ZipRecruiter

Log In

1

Ml Inference Jobs in Arizona (NOW HIRING)

Inficare Technologies

Lead AI Engineer

Phoenix, AZ · On-site

$99K - $131K/yr

LLM infrastructure, inference, and model gateways * Evaluation, observability, and safety tooling ... LangGraph, LangChain, AirFlow, etc Agentic AI and ML * Integration of commercial and open-source ...

Intel

Software Engineer

Phoenix, AZ · On-site

Experience with machine learning systems, including model training, evaluation, inference, and use of frameworks such as PyTorch, TensorFlow, or Scikit-learn. * Experience deploying AI/ML services ...

Intel Corporation

Software Engineer

Phoenix, AZ · On-site

Experience with machine learning systems, including model training, evaluation, inference, and use of frameworks such as PyTorch, TensorFlow, or Scikit-learn. * Experience deploying AI/ML services ...

Deloitte

Google AI Lead Architect

Tempe, AZ

$53 - $72.50/hr

Integrate and fine-tune Large Language Models (LLMs) and other AI/ML models into enterprise applications. Develop and implement strategies for model deployment, inference, and monitoring, with an ...

Microchip Technology

Engineer I-Software

Chandler, AZ · On-site

Collaborate with data scientists and ML engineers to implement model pipelines and inference services. * Write clean, well-documented, and testable code. * Participate in code reviews, sprint ...

Lorven Technologies

AI Solution Architect

Tempe, AZ · On-site

$60.25 - $79.50/hr

This individual will operate at the intersection of architecture, AI platform engineering, ML ... Real-time inference pipelines * Ensure architectural alignment with: * Cloud strategy * Enterprise ...

Atos

SOFTWARE ENGINEER

Phoenix, AZ

Integrate AI/ML models, LLMs, and Generative AI APIs into existing Java applications. Pipeline Engineering: Design and maintain data pipelines for machine learning model training and inference.

Atos

SOFTWARE ENGINEER

Phoenix, AZ · On-site

Integrate AI/ML models, LLMs, and Generative AI APIs into existing Java applications. Pipeline Engineering: Design and maintain data pipelines for machine learning model training and inference.

Tata Consultancy Service Limited

AI Engineer

Phoenix, AZ · On-site

$100K - $120K/yr

... ML infrastructure • AI engineers with recent NodeJS/Javascript/Typescript experience • Proven ... inference tooling), with some exposure to TensorFlow • Strong schema, validation, and state ...

next page

Showing results 1-20

All JobsMl Inference JobsMl Inference Jobs in Arizona

Ml Inference information

What is ML inference?

ML inference refers to the process of using a trained machine learning model to make predictions or decisions based on new data. After a model has been trained on historical data, inference is the phase where that model is deployed and used in real-world applications, such as recognizing speech, detecting objects in images, or recommending products. The focus in ML inference is on speed, efficiency, and scalability to ensure quick predictions, often in real time. This process is critical for practical applications like mobile apps, web services, and embedded systems. Optimizing inference involves reducing latency, memory usage, and computational requirements.

What is the difference between Ml Inference vs Data Scientist?

AspectML InferenceData Scientist
Required CredentialsKnowledge of machine learning models, programming skillsDegree in data science, statistics, or related fields
Work EnvironmentDeploying models in production, real-time data processingData analysis, model development, research
Industry UsageAI product deployment, software companiesResearch institutions, tech firms, consulting

ML Inference focuses on deploying trained models to make predictions on new data, often in real-time. Data Scientists develop and analyze models, working primarily in research and development. While both roles require understanding of machine learning, ML Inference emphasizes deployment and operationalization, whereas Data Scientists focus on model creation and analysis.

Which 3 jobs will survive AI?

For ML Inference roles, jobs that require complex problem-solving, creativity, and emotional intelligence are more likely to persist, such as data scientists, AI ethics specialists, and machine learning engineers. These roles involve tasks that are difficult to automate and often require specialized skills, domain knowledge, and critical thinking. Continuous learning and expertise in AI tools and programming languages like Python or TensorFlow can also enhance job security in this field.

What engineers make $500,000?

Senior machine learning engineers with extensive experience, specialized skills in deep learning, and strong industry demand can earn $500,000 or more annually, especially in high-cost-of-living areas or within top tech companies. Achieving this level typically requires advanced degrees, certifications, and a proven track record of impactful projects.

What is a $900,000 AI job?

A $900,000 AI job typically refers to high-level roles in artificial intelligence, such as senior machine learning engineers or AI research directors, often requiring advanced skills in deep learning, data science, and experience with tools like TensorFlow or PyTorch. These positions usually involve leadership responsibilities, strategic planning, and may require multiple years of specialized experience or advanced degrees.

Is ML a high paying job?

Machine Learning (ML) inference roles are generally well-paid due to the specialized skills required, such as knowledge of algorithms, programming, and data analysis. Salaries vary based on experience, location, and industry, but they tend to be higher than average for tech positions. Advanced roles often require proficiency with tools like TensorFlow or PyTorch and may include certifications or advanced degrees.

What are some common challenges faced by ML Inference Engineers when deploying models to production?

ML Inference Engineers often encounter challenges such as optimizing model latency and throughput to meet production requirements, ensuring compatibility with diverse hardware environments, and managing model versioning and updates without disrupting service. Additionally, balancing resource utilization and inference accuracy while monitoring real-time performance metrics is crucial. Collaboration with data scientists, DevOps, and software engineers is typically essential to streamline deployment and maintain robust, scalable inference pipelines.

What are the key skills and qualifications needed to thrive in ML Inference, and why are they important?

To thrive in ML Inference, you need a solid background in machine learning principles, programming (Python or C++), and experience with deploying models at scale, often supported by a degree in computer science or a related field. Familiarity with frameworks and tools such as TensorFlow, PyTorch, ONNX, and cloud platforms like AWS SageMaker or Google AI Platform is typically required. Strong problem-solving skills, attention to detail, and effective communication are crucial soft skills for collaborating with multidisciplinary teams and optimizing model performance. These skills ensure efficient, scalable, and reliable deployment of machine learning solutions in real-world applications.
What are popular job titles related to Ml Inference jobs in Arizona? For Ml Inference jobs in Arizona, the most frequently searched job titles are:
What job categories do people searching Ml Inference jobs in Arizona look for? The top searched job categories for Ml Inference jobs in Arizona are:
What cities in Arizona are hiring for Ml Inference jobs? Cities in Arizona with the most Ml Inference job openings:
Ml Inference jobs near you

Sr AI Solution Architect

TriWest Healthcare

Phoenix, AZ • On-site

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 4 days ago

Job description

We offer remote work opportunities (AK, AR, AZ, CO, FL, HI, IA, ID, IL, KS, LA, MD, MN, MO, MT, NE, NV, NM, NC, ND, OK, OR, SC, SD, TN, TX, UT, VA/DC, WA, WI & WY only).
Our Department of Defense contract requires US citizenship and a favorably adjudicated DOD background investigation for this position.
Veterans, Reservists, Guardsmen, and military family members are encouraged to apply!
Job Summary
The Sr AI Solution Architect is a senior individual contributor responsible for designing secure, scalable, and compliant AI systems across TriWest Healthcare Alliance. Reporting to the Dir, Enterprise AI & Automation, this role sits at the intersection of software architecture and cybersecurity, translating complex healthcare and federal contracting business needs into technical blueprints that can be built, audited, and scaled. The Sr AI Solution Architect selects appropriate models and tools, designs secure data pipelines, and ensures all solutions meet HIPAA, FedRAMP, and NIST compliance requirements, while partnering with technical leads on existing enterprise systems to define how AI and automation capabilities will integrate into TriWest's current infrastructure.
Technical decisions at this level carry material compliance and patient data consequences. This role designs agentic AI frameworks, RAG pipelines, and high-throughput inference architectures that must scale to millions of member claims without performance degradation or compliance exposure. The Sr AI Solution Architect provides design review and technical guidance on solutions produced by consulting engineers, ensuring alignment with TriWest's architectural standards and security guardrails within the governance structure led by the Director of AI and Automation and the AI Governance Committee.
Education & Experience
Required:
• Bachelor's degree in Computer Science, Computer Engineering, or equivalent work experience
• U.S. Citizen
• Must be able to receive a favorable interim and adjudicated final Department of Defense (DoD) background investigation
• 8 or more years of experience in Software Architecture or Systems Engineering with a focus on enterprise-grade healthcare platforms
• 5 or more years specifically focused on cloud services such as AWS Bedrock or Azure and complex data engineering
• 2 or more years specifically focused on AI/ML architectures, designing, evaluating and implementing enterprise level agentic AI solutions
• Proven track record designing high-availability systems that handle sensitive healthcare data including PHI and PII while maintaining strict compliance with NIST and FedRAMP standards
• Deep experience designing and implementing RAG architectures, vector databases, API gateways, and cloud inference endpoints
• Demonstrated expertise in Privacy by Design architecture and automated PHI de-identification workflows
• Experience developing agentic AI frameworks capable of multi-step reasoning, tool use, and self-correction in a production environment
• Strong knowledge of healthcare interoperability standards including FHIR and HL7
Preferred:
• Experience in a federal healthcare contracting environment such as VA or DoD programs
• AWS or Azure AI/ML certification
• Familiarity with FedRAMP authorization processes
• Experience with contact center AI platforms such as Google CCAI or Amazon Connect
Key Responsibilities
• Architect end-to-end AI solutions, selecting optimal tools and models for specific healthcare use cases - including Gemini for summarization, AWS versus Salesforce for contact center AI, and SLMs versus LLMs for clinical versus general reasoning tasks. Ensuring cost, performance, and compliance optimization at each decision point.
• Partner directly with the CISO office to define and implement security guardrails for all AI tools, including encryption standards, data residency controls, and access control architectures that meet HIPAA and FedRAMP requirements.
• Design and manage the AI infrastructure stack, including vector databases, API gateways, and cloud inference endpoints within AWS and Azure environments, ensuring high availability and performance at enterprise scale.
• Establish coding standards, architectural patterns, and best practices for the engineering team to ensure long-term maintainability, security, and scalability of all AI systems built at TriWest.
• Lead the design of high-fidelity RAG architectures, focusing on advanced chunking strategies and semantic search optimization to minimize hallucinations in medical and operational summaries.
• Design Privacy by Design architectures that automate the de-identification of PHI before it enters AI processing layers, ensuring every solution is compliant by default rather than by audit.
• Develop foundational blueprints for autonomous agentic AI frameworks capable of multi-step reasoning, tool use, and self-correction within TriWest's healthcare and federal contracting environment.
• Engineer high-throughput inference architectures to ensure AI-driven automation scales across millions of member claims without performance degradation or latency failures.
• Ensure all AI blueprints align with FHIR and HL7 interoperability standards to allow seamless data exchange between AI agents and TriWest's core clinical and operational systems.
• Architect automated logging and audit trails for all AI-generated outputs to meet FedRAMP and HIPAA reporting requirements, providing the compliance infrastructure for governance reporting.
• Provide technical review and guidance on solution designs produced by consulting engineers, ensuring alignment with TriWest's architectural standards before development begins.
• Regular and reliable attendance is required.
Competencies
Communication / People Skills: Translates highly complex AI architectural concepts into clear technical documentation for engineering teams and into business-relevant terms for executive and compliance stakeholders. Engages credibly with the CISO office, clinical operations leadership, and federal compliance reviewers simultaneously, adapting depth and framing for each audience.
Computer Literacy: Ability to function in a multi-system Microsoft environment using Word, Outlook, TriWest Intranet, the Internet, and department software applications.
Coping / Flexibility: Operates at the frontier of AI technology in a regulated environment where both the technology and the compliance landscape evolve rapidly. Maintains architectural discipline and security standards even when business stakeholders press for faster delivery timelines than the compliance requirements allow.
Creativity / Innovation: Designs novel AI architectures tailored to TriWest's unique intersection of healthcare operations and federal contracting requirements, where off-the-shelf solutions are rarely sufficient. Evaluates emerging AI tools, models, and infrastructure patterns continuously to ensure TriWest's technical stack remains current without introducing unnecessary risk.
Independent Thinking / Self-Initiative: Operates as a senior technical resource for AI solution design with significant latitude for independent decision-making within the governance structure. Proactively identifies architectural risks, infrastructure gaps, and compliance vulnerabilities before they become production issues, and develops mitigation strategies without waiting for direction.
Information Management: Manages large volumes of complex technical, security, and compliance information across multiple concurrent AI solution designs. Produces and maintains architectural documentation, design decision records, and compliance audit trails with the precision required for FedRAMP and federal contracting oversight.
High Intensity Environment: Performs effectively under the sustained pressure of high-visibility AI architecture decisions with direct compliance, financial, and patient data consequences. Maintains technical precision and regulatory awareness when timelines are compressed and stakeholder expectations are high.
Multi-Tasking / Time Management: Balances solution design, infrastructure management, security reviews, standards development, and engineering oversight across multiple concurrent AI initiatives, managing competing technical demands without compromising the security or compliance integrity of any solution.
Organizational Skills: Manages multiple concurrent AI solution architecture engagements at different stages of design, review, and compliance validation. Maintains architectural documentation, standards libraries, and infrastructure designs with the rigor required for enterprise governance and federal audit readiness.
Problem Solving / Analysis: Applies systematic architectural analysis to highly complex, multi-system AI integration challenges where there is no established precedent. Evaluates competing technical approaches against compliance requirements, cost constraints, and performance targets, producing defensible architectural decisions that engineering teams can build from and auditors can review.
Team-Building / Team Player: Provides technical leadership and design guidance to consulting engineers and the Sr. Process & AI Business Analyst, creating a collaborative design environment where architectural standards are clear and decisions are made transparently. Builds credibility with existing technical leads across the enterprise whose systems must integrate with new AI capabilities.
Technical Skills: Expert-level knowledge of AI/ML architecture including large language models, small language models, retrieval-augmented generation, agentic frameworks, and cloud AI services across AWS Bedrock and Azure OpenAI. Deep proficiency in designing secure data pipelines, vector databases, API gateways, and Privacy by Design architectures within HIPAA, FedRAMP, and NIST-compliant environments. Demonstrated ability to make technically sound, independently defensible architectural decisions that balance performance, security, cost, and long-term maintainability.
Working Conditions
Working Conditions:
• Works within a standard office environment; remote work eligible per TriWest telecommuting policy with periodic office attendance as required.
• Extensive computer work with long periods of sitting.
• May work non-standard hours to support AI initiative deployments, governance committee meetings, or executive review cycles.
• Regular and reliable attendance is required.
Company Overview
Taking Care of Our Nation's Heroes.
It's Who We Are. It's What We Do.
Do you have a passion for serving those who served?
Join the TriWest Healthcare Alliance Team! We're On a Mission to Serve®!
Our job is to make sure that America's heroes get connected to health care in the community.
At TriWest Healthcare Alliance, we've proudly been on that important mission since 1996.
DoD Statement
Our Department of Defense contract requires US citizenship and a favorably adjudicated DOD background investigation for this position.
Benefits
We're more than just a health care company. We're passionate about serving others! We believe in rewarding loyal, hard-working people who are willing to learn as they grow. TriWest Healthcare Alliance values teamwork. Join our team, fulfill your responsibilities, and you may also be considered for frequent pay raises, overtime opportunities to earn even more, recognition and reward programs, and much more. Of course, we also offer a comprehensive and progressive compensation and benefits package that includes:
  • Medical, Dental and Vision Coverage
  • Paid time off
  • 401(k) Retirement Savings Plan (with matching)
  • Short-term and long-term disability, basic life, and accidental death and dismemberment insurance
  • Tuition reimbursement
  • Paid volunteer time

TriWest job postings typically include a salary range, which can vary based on the specific role and location, but generally this position ranges from around $160,000 - $168,000 per year.
Equal Employment Opportunity
TriWest Healthcare Alliance is an equal employment opportunity employer. We are proud to have an inclusive work environment and know that a diverse team is a strength that will drive our success. To that end, TriWest strives to create an inclusive environment that supports diversity at every organizational level, and we highly encourage candidates from all backgrounds to apply. Applicants are considered for positions based on merit and without discrimination on the basis of race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability or any other consideration made unlawful by applicable federal, state, or local laws.

Apply