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Ai Engineer Jobs in Reston, VA (NOW HIRING)

The AI Engineer will build AI systems to support scientific discovery for federal clients, develop conversational interfaces, and design AI agents for data processing. Responsibilities : • Build AI ...

Lead Applied AI Engineer II

Arlington, VA · On-site

$117K - $155K/yr

Share this job: Share: Share Lead Applied AI Engineer II with Facebook Share Lead Applied AI Engineer II with LinkedIn Share Lead Applied AI Engineer II with Twitter Caution against fraudulent job ...

AWS AI Engineer Location: Herndon, VA Work Mode: Onsite About the Role We are seeking a highly skilled AWS AI Engineer with strong hands-on experience in Kubernetes, EKS, and Generative AI systems.

AI Engineer

Arlington, VA · On-site +1

$77K - $176K/yr

Share AI Engineer The Opportunity: As a programmer, you know that machine learning is critical to understanding and processing massive datasets. Your ability to conduct statistical analyses on ...

AI Engineer The Opportunity: As a programmer, you know that machine learning is critical to understanding and processing massive datasets. Your ability to conduct statistical analyses on business ...

Position Summary We are seeking an AI Engineer to support model transformation initiatives focused on modernizing how models are monitored, governed, reported, and improved. This role will contribute ...

Our services span AI Strategy, Data Intelligence, AI & Machine Learning, Intelligent Automation, Enterprise Platforms and Engineering, with a specialized focus on National Security and Federal ...

AI Engineer

MD · On-site

$80K - $160K/yr

The AI Engineer will support Barrow Wise's research and development projects and perform the following duties: * Design and develop scalable solutions using AI, deep learning models, and large ...

Our services span AI Strategy, Data Intelligence, AI & Machine Learning, Intelligent Automation, Enterprise Platforms and Engineering, with a specialized focus on National Security and Federal ...

We are seeking a highly skilled Generative AI Engineer to design, develop, and deploy advanced AI-powered solutions leveraging Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), and ...

AI Engineer

Reston, VA · On-site

$75K - $190K/yr

We are seeking a highly skilled Generative AI Engineer to design, develop, and deploy advanced AI-powered solutions leveraging Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), and ...

AI Engineer

Reston, VA · On-site

$75K - $190K/yr

We are seeking a highly skilled Generative AI Engineer to design, develop, and deploy advanced AI-powered solutions leveraging Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), and ...

The Red Gate Group is seeking a senior AI Engineer to support a key Intelligence Community customer on its JWICS Modernization initiative, bringing advanced analytic operations, knowledge management ...

Senior AI Engineer

Washington, DC · On-site

$118K - $162K/yr

Senior AI Engineer Hybrid - Washington D.C. (preferred) or New York, NY About The Role We are seeking a highly motivated and innovative Senior AI Engineer to join our brilliant team of analytics ...

Senior AI Engineer

Washington, DC

$118K - $162K/yr

Senior AI Engineer Hybrid - Washington D.C. (preferred) or New York, NY About The Role We are seeking a highly motivated and innovative Senior AI Engineer to join our brilliant team of analytics ...

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Ai Engineer information

See Reston, VA salary details

$40.6K

$106.1K

$143.3K

How much do ai engineer jobs pay per year?

As of Jul 20, 2026, the average yearly pay for ai engineer in Reston, VA is $106,053.00, according to ZipRecruiter salary data. Most workers in this role earn between $87,600.00 and $121,400.00 per year, depending on experience, location, and employer.

What engineers make $500,000?

Senior AI engineers, machine learning engineers, and data scientists with extensive experience and advanced skills in AI, deep learning, and programming can earn $500,000 or more annually, especially in high-demand industries or at large tech companies. Achieving this level often requires specialized expertise, advanced degrees, and a strong track record of impactful projects.

What are some common challenges faced by AI Engineers in their day-to-day work?

AI Engineers often encounter challenges such as handling large and complex datasets, optimizing and debugging machine learning models, and ensuring their algorithms scale efficiently in production environments. Balancing innovation with real-world constraints—such as limited computational resources or data privacy concerns—is also a frequent aspect of the role. Additionally, working closely with data scientists, software developers, and stakeholders requires clear communication and adaptability. These challenges make the role dynamic and offer many opportunities for learning and professional growth.

What are the key skills and qualifications needed to thrive in the Ai Engineer position, and why are they important?

To thrive as an AI Engineer, you need a strong background in computer science, mathematics, and machine learning, usually backed by a relevant degree or equivalent experience. Proficiency with programming languages such as Python, TensorFlow, PyTorch, and tools like cloud platforms or version control systems is essential. Strong problem-solving abilities, effective communication, and a collaborative mindset are key soft skills for working in interdisciplinary teams. These competencies enable AI Engineers to design, develop, and deploy effective AI solutions that drive business and technological innovation.

What is a $900000 AI job?

A $900,000 AI job typically refers to a high-level position in artificial intelligence, such as senior AI engineer, research director, or AI architect, often requiring advanced skills in machine learning, deep learning, and data analysis. These roles usually involve leadership responsibilities, extensive experience, and may include stock options or bonuses as part of compensation packages.

What are the jobs of an AI engineer?

An AI engineer develops, tests, and implements artificial intelligence models and algorithms to solve complex problems. They work with machine learning frameworks, programming languages like Python or Java, and data processing tools, often collaborating with data scientists and software developers. Their responsibilities include designing AI systems, optimizing models, and ensuring their integration into applications or products.

What does an AI engineer do?

An AI engineer designs, develops, and implements artificial intelligence models and systems, such as machine learning algorithms and neural networks. They work with data, programming languages like Python, and tools like TensorFlow or PyTorch to create solutions that enable machines to perform tasks typically requiring human intelligence.

What does an AI Engineer do?

An AI Engineer develops, implements, and optimizes artificial intelligence models and algorithms to solve complex problems. They work with machine learning frameworks, data pipelines, and large datasets to deploy AI-driven solutions. Their responsibilities often include programming, data preprocessing, model training, and integrating AI into applications. AI Engineers collaborate with data scientists and software engineers to build intelligent systems for businesses across various industries.

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AI Engineer

Full-time

Re-posted 3 days ago


Accenture Federal Services rating

8.4

Company rating: 8.4 out of 10

Based on 19 frontline employees who took The Breakroom Quiz

50th of 451 rated business services


Job description

Job Summary:
Accenture Federal Services is dedicated to helping the US federal government enhance national security and improve lives through technology. The AI Engineer will build AI systems to support scientific discovery for federal clients, develop conversational interfaces, and design AI agents for data processing.
Responsibilities:
• Build AI systems that power a scientific discovery platform for our federal client.
• Develop conversational interfaces that allow users to access complex, multi-domain scientific datasets using natural language.
• Design AI agents that automate experimental data processing at scale.
• Implement retrieval‑augmented generation (RAG) architectures to transform decades of scientific research into actionable intelligence.
• Collaborate with stakeholders to solve one of the client’s 26 “lighthouse challenges” requiring faster, smarter decision-making.
• Work across technologies such as AWS Bedrock, Databricks, vector databases, and advanced prompt‑engineering techniques.
• Build agent frameworks supporting scientific discovery in areas like subsurface geology, supply chain intelligence, and materials science.
Qualifications:
Required:
• US Citizen or Dual citizen (Public Trust eligible)
• 5+ years of relevant professional experience.
• Deep technical expertise in large language models (LLMs).
• Strong hands-on experience building and implementing RAG systems.
• Ability to work within fast-paced, cross-functional teams.
• Readiness to dive deep into advanced AI platforms and architectures.
Preferred:
• Experience working with scientific datasets or domain areas such as geology, materials science, or supply chain intelligence.
• Familiarity with AWS Bedrock, Databricks, and vector database ecosystems.
• Background in designing AI-driven scientific or research workflows.
• Strong prompt-engineering or AI agent–development experience.
Company:
Accenture Federal Services is a leading US federal services company and subsidiary of Accenture. Founded in 1989, the company is headquartered in Arlington, USA, with a team of 10001+ employees. The company is currently Late Stage.

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