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Ai Integration Engineer Jobs in Washington (NOW HIRING)

AI Integration Engineer The Opportunity: As an AI Engineer, you will integrate AI-enabled capabilities into existing software systems by connecting models, inference endpoints, and orchestration ...

AI Integration Engineer

Washington, DC

$117K - $158K/yr

As an AI Integration Engineer at Citian, you'll lead efforts incorporating AI into our products, bridging civil engineering domain knowledge with practical AI implementation. You will work alongside ...

AI Integration Engineer

Washington, DC · On-site

$117K - $158K/yr

As an AI Integration Engineer, you will lead efforts incorporating AI into products, bridging civil engineering knowledge with practical AI implementation, while collaborating with cross-functional ...

AI Integration Engineer

Washington, DC · On-site

$117K - $158K/yr

As an AI Integration Engineer at Citian, you'll lead efforts incorporating AI into our products, bridging civil engineering domain knowledge with practical AI implementation. You will work alongside ...

AI Integration Engineer

Washington, DC · On-site

$117K - $158K/yr

As an AI Integration Engineer at Citian, you'll lead efforts incorporating AI into our products, bridging civil engineering domain knowledge with practical AI implementation. You will work alongside ...

Sr. AI Integration Engineer

Ashburn, VA · On-site

$106K - $143K/yr

The Senior AI Integration Engineer plays a central role in building, integrating, deploying, and supporting AI-driven workflows across Lightedge's core operational and business systems. This position ...

Sr. AI Integration Engineer

Ashburn, VA · On-site

$106K - $143K/yr

The Senior AI Integration Engineer plays a central role in building, integrating, deploying, and supporting AI-driven workflows across Lightedge's core operational and business systems. This position ...

Lead AI Integration Engineer

Herndon, VA · On-site

$105K - $138K/yr

Led AI engineering integration efforts for Enterprise Mind, partnering closely with Sponsor stakeholders, AWS teams, and cross-functional engineering groups to design, integrate, and operationalize ...

Lead AI Integration Engineer

Herndon, VA · On-site

$105K - $138K/yr

Led AI engineering integration efforts for Enterprise Mind, partnering closely with Sponsor stakeholders, AWS teams, and cross-functional engineering groups to design, integrate, and operationalize ...

Our owned and operated facilities, integrated DR solutions, and premium compliant cloud choices ... intelligence (AI) tools to support parts of the hiring process, such as reviewing applications ...

The AI Integration Specialist is a pivotal role bridging the gap between cutting-edge AI/ML ... Collaborate with software engineers and DevOps teams to establish robust CI/CD pipelines for AI/ML ...

AI Process Integration Engineer

Mclean, VA · On-site

$114K/yr

Responsibilities Peraton is seeking an AI Process Integration Engineer . This position will sit at the intersection of artificial intelligence deployment and mission workflow optimization ...

AI Process Integration Engineer

Mclean, VA · On-site

$114K/yr

Responsibilities Peraton is seeking an AI Process Integration Engineer . This position will sit at the intersection of artificial intelligence deployment and mission workflow optimization ...

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Showing results 1-20

Ai Integration Engineer information

See Washington salary details

$50.4K

$140.8K

$196.5K

How much do ai integration engineer jobs pay per year?

As of Jul 26, 2026, the average yearly pay for ai integration engineer in Washington is $140,753.00, according to ZipRecruiter salary data. Most workers in this role earn between $117,800.00 and $158,600.00 per year, depending on experience, location, and employer.

What is a $900000 AI job?

A $900,000 AI job typically refers to a high-level position such as an AI executive, senior machine learning engineer, or AI research director that offers a total compensation package including salary, bonuses, and stock options. These roles usually require advanced skills in AI, deep learning, and data science, along with extensive experience and often involve leadership responsibilities in innovative technology companies.

What are some common challenges faced by AI Integration Engineers when deploying machine learning models into existing business systems?

AI Integration Engineers often encounter challenges such as ensuring compatibility between machine learning models and legacy systems, managing data privacy and security, and optimizing model performance for real-time applications. They must also address issues related to model scalability and monitoring, as well as facilitate smooth collaboration between data science, IT, and business teams. Overcoming these challenges requires strong problem-solving skills, effective communication, and a deep understanding of both AI technologies and enterprise infrastructure.

What does an AI integration engineer do?

An AI integration engineer designs and implements systems that incorporate artificial intelligence into existing software or hardware platforms. They work with machine learning models, APIs, and data pipelines to ensure seamless integration, often using programming languages like Python and tools such as cloud services. Their role involves testing, troubleshooting, and optimizing AI components for reliable performance within broader applications.

What are the key skills and qualifications needed to thrive as an AI Integration Engineer, and why are they important?

To thrive as an AI Integration Engineer, you need a solid background in computer science, programming (Python, Java, or similar), and experience with AI/ML frameworks, often supported by a bachelor's degree in a related field. Familiarity with cloud platforms (such as AWS, Azure, or Google Cloud), API development, and tools like TensorFlow or PyTorch is typically required. Strong problem-solving abilities, collaboration, and clear communication are essential soft skills for bridging technical and business needs. These competencies ensure successful deployment and seamless integration of AI solutions into existing systems, driving innovation and business value.

Are AI engineers highly paid?

AI integration engineers are generally well-paid due to the high demand for expertise in artificial intelligence, machine learning, and data analysis. Salaries vary based on experience, location, and industry, but they tend to be above average compared to many other engineering roles. Advanced skills in programming, neural networks, and cloud platforms can further increase earning potential.

What is the difference between Ai Integration Engineer vs Data Scientist?

AspectAi Integration EngineerData Scientist
Required CredentialsBachelor's in CS, Engineering, or related; certifications in AI/ML toolsBachelor's or higher in CS, Statistics, or related; advanced degrees common
Work EnvironmentDeveloping and deploying AI solutions, integrating AI APIs into applicationsAnalyzing data, building predictive models, interpreting complex datasets
Employer & Industry UsageTech companies, AI service providers, software firmsResearch institutions, tech companies, finance, healthcare

While both roles involve AI, the Ai Integration Engineer focuses on implementing and integrating AI solutions into applications, whereas the Data Scientist analyzes data to develop models and insights. The roles often overlap but differ mainly in their primary focus: deployment versus analysis.

What engineer makes 500,000 a year?

Highly experienced AI Integration Engineers working in senior or specialized roles at large technology companies can earn salaries approaching or exceeding $500,000 annually, especially when including bonuses and stock options. Such compensation typically requires advanced skills in machine learning, software development, and cloud platforms, along with extensive industry experience and a strong track record of successful projects.

What are AI Integration Engineers?

AI Integration Engineers are professionals who specialize in implementing artificial intelligence solutions into existing systems, products, or workflows. They work closely with data scientists, software developers, and business teams to ensure that AI models and technologies are effectively deployed and seamlessly integrated. Their responsibilities often include customizing AI tools, developing APIs, ensuring data compatibility, and monitoring performance post-integration. These engineers play a crucial role in bridging the gap between AI research and practical business applications.
What are popular job titles related to Ai Integration Engineer jobs in Washington? For Ai Integration Engineer jobs in Washington, the most frequently searched job titles are:
What cities in Washington are hiring for Ai Integration Engineer jobs? Cities in Washington with the most Ai Integration Engineer job openings:
Infographic showing various Ai Integration Engineer job openings in Washington as of July 2026, with employment types broken down into 74% Full Time, 22% Part Time, and 4% Contract. Highlights an 71% Physical, 3% Hybrid, and 26% Remote job distribution, with an average salary of $140,753 per year, or $67.7 per hour.
AI Integration Engineer

AI Integration Engineer

Booz Allen Hamilton, Inc.

Annapolis, MD • On-site

$112K - $257K/yr

Full-time, Part-time

Medical, Life, Retirement, PTO

Posted 28 days ago


Booz Allen Hamilton rating

8.8

Company rating: 8.8 out of 10

Based on 48 frontline employees who took The Breakroom Quiz

13th of 73 rated business consultants


Job description


Remote Work:
No
Job Number:
R0244601
Location:
Annapolis Junction,MD,US
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Additional Locations:
  • McLean, Virginia, USA

AI Integration Engineer
The Opportunity:
As an AI Engineer, you will integrate AI-enabled capabilities into existing software systems by connecting models, inference endpoints, and orchestration components to production applications. You will implement AI features using established integration and software engineering patterns, ensuring these capabilities operate reliably, securely, and efficiently within distributed systems. You'll contribute to evaluation and monitoring approaches, refine integration workflows, and collaborate with cross-functional teams to deliver scalable AI functionality. Your work will help bring AI from concept into real-world environments through thoughtful, well-structured engineering.
Join us. The world can't wait.
You Have:
  • 3+ years of experience building and maintaining production software systems in Python
  • Experience integrating external services or APIs into distributed systems
  • Experience implementing inference request flows, including handling latency, token limits, and batching strategies
  • Experience writing integration tests for multi-service environments
  • Experience integrating large language models into production services, including managing inference requests, model responses, and error-handling flows
  • Knowledge of HTTP API design patterns, including authentication mechanisms such as OAuth2, API keys, or JWT
  • Knowledge of containerization and CI/CD pipelines
  • Ability to travel up to 25% of the time
  • TS/SCI clearance with a polygraph
  • Bachelor's degree in CS, Engineering, or Data Science

Nice If You Have:
  • Experience with message queues or event streaming, including Kafka, and SQS or SNS, and patterns for idempotency and handling out-of-order or duplicate events
  • Experience implementing resilience patterns such as retries with backoff, timeouts, and circuit breakers, to ensure reliable system behavior
  • Experience with cloud AI platform tooling such as AWS Bedrock AgentCore, Google Gemini Enterprise Agent Platform, or Microsoft Foundry Agent Service
  • Experience with Docker, Kubernetes, or Infrastructure-as-Code tooling
  • Experience with multi-step agentic workflows or orchestration concepts and how they integrate into existing systems
  • Experience with agent memory concepts such as session-level and persistent state, and how they relate to application logic
  • Experience with orchestration frameworks for AI-enabled systems such as LangGraph, CrewAI, or AutoGen, and supporting data stores such as Redis and Postgres

Clearance:
Applicants selected will be subject to a security investigation and may need to meet eligibility requirements for access to classified information; TS/SCI clearance with polygraph is required.
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 $112,800.00 to $257,000.00 (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