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

Senior Applied AI Engineer

Bowie, MD · On-site

$123K - $216K/yr

The ITG Senior Applied AI Engineer provides secondary leadership and is the primary backup for one or more Matrix Teams. A matrix team is defined as a technical steering committee focused on the ...

GEICO is seeking a Staff Engineer, Applied AI to help shape how Generative AI enhances customer and associate experiences across the enterprise. This is a senior, hands-on individual contributor role ...

GEICO is seeking a Staff Engineer, Applied AI to help shape how Generative AI enhances customer and associate experiences across the enterprise. This is a senior, hands-on individual contributor role ...

Senior Staff Engineer, Applied AI About GEICO At GEICO, we offer a rewarding career where your ambitions are met with endless possibilities. Every day we honor our iconic brand by offering quality ...

Staff Engineer, AI

Herndon, VA · On-site

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Staff AI Engineer About Us: BlackSky is a real-time intelligence company. We own and operate the ... Own and architect the mission-aligned roadmap for geospatial CV and applied AI, partnering with ...

Staff Engineer, AI

Herndon, VA · On-site +1

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Staff AI Engineer About Us: BlackSky is a real-time intelligence company. We own and operate the ... Own and architect the mission-aligned roadmap for geospatial CV and applied AI, partnering with ...

Showing results 21-40

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 81% Full Time, 17% Part Time, and 2% Contract. Highlights an 63% Physical, 4% Hybrid, and 33% Remote job distribution.

Senior Applied AI Engineer

FTI Consulting, Inc.

Bowie, MD • On-site

$123K - $216K/yr

Full-time

Re-posted 21 days ago


Job description

Who We Are
FTI Consulting is the leading global expert firm for organizations facing crisis and transformation. We work with many of the world's top multinational corporations, law firms, banks and private equity firms on their most important issues to deliver impact that makes a difference. From resolving disputes, navigating crises, managing risk and optimizing performance, our teams respond rapidly to dynamic and complex situations.
At FTI Consulting, you'll work side-by side with leaders who have shaped history, helping solve the biggest challenges making headlines today. From day one, you'll be an integral part of a focused team where you can make a real impact. You'll be surrounded by an open, collaborative culture that embraces diversity, recognition, professional development and, most importantly, you.
Are you ready to make your impact?
About the Role
The Information Technology Group (ITG) is a collection of people, processes and technology investments that are designed to achieve the business goals of FTI Consulting. The ITG Senior Applied AI Engineer provides secondary leadership and is the primary backup for one or more Matrix Teams. A matrix team is defined as a technical steering committee focused on the architecture, operational health, management, and monitoring of like systems grouped by technical function.
What You'll Do
  • Conceives, designs, and oversees the implementation of enterprise-wide systems development.
  • Researches and recommends software products to address business requirements. Ensures that the business and technical architecture of delivered solutions match customer requirements.
  • Develops, maintains and executes documentation, policies and procedures.
  • Responsible for the day to day sustaining activities for the FTI global enterprise application infrastructure.
  • Proactively meets with clients to determine business requirements, document specifications for recommendations of software solutions, and ensures that existing solutions continue to meet customer expectations and requirements.
  • Responsible for the execution and maintenance of:
    • Operation Calendars
    • Use and compliance with FTI's Change Management Control Process
    • Incident reporting and tracking
    • Use and compliance with the Systems Development Life Cycle (SDLC) standards when developing solutions.
  • Responsible for comprehensive NOC operations including monitoring, alerting, troubleshooting and resolution of issues and escalating to the appropriate technical resources to resolve issues.
  • Analyzes and maintains performance data to ensure optimal usage of software applications.
  • Assists in the development and management of all budgetary expenses as it relates to the applications development teams.

How You'll Grow
ITG uses an "IT Service Portfolio" approach to align with business priorities, and to articulate and communicate the diversification of IT investments for the business. FTI Consulting leverages the Information Technology Group (ITG) to accomplish the following goals: Improve Practitioner Productivity and grow the business with IT, Reduce Risks with IT in the business, and Manage a balanced set of IT investments that meet business objectives. We encourage our employees to become "Super Users" of all our services, take advantage of multiple opportunities to work with colleagues on the wide array of cross functional to inter department projects, and self-improve through professional development.
What You Will Need to Succeed
Basic Qualifications
  • 5 years of application or software development related experience; 2 years within FTI
  • Expert-level proficiency in Python and C#/.NET, with proven experience deploying AI solutions within the Azure AI ecosystem (e.g., MS Copilot, Azure AI Foundry, etc.).

Preferred Skills
  • Experience building and deploying generative AI solutions using large language models (LLMs) into Production
  • Hands-on exposure to AI agent frameworks or modern orchestration tools (such as Semantic Kernel, LangChain, or Autogen)
  • Experience with support and maintenance of COTS Enterprise ERP solutions
  • Excellent written and verbal communication skills
  • Four Year College Degree or equivalent job experience
  • High level certification in core area (MCAD, MCSD, or MCDBA)
  • Project Management Experience
  • Experience working with Windows 2003 server, IIS, SharePoint and SQL Server 2000 or 2005.

#LI-DB1
#LI-Hybrid
FTI Consulting is an equal opportunity employer and does not discriminate on the basis of race, color, national origin, ancestry, citizenship status, protected veteran status, religion, physical or mental disability, marital status, sex, sexual orientation, gender identity or expression, age, or any other basis protected by law, ordinance, or regulation.
Compensation
Minimum Pay: $123,500
Maximum Pay: $216,000
Compensation Disclosure: The compensation range reflects potential base salary for the role. Actual compensation is determined based on a wide array of relevant factors including market considerations, business needs, and an individual's location, skills, level of experience, and qualifications.