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Ai Agent Engineer Jobs in Hawaii (NOW HIRING)

SMX

AI Engineer

Aiea, HI

The AI Engineer designs, develops, tests, and improves AI-enabled systems that support client ... Support AI agent workflows that retrieve information, summarize content, call tools, generate draft ...

SMX

AI Engineer

Aiea, HI · On-site

The AI Engineer designs, develops, tests, and improves AI-enabled systems that support client ... Support AI agent workflows that retrieve information, summarize content, call tools, generate draft ...

Booz Allen Hamilton

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 ... Experience with agent frameworks, interoperability standards, and multi-agent patterns such as MCP ...

Vannevar

Mission Lead (Clearance Required)

Honolulu, HI · On-site

$150K - $170K/yr

Our agentic AI is purpose-built to compete with China-from cross-Strait conflict to gray zone ... Vannevar is a small agile team combining world-class engineers with veteran strategists who bring ...

Charles River Analytics

DoD Simulation Analyst

Honolulu, HI · On-site

$140K - $225K/yr

Our team of technological entrepreneurs works together to push at the forefront of enhanced AI ... Proficiency in scripting or programming languages such as Python, Java, C++, C#, Lua, SQL, or other ...

All JobsAi Agent Engineer JobsAi Agent Engineer Jobs in Hawaii

Ai Agent Engineer information

See Hawaii salary details

$26

$55

$79

How much do ai agent engineer jobs pay per hour?

As of Aug 31, 2026, the average hourly pay for ai agent engineer in Hawaii is $55.72, according to ZipRecruiter salary data. Most workers in this role earn between $44.95 and $64.66 per hour, depending on experience, location, and employer.

What is an AI Agent engineer?

An AI Agent Engineer designs, develops, and optimizes autonomous AI agents that can perceive, reason, and act within digital or real-world environments. They work with machine learning, reinforcement learning, and natural language processing to build intelligent systems that interact dynamically with users and other agents. These engineers often integrate AI models with APIs, databases, and software applications to create functional and scalable AI-driven solutions. Their role bridges software engineering and artificial intelligence, ensuring agents operate efficiently and adaptively in various use cases.

What are the key skills and qualifications needed to thrive as an AI Agent engineer?

To excel as an AI Agent Engineer, you need a robust background in computer science, machine learning, and software engineering, often supported by a degree in a STEM field. Familiarity with programming languages like Python, relevant AI frameworks (such as TensorFlow or PyTorch), and experience with cloud platforms are typically expected, along with certifications in AI or data science being advantageous. Strong problem-solving abilities, effective communication, and teamwork skills are essential soft skills for collaborating on complex AI projects. These competencies ensure you can design, implement, and refine intelligent agents that meet real-world challenges and deliver business value.

What are some typical challenges faced by AI Agent engineers in their day-to-day work?

AI Agent Engineers often encounter challenges such as optimizing agent performance for real-time environments, integrating new algorithms without disrupting existing systems, and ensuring their models can handle diverse and dynamic real-world data. Troubleshooting unexpected behaviors or edge cases and keeping up with rapidly evolving research in artificial intelligence can also be demanding. Working closely with product managers, data scientists, and software developers helps address these challenges, making collaboration and adaptability key components of daily tasks. Overcoming these issues offers valuable learning opportunities and contributes to the growth of robust, innovative AI solutions.

What job categories do people searching Ai Agent Engineer jobs in Hawaii look for?

The top searched job categories for Ai Agent Engineer jobs in Hawaii are:

What cities in Hawaii are hiring for Ai Agent Engineer jobs?

Cities in Hawaii with the most Ai Agent Engineer job openings:

Ai Agent Engineer jobs near you
Infographic showing various Ai Agent Engineer job openings in Hawaii as of August 2026, with employment types broken down into 74% Full Time, 23% Part Time, and 3% Contract. Highlights an 63% Physical, 4% Hybrid, and 33% Remote job distribution, with an average salary of $115,898 per year, or $55.7 per hour.

AI Infrastructure & Agent Systems Architect

Hawksbill

Honolulu, HI • On-site

$65.25 - $83.50/hr

Other

Posted yesterday

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Job description

Company Description Hawksbill is dedicated to harnessing Artificial Intelligence to create a more cyber secure and ethically driven future that prioritizes people. The organization focuses on building AI solutions that strengthen digital defenses while aligning with clear ethical standards. Team members collaborate across disciplines to ensure that technology decisions are transparent, responsible, and human-centered. Hawksbill offers opportunities to work on cutting-edge AI initiatives that have direct impact on cybersecurity and digital trust.

Role Description The AI Infrastructure & Agent Systems Architect is a full-time, on-site role based in Honolulu, HI (remote option available), responsible for designing, implementing, and maintaining robust AI infrastructure and agent-based systems. Day-to-day activities include designing and developing scalable compute and storage environments for AI workloads, defining system and integration architectures for agentic AI systems, and collaborating with engineering and data teams to ensure reliable deployment pipelines. The architect will continuously evaluate and optimize performance, security, and cost of AI platforms, document architectural standards and best practices, and guide technical decision-making for new AI initiatives. The role also involves hands-on prototyping, troubleshooting complex infrastructure issues, and working closely with stakeholders to align technical solutions with Hawksbill’s security and ethical AI objectives.

Qualifications

  • Experience designing and operating AI/ML infrastructure, including cloud platforms (e.g., AWS, Azure, GCP), containerization (e.g., Docker), and orchestration tools (e.g., Kubernetes).
  • Background in distributed systems, microservices architectures, and high-availability, scalable system design.
  • Proficiency with infrastructure-as-code and automation tools (e.g., CI/CD pipelines) to ensure reproducible and reliable deployments.
  • Understanding of AI agent frameworks, orchestration of multi-agent systems, and integration of LLMs or other AI models into production services.
  • Strong knowledge of cybersecurity principles, secure architecture design, identity and access management, and data protection practices.
  • Demonstrated ability to collaborate with software engineers, data scientists, and product teams, and to communicate complex technical concepts clearly.
  • Bachelor’s or advanced degree in Computer Science, Engineering, Information Systems, or a related field, or equivalent practical experience.
  • Familiarity with ethical AI practices, model governance, and compliance considerations for AI systems is a plus.

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