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Ai Optimization Jobs in Washington (NOW HIRING)

Finch AI

AI/ML Engineer - TS/SCI w/Polygraph

Mclean, VA · On-site

Familiarity with model evaluation frameworks, fine-tuning workflows, inference optimization, and AI observability/monitoring tools. * Experience with vector databases, AWS/cloud environments, Docker ...

micro1 AI

AI Training Specialist - Physics

Washington, DC · On-site +1

$80 - $150/hr

No prior experience in AI is required -- your domain knowledge is what matters. Scope of Work ... Recognize when correct reasoning can be optimized, and offer suggestions to sharpen or clarify the ...

Capital One

Lead AI Engineer (AI Foundations)

Mclean, VA · On-site

$103K - $136K/yr

Invent and introduce state-of-the-art LLM optimization techniques to improve the performance -- scalability, cost, latency, throughput -- of large scale production AI systems. * Contribute to the ...

Capital One

Lead AI Engineer (AI Foundations)

Mclean, VA · On-site

$103K - $136K/yr

Invent and introduce state-of-the-art LLM optimization techniques to improve the performance - scalability, cost, latency, throughput - of large scale production AI systems. * Contribute to the ...

Capital One

Lead AI Engineer (AI Foundations)

Mclean, VA · On-site

$103K - $136K/yr

Invent and introduce state-of-the-art LLM optimization techniques to improve the performance - scalability, cost, latency, throughput - of large scale production AI systems. * Contribute to the ...

Capital One

Lead AI Engineer (AI Foundations)

Mclean, VA · On-site

$103K - $136K/yr

Invent and introduce state-of-the-art LLM optimization techniques to improve the performance - scalability, cost, latency, throughput - of large scale production AI systems. * Contribute to the ...

Capital One

Lead AI Engineer (AI Foundations)

Mclean, VA · On-site

$103K - $136K/yr

Invent and introduce state-of-the-art LLM optimization techniques to improve the performance - scalability, cost, latency, throughput - of large scale production AI systems. * Contribute to the ...

Capital One

Lead AI Engineer (AI Foundations)

Mclean, VA

$103K - $136K/yr

Invent and introduce state-of-the-art LLM optimization techniques to improve the performance -- scalability, cost, latency, throughput -- of large scale production AI systems. * Contribute to the ...

Booz Allen Hamilton

AI Engineer

Washington, DC · On-site

$99 - $225/hr

We're looking for an AI Engineer to design, build, and operate production-grade AI systems at scale ... You'll ensure systems are observable and performant, implementing tracing, metrics, and optimizing ...

MyEyeDr.

Digital Marketing Analyst, SEO & Web

Vienna, VA · On-site

$85K - $95K/yr

Develop and own a GEO/AEO measurement framework in partnership with external SEO and AI search specialists, establishing how MyEyeDr. tracks and improves its presence in AI-generated answers ...

Cvent

AI Architect

Tysons, VA · On-site

$63.75 - $84/hr

The AI Architect will be responsible for designing, building, and optimizing the systems and AI-powered infrastructure that drives the autonomous customer journey for client services. This role ...

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Ai Optimization information

What are common challenges faced by professionals in AI optimization roles, and how can they be overcome?

Professionals in AI Optimization often encounter challenges such as balancing model accuracy with computational efficiency, handling large and complex datasets, and staying updated with rapidly evolving algorithms. To overcome these, it's important to collaborate closely with data engineers and domain experts, utilize scalable computing resources, and continuously invest in learning new optimization techniques. Participating in knowledge-sharing forums and leveraging open-source tools can also help address these challenges effectively.

What are the key skills and qualifications needed to thrive as an AI optimization specialist, and why are they important?

To thrive as an AI Optimization Specialist, you need a strong background in computer science, mathematics, and machine learning, often supported by a degree in a related field. Proficiency with programming languages like Python, optimization frameworks (such as TensorFlow or PyTorch), and knowledge of cloud platforms are typically required, along with relevant certifications. Analytical thinking, problem-solving, and effective communication are essential soft skills for translating complex data into actionable solutions. These skills ensure the development of efficient, scalable AI models that drive business value and innovation.

What is the difference between Ai Optimization vs Data Scientist?

AspectAi OptimizationData Scientist
Required CredentialsDegree in Computer Science, Data Science, or related fields; knowledge of AI/ML frameworksDegree in Statistics, Computer Science, or related fields; proficiency in programming and statistical analysis
Work EnvironmentTech companies, AI-focused teams, R&D departmentsResearch institutions, tech firms, finance, healthcare
Employer & Industry UsagePrimarily in AI development, machine learning optimization projectsData analysis, predictive modeling, data-driven decision making

Ai Optimization specialists focus on enhancing AI models' performance and efficiency, often working on machine learning algorithms and deployment. Data Scientists analyze large datasets to extract insights, build predictive models, and support decision-making. While both roles require strong technical skills and knowledge of data and algorithms, Ai Optimization is more specialized in refining AI systems, whereas Data Scientists have a broader scope in data analysis and interpretation.

What is AI optimization?

AI optimization involves developing and applying algorithms to improve the performance, efficiency, or accuracy of artificial intelligence systems. AI optimization specialists often work with machine learning models, tuning parameters, and using tools like Python or TensorFlow to enhance AI capabilities. Strong analytical skills and knowledge of optimization techniques are essential for this role.

Which AI Optimization job is highly paid?

Senior AI Optimization engineers and machine learning engineers specializing in AI model efficiency and deployment tend to have the highest salaries in the field. These roles often require advanced skills in deep learning, programming, and data analysis, and they typically command higher compensation due to their technical complexity and impact on business performance.

What are popular job titles related to Ai Optimization jobs in Washington?

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

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

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

What cities in Washington are hiring for Ai Optimization jobs?

Cities in Washington with the most Ai Optimization job openings:

Ai Optimization jobs near you
Infographic showing various Ai Optimization 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.

AI/ML Engineer - TS/SCI w/Polygraph

Finch AI

Mclean, VA • On-site

Full-time

Re-posted 13 days ago

Job description

AI/ML Engineer
Clearance: Must hold an existing active TS/SCI with required polygraph (US Citizenship required)
Location: McLean, VA Onsite Daily
Salary: 180,000-250,000 Commensurate with experience
Responsibilities:
  • Implement and maintain RAG pipelines, including document processing, embedding generation, retrieval configuration, and prompt assembly.
  • Integrate LLMs into applications using available APIs and frameworks.
  • Develop and maintain REST API interactions to support data retrieval and system integration.
  • Design or refine Postgres schemas to improve data organization and query performance.

Requirements:
  • Demonstrated ability to conduct independent technical research, evaluate emerging AI/ML approaches, and apply advanced analytical problem-solving comparable to PhD-level research environments.
  • Ability to rapidly learn and apply new AI/ML methodologies, tools, and frameworks in support of evolving mission requirements.
  • Experience developing AI/ML applications focused on Retrieval-Augmented Generation (RAG), semantic retrieval, LLM integration, or related AI workflows.
  • Strong proficiency in Python and modern AI/ML libraries, frameworks, and API integrations.
  • Active/current TS/SCI with required polygraph (US citizenship required)
  • Willingness to work onsite full time.

Preferred Skills:
  • Advanced research experience in machine learning, deep learning, natural language processing, generative AI, reinforcement learning, computer vision, or related disciplines.
  • Experience publishing research, contributing to open-source AI/ML initiatives, or leading experimental and prototype development efforts.
  • Familiarity with model evaluation frameworks, fine-tuning workflows, inference optimization, and AI observability/monitoring tools.
  • Experience with vector databases, AWS/cloud environments, Docker, and containerized AI/ML development workflows.
  • Experience designing and integrating REST APIs and scalable data architectures.

Education and Work Experience:
  • 8 years of experience with a Bachelor's degree; or 7 years of experience with a Masters degree; or 6 years of experience with a Doctorate

About FINCH AI
Finch AI is a fast-growing, fast-paced software development organization; our mission is to build new ways of interacting with information. We do that by leveraging game-changing intellectual property, cloud infrastructure expertise, and a staff that is second to none. Together, we build and support products that address complex, real-time data and analytics needs in the enterprise.
Our teams are comprised of successful people that enjoy solving problems, engaging in substantive technical discussions and have passion for their work. We have very high expectations in terms of skill, motivation, self-organization and productivity. We look for people who excel working in groups, virtual and collocated, as well as those who are comfortable with fast paced agile development.
Finch AI is an equal opportunity employer.

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