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Azure Ai Engineer Jobs in Hawaii (NOW HIRING)

... Engineering, Information Systems, Mathematics, or Business (or equivalent). * Strong experience with cloud platforms and services , including: * Azure (e.g.; Azure AI Studio, Azure Data Services and ...

... Azure OpenAI, Google AI Platform) • Ability to identify bottlenecks and inefficiencies in existing workflows through user research and data analysis • Knowledge of database design and ...

SIMILAR CAREER TITLES Data Scientist, AI Engineer, Deep Learning Engineer, Artificial Intelligence ... Familiarity with cloud-based platforms for machine learning (e.g., AWS, Google Cloud, Azure)

Software Engineer

Honolulu, HI · On-site

$90 - $130/hr

... AI Engineer, Robotics Software Engineer, etc. DEGREE (Level Desired) Bachelor's Degree DEGREE ... Knowledge of cloud platforms (e.g., AWS, Azure) * Familiarity with DevOps practices * Experience ...

... AI Engineer, Robotics Software Engineer, etc. DEGREE (Level Desired) Bachelor's Degree DEGREE ... Knowledge of cloud platforms (e.g., AWS, Azure) * Familiarity with DevOps practices * Experience ...

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Azure Ai Engineer information

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How much do azure ai engineer jobs pay per hour?

As of Sep 2, 2026, the average hourly pay for azure ai 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 Azure AI Engineer?

An Azure AI Engineer is responsible for designing, developing, and deploying AI solutions using Microsoft Azure services. They work with AI models, machine learning, and cognitive services to build intelligent applications. Their role includes data preprocessing, model training, optimization, and integration with cloud-based systems. Azure AI Engineers collaborate with data scientists and developers to enhance AI-driven solutions for business needs. Proficiency in Azure Machine Learning, AI services, and programming languages like Python is essential for the role.

What are the typical daily responsibilities of an Azure AI Engineer?

An Azure AI Engineer typically spends their day designing, building, and deploying AI and machine learning models using Azure's suite of cloud-based tools. Tasks often include data preprocessing, model training and evaluation, integrating AI solutions with existing applications, and optimizing system performance for reliability and scalability. Collaboration is common, with frequent interactions with data scientists, developers, and IT specialists to ensure seamless implementation of AI solutions. This role also involves staying updated with the latest Azure features and industry trends to deliver cutting-edge, efficient solutions for business challenges.

What are the key skills and qualifications needed to thrive in the Azure AI Engineer position, and why are they important?

To thrive as an Azure AI Engineer, you need a strong foundation in artificial intelligence, machine learning, and cloud computing, typically supported by a degree in computer science or a related field. Proficiency in Microsoft Azure services (such as Azure Machine Learning, Cognitive Services, and Databricks), along with certifications like Microsoft Certified: Azure AI Engineer Associate, is highly valued. Effective problem-solving, teamwork, and strong communication skills help Azure AI Engineers work efficiently in cross-functional teams. These abilities are essential to deliver scalable AI solutions that align with business objectives and industry best practices.

Is Azure AI in demand?

Azure AI engineers are in high demand as organizations increasingly adopt cloud-based AI solutions and require expertise in Azure services, machine learning, and AI model deployment. The role often requires knowledge of Azure tools, programming skills, and certifications, reflecting strong industry growth in cloud AI development.

What are the most commonly searched types of Azure Ai Engineer jobs in Hawaii?

The most popular types of Azure Ai Engineer jobs in Hawaii are:

What are popular job titles related to Azure Ai Engineer jobs in Hawaii?

For Azure Ai Engineer jobs in Hawaii, the most frequently searched job titles are:

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

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

Infographic showing various Azure Ai 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 66% Physical, 4% Hybrid, and 30% Remote job distribution, with an average salary of $115,898 per year, or $55.7 per hour.

Lead Decision Intelligence Engineer (AI) - NBA

Humana Inc

Honolulu, HI • On-site

$129 - $178/hr

Other

Medical, Dental, Vision, Life, Retirement, PTO

Posted 3 days ago

New


Humana rating

8.0

Company rating: 8.0 out of 10

Based on 267 frontline employees who took The Breakroom Quiz

170th of 315 rated insurance


Job description

Become a part of our caring community

The Lead Decision Intelligence Engineer (AI) owns the application of Decision Intelligence and agentic AI across the NBA platform. This role analyzes and formalizes the business decisions that drive member engagement, translating stakeholder objectives, constraints, policies, and available data into structured decision models that can be evaluated, optimized, and automated. Working closely with business, product, and engineering teams, you identify where decisions should remain rule-based, where predictive models should be applied, and where agentic systems can create measurable value.

You then design and build production-grade decision intelligence capabilities that help teams create, understand, optimize, and govern member actions. Using LangGraph, LangChain, Azure OpenAI, Azure AI Foundry, Databricks, and Humana's AI Gateway, you build agentic workflows that reason through decision processes, generate recommendations, explain tradeoffs, assist with action authoring, and continuously improve decision outcomes. This is a hands-on technical leadership role that combines decision science, AI engineering, and software architecture while leading a small team of engineers.

Key Responsibilities

Decision intelligence modeling —

Decision decomposition —

Optimization strategy —

Agentic workflow delivery —

Action Library intelligence —

LLM and agent engineering —

Knowledge and retrieval systems —

Reinforcement learning integration —

Evaluation and experimentation —

AI governance and safety —

Team leadership —

Cross-functional partnership —

Use your skills to make an impact Required Qualifications

Bachelor's degree in computer science or related field

6+ years of software engineering, machine learning engineering, AI engineering, or decision intelligence experience, including at least 1–2 years in a technical leadership capacity.

Strong Python engineering experience building and operating production AI systems.

Hands‑on experience building agentic applications using LangGraph, LangChain, AutoGen, CrewAI, or similar orchestration frameworks.

Experience integrating Azure OpenAI, Azure AI Foundry, Vertex AI, Anthropic, OpenAI, or comparable enterprise AI platforms.

Strong understanding of Decision Intelligence concepts, including decision modeling, optimization, decision automation, objectives, constraints, and outcome measurement.

Experience implementing LLM application patterns including tool calling, structured outputs, retrieval‑augmented generation (RAG), memory management, and workflow orchestration.

Experience building evaluation frameworks for AI systems, including automated evaluation, human review, performance measurement, and experimentation.

Ability to map business processes into formal decision frameworks and communicate those models to both technical and non‑technical stakeholders.

Demonstrated ability to lead a small engineering team while remaining a hands‑on contributor.

Strong communication skills with the ability to explain complex AI and decision architectures to senior leadership.

Preferred Qualifications

Experience with Decision Intelligence methodologies, decision modeling notation, decision requirements analysis, influence diagrams, decision graphs, or business decision management frameworks.

Experience operationalizing reinforcement learning, contextual bandits, recommendation systems, or next‑best‑action optimization platforms.

Experience with Databricks, MLflow, Feature Store, Mosaic AI, or enterprise machine learning platforms.

Experience with Azure AI Search, vector databases, semantic retrieval systems, and enterprise knowledge architectures.

Experience with observability platforms such as LangSmith, OpenTelemetry, PromptFlow, Azure Monitor, or equivalent AI monitoring solutions.

Experience integrating AI capabilities into enterprise software platforms and workflow‑driven applications.

Familiarity with Adobe Experience Platform (AEP), Salesforce, CRM platforms, healthcare engagement platforms, or marketing technology ecosystems.

Background in healthcare, insurance, or another highly regulated industry with auditability, explainability, and compliance requirements.

Key Responsibilities Microservices & Backend Engineering
  • Architect, implement, and operate microservices that deliver:

  • Action and variant metadata

  • Context‑aware policy and eligibility evaluation

  • Versioned, read‑optimized APIs for high‑performance runtime consumption

  • Guarantee that services are:

  • Highly available, with low latency

  • Horizontally scalable for increased demand

  • Backward compatible to support safe evolution and upgrades

  • Apply industry best practices for API design, schema evolution, service isolation, and secure integration.

Database & Schema Design
  • Design, deploy, and maintain resilient database schemas to support:

  • Comprehensive action and variant catalogs

  • Versioning, lifecycle management, and effective dating

  • Rule bindings and complex metadata relationships

  • Select and operate appropriate data stores (relational, document, key‑value) tailored to workload and scalability requirements.

  • Implement and monitor:

  • Schema migration and backward compatibility strategies

  • Indexing and query optimization for performance

  • Data integrity, consistency, and reliability

  • Auditability and traceability for compliance and governance

Rules & Policy Engine Integration
  • Integrate and manage enterprise‑grade rules engines to support:

  • Eligibility, constraints, and business policies

  • Suppression, cooldowns, exclusions, and other operational guardrails

  • Policy‑driven allow/deny logic

  • Work with technologies such as Drools (DRL/DMN), IBM ODM, DMN‑based services, OPA/Rego, or similar.

  • Ensure rule execution is deterministic, versioned, stateless, and free from unintended side effects.

AI‑Assisted & Agentic Engineering
  • Utilize AI‑powered and agentic tools to:

  • Generate and refactor database schemas and service logic

  • Streamline rule authoring, validation, and ongoing refactoring

  • Detect and address conflicting or redundant rules early in the development cycle

  • Automatically produce comprehensive test cases and explore edge scenarios

  • Apply AI responsibly to reduce manual effort while safeguarding clarity, correctness, and strong governance.

Testing, Reliability & Governance
  • Develop automated tests for:

  • Database migrations and schema changes

  • Service‑level contracts and API backward compatibility

  • Rules behavior, precedence, and edge cases

  • Ensure platforms are fully observable and resilient, featuring:

  • Structured logging, metrics, and alerting

  • Clear error handling, fallback strategies, and robust incident management

  • Support audit and compliance requirements through traceable and reproducible system behavior

Collaboration & Technical Leadership
  • Work closely with platform, data, and machine learning teams to maintain clean integration points and shared standards.

  • Participate actively in architecture and design reviews to uphold platform quality.

  • Mentor junior engineers and contribute to technical standards and best practices.

Required Qualifications
  • Bachelor's degree in computer science or related field

  • 8 or more years of progressive IT experience as a senior developer in large IT projects

  • 2 or more years of project leadership experience

  • Must be passionate about contributing to an organization focused on continuously improving consumer experiences

Preferred Qualifications
  • Master's Degree
Additional Information

Work Style: Remote/Hybrid - Preferably Boston, MA. Occasional travel to Humana's offices for training or meetings may be required.

Work Hours : Typical business hours are Monday-Friday, 8 hours/day, 5 days/week-- some flexibility might be possible, depending on business needs.

Very minimal travel might be required for training, meetings, and/or conferences

Interview Format

As part of our hiring process, we will be using on-demand technology provided by Hire Vue, a third‑party vendor. This technology provides our team of recruiters and hiring managers with an enhanced method for decision‑making through on-demand candidate assessments.

If you are selected to move forward from your application prescreen, you will receive correspondence inviting you to participate in an on-demand assessment with pre-determined questions. You should anticipate the assessment to take approximately 10-15 minutes.

Your on-demand assessment will be reviewed, and you will subsequently be informed if you will be moving forward to next round of interviews.

SSN Task via Workday

Should you be extended a formal employment offer you will receive a request to enter your SSN into our Workday system to scan for duplicate profiles.

Work at Home Requirements: To ensure Home or Hybrid Home/Office employees’ ability to work effectively, the self-provided internet service of Home or Hybrid Home/Office employees must meet the following criteria: At minimum, a download speed of 25 Mbps and an upload speed of 10 Mbps is required; wireless, wired cable or DSL connection is suggested. In certain roles, the minimum recommended internet speed required by Humana may not be sufficient for business needs. Humana reserves the right to require associates to upgrade their internet service if necessary. Work from a dedicated space lacking ongoing interruptions to protect member PHI / HIPAA information.

Travel: While this is a remote position, occasional travel to Humana's offices for training or meetings may be required.

Scheduled Weekly Hours

40

Pay Range

The compensation range below reflects a good faith estimate of starting base pay for full time (40 hours per week) employment at the time of posting. The pay range may be higher or lower based on geographic location and individual pay will vary based on demonstrated job related skills, knowledge, experience, education, certifications, etc.

$129,300 - $177,800 per year

This job is eligible for a bonus incentive plan. This incentive opportunity is based upon company and/or individual performance.

Description of Benefits

Humana, Inc. and its affiliated subsidiaries (collectively, “Humana”) offers competitive benefits that support whole‑person well‑being. Associate benefits are designed to encourage personal wellness and smart healthcare decisions for you and your family while also knowing your life extends outside of work. Among our benefits, Humana provides medical, dental and vision benefits, 401(k) retirement savings plan, time off (including paid time off, company and personal holidays, paid parental and caregiver leave), short‑term and long‑term disability, life insurance and many other opportunities.

Application Deadline: 09-29-2026

About us

About Humana: Humana Inc. (NYSE: HUM) is a leading U.S. healthcare company. Through our Humana insurance services and our CenterWell healthcare services, we make it easier for the millions of people we serve to achieve their best health – delivering the care and service they need, when they need it. These efforts are leading to a better quality of life for people with Medicare and Medicaid, families, individuals, military service personnel, and communities at large. Learn more atHumana.comand atCenterWell.com.

Equal Opportunity Employer

It is the policy of Humana not to discriminate against any employee or applicant for employment because of race, color, religion, sex, sexual orientation, gender identity, national origin, age, marital status, genetic information, disability or protected veteran status. It is also the policy of Humana to take affirmative action, in compliance with Section 503 of the Rehabilitation Act and VEVRAA, to employ and to advance in employment individuals with disability or protected veteran status, and to base all employment decisions only on valid job requirements. This policy shall apply to all employment actions, including but not limited to recruitment, hiring, upgrading, promotion, transfer, demotion, layoff, recall, termination, rates of pay or other forms of compensation and selection for training, including apprenticeship, at all levels of employment.

Humana complies with all applicable federal civil rights laws and does not discriminate on the basis of race, color, national origin, age, disability, sex, sexual orientation, gender identity or religion. We also provide free language interpreter services. See our https://www.humana.com/legal/accessibility-resources?source=Humana_Website.

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Humana logo

About Humana

Sourced by ZipRecruiter

Humana Inc., headquartered in Louisville, KY., is a leading health care company that offers a wide range of insurance products and health and wellness services that incorporate an integrated approach to lifelong well-being. By leveraging the strengths of its core businesses, Humana believes it can better explore opportunities for existing and emerging adjacencies in health care that can further enhance wellness opportunities for the millions of people across the nation with whom the company has relationships.

Industry

Health care and social assistance

Company size

10,000+ Employees

Headquarters location

Louisville, KY, US

Year founded

1961

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