamsAnalyzes data, builds predictive models, interprets data insights
Employer & Industry UsageTech companies, AI startups, R&D departmentsFinance, healthcare, marketing, tech firms

While both roles require programming and analytical skills, Artificial Intelligence Ai Engineers focus on designing and implementing AI systems and algorithms, whereas Data Scientists analyze data to extract insights and build predictive models. AI Engineers are more involved in developing AI solutions, while Data Scientists interpret data to inform business decisions.

What are the key skills and qualifications needed to thrive as an artificial intelligence AI engineer?

To thrive as an Artificial Intelligence (AI) Engineer, you need strong programming skills (especially in Python or Java), a deep understanding of machine learning algorithms, and a background in computer science or related fields, often with at least a bachelor's degree. Experience with frameworks like TensorFlow, PyTorch, and knowledge of cloud platforms or relevant certifications are highly valuable. Critical thinking, problem-solving abilities, and effective communication help AI Engineers collaborate and innovate in multidisciplinary teams. These skills are crucial for developing, deploying, and optimizing AI solutions that address complex business and technical challenges.

What is an artificial intelligence AI engineer?

Artificial Intelligence (AI) Engineers are professionals who design, develop, and implement AI models and systems to solve complex problems. They use techniques from machine learning, deep learning, and data science to create intelligent applications that can analyze data, recognize patterns, and make decisions. AI Engineers work across various industries, including healthcare, finance, and technology, to build solutions such as chatbots, recommendation systems, and autonomous vehicles. Their role often involves programming, data analysis, and collaborating with other teams to ensure AI systems are effective and ethical.
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Artificial Intelligence Ai Engineer jobs near you
Infographic showing various Artificial Intelligence Ai Engineer job openings in the United States as of July 2026, with employment types broken down into 73% Full Time, 24% Part Time, and 3% Contract. Highlights an 65% Physical, 3% Hybrid, and 32% Remote job distribution, with an average salary of $101,752 per year, or $48.9 per hour.

Artificial Intelligence (AI) Engineer

AGE Solutions

Fort George G Meade, MD • On-site

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 14 days ago

Job description

About Us
AGE Solutions is a premier technology and professional services company, providing in-depth consulting, advanced technology solutions, and essential services throughout the U.S. government, defense, and intelligence sectors. Prioritizing innovation and client-focused solutions, we assist major agencies in addressing intricate issues and ensuring a more secure future.
AGE Solutions is seeking a highly motivated Artificial Intelligence (AI) Engineer to support our DoD customer's Emerging Technology Mission Assurance initiatives by researching, evaluating, engineering, and integrating Artificial Intelligence (AI), Machine Learning (ML), Generative AI, and other emerging technologies that strengthen Department of Defense cybersecurity and enterprise capabilities.
Working directly with our customer's engineers, industry partners, and government stakeholders, the successful candidate will conduct technology research, support technology assessments and proof-of-concept activities, evaluate commercial and government AI solutions, and provide engineering recommendations that inform enterprise architecture, cybersecurity modernization, and future technology adoption across the DoD Information Network (DoDIN).
Responsibilities Include:
  • Research, evaluate, and assess emerging technologies, including Artificial Intelligence (AI), Machine Learning (ML), Large Language Models (LLMs), Generative AI, cloud computing, cybersecurity, identity management, networking, and advanced computing platforms.
  • Analyze commercial and government technology solutions and provide technical recommendations supporting DISA modernization initiatives.
  • Design, develop, and execute technology evaluations, laboratory testing, pilot programs, and proof-of-concept demonstrations.
  • Develop technology evaluation plans, operational use cases, success criteria, performance metrics, and technical assessment reports.
  • Develop AI prototypes and assist with transitioning successful capabilities into operational environments.
  • Evaluate AI model performance, scalability, security, and operational effectiveness.
  • Apply systems engineering principles throughout technology evaluation, integration, testing, and transition activities.
  • Develop engineering documentation, including architecture diagrams, technical analyses, white papers, CONOPS, and engineering recommendations.
  • Support DISA integration with commercial cloud providers and cloud-hosted AI capabilities.
  • Evaluate AI workloads across hybrid, on-premises, and multi-cloud environments.
  • Collaborate with DISA organizations, DoD agencies, Combatant Commands, industry partners, and other stakeholders to evaluate emerging technologies.
  • Present technical findings, recommendations, and executive briefings to government leadership and Integrated Product Teams (IPTs).
  • Support strategic technology planning, technology roadmaps, business case analyses, and technology migration strategies.

Required Skills, Qualifications, and Experience:
  • Experience:
    • 10 Years of experience
      • 5+ years supporting Artificial Intelligence, Machine Learning, Systems Engineering, Emerging Technologies, Cybersecurity, or Cloud Engineering
  • Education:
    • Bachelor's degree in computer science, Artificial Intelligence, Systems Engineering, Cybersecurity, Information Technology, or a related technical field (or equivalent experience).
  • Security Clearance:
    • Must have and maintain a current DoD Top Secret Clearance.
  • Certifications:
    • Current DoD 8140 baseline certification (e.g., Security+ CE, CEH)
      • Highly Desired: Microsoft Azure AI Engineer Associate or Azure AI Fundamentals AWS Certified AI Practitioner or AWS Machine Learning Engineer
  • Experience with Artificial Intelligence, Machine Learning, Large Language Models (LLMs), Natural Language Processing (NLP), Computer Vision, or Generative AI technologies.
  • Experience conducting technology research, evaluations, proof-of-concepts, or pilot projects.
  • Knowledge of systems engineering principles and technology lifecycle management.
  • Experience with cloud computing platforms and AI-enabled cloud services.
  • Strong analytical, technical writing, and presentation skills.
  • Ability to develop technical documentation, reports, and executive briefings.
  • Strong communication and collaboration skills with government and technical stakeholders.

Preferred Qualifications:
  • Experience supporting DISA, DoD, Federal Government, or Intelligence Community technology modernization programs.
  • Experience with AI governance, Responsible AI, and AI security within government or regulated environments.
  • Experience with commercial cloud platforms such as Microsoft Azure or Amazon Web Services (AWS).
  • Familiarity with Zero Trust Architecture, NIST Risk Management Framework (RMF), and DoD cybersecurity policies.
  • Experience supporting enterprise architecture, technology roadmaps, and modernization initiatives.
  • Experience briefing senior government leadership and executive stakeholders.
  • Experience with DevSecOps, automation, containerization, or Kubernetes.
  • Knowledge of DISA Enterprise Integration and Innovation Center (EIIC), Risk - Management Executive (RME), or emerging technology assessment initiatives.
  • Active Top Secret clearance with SCI eligibility preferred.

Work Environment and Physical Demand:
  • This work will be conducted in an office environment. Must be able to sit for prolonged periods of time.
  • Location and Schedule:
    • Must be within commuting distance of Fort Meade, MD and able to work on-site on a hybrid schedule.
      • 1 day/week onsite required with additional days onsite if the project requires.

The projected salary range for this position is $155,000+ annually. Final compensation will be determined based on factors including years of relevant experience, active security clearance level, certifications, technical skillset, contract requirements, and overall qualifications.
At AGE Solutions, we reward performance, invest in growth, and share success. Our benefits support the whole person, professionally, financially, and personally.
  • 26 Days Paid Leave: Includes vacation, sick, personal time, and holidays. You choose how to use it.
  • Performance Bonuses: Performance bonuses are awarded based on individual contributions and company-wide results, aligning recognition with impact.
  • 401(k) with Match: We match 3% of your contributions with immediate vesting.
  • Financial Protection: Company-paid life insurance up to $300K and options for additional coverage for you and your dependents.
  • Health Benefits: Multiple medical plans, dental, vision, FSA and HSA options to fit your needs.
  • Parental Leave: 15 days of fully paid leave for new parents, because family matters.
  • Military Differential Pay: We bridge the gap for employees on active duty, so they don't take a financial hit while serving.
  • Professional Growth: Paid training and certifications, tuition reimbursement, and the tools and tech to get the job done right.
  • Shared Success: In the event of a company sale, our CEO has committed to returning 80% of net proceeds to employees. This ensures our team shares in the long term value they help create.

At AGE, you'll do work that matters, supported by a company that delivers for its people.

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