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Ai Alignment Jobs in Hawaii (NOW HIRING)

SMX

AI Engineer & Integrator

Aiea, HI · On-site

Ensure AI tools are accurate, useful, trusted, and aligned to client requirements. * Translate client operational needs into AI use cases, tool requirements, workflow designs, and adoption plans.

Deloitte

AI Security Engineer Senior Manager

Honolulu, HI · On-site

$113K - $155K/yr

As a Senior Manager in AI Security Engineering, you will define and lead the firm's approach to ... Influence and Align Stakeholders Engage senior leaders across technology, product, risk, and ...

Deloitte

AI Security Engineer Manager

Honolulu, HI · On-site

Contribute to alignment and informed decision-making. Impact This role directly contributes to reducing enterprise risk and strengthening trust in AI systems. Your work will enable secure adoption of ...

Cymertek

AI/ML Engineer

Honolulu, HI · On-site

AI/ML Engineer LOCATION Honolulu, HI 96815 CLEARANCE TS/SCI Full Poly (Please note this position ... Our team will work with you to identify the most recent opportunities that align with your skillset ...

Amentum

Amentum is seeking an AI Modeling Specialist (Senior) to support Combatant Command Operations in ... Ensure models are transparent, explainable, and aligned to mission requirements, including ...

Deloitte

Lead Applied AI Engineer II

Honolulu, HI · On-site

$101K - $133K/yr

Lead Applied AI Engineer II Role Overview: As a Lead Applied AI Engineer II , you will actively ... Align diverse perspectives and drive consensus to create feasible solutions. The team: US Deloitte ...

Raft

Lead AI/ML Software Engineer

Honolulu, HI · On-site

As Lead AI/ML Software Engineer for [R]AIMS, you will serve as a senior technical leader ... alignment across engineering and product stakeholders * Lead major technical epics from conception ...

Amentum

$135K - $160K/yr

Amentum is seeking a Strategic Assessment Analyst (AI & Data Systems) to provide operational ... alignment with market data.) This position includes a competitive benefits package. For more ...

Instacart

The Logistics AI group is responsible for the intelligence and execution behind Instacart ... Actively engage with diverse stakeholders to ensure that solutions are well-integrated and aligned ...

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Ai Alignment information

What is AI alignment?

AI alignment refers to the process of ensuring that artificial intelligence systems act in ways that are aligned with human values, intentions, and ethical standards. This field focuses on designing AI models that not only achieve their objectives but also do so safely and beneficially for humanity. As AI systems become more advanced, alignment becomes increasingly important to prevent unintended consequences or harmful behaviors. Researchers in AI alignment work on technical solutions, such as value learning and interpretability, as well as broader ethical and policy considerations.

What is the difference between Ai Alignment vs Data Scientist?

AspectAi AlignmentData Scientist
Required CredentialsAdvanced degrees in AI, Machine Learning, or related fieldsDegree in Data Science, Statistics, Computer Science, or related fields
Work EnvironmentResearch labs, AI development companies, tech firmsTech companies, finance, healthcare, consulting firms
Industry UsageFocuses on ensuring AI systems behave as intendedAnalyzes data to extract insights and build predictive models

While both roles involve advanced technical skills, Ai Alignment specialists focus on aligning AI systems with human values and safety, whereas Data Scientists analyze data to inform business decisions. The roles often overlap in AI research environments but serve different primary objectives.

What is a $900000 AI job?

A $900,000 AI job typically refers to a high-level position in artificial intelligence, such as AI research director, senior machine learning engineer, or AI product executive, often requiring advanced skills in programming, data analysis, and deep learning. These roles usually involve leadership, strategic planning, and expertise in tools like TensorFlow or PyTorch, with compensation reflecting experience and impact. Such salaries are common in top tech companies or specialized AI firms for senior or executive-level professionals.

How to become an AI alignment researcher?

To become an AI alignment researcher, typically a strong background in computer science, machine learning, or related fields is required, often including advanced degrees such as a master's or Ph.D. in these areas. Developing expertise in AI safety, ethics, and formal verification, along with programming skills in Python and familiarity with AI frameworks, is essential. Gaining research experience through academic projects, internships, or contributing to open-source initiatives can also be valuable for entering this specialized field.

What are some common challenges faced by professionals working in AI alignment roles?

Professionals in AI alignment roles often encounter the challenge of translating complex ethical principles and human values into machine-understandable objectives. Balancing technical constraints with theoretical considerations requires close collaboration with cross-functional teams, including ethicists, engineers, and product managers. Additionally, the rapidly evolving landscape of artificial intelligence demands continuous learning to stay current with new alignment techniques and research findings. Navigating these challenges can be intellectually stimulating and offers significant opportunities for interdisciplinary growth.

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

To thrive as an AI Alignment Specialist, you need a strong background in computer science, mathematics, and machine learning, often evidenced by an advanced degree in a related field. Familiarity with technical tools such as Python, TensorFlow, PyTorch, and formal verification systems is typically required, along with understanding of AI safety principles. Analytical thinking, ethical reasoning, and effective communication are crucial soft skills for success in this role. These skills ensure that AI systems are developed safely, ethically, and in alignment with human values, which is essential for mitigating risks associated with advanced AI.

Which 3 jobs will survive AI?

AI alignment professionals, software engineers specializing in AI safety, and ethicists focused on AI governance are likely to continue being in demand as AI technology advances. These roles require specialized knowledge, critical thinking, and oversight skills that are difficult to automate. Continuous learning and expertise in AI tools and ethical frameworks are essential for these jobs to remain relevant.

What is an AI alignment?

AI alignment in the context of AI safety and ethics refers to designing and developing artificial intelligence systems so that their behaviors and outcomes align with human values and intentions. AI alignment specialists work to ensure that AI systems act reliably and safely, often using techniques like value specification, interpretability, and robustness testing. This field requires skills in machine learning, ethics, and programming, and is critical for creating beneficial and trustworthy AI systems.
What are popular job titles related to Ai Alignment jobs in Hawaii? For Ai Alignment jobs in Hawaii, the most frequently searched job titles are:
What job categories do people searching Ai Alignment jobs in Hawaii look for? The top searched job categories for Ai Alignment jobs in Hawaii are:
Ai Alignment jobs near you
Infographic showing various Ai Alignment job openings in Hawaii as of July 2026, with employment types broken down into 70% Full Time, 27% Part Time, and 3% Contract. Highlights an 64% Physical, 3% Hybrid, and 33% Remote job distribution.
AI Engineer & Integrator

AI Engineer & Integrator

SMX

Aiea, HI • On-site

Other

This job post has expired today. Applications are no longer accepted.

Job description

SMX is seeking an AI Engineer and Integrator to support government client at Camp Smith. The AI Integrator serves as the client-facing AI integration lead and secondary AI Engineer. This role sits close to the client and is responsible for ensuring that AI tools, processes, applications, and systems are accurate, adopted, operationally useful, and aligned with client needs.
The AI Integrator leads the Knowledge Systems Integrator team's development efforts for new tools, processes, and applications. This role works directly with the client to identify where AI can improve operational planning, dynamic data analysis, business processes, and decision-making workflows.

This position should also be classified as an AI Engineer because it requires technical AI understanding, tool development leadership, AI workflow design, and the ability to work with the primary AI Engineer on AI-enabled systems. The difference is that the AI Integrator is more client-facing and adoption-focused, while the AI Engineer is more technically focused on system development.

This position requires a current DoD Top Secret SCI security clearance which requires US citizenship for work on DoD contracts.

This position is full-time onsite in Aiea, Hawaii.

Application Deadline:  July 20, 2026

Essential Duties & Responsibilities

The AI Integrator leads the client-facing integration of AI tools, systems, processes, and applications into operational and business workflows.

  • Serve as the client-facing lead for AI integration, adoption, and workflow alignment.
  • Lead the Knowledge Systems Integrator team's development of new tools, processes, workflows, and applications.
  • Work with the AI Engineer to design and refine AI-integrated systems.
  • Ensure AI tools are accurate, useful, trusted, and aligned to client requirements.
  • Translate client operational needs into AI use cases, tool requirements, workflow designs, and adoption plans.
  • Integrate AI capabilities into military joint planning processes.
  • Support AI integration into dynamic environments that include large data streams, operational information, and changing mission variables.
  • Identify business processes that can be improved through AI, automation, and decision-support tools.
  • Develop user-facing AI workflows, prompt guides, playbooks, and SOPs.
  • Define human-in-the-loop review points, approval chains, validation steps, and escalation processes.
  • Lead user adoption, training, feedback collection, and continuous improvement.
  • Coordinate with the Knowledge Systems Integrator to ensure knowledge repositories and collaboration environments support AI workflows.
  • Coordinate with the AI Engineer to ensure AI capabilities are technically sound and operationally relevant.
  • Measure whether AI-enabled tools improve workflow performance, decision speed, knowledge reuse, and operational outcomes.
    Knowledge Areas

The AI Integrator should be familiar with or able to support:

  • Military joint planning
  • Operational workflows
  • AI-enabled decision support
  • Maven Smart System
  • Knowledge Management systems
  • Dynamic data environments
  • Business process automation
  • AI adoption and training
  • Tool development leadership
  • Human-machine teaming
  • AI governance and review processes

Required Skills & Experience 

  • Bachelor's degree in computer science, AI, Data Science, Information Systems, Systems Engineering, Military Studies, Intelligence Studies, Operations Research, Cybersecurity, or related field.
  • 6-10 years of relevant experience; additional experience may substitute for degree.
  • Military operational planning experience strongly preferred.
  • Experience leading AI integration, tool development, process improvement, or mission technology efforts.
  • Strong understanding of the Military Joint Planning Process and operational decision-making.
  • Experience integrating AI into joint planning, dynamic data environments, big data streams, and business processes.
  • Experience with Maven Smart System, AI agents, RAG, prompt workflows, human-in-the-loop review, and AI-enabled decision support.
  • Ability to lead the KSI team's development of new tools, processes, applications, and AI workflows.
  • Ability to serve as the client-facing lead for AI adoption, validation, training, and workflow integration.
  • Must meet applicable DoD 8140 / DCWF requirements.
  • IAM Level II or IAT Level II equivalent certification preferred; IAM Level III, IAT Level III, or IASAE-equivalent preferred for senior lead roles.
  • AWS certifications preferred: AWS Cloud Practitioner, Solutions Architect - Associate, Machine Learning Engineer - Associate, Machine Learning - Specialty, Security - Specialty, Developer - Associate, or Solutions Architect - Professional.
  • Technical fluency in Python, SQL, JavaScript/TypeScript, APIs, cloud AI tools, databases, dashboards, automation, and low-code/no-code platforms.
  • Leadership experience managing technical teams, development priorities, client working groups, AI adoption, and stakeholder communication required.

Desired Skills & Experience 

  • Experience with Maven Smart System or Palantir-related platforms.
  • Experience as an AI Engineer, AI Integrator, or technical product lead.
  • Experience supporting military staffs, planning teams, operations centers, or intelligence workflows.
  • Experience integrating AI into joint planning or operational decision cycles.
  • Experience leading low-code/no-code tool development.
  • Experience with cloud AI services, data platforms, or automation tools.
  • Experience developing AI adoption plans, prompt playbooks, and AI SOPs.

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