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Ai Engineer Jobs in Springfield, VA (NOW HIRING)

AI Engineer

Potomac, MD · On-site

$99K - $225K/yr

AI Engineer The Opportunity: As an AI engineer, you'll design and deliver production-grade AI systems. You'll own RAG pipelines, evaluation systems, and performance optimization leveraging modern AI ...

New

AI Engineer

Annandale, VA · On-site

$99K - $225K/yr

AI Engineer The Opportunity: As an AI engineer, you'll design and deliver production-grade AI systems. You'll own RAG pipelines, evaluation systems, and performance optimization leveraging modern AI ...

New

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 ...

AI Engineer

Reston, VA · On-site

$99K - $225K/yr

AI Engineer The Opportunity: As an AI engineer, you'll design and deliver production-grade AI systems. You'll own RAG pipelines, evaluation systems, and performance optimization leveraging modern AI ...

AI Engineer

Fairfax, VA · On-site

$99K - $225K/yr

AI Engineer The Opportunity: As an AI engineer, you'll design and deliver production-grade AI systems. You'll own RAG pipelines, evaluation systems, and performance optimization leveraging modern AI ...

New

AI Engineer

Washington, DC · On-site

$99K - $225K/yr

AI Engineer The Opportunity: As an AI engineer, you'll design and deliver production-grade AI systems. You'll own RAG pipelines, evaluation systems, and performance optimization leveraging modern AI ...

AI Engineer

Upper Marlboro, MD · On-site

$99K - $225K/yr

AI Engineer The Opportunity: As an AI engineer, you'll design and deliver production-grade AI systems. You'll own RAG pipelines, evaluation systems, and performance optimization leveraging modern AI ...

New

AI Engineer

Kensington, MD · On-site

$99K - $225K/yr

AI Engineer The Opportunity: As an AI engineer, you'll design and deliver production-grade AI systems. You'll own RAG pipelines, evaluation systems, and performance optimization leveraging modern AI ...

New

They are seeking a highly skilled Generative AI Engineer to design, develop, and deploy advanced AI-powered solutions leveraging Large Language Models (LLMs) and modern cloud-native architectures ...

Senior AI Engineer

Reston, VA · On-site

$108K - $149K/yr

Senior Agentic AI Engineer Duration: 12 Months (High Possibility of Extension) Location: Reston, VA We are seeking a Senior Agentic AI Engineer to design, develop, and deploy production-grade ...

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 ...

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 ...

Analytica is seeking an AI Engineer to support the development of scalable AI applications, text analytics pipelines, and agentic AI solutions that improve taxpayer service, compliance, and internal ...

Analytica is seeking an AI Engineer to support the development of scalable AI applications, text analytics pipelines, and agentic AI solutions that improve taxpayer service, compliance, and internal ...

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 ...

Showing results 41-60

Ai Engineer information

See Springfield, VA salary details

$40.7K

$106.3K

$143.6K

How much do ai engineer jobs pay per year?

As of Aug 18, 2026, the average yearly pay for ai engineer in Springfield, VA is $106,283.00, according to ZipRecruiter salary data. Most workers in this role earn between $87,700.00 and $121,700.00 per year, depending on experience, location, and employer.

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.

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 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, deep learning, and data analysis tools, often programming in languages like Python or TensorFlow. Their responsibilities include designing AI systems, optimizing performance, and ensuring integration with existing software infrastructure.

What are popular job titles related to Ai Engineer jobs in Springfield, VA?

For Ai Engineer jobs in Springfield, VA, the most frequently searched job titles are:

What job categories do people searching Ai Engineer jobs in Springfield, VA look for?

The top searched job categories for Ai Engineer jobs in Springfield, VA are:

What cities near Springfield, VA are hiring for Ai Engineer jobs?

Cities near Springfield, VA with the most Ai Engineer job openings:

Infographic showing various Ai Engineer job openings in Springfield, VA as of August 2026, with employment types broken down into 74% Full Time, 20% Part Time, 1% Temporary, and 5% Contract. Highlights an 63% Physical, 4% Hybrid, and 33% Remote job distribution, with an average salary of $106,283 per year, or $51.1 per hour.

$99K - $225K/yr

Full-time

Medical, Life, Retirement, PTO

Posted 2 days ago

New


Booz Allen Hamilton rating

8.9

Company rating: 8.9 out of 10

Based on 49 frontline employees who took The Breakroom Quiz

9th of 72 rated business consultants


Job description

AI Engineer
The Opportunity:
As an AI engineer, you'll design and deliver production-grade AI systems. You'll own RAG pipelines, evaluation systems, and performance optimization leveraging modern AI infrastructure and tooling to build scalable, observable, and efficient services. You'll work across the full AI application lifecycle from enterprise data ingestion and retrieval to prompt engineering, evaluation, deployment, observability, and production operations building secure, scalable AI solutions for mission-critical federal environments.
You Have:
  • 3+ years of experience building production systems, including AI / ML applications
  • Experience building LLM systems using RAG frameworks such as LangChain and LlamaIndex, or custom pipelines and vector stores with Pinecone, Weaviate, FAISS, or OpenSearch Vector Search
  • Experience designing embedding pipelines, including document ingestion, chunking strategies, indexing, met adata filtering, retrieval optimization, and hybrid search, and designing APIs and services using FastAPI, Flask, or Node.js
  • Experience with cloud-native architectures, including AWS services such as Bedrock, SageMaker, EKS or ECS, S3, IAM, Lambda, CloudWatch, and Secrets Manager, and agent frameworks and orchestration patterns such as LangGraph, tool calling, and function calling APIs
  • Experience implementing observability, including logging and tracing with OpenTele met ry, Datadog, or CloudWatch, and met rics pipelines tracking latency, throughput, token usage, cache hit rate, and error rates
  • Experience optimizing performance using caching layers such as Redis, parallelization or async workflows, and chunking and retrieval tuning, and designing automated evaluation pipelines using benchmark datasets, LLM-as-a-judge techniques, regression testing, and human evaluation workflows
  • Experience supporting production AI services, including deployment, monitoring, incident response, debugging, and performance tuning, and managing prompt templates, prompt versioning, model configurations, and structured outputs across development and production environments
  • Knowledge of AI security concepts, including prompt injection, jailbreak resistance, data leakage prevention, guardrails, secure prompt design, and responsible AI practices
  • Ability to obtain a TS/SCI clearance
  • Bachelor's degree

Nice If You Have:
  • Experience supporting DoD clients or other federal mission environments
  • Experience with high-performance inference systems such as vLLM, Ray Serve, or Triton Inference Server
  • Experience with semantic caching and embedding reuse strategies
  • Experience with guardrail frameworks such as Rebuff, Guardrails.ai, or custom filtering systems
  • Experience integrating AI applications with enterprise data platforms and knowledge repositories such as Databricks, Snowflake, OpenSearch, PostgreSQL, SharePoint, Confluence, or S3-based document stores
  • Experience deploying AI workloads into AWS GovCloud, IL4 or IL5 environments, or other secure cloud environments
  • Experience with event-driven architectures and messaging technologies such as Amazon SQS, Kafka, RabbitMQ, or Amazon EventBridge
  • Experience with Model Context Protocol ( MCP ) or modern AI agent interoperability standards

Clearance:
Applicants selected will be subject to a security investigation and may need to meet eligibility requirements for access to classified information .
Compensation
At Booz Allen, we celebrate your contributions, provide you with opportunities and choices, and support your total well-being. Our offerings include health, life, disability, financial, and retirement benefits, as well as paid leave, professional development, tuition assistance, work-life programs, and dependent care. Our recognition awards program acknowledges employees for exceptional performance and superior demonstration of our values. Full-time and part-time employees working at least 20 hours a week on a regular basis are eligible to participate in Booz Allen's benefit programs. Individuals that do not meet the threshold are only eligible for select offerings, not inclusive of health benefits. We encourage you to learn more about our total benefits by visiting the Resource page on our Careers site and reviewing Our Employee Benefits page.
Salary at Booz Allen is determined by various factors, including but not limited to location, the individual's particular combination of education, knowledge, skills, competencies, and experience, as well as contract-specific affordability and organizational requirements. The projected compensation range for this position is $99,000.00 to $225,000.00 (annualized USD). The estimate displayed represents the typical salary range for this position and is just one component of Booz Allen's total compensation package for employees. This posting will close within 90 days from the Posting Date.
Identity Statement
As part of the hiring process, we will ask you to complete an identity verification process that leverages advanced biometrics and artificial intelligence to ensure authenticity and protect against identity fraud. You are expected to be on camera during interviews and assessments. We reserve the right to take your picture to verify your identity and prevent fraud.
Candidate AI Usage Policy
AI is a part of our daily work at Booz Allen, and we are committed to the responsible and ethical use of AI tools. However, we want to ensure a fair candidate process based on your own skills and knowledge. As part of this commitment, the use of artificial intelligence (AI) or other tools to assist with responses during interviews (whether in-person or virtual) is prohibited unless permission is explicitly provided.
Work Model
Our people-first culture prioritizes the benefits of collaboration, whether it occurs in person or virtually. To support engagement and effective communication, employees working virtually are generally expected to have their cameras on during meetings.
  • Remote: If this position is listed as remote, there may still be occasions when you are required to work in person at a Booz Allen or customer facility.
  • Hybrid: If this position is listed as hybrid, you will be expected to work from a Booz Allen facility frequently, in alignment with leadership expectations and the needs of the role. You may also be required to work from or visit a customer facility.
  • Onsite: If this position is listed as onsite, work will primarily be performed at a Booz Allen office or customer facility, where employees will collaborate directly with colleagues and customers as required by the role.

Commitment to Non-Discrimination
All qualified applicants will receive consideration for employment without regard to disability, status as a protected veteran or any other status protected by applicable federal, state, local, or international law.

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About Booz Allen Hamilton

Sourced by ZipRecruiter

Booz Allen Hamilton is a leading provider of management and technology consulting services to the US government in defense, intelligence, and civil markets. Headquartered in McLean, Virginia, the firm also serves major corporations, institutions, and not-for-profit organizations. Founded in 1914 by Edwin G. Booz, the company has a long-standing tradition of helping clients achieve success by delivering a wide range of consulting services that include strategic planning, human capital and learning, communication, systems development, and others. The company's mission is to empower people to change the world, and it has a reputation for maintaining the highest standards of integrity and-excellence.

Industry

It services

Company size

10,000+ Employees

Headquarters location

McLean, VA, US

Year founded

1914