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Applied Ai Engineer Jobs in Silver Spring, MD (NOW HIRING)

Required : • Minimum of 10 years of hands-on software engineering experience, including at least 4+ years developing and deploying applied AI/ML systems and pipelines. • Bachelor's degree in CS ...

Role Overview GEICO is seeking a Senior Staff Engineer, Applied AI to provide technical architecture and leadership for medium to large, complex, cross-functional AI initiatives that have visibility ...

Required : • Minimum of 10 years of hands-on software engineering experience, including at least 4+ years developing and deploying applied AI/ML systems and pipelines. • Bachelor's degree in CS ...

AI Engineer

Mclean, VA · On-site

$77K - $176K/yr

You Have: * 1+ years of experience in software engineering, data engineering, or applied AI/ML * Experience building applications in Python using frameworks such as FastAPI or Flask, and building and ...

AI Engineer

Washington, DC · On-site

$77K - $176K/yr

You Have: * 1+ years of experience in sof tware engineering, data engineering, or applied AI / ML * Experience building applications in Python using frameworks such as FastAPI or Flask, and building ...

AI Engineer

Washington, DC · On-site

$77K - $176K/yr

You Have: * 1+ years of experience in software engineering, data engineering, or applied AI/ML * Experience building applications in Python using frameworks such as FastAPI or Flask, and building and ...

AI Engineer

Mclean, VA · On-site

$77K - $176K/yr

You Have: * 1+ years of experience in software engineering, data engineering, or applied AI/ML * Experience building applications in Python using frameworks such as FastAPI or Flask, and building and ...

Showing results 41-60

Applied Ai Engineer information

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

To thrive as an Applied AI Engineer, you need strong proficiency in programming (especially Python), machine learning algorithms, statistics, and a relevant degree in computer science or a related field. Familiarity with frameworks like TensorFlow or PyTorch, experience with cloud platforms (such as AWS or Azure), and knowledge of data management tools are typically required. Excellent problem-solving, communication, and teamwork skills help you translate complex models into real-world solutions and collaborate across disciplines. These competencies ensure you can effectively develop, deploy, and maintain AI systems that drive business value.

What are some common challenges applied AI engineers face when deploying AI models into production environments?

Applied AI Engineers often encounter challenges such as ensuring models perform consistently on real-world data, optimizing models for speed and scalability, and integrating AI solutions with existing systems. Managing data privacy, monitoring for model drift, and maintaining robust documentation are also key concerns. Collaboration with DevOps, data engineering, and product teams is essential to address these challenges effectively and deliver reliable AI-driven solutions.

What is the difference between Applied Ai Engineer vs Data Scientist?

AspectApplied Ai EngineerData Scientist
Required CredentialsBachelor's or Master's in CS, AI, or related fields; experience with AI frameworksBachelor's or Master's in CS, Statistics, or related fields; strong analytical skills
Work EnvironmentDevelops and deploys AI models in production environmentsAnalyzes data to extract insights and build predictive models
Industry UsageUsed in tech, healthcare, finance for deploying AI solutionsUsed across industries for data analysis and modeling

Applied Ai Engineers focus on implementing and deploying AI models in real-world applications, while Data Scientists primarily analyze data to generate insights and build predictive models. Both roles require similar educational backgrounds but differ in their core responsibilities and work environments.

How much does an applied AI engineer make?

An applied AI engineer's salary varies based on experience, location, and industry, but typically ranges from $80,000 to $150,000 annually. Senior roles or those with specialized skills in machine learning, deep learning, and programming languages like Python or TensorFlow tend to earn higher salaries.

What does an applied AI engineer do?

An applied AI engineer develops and implements artificial intelligence models and algorithms to solve real-world problems. They work with data, machine learning frameworks, and programming languages like Python or TensorFlow to create practical AI solutions for businesses or products.

What job categories do people searching Applied Ai Engineer jobs in Silver Spring, MD look for?

The top searched job categories for Applied Ai Engineer jobs in Silver Spring, MD are:

What cities near Silver Spring, MD are hiring for Applied Ai Engineer jobs?

Cities near Silver Spring, MD with the most Applied Ai Engineer job openings:

Infographic showing various Applied Ai Engineer job openings in Silver Spring, MD as of August 2026, with employment types broken down into 71% Full Time, 26% Part Time, and 3% Contract. Highlights an 67% Physical, 3% Hybrid, and 30% Remote job distribution.

Senior Applied AI Engineer - Data Science & Analytics

Visionist, Inc.

Columbia, MD • On-site

$170K - $240K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 18 days ago


Job description

Description
Active Top Secret (TS/SCI) clearance with polygraph is required.
Visionist has an exciting new, fully FUNDED opportunity for a Senior Applied AI Engineer - Data Science & Analytics on our largest PRIME contract. Our team of Analysts and Engineers is motivated by the direct impact on the mission, crafting specialized tools for enhanced efficiency and quick iterations for our operations user base. Seeing your tools in real-time action brings immediate gratification. This premier program encompasses traditional software services including Systems Design and Engineering, Database Administration, Data Science and Knowledge Management, Enterprise Risk Management, Integration and Test, as well as Operations and Systems Support. The program is characterized by innovation and excitement, fostering meaningful engagements, and offering distinctive collaboration opportunities with users, policy makers, and mission leadership, all while maintaining a service mindset. If you thrive in a collaborative work environment and enjoy utilizing a diverse tech stack, then this opportunity is tailor-made for you!
For over 15 years, Visionist has been solving the Intelligence Community's toughest software and analysis challenges. As a 100% employee-owned company, we prioritize our people-your job security is assured. We embed small engineering teams with analysts to rapidly identify and solve mission capability gaps playing a critical role in defending our nation's cyber infrastructure & providing expertise in malware analysis, attribution, mapping adversarial infrastructure, pen testing, and operational planning. Our open-door leadership team fosters a supportive culture, where internal growth and promotion opportunities are the norm. Don't just take our word for it-check out our 4.8-star review on Glassdoor. Join a company that feels like a family with regular happy hours, baseball games, activity clubs and more. Check us out at www.visionistinc.com.
Your contributions are...
- Design and develop AI-enabled analytics applications using Python and modern software engineering practices
- Perform exploratory data analysis, feature engineering, statistical analysis, and machine learning on mission datasets
- Develop pattern-of-life, anomaly detection, clustering, and predictive analytics capabilities
- Build retrieval-augmented generation (RAG) and LLM-powered workflows that enhance analytical processes
- Collaborate directly with mission customers to understand datasets and develop AI-driven analytical solutions
- Integrate structured and unstructured data into scalable AI applications
- Evaluate emerging AI and machine learning techniques for mission applicability
- Mentor junior engineers and contribute to technical direction across the team
Requirements for your new career...
- Bachelor's degree in a technical discipline. (Additional 4 years of experience may substitute degree)
- 12 years of experience in software development
- Experience developing production software using Python
- Experience with data science, machine learning, or statistical analysis
- Experience using libraries such as Pandas, NumPy, Scikit-learn, or similar
- Experience building AI or machine learning applications
- Experience collaborating directly with customers to solve analytical problems
- Experience working with SQL, Elasticsearch, or other large-scale data platforms
- Strong analytical and problem-solving skills
- Ability to communicate technical concepts to both technical and non-technical stakeholders
Benefits of becoming a Visionist: Your New Career
- We are a 100% employee-owned company, so our employees see the benefit of their contributions and have a stake in our overall success!
- Competitive 15% retirement contribution! (5% 401K match & 10% ESOP)
- 4 weeks paid time off that is never "use or lose", 12 paid holidays, comp time, overtime, AND flexible work hours
- 80 hours of paid parental leave with an additional $8,000 supplemental payment upon returning from maternity
- Medical, dental, & vision benefits for both individuals and families (those who waive medical benefits will receive an additional $4,160/year)
- Annual lifestyle bonus of $600 - use it towards gyms/fitness, new tech, or your HSA!
- Annual merit increases & performance-based bonuses
- Term life insurance, short-term disability, & long-term disability
Salary range: $170,000 - $240,000
Disclaimer: Salary for this position, along with additional compensation options, will be determined on an individual basis following the interview process, considering various factors such as years of experience, skills, education/certifications, contract specifications, market conditions, etc.
Not a good fit? Check out our other opportunities: https://jobs.jobvite.com/visionist
Next steps: Apply online and one of our recruiters will reach out to you. We have a streamlined process of phone screen with a recruiter, interview with a Visionist team at our HQ in Columbia, MD, and that is all!
Interested in learning more about Visionist and the work we do? Check out our website! https://www.visionistinc.com/what-we-do
U.S citizenship required (green card holders and permanent residents are not eligible). Applicants selected will be required to obtain / maintain a government security clearance.
Visionist, Inc. is an Equal Opportunity / Protected Veterans / Individuals with Disabilities employer.