ZipRecruiter

Log In

1

Ai Rag Jobs in Brunswick, MD (NOW HIRING)

Booz Allen Hamilton, Inc.

AI/ML Engineer, Lead

Ashburn, VA · On-site

$104K - $138K/yr

Experience with LLMs, generative AI, RAG systems, and prompt engineering * Experience building agentic AI systems, including multi-agent frameworks, autonomous agents, tool and function calling ...

Booz Allen Hamilton

AI/ML Engineer, Lead

Ashburn, VA · On-site

$104K - $138K/yr

Experience with LLMs, generative AI, RAG systems, and prompt engineering* Experience building agentic AI systems, including multi-agent frameworks, autonomous agents, tool and function calling ...

Booz Allen Hamilton

AI/ML Engineer, Lead

Ashburn, VA · On-site

$104K - $138K/yr

Experience with LLMs, generative AI, RAG systems, and prompt engineering * Experience building agentic AI systems, including multi-agent frameworks, autonomous agents, tool and function calling ...

Booz Allen Hamilton, Inc.

AI/ML Engineer, Lead

Ashburn, VA · On-site +1

$104K - $138K/yr

Experience with LLMs, generative AI, RAG systems, and prompt engineering * Experience building agentic AI systems, including multi-agent frameworks, autonomous agents, tool and function calling ...

Jobtailor

Junior AI Prompt Engineer

Ashburn, VA · On-site

Identify opportunities for advanced AI, automation, RAG, and agentic AI solutions and coordinate with technical teams Requirements * U.S. Citizenship * Bachelor's degree or equivalent combination of ...

New

CACI

AI Prompt Engineer

Ashburn, VA · Hybrid

AI Prompt Engineer Job Category: Engineering Time Type: Full time Minimum Clearance Required to ... Fine-tuning & RAG Support: Provide input and collaborate on strategies for model fine-tuning and ...

CACI

AI Prompt Engineer

Ashburn, VA · Hybrid

AI Prompt Engineer Job Category: Information Technology Time Type: Full time Minimum Clearance ... Fine-tuning & RAG Support: Provide input and collaborate on strategies for model fine-tuning and ...

CACI

AI Prompt Engineer

Ashburn, VA · Hybrid

AI Prompt Engineer Job Category: Information Technology Time Type: Full time Minimum Clearance ... Fine-tuning & RAG Support: Provide input and collaborate on strategies for model fine-tuning and ...

Ignite IT

Jr. AI Prompt Engineer

Ashburn, VA · On-site

Identify opportunities for advanced AI capabilities, automation, Retrieval-Augmented Generation (RAG), and agentic AI solutions and coordinate with technical teams as needed. Requirements * U.S.

Ignite IT

Jr. AI Prompt Engineer

Ashburn, VA · On-site

Identify opportunities for advanced AI capabilities, automation, Retrieval-Augmented Generation (RAG), and agentic AI solutions and coordinate with technical teams as needed. Requirements * U.S.

Ignite IT

Jr. AI Prompt Engineer

Ashburn, VA · On-site

Identify opportunities for advanced AI capabilities, automation, Retrieval-Augmented Generation (RAG), and agentic AI solutions and coordinate with technical teams as needed. Requirements * U.S.

Ignite IT

Jr. AI Prompt Engineer

Ashburn, VA · On-site

Identify opportunities for advanced AI capabilities, automation, Retrieval-Augmented Generation (RAG), and agentic AI solutions and coordinate with technical teams as needed. Requirements * U.S.

micro1 AI

AI Systems Engineer - Defense

Ashburn, VA · On-site +1

$40 - $60/hr

Design and integrate LLM applications, including multi-agent systems, tool-using agents, RAG ... Build AI systems that turn mission data, models, and tools into real operational autonomy. * Own ...

micro1 AI

AI Systems Engineer - Defense

Germantown, MD · On-site +1

$40 - $60/hr

Design and integrate LLM applications, including multi-agent systems, tool-using agents, RAG ... Build AI systems that turn mission data, models, and tools into real operational autonomy. * Own ...

next page

Showing results 1-20

All JobsAi Rag JobsAi Rag Jobs in Brunswick, MD

Ai Rag information

See Brunswick, MD salary details

$29.6K

$53.9K

$77.3K

How much do ai rag jobs pay per year?

As of Sep 15, 2026, the average yearly pay for ai rag in Brunswick, MD is $53,909.00, according to ZipRecruiter salary data. Most workers in this role earn between $45,400.00 and $60,200.00 per year, depending on experience, location, and employer.

What is an AI RAG?

AI RAGs, or Retrieval-Augmented Generation systems, are a type of artificial intelligence that combines the power of retrieving information from large databases or documents with generating human-like text responses. This approach allows AI models to provide more accurate, up-to-date, and contextually relevant answers by referencing external data sources during the generation process. RAGs are commonly used in applications like chatbots, search engines, and customer support systems, where comprehensive and factual responses are important.

What are the key skills and qualifications needed to thrive as an AI researcher?

To thrive as an AI Researcher, you need a strong background in computer science, mathematics, and machine learning, usually with an advanced degree such as a Master's or Ph.D. Proficiency with programming languages like Python, deep learning frameworks (e.g., TensorFlow, PyTorch), and familiarity with scientific research tools is essential. Critical thinking, creativity, and effective collaboration are vital soft skills for generating novel ideas and working in multidisciplinary teams. These skills and qualities are crucial to drive innovation and solve complex problems in the rapidly evolving field of artificial intelligence.

What are common challenges faced by AI RAG engineers when integrating retrieval systems with large language models?

AI RAG engineers often encounter challenges such as ensuring seamless integration between retrieval systems and language models, maintaining low latency for real-time responses, and handling the quality and relevance of retrieved data. Additionally, tuning the system to balance retrieval accuracy with generative fluency can be complex, especially when dealing with large or unstructured datasets. Collaboration with data engineers, ML researchers, and product teams is essential to address these challenges and optimize system performance.

What is the difference between Ai Rag vs Data Analyst?

AspectAi RagData Analyst
Required CredentialsTypically a diploma or certification in AI, machine learning, or related fieldsBachelor's degree in statistics, mathematics, or related fields
Work EnvironmentTech companies, AI startups, research labsBusiness, finance, healthcare, and various industries
Employer & Industry UsagePrimarily in AI development and researchAcross industries for data interpretation and decision-making
Common Search & ComparisonYesYes

Ai Rag and Data Analyst roles share overlapping skills in data handling and analysis, but Ai Rag focuses more on AI-specific applications and machine learning, while Data Analysts concentrate on interpreting data to inform business decisions. Both roles are vital in data-driven industries, with Ai Rag often working in AI development environments and Data Analysts supporting strategic insights across sectors.

What cities near Brunswick, MD are hiring for Ai Rag jobs?

Cities near Brunswick, MD with the most Ai Rag job openings:

Ai Rag jobs near you

AI/ML Engineer, Lead

Ashburn, VA • On-site

Booz Allen Hamilton, Inc.
IT Services • 10K+ employees
Learn more about Booz Allen Hamilton, Inc.external

$104K - $138K/yr

Full-time

Medical, Life, Retirement, PTO

Re-posted 4 days ago

Booz Allen Hamilton rating

8.9

Company rating: 8.9 out of 10

Based on 49 frontline employees who took The Breakroom Quiz

Job description

AI/ML Engineer, Lead
The Opportunity:
As an AI/Machine Learning Engineer, you'll lead the design, development, and deployment of advanced AI and ML systems that support enterprise products and strategic initiatives. This role combines deep technical expertise with the ability to collaborate across engineering, product, and data teams. The ideal candidate has extensive experience building production-grade ML models, optimizing model performance, and guiding architectural decisions around scalable AI systems. As an experienced engineer, you know that machine learning is critical to understanding and processing massive datasets. Your ability to conduct statistical analyses on business processes using ML techniques makes you an integral part of delivering a customer-focused solution.
What You'll Do:
  • Design, develop, and deploy machine learning models and AI systems for large-scale production environments.
  • Lead end-to-end ML lifecycle processes including data exploration, feature engineering, experimentation, model training, evaluation, and deployment.
  • Architect scalable ML pipelines and infrastructure using modern frameworks and cloud technologies.
  • Collaborate with cross-functional stakeholders to translate business requirements into ML-driven solutions.
  • Mentor junior engineers and contribute to best practices, coding standards, and technical excellence.
  • Evaluate and integrate emerging AI technologies, tools, and frameworks aligned with organizational goals.
  • Monitor and optimize deployed models for accuracy, performance, drift, reliability, and ethical considerations.
  • Partner with data engineering teams to ensure high-quality datasets and robust pipeline integrations.
  • Design, build, and deploy large language model (LLM) and agentic AI solutions, including multi-agent orchestration, tool use, autonomous workflows, and retrieval-augmented generation (RAG).
  • Optimize and deploy AI/ML models for edge environments, applying techniques such as quantization, pruning, and distillation to enable low-latency inference on resource-constrained and edge devices.

Work with us to solve real-world challenges and define ML strategy for law enforcement and homeland security clients.
Join us. The world can't wait.
You Have:
  • 8+ years of experience developing and deploying machine learning models in production environments
  • Experience in Python and ML frameworks
  • Experience with cloud platforms, such as AWS, Azure, or GCP, and tools for scalable ML systems, such as SageMaker, Azure ML, or Vertex AI
  • Experience building data pipelines
  • Experience with MLOps practices including CI/CD for ML, model versioning, monitoring, and deployment automation
  • Knowledge of ML algorithms, statistics, model optimization, and evaluation methodologies
  • Ability to design distributed systems and work with microservice-based architectures
  • Ability to communicate complex technical concepts clearly to non-technical stakeholders
  • Ability to obtain and maintain a Public Trust or Suitability/Fitness determination based on client requirements
  • Bachelor's degree in a Computer Science, Data Science, or Engineering field

Nice If You Have:
  • Experience with LLMs, generative AI, RAG systems, and prompt engineering
  • Experience building agentic AI systems, including multi-agent frameworks, autonomous agents, tool and function calling, orchestration libraries such as LangChain, LangGraph, LlamaIndex, AutoGen, or CrewAI
  • Experience with edge AI optimization and deployment, including model quantization, pruning, and distillation, and deployment to edge and embedded hardware using frameworks such as TensorRT, ONNX Runtime, OpenVINO, or TensorFlow Lite
  • Experience with open-source containerization and container orchestration technologies, including Docker and Kubernetes
  • Experience with MLOps for production and machine learning workloads
  • Possession of strong problem-solving skills
  • Master's degree preferred; Doctorate degree a plus

Vetting:
Applicants selected will be subject to a government investigation and may need to meet eligibility requirements of the U.S. government client.
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 $128,700.00 to $292,000.00 (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.

What Booz Allen Hamilton employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom

Booz Allen Hamilton logo

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

View All Booz Allen Hamilton Jobs

Apply