Booz Allen Hamilton is seeking a highly skilled Agentic AI Engineer to join their team focused on building autonomous, goal-oriented AI systems. The role involves designing intelligent agent ...
Booz Allen Hamilton is seeking a highly skilled Agentic AI Engineer to join their team focused on building autonomous, goal-oriented AI systems. The role involves designing intelligent agent ...
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Space Protection AI Mission Engineer
Chantilly, VA · On-site
$160K - $200K/yr
Engineering and Sciences Subcategory: Systems Engineer Schedule: Full-Time Shift: Day Job Travel: Yes - 10% of the time Minimum Clearance Required: TS.SCI_wPoly Clearance Level Must Be Able to Obtain:
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Annapolis Junction, MD · On-site
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$77K - $176K/yr
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Chantilly, VA · On-site +1
$77K - $176K/yr
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$99K - $225K/yr
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Mclean, VA · On-site
$99K - $225K/yr
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Mclean, VA · On-site
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Agentic AI Engineer
Mclean, VA · On-site
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Bethesda, MD · On-site
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Bethesda, MD · On-site
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Agentic AI Engineer
Mclean, VA · On-site
We need engineer's who can own the entire agent stack: a production frontend, a robust backend, a properly secured API and identity layer, a memory architecture that scales, and LLM integrations that ...
Quick apply
Agentic AI Engineer
Mclean, VA · On-site
We need engineer's who can own the entire agent stack: a production frontend, a robust backend, a properly secured API and identity layer, a memory architecture that scales, and LLM integrations that ...
Agentic AI Engineer
Bethesda, MD · On-site
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Bethesda, MD · On-site
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Agentic AI Engineer
Bethesda, MD · On-site
We need engineer's who can own the entire agent stack: a production frontend, a robust backend, a properly secured API and identity layer, a memory architecture that scales, and LLM integrations that ...
Quick apply
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Bethesda, MD · On-site
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Agentic AI Engineer
Washington, DC · On-site
$99K - $225K/yr
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As a member of a growing PNT team within Amazon Leo, the Time Transfer and Synchronization Engineer is responsible for designing, implementing, optimizing and monitoring high-precision ...
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Agentic AI Engineer
Bethesda, MD · On-site
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As a member of a growing PNT team within Amazon Leo, the Time Transfer and Synchronization Engineer is responsible for designing, implementing, optimizing and monitoring high-precision ...
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Leverage your knowledge of data structures, algorithms, and object-oriented design patterns to write robust full-stack software components. * Engineer with AI: Use AI coding tools fluently as a force ...
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Specific knowledge of the testing of energetic components during live firings for tactical missiles is preferred. Engineering knowledge and work with electrical engineering, Altium designer ...
Quick apply
Specific knowledge of the testing of energetic components during live firings for tactical missiles is preferred. Engineering knowledge and work with electrical engineering, Altium designer ...
Leverage your knowledge of data structures, algorithms, and object-oriented design patterns to write robust full-stack software components. * Engineer with AI: Use AI coding tools fluently as a force ...
Quick apply
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Components Engineer information
See Alexandria, VA salary details
$27.27 - $32.25
1% of jobs
$32.25 - $37.24
5% of jobs
$37.24 - $42.22
9% of jobs
$46.52 is the 25th percentile. Wages below this are outliers.
$42.22 - $47.20
12% of jobs
$47.20 - $52.18
10% of jobs
The median wage is $56.81 / hr.
$52.18 - $57.16
15% of jobs
$57.16 - $62.15
15% of jobs
$65.67 is the 75th percentile. Wages above this are outliers.
$62.15 - $67.13
13% of jobs
$67.13 - $72.11
10% of jobs
$72.11 - $77.09
10% of jobs
$77.09 - $82.07
2% of jobs
$27
$57
$82
How much do components engineer jobs pay per hour?
As of Aug 10, 2026, the average hourly pay for components engineer in Alexandria, VA is $57.40, according to ZipRecruiter salary data. Most workers in this role earn between $46.30 and $66.63 per hour, depending on experience, location, and employer.
What are some common challenges components engineers face when sourcing and qualifying new parts?
Components Engineers often encounter challenges such as long lead times, part obsolescence, and ensuring compliance with industry standards. They must carefully evaluate suppliers' reliability and the technical specifications of new components to prevent compatibility or quality issues down the line. Additionally, staying updated on evolving regulations and coordinating with design, procurement, and manufacturing teams are essential to avoid costly delays and ensure smooth integration of components.
What are the key skills and qualifications needed to thrive as a components engineer, and why are they important?
To thrive as a Components Engineer, you need a strong understanding of electronic components, engineering principles, and materials science, typically supported by a degree in electrical or electronics engineering. Familiarity with component selection tools, CAD software, and industry standards like IPC or RoHS compliance is essential. Attention to detail, problem-solving abilities, and effective communication help you collaborate with design teams and suppliers. These skills ensure the reliability, compliance, and efficiency of products in fast-evolving technology markets.
What is a components engineer?
Components Engineers are professionals who specialize in selecting, evaluating, and managing the parts or components used in manufacturing products, especially in industries like electronics, automotive, and aerospace. They ensure that each component meets technical, safety, and regulatory standards, and work closely with design, procurement, and quality teams. Their responsibilities include researching new parts, maintaining component databases, and resolving issues related to part obsolescence or supply chain disruptions. By optimizing component selection, they help improve product performance, reliability, and cost-effectiveness.
What does a components engineer do?
A components engineer oversees the proper selection of components for an electrical or mechanical assembly, or in the design of a new piece of machinery. As a components engineer, your responsibilities include testing and installing these components to ensure they are of the highest quality before utilizing them in a project. Other duties include identifying the best suppliers for each component and maintaining a library of parts for each project or equipment. A components engineer can work in a variety of industries.
What is the difference between Components Engineer vs Electrical Engineer?
| Aspect | Components Engineer | Electrical Engineer |
|---|---|---|
| Required Credentials | Bachelor's in Electrical, Electronics, or related field; certifications like IPC or IPC-A-610 | Bachelor's in Electrical Engineering; Professional Engineer (PE) license often preferred |
| Work Environment | Design, testing, and selection of electronic components; collaboration with manufacturing | Design, analyze, and develop electrical systems; testing and troubleshooting |
| Employer & Industry Usage | Electronics manufacturing, aerospace, automotive, consumer electronics | Power systems, telecommunications, automation, electronics |
Components Engineers focus on selecting, testing, and ensuring the quality of electronic components used in products, while Electrical Engineers design and develop electrical systems and circuits. Both roles require similar educational backgrounds and certifications, but their daily tasks and industry applications differ.
More about Components Engineer jobs
What are popular job titles related to Components Engineer jobs in Alexandria, VA? For Components Engineer jobs in Alexandria, VA, the most frequently searched job titles are:
What job categories do people searching Components Engineer jobs in Alexandria, VA look for? The top searched job categories for Components Engineer jobs in Alexandria, VA are:
What cities near Alexandria, VA are hiring for Components Engineer jobs? Cities near Alexandria, VA with the most Components Engineer job openings:
Booz Allen Hamilton rating
8.9
Based on 49 frontline employees who took The Breakroom Quiz
9th of 72 rated business consultants
Job description
Job Summary:
Booz Allen Hamilton is seeking a highly skilled Agentic AI Engineer to join their team focused on building autonomous, goal-oriented AI systems. The role involves designing intelligent agent architectures, developing multi-agent systems, and fine-tuning small language models for edge deployment.
Responsibilities:
• Design and implement intelligent agent architectures that can reason, plan, and take actions using LangChain, LangGraph, and AutoGen.
• Develop and deploy multi-agent systems using Model Context Protocol (MCP) and Agent-to-Agent (A2A) protocols to facilitate communication, tool usage, and collaborative task solving.
• Build advanced RAG pipelines integrating unstructured data with Knowledge Graphs (KG) to enhance reasoning accuracy and context retention.
• Fine-tune SLMs for specific domains and optimize them for edge device performance, including ONNX, GGML, or Ollama.
• Develop evaluation frameworks to test agent reliability, safety, and performance, moving from prototype to production, including ReAct loops and human-in-the-loop.
Qualifications:
Required:
• 4+ years of experience in software development
• 3+ years of experience as an ML engineer building production-grade ML solutions using tools such as Docker or Kubernetes, including, GenAI, LLMs, DL, RL, AI agents, agentic workflows, or complex automation frameworks
• 3+ years of experience with LangChain, LangGraph, AutoGen, PydanticAI, CrewAI, or LlamaIndex
• 3+ years of experience working in cloud environments, including AWS and Azure and evaluating architectural tradeoffs and designing robust service-based software applications for scalable use
• Experience with MCP for tool integration and A2A for agent-to-agent collaboration and with RAG architecture and KG, including Neo4j or NebulaGraph
• Experience fine-tuning LLMs or SLMs using Hugging Face, PEFT, or LoRA, evaluating LLM performance and behavior through evaluations, and building observation layers for stakeholders, including Grafana, Langfuse, LangSmith, or Phoenix
• Knowledge of modern software design patterns, including microservice design or edge computing
• Ability to adapt in a rapidly changing environment and navigate ambiguity
• TS/SCI clearance with a polygraph
• Bachelor’s degree
Preferred:
• Experience deploying agentic systems in a production environment
• Experience deploying agents on edge devices such as Android or local models
• Experience integrating coding agents such as Cursor or Windsurf into an efficient development pipeline with measured results
• Experience with programming, including ML frameworks such as TensorFlow, PyTorch, llama.cpp, and vLLM
• Experience engineering AI capabilities in on‑premise or multi‑classification environments
• Possession of excellent verbal and written communication skills for client engagements, client-facing project work, and business development
• Master’s degree in a CS or AI field preferred; Doctorate degree in CS or Statistics a plus
Company:
Booz Allen Hamilton is a consulting firm that specializes in analytics, technology, and engineering. Founded in 1914, the company is headquartered in Mclean, USA, with a team of 10001+ employees. The company is currently Late Stage.
Booz Allen Hamilton is seeking a highly skilled Agentic AI Engineer to join their team focused on building autonomous, goal-oriented AI systems. The role involves designing intelligent agent architectures, developing multi-agent systems, and fine-tuning small language models for edge deployment.
Responsibilities:
• Design and implement intelligent agent architectures that can reason, plan, and take actions using LangChain, LangGraph, and AutoGen.
• Develop and deploy multi-agent systems using Model Context Protocol (MCP) and Agent-to-Agent (A2A) protocols to facilitate communication, tool usage, and collaborative task solving.
• Build advanced RAG pipelines integrating unstructured data with Knowledge Graphs (KG) to enhance reasoning accuracy and context retention.
• Fine-tune SLMs for specific domains and optimize them for edge device performance, including ONNX, GGML, or Ollama.
• Develop evaluation frameworks to test agent reliability, safety, and performance, moving from prototype to production, including ReAct loops and human-in-the-loop.
Qualifications:
Required:
• 4+ years of experience in software development
• 3+ years of experience as an ML engineer building production-grade ML solutions using tools such as Docker or Kubernetes, including, GenAI, LLMs, DL, RL, AI agents, agentic workflows, or complex automation frameworks
• 3+ years of experience with LangChain, LangGraph, AutoGen, PydanticAI, CrewAI, or LlamaIndex
• 3+ years of experience working in cloud environments, including AWS and Azure and evaluating architectural tradeoffs and designing robust service-based software applications for scalable use
• Experience with MCP for tool integration and A2A for agent-to-agent collaboration and with RAG architecture and KG, including Neo4j or NebulaGraph
• Experience fine-tuning LLMs or SLMs using Hugging Face, PEFT, or LoRA, evaluating LLM performance and behavior through evaluations, and building observation layers for stakeholders, including Grafana, Langfuse, LangSmith, or Phoenix
• Knowledge of modern software design patterns, including microservice design or edge computing
• Ability to adapt in a rapidly changing environment and navigate ambiguity
• TS/SCI clearance with a polygraph
• Bachelor’s degree
Preferred:
• Experience deploying agentic systems in a production environment
• Experience deploying agents on edge devices such as Android or local models
• Experience integrating coding agents such as Cursor or Windsurf into an efficient development pipeline with measured results
• Experience with programming, including ML frameworks such as TensorFlow, PyTorch, llama.cpp, and vLLM
• Experience engineering AI capabilities in on‑premise or multi‑classification environments
• Possession of excellent verbal and written communication skills for client engagements, client-facing project work, and business development
• Master’s degree in a CS or AI field preferred; Doctorate degree in CS or Statistics a plus
Company:
Booz Allen Hamilton is a consulting firm that specializes in analytics, technology, and engineering. Founded in 1914, the company is headquartered in Mclean, USA, with a team of 10001+ employees. The company is currently Late Stage.
What Booz Allen Hamilton employees say
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Benefits
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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