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Part Time Amazon Delivery Jobs in Washington (NOW HIRING)

Booz Allen Hamilton, Inc.

AI Engineer

Mclean, VA · On-site

$99K - $225K/yr

As an AI engineer, you'll design and deliver production-grade AI systems. You'll own RAG pipelines ... Full-time and part-time employees working at least 20 hours a week on a regular basis are eligible ...

Booz Allen Hamilton, Inc.

Solutions Architect

Bethesda, MD · On-site

$67.50 - $88.75/hr

... Amazon Web Services (AWS), Microsoft Azure, or Google Cloud Platform (GCP) * Experience authoring ... Experience modernizing enterprise software delivery in support of digital transformation

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All JobsAmazon Delivery JobsPart Time Amazon Delivery JobsPart Time Amazon Delivery Jobs in Washington

Part Time Amazon Delivery information

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$9

$20

$28

How much do part time amazon delivery jobs pay per hour?

As of Sep 5, 2026, the average hourly pay for part time amazon delivery in Washington is $20.90, according to ZipRecruiter salary data. Most workers in this role earn between $18.22 and $22.88 per hour, depending on experience, location, and employer.

What is a part time Amazon delivery job?

Part Time Amazon Delivery jobs involve delivering packages to customers on behalf of Amazon, typically using your own vehicle or sometimes a company-provided van. These positions offer flexible work schedules, allowing you to select shifts that fit your availability. Responsibilities include picking up packages from Amazon delivery stations, following delivery routes, and ensuring timely and safe delivery to customers' doorsteps. This role requires attention to detail, good time management, and the ability to lift and carry packages. It's a popular choice for those seeking supplemental income or a job with flexible hours.

What are the key skills and qualifications needed to thrive as a part time Amazon delivery driver?

To succeed as a Part Time Amazon Delivery Driver, you generally need a valid driver's license, a clean driving record, and the physical ability to handle packages of varying sizes. Familiarity with GPS navigation systems, Amazon’s delivery app, and basic vehicle maintenance is typically required. Strong time management, reliability, and customer service skills help drivers excel in meeting delivery targets and ensuring customer satisfaction. These skills and qualifications are crucial for efficient, safe, and timely deliveries, which directly impact Amazon's service quality.

What are some common challenges faced by part time Amazon delivery drivers, and how can they be managed?

Part-time Amazon delivery drivers often encounter challenges such as navigating unfamiliar routes, managing tight delivery schedules, and handling packages of varying sizes and weights. To overcome these, drivers can familiarize themselves with their delivery area ahead of time, use navigation apps recommended by Amazon, and organize packages in their vehicle for efficient access. Open communication with dispatch and utilizing Amazon's support resources can also help address unexpected issues during a shift. Staying proactive and adaptable is key to managing the fast-paced nature of the role.

What is the difference between Part Time Amazon Delivery vs Part Time FedEx Delivery Driver?

AspectPart Time Amazon DeliveryPart Time FedEx Delivery Driver
Required CredentialsValid driver's license, background checkValid driver's license, background check
Work EnvironmentResidential and commercial deliveries, warehouse supportResidential and commercial deliveries, warehouse support
Employer & Industry UsageAmazon logistics, e-commerceFedEx logistics, courier services
Common Search & ComparisonPart Time Amazon Delivery vs Part Time FedEx Delivery Driver

Both roles involve delivering packages using a personal vehicle, require a valid driver's license, and operate within logistics and courier industries. The main difference lies in the employer and specific delivery networks—Amazon focuses on e-commerce deliveries, while FedEx handles a broader range of courier services. Candidates should consider their preferred employer and delivery environment when choosing between these roles.

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

The most popular types of Amazon Delivery jobs in Washington are:

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

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

Part Time Amazon Delivery jobs near you
Infographic showing various Part Time Amazon Delivery job openings in Washington as of August 2026, with employment types broken down into 1% As Needed, 66% Full Time, 28% Part Time, and 5% Contract. Highlights an 90% Physical, 2% Hybrid, and 8% Remote job distribution, with an average salary of $43,473 per year, or $20.9 per hour.

AI Engineer-Washington, District of Columbia

BOOZ, ALLEN & HAMILTON, INC.

Fairfax, VA • Hybrid

$99K - $225K/yr

Full-time, Part-time

Medical, Life, Retirement, PTO

Posted 14 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

11th 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

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