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Ai Reliability Engineer Jobs in Hawaii (NOW HIRING)

Senior AI Software Engineer

Honolulu, HI · On-site

$121K - $159K/yr

Optimize AI applications for latency, reliability, scalability, and operational cost through experimentation, benchmarking, and continuous improvement. * Apply asynchronous programming and event ...

Agentic AI and Data Engineer

Honolulu, HI · On-site +1

$113K - $135K/yr

Agentic AI and Data Engineer The Opportunity: As an experienced engineer, you know how to design ... Optimizemodels and workflows for cost, latency, reliability, and scalability, using systematic ...

Agentic AI and Data Engineer

Honolulu, HI · On-site

$113K - $136K/yr

R0234847 Agentic AI and Data Engineer The Opportunity: As an experienced engineer, you know how to ... Optimize models and workflows for cost, latency, reliability, and scalability, using systematic ...

Cloud Engineer

Honolulu, HI · On-site

$55 - $73.75/hr

SIMILAR CAREER TITLES Cloud Architect, Cloud Administrator, DevOps Engineer, Site Reliability ... Familiarity with AI/ML integrations * Advanced data storage solutions expertise * Strong ...

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Showing results 1-20

Ai Reliability Engineer information

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

To thrive as an AI Reliability Engineer, you need a solid background in computer science or engineering, expertise in AI/ML concepts, and experience with software testing and reliability methodologies. Familiarity with tools like TensorFlow, PyTorch, CI/CD pipelines, and reliability testing frameworks, along with certifications in cloud platforms (e.g., AWS Certified Machine Learning), is highly valuable. Analytical thinking, problem-solving abilities, and strong collaboration skills set top performers apart in this role. These skills ensure robust, dependable AI systems that meet performance standards and maintain trust in critical applications.

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

AspectAi Reliability EngineerData Scientist
Required CredentialsBachelor's or master's in CS, engineering, or related; certifications in AI/MLBachelor's or master's in CS, statistics, or related; certifications in data analysis or ML
Work EnvironmentTech companies, AI-focused teams, engineering departmentsResearch labs, tech firms, analytics teams
Employer & Industry UsageAI product development, machine learning systems, reliability testingData analysis, predictive modeling, business insights

While both roles involve AI and ML, Ai Reliability Engineers focus on ensuring AI system robustness and uptime, whereas Data Scientists analyze data to generate insights and models. The roles often collaborate but serve different primary functions within AI projects.

What is an AI reliability engineer?

AI Reliability Engineers are professionals responsible for ensuring that artificial intelligence systems function reliably, safely, and effectively over time. They work on monitoring AI models in production, identifying and mitigating potential failures, and improving the robustness of AI systems. Their tasks often include testing, validation, performance monitoring, and implementing best practices for maintaining AI infrastructure. By focusing on reliability, they help organizations deploy AI solutions that are dependable and trustworthy in real-world environments.

What are some common challenges AI reliability engineers face when ensuring model robustness in production environments?

Ai Reliability Engineers often encounter challenges such as monitoring AI model performance for drift or unexpected behavior, managing data quality issues, and implementing automated alerting systems for anomalies. In production, it's crucial to ensure that AI models operate consistently and remain reliable under varying conditions and data inputs. Collaborating closely with data scientists, software engineers, and DevOps teams is essential to address these challenges and to continuously improve model reliability and uptime.
What are popular job titles related to Ai Reliability Engineer jobs in Hawaii? For Ai Reliability Engineer jobs in Hawaii, the most frequently searched job titles are:
What job categories do people searching Ai Reliability Engineer jobs in Hawaii look for? The top searched job categories for Ai Reliability Engineer jobs in Hawaii are:
What cities in Hawaii are hiring for Ai Reliability Engineer jobs? Cities in Hawaii with the most Ai Reliability Engineer job openings:

Senior AI Software Engineer

Booz Allen Hamilton

Honolulu, HI • On-site

$121K - $159K/yr

Other

Medical, Life, Retirement, PTO

Posted 21 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 72 rated business consultants


Job description

Job Number: R0244309
AI Software Engineer, Senior
The Opportunity:
As an experience d sof tware engineer, you know how to design, develop , and deliver production AI applications that demonstrate the practical value of generative AI, large language models ( LLMs ) , and autonomous workflows. You combine strong sof tware engineering fundamentals with modern AI develop ment practices to build reliable, scalable, and secure systems that solve real-world problems.
In this role, you'll design AI applications that leverage prompting, retrieval-augmented generation ( RAG ) , agentic workflows, evaluation pipelines, and human-in-the-loop interactions to deliver measurable mission impact. You'll build modular, reusable AI capabilities that integrate multiple model providers and external tools while optimizing for performance, cost, observability, and safety.
You'll rapidly prototype and iterate using AI-assisted develop ment tools, applying eval-driven develop ment and continuous experimentation to validate solutions before deploying them into production.
Working alongside data engineers, data scientists, solution architects, and product owners, you'll help define the architecture and engineering practices behind mission-critical AI applications while collaborating with a multidisciplinary team to deliver impactful mission solutions.
What You'll Do:
  • Design and develop production AI applications that integrate foundation models, retrieval systems, external tools, and enterprise data sources.
  • Architect modular and reusable AI components for prompting, retrieval, orchestration, tool execution, memory, and evaluation.
  • Build AI applications that leverage structured outputs, embeddings, RAG, long-context reasoning, and agentic workflows where appropriate.
  • Develop data pipelines for ingesting, transforming, indexing, and refreshing structured and unstructured data used by AI applications.
  • Implement evaluation frameworks to measure correctness, robustness, safety, and mission outcomes using both automated and human evaluation techniques.
  • Optimize AI applications for latency, reliability, scalability, and operational cost through experimentation, benchmarking, and continuous improvement.
  • Apply asynchronous programming and event-driven design patterns to support long-running workflows and distributed AI applications.
  • Incorporate observability, monitoring, guardrails, access controls, and responsible AI practices throughout the application lifecycle.
  • Deploy AI services securely on AWS or equivalent cloud platforms using Docker, Kubernetes, serverless, or other cloud-native deployment patterns.
  • Apply modern sof tware engineering practices, including automated testing, CI / CD, prompt and workflow versioning, and safe rollout of AI updates.
  • Leverage AI-assisted develop ment tools to accelerate implementation while maintaining engineering rigor, maintainability, and code quality.
  • Collaborate with clients and cross-functional teams to identify high-value AI opportunities, rapidly prototype solutions, and transition successful concepts into production.
  • Present technical solutions to both technical and non-technical stakeholders.

Join us. The world can't wait.
You Have:
  • 3+ years of experience with sof tware engineering in a professional work environment
  • 2+ years of experience develop ing AI or machine learning solutions in a professional environment
  • Experience building production AI applications using programming languages such as Python
  • Experience designing and implementing generative AI applications using large language models
  • Experience building retrieval-augmented generation ( RAG ) solutions and integrating AI systems with enterprise data
  • Experience with AI orchestration frameworks such as LangChain
  • Experience develop ing AI applications that interact with external tools, APIs, or enterprise systems, and evaluating and improving AI application quality through testing, experimentation, or benchmarking
  • Experience deploying cloud-native applications using cloud platforms such as AWS
  • Secret clearance
  • Bachelor's degree in Computer Science, Engineering, or a technology field

Nice If You Have:
  • Experience building AI applications that incorporate autonomous or agentic workflows
  • Experience with multimodal AI applications involving text, images, audio, or documents
  • Experience designing AI evaluation, observability, or safety frameworks
  • Experience deploying portable, edge, or offline-capable AI applications
  • Experience develop ing user interfaces that enable effective interaction with AI applications
  • Experience delivering technical solutions in client-facing environments
  • Experience using AI-assisted sof tware develop ment tools to improve engineering productivity
  • Master's degree in Computer Science, AI, or a related technical field

Clearance:
Applicants selected will be subject to a security investigation and may need to meet eligibility requirements for access to classified information ; Secret clearance 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 $86,900.00 to $198,000.00 (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