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Applied Ai Engineer Jobs in Washington (NOW HIRING)

Venture Global, Inc.

Senior Applied AI Engineer

Arlington, VA · On-site

$120K - $165K/yr

Senior Applied AI Engineer Located: Arlington Summary The Senior Applied AI Engineer is responsible for turning business and operational needs into deployed AI solutions. This role works directly ...

Venturegloballng

Senior Applied AI Engineer

Arlington, VA

$120K - $165K/yr

Senior Applied AI Engineer Located: Arlington Summary The Senior Applied AI Engineer is responsible for turning business and operational needs into deployed AI solutions. This role works directly ...

Booz Allen Hamilton

Applied AI Engineer

Fort Belvoir, VA · On-site

$99K - $225K/yr

R0246156 Applied AI Engineer The Opportunity: As an experience d engineer, you know that artifi cia l intelligence (AI) is critical to understanding and processing massive datasets. Your ability to ...

Booz Allen Hamilton, Inc.

Applied AI Engineer

Reston, VA · On-site

$99K - $225K/yr

Reston, Virginia, USA Applied AI Engineer The Opportunity: As an experienced engineer, you know that artificial intelligence (AI) is critical to understanding and processing massive datasets. Your ...

Phase2 Technology

Applied AI Engineer

Fort Belvoir, VA · On-site

$77.60 - $176/hr

You Have * 3+ years of experience in software engineering, applied AI and ML, or full‑stack development, including AI integrations * Experience rapidly prototyping, developing, and iterating on ...

Bytoa

Senior Applied AI Engineer

Columbia, MD · On-site

$225 - $255/hr

Bytoa is seeking a Senior Applied AI Engineer who doesn't just implement AI solutions, but pioneers them. This role is for someone who sees the current state of AI in cyber as primitive and is driven ...

Twenty

Applied AI Engineer

Washington, DC · On-site

The Applied AI Engineer will build and ship language-model-powered systems, curate datasets, and collaborate with product and engineering teams to enhance AI capabilities for U.S. national security.

Booz Allen Hamilton

Applied AI Engineer

Reston, VA

$99K - $225K/yr

Applied AI Engineer The Opportunity: As an experienced engineer, you know that artificial intelligence (AI) is critical to understanding and processing massive datasets. Your ability to conduct ...

Twenty Technologies, Inc

Applied AI Engineer

Arlington, VA · On-site

$159K - $263K/yr

You'll partner closely with product and engineering to translate real operational needs into high-performing AI features, operating across cloud and on-premises environments where speed, correctness ...

Appian

Applied AI Engineer

Mclean, VA · On-site

$100 - $225/hr

We are seeking an AI Applied Engineer to be the builder behind our "AI-First" transformation. Key Responsibilities * Design, build, and maintain production-quality prompts, Gemini Gems, NotebookLMs ...

Andersch Ag

Senior Applied AI Engineer

Bowie, MD · On-site

$123.50 - $216/hr

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 ...

FTI Consulting, Inc.

Senior Applied AI Engineer

Bowie, MD · Hybrid

$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 ...

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All JobsApplied Ai Engineer JobsApplied Ai Engineer Jobs in Washington

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 are popular job titles related to Applied Ai Engineer jobs in Washington?

For Applied Ai Engineer jobs in Washington, the most frequently searched job titles are:

What job categories do people searching Applied Ai Engineer jobs in Washington look for?

The top searched job categories for Applied Ai Engineer jobs in Washington are:

What cities in Washington are hiring for Applied Ai Engineer jobs?

Cities in Washington with the most Applied Ai Engineer job openings:

Applied Ai Engineer jobs near you
Infographic showing various Applied Ai Engineer job openings in Washington as of August 2026, with employment types broken down into 74% Full Time, 17% Part Time, 2% Temporary, and 7% Contract. Highlights an 60% Physical, 4% Hybrid, and 36% Remote job distribution.

Senior Applied AI Engineer

Venture Global, Inc.

Arlington, VA • On-site

$120K - $165K/yr

Full-time

Posted 7 days ago

Job description

Venture Global LNG ("Venture Global") is a long-term, low-cost provider of American-produced liquefied natural gas. The company's Louisiana-based export projects service the global demand for North American natural gas and support the long-term development of clean and reliable North American energy supplies. Using reliable, proven technology in an innovative plant design configuration, Venture Global's modular, mid-scale plant design will replace traditional designs as it allows for the same efficiency and operational reliability at significantly lower capital cost.
We are seeking qualified applicants for the position:
Senior Applied AI Engineer
Located:
Arlington
Summary
The Senior Applied AI Engineer is responsible for turning business and operational needs into deployed AI solutions. This role works directly with business units to understand how they operate, identifies where AI agents can generate revenue, drive efficiency, or surface insights, and then architects, builds, and deploys those agents into production. The Senior Applied AI Engineer sits at the intersection of the business and the AI platform, partnering closely with Data Engineers for data and integration needs and with Data Scientists for machine learning model integrations, while building on the infrastructure and standards established by the AI Engineering team. This is a hands-on delivery role that pairs strong engineering skills with the business acumen and communication needed to translate ambiguous problems into working solutions. Given the proximity of these solutions to LNG operations, the Senior Applied AI Engineer will apply a safety-first, human-in-the-loop approach. The measures of an ideal candidate include technical proficiency, business acumen, stakeholder communication, delivery focus, collaboration, and a willingness to learn the domain. This new position will be based in our Arlington, VA headquarters and report to the Director of AI Engineering.
The position is full-time in office located in Arlington, VA.
General Description Duties & Responsibilities
  • Partner with business and operational stakeholders to understand their workflows, challenges, and objectives, and identify high-value opportunities to apply AI agents.
  • Translate business requirements into technical solution designs for agentic AI applications.
  • Build, deploy, and iterate on AI agents that analyze batch and streaming data to generate revenue, improve operational efficiency, or discover insights.
  • Collaborate with Data Engineers to define data requirements and integrate agents with enterprise data sources, ontology, and semantic models.
  • Collaborate with Data Scientists to integrate machine learning models into agentic solutions.
  • Develop prompts, tools, retrieval strategies, and orchestration logic to make agents accurate, reliable, and grounded in trusted data.
  • Design and implement evaluation approaches to measure agent quality, accuracy, and business impact.
  • Apply safety-first, human-in-the-loop design for solutions that interface with or near operational technology (OT).
  • Actively engage in business stakeholder requirement workshops to understand, interpret, and translate requirements into effective technical solutions.
  • Communicate solution options, trade-offs, and outcomes clearly to both technical and business audiences.
  • Build on the platform, frameworks, and standards established by the AI Engineering team, providing feedback to improve reusability and scalability.
  • Document solutions, workflows, and design decisions for maintainability and knowledge sharing.

Qualifications
  • 5+ years of experience in software, machine learning, or AI engineering, including delivering solutions in partnership with business stakeholders.
  • Bachelor's degree in Computer Science, Engineering, Mathematics, Data Analytics, or related field of study.
  • Hands-on experience building and deploying AI/ML or LLM-based applications in production.
  • Experience developing agentic AI solutions, including prompting, tool use, retrieval-augmented generation (RAG), and orchestration.
  • Strong proficiency in Python and modern AI/ML tooling.
  • Demonstrated ability to translate business problems into technical solutions and deliver measurable outcomes.
  • Experience integrating with enterprise data sources and machine learning models.
  • Strong presentation skills to effectively communicate solutions and results to stakeholders.
  • Excellent interpersonal and communication skills, with strong critical thinking and attention to detail.
  • Strong work ethic with the ability to effectively prioritize, meet deadlines, adapt to changing priorities, and succeed in a fast-paced environment.

Preferred Experience
  • Experience with agent frameworks (e.g., LangGraph, CrewAI, or custom orchestration).
  • Experience with self-hosted open-weight LLMs and API-based commercial models.
  • Experience with Databricks and streaming data platforms.
  • Experience working with streaming datasets/IoT or operational data.
  • Experience applying AI/ML solutions in the energy, LNG, manufacturing, or heavy industrial sectors.
  • Familiarity with ontology and semantic models.
  • Experience in agile development and sprint planning.
  • Strong technical writing skills.

Salary Range
$152,000 - $190,000
Venture Global LNG is an Equal Opportunity Employer. We do not discriminate on the basis of race, religion, color, sex, gender identity, sexual orientation, age, non-disqualifying physical or mental disability, national origin, veteran status or any other basis covered by appropriate law.

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