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Part Time Amazon Civil Engineering Jobs in Washington

Booz Allen Hamilton, Inc.

AI Engineer

Mclean, VA · On-site

$99K - $225K/yr

Experience with event-driven architectures and messaging technologies such as Amazon SQS, Kafka ... Full-time and part-time employees working at least 20 hours a week on a regular basis are eligible ...

BOOZ, ALLEN & HAMILTON, INC.

AI Engineer

Washington, DC · Hybrid

$225K/yr

Experience with event-driven architectures and messaging technologies such as Amazon SQS, Kafka ... Full-time and part-time employees working at least 20 hours a week on a regular basis are eligible ...

Bechtel

Senior Structural Engineer

Reston, VA · On-site

$140K - $203K/yr

Telework Type: Part-Time Telework * Work Location: Reston, VA * Only applicable to Reston : Salary ... Develops conceptual designs for Civil/Structural engineering projects or projects having ...

Bechtel

Senior Structural Engineer

Reston, VA · On-site

$140K - $203K/yr

Telework Type: Part-Time Telework * Work Location: Reston, VA * Only applicable to Reston : Salary ... Develops conceptual designs for Civil/Structural engineering projects or projects ...

Bechtel

Earthquake Engineering Specialist

Reston, VA · On-site

None * Telework Type: Part-Time Telework * Work Location: Reston, VA * Salary Range: $ 123,400 ... Prefer master's degree in Civil Engineering, Structural Engineering, Earthquake Engineering, or ...

Bechtel

Earthquake Engineering Specialist

Reston, VA · On-site

None * Telework Type: Part-Time Telework * Work Location: Reston, VA * Salary Range: $ 123,400 ... Prefer master's degree in Civil Engineering, Structural Engineering, Earthquake Engineering, or ...

TRC Companies, Inc.

Distribution Engineer IV

Lanham, MD · On-site

$60 - $62/hr

Qualifications * Bachelor's degree in civil/Structural Engineering, Electrical Engineering ... Paid time off contingent upon full time or part time status and level of seniority (ranging from 15 ...

Booz Allen Hamilton, Inc.

Geologist

Washington, DC · On-site +1

$77K - $176K/yr

Master's degree in an Engineering field such as Chemical Engineering, Civil Engineering, Industrial ... Full-time and part-time employees working at least 20 hours a week on a regular basis are eligible ...

Booz Allen Hamilton, Inc.

Data Engineer

Chantilly, VA · On-site +1

$77K - $176K/yr

Experience with data engineering projects supporting data science, AI/ML implementations, and ... Experience with designing, developing, deploying, or testing in Amazon Web Services (AWS)

Booz Allen Hamilton, Inc.

Platform Engineer

Mclean, VA · On-site

$62K - $141K/yr

Knowledge of architecting and deploying applications on Amazon Web Services (AWS) or Microsoft ... Full-time and part-time employees working at least 20 hours a week on a regular basis are eligible ...

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All JobsAmazon Civil Engineering JobsPart Time Amazon Civil Engineering JobsPart Time Amazon Civil Engineering Jobs in Washington

Part Time Amazon Civil Engineering information

What is the difference between Part Time Amazon Civil Engineering vs Part Time Amazon Construction Management?

AspectPart Time Amazon Civil EngineeringPart Time Amazon Construction Management
Required CredentialsEngineering degree or related certificationConstruction management certification or related experience
Work EnvironmentDesign offices, site inspections, planningConstruction sites, project coordination, site supervision
Employer & Industry UsageAmazon infrastructure projects, civil engineering tasksAmazon building projects, construction oversight
Common Search & ComparisonYesYes

Part Time Amazon Civil Engineering focuses on designing and planning infrastructure projects, requiring engineering credentials and working mainly in offices and on-site inspections. In contrast, Part Time Amazon Construction Management involves overseeing construction activities, coordinating teams, and managing projects on-site. Both roles are integral to Amazon's infrastructure development but differ in responsibilities and required skills.

Can part time Amazon civil engineers work part-time?

Part time Amazon civil engineers can work part-time schedules if the company offers such positions, which may include flexible hours or reduced workweeks. Availability depends on the specific role, location, and project needs, and candidates should review job postings for part-time opportunities and requirements such as relevant certifications or experience.

What are the most commonly searched types of Amazon Civil Engineering jobs in Washington?

The most popular types of Amazon Civil Engineering jobs in Washington are:

What cities in Washington are hiring for Part Time Amazon Civil Engineering jobs?

Cities in Washington with the most Part Time Amazon Civil Engineering job openings:

Part Time Amazon Civil Engineering jobs near you

AI Engineer

Booz Allen Hamilton, Inc.

Mclean, VA • On-site

$99K - $225K/yr

Full-time, Part-time

Medical, Life, Retirement, PTO

Re-posted 10 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

9th of 72 rated business consultants

Job description


Remote Work:
Hybrid
Job Number:
R0246911
Location:
Washington,DC,US
Share job via:
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Additional Locations:
  • McLean, Virginia, USA

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, metadata 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 OpenTelemetry, Datadog, or CloudWatch, and metrics 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

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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

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