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Ai Risk Analyst Jobs in Santa Rosa, CA (NOW HIRING)

Strong problem-solving and risk mitigation skills, with the ability to assess trade-offs in ... AI frameworks. Understanding of data lake architectures and real-time analytics platforms ...

Assesses & identifies risk issues, needs and possible uninsurable or difficult to insure exposures ... Strong analytical and mathematical skills. * Strong networking and strategic vision of relationship ...

Strong problem-solving and risk mitigation skills, with the ability to assess trade-offs in ... AI frameworks. Understanding of data lake architectures and real-time analytics platforms ...

Strong problem-solving and risk mitigation skills, with the ability to assess trade-offs in ... AI frameworks. Understanding of data lake architectures and real-time analytics platforms ...

Assesses & identifies risk issues, needs and possible uninsurable or difficult to insure exposures ... Strong analytical and mathematical skills. * Strong networking and strategic vision of relationship ...

Strong problem-solving and risk mitigation skills, with the ability to assess trade-offs in ... AI frameworks. Understanding of data lake architectures and real-time analytics platforms ...

Assesses & identifies risk issues, needs and possible uninsurable or difficult to insure exposures ... Leverages innovative technology, including proprietary AI solutions, throughout the sales process ...

Assesses & identifies risk issues, needs and possible uninsurable or difficult to insure exposures ... Leverages innovative technology, including proprietary AI solutions, throughout the sales process ...

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Ai Risk Analyst information

See Santa Rosa, CA salary details

$16

$44

$72

How much do ai risk analyst jobs pay per hour?

As of Jul 15, 2026, the average hourly pay for ai risk analyst in Santa Rosa, CA is $44.26, according to ZipRecruiter salary data. Most workers in this role earn between $32.60 and $53.89 per hour, depending on experience, location, and employer.

How does an AI Risk Analyst typically collaborate with cross-functional teams to assess and mitigate risks?

AI Risk Analysts work closely with data scientists, engineers, compliance officers, and business leaders to identify, evaluate, and mitigate risks associated with AI systems. They facilitate risk assessment workshops, gather input from technical and non-technical stakeholders, and ensure that risk controls are integrated into AI development processes. Effective communication and documentation are crucial, as analysts must translate complex technical risks into actionable recommendations for diverse teams. This collaborative approach helps ensure that AI solutions are both innovative and aligned with regulatory and ethical standards.

What is a $900000 AI job?

A $900,000 AI job typically refers to high-level roles such as AI research directors, chief AI officers, or senior data scientists working in organizations with significant AI investments. These positions often require advanced skills in machine learning, deep learning, and data analysis, along with extensive experience and leadership responsibilities. Compensation at this level reflects the strategic importance and complexity of AI initiatives within the company.

What careers are at risk with AI?

AI poses a risk to jobs involving repetitive tasks and routine processes, such as data entry, basic customer service, and certain manufacturing roles. Roles that rely heavily on manual or predictable tasks are more susceptible to automation, while jobs requiring complex decision-making, creativity, and emotional intelligence are less vulnerable.

How to become an AI risk analyst?

To become an AI risk analyst, candidates typically need a strong background in computer science, data analysis, or related fields, along with knowledge of AI systems and risk management principles. Relevant skills include programming, statistical analysis, and familiarity with AI safety tools, often supported by certifications or advanced degrees. Gaining experience through internships or projects focused on AI ethics and safety is also beneficial.

What does an AI risk analyst do?

An AI risk analyst evaluates potential risks associated with artificial intelligence systems, including ethical, safety, and security concerns. They analyze data, develop risk mitigation strategies, and often use tools like risk assessment frameworks and programming skills to ensure AI deployments are safe and compliant with regulations.

What is the difference between Ai Risk Analyst vs Data Scientist?

AspectAi Risk AnalystData Scientist
Required CredentialsBachelor's in Risk Management, Data Science, or related fields; certifications in AI or risk analysisBachelor's or Master's in Data Science, Statistics, or Computer Science; certifications in data analysis or machine learning
Work EnvironmentFinancial institutions, insurance companies, or tech firms focusing on risk assessmentTech companies, research labs, or any industry leveraging data for insights
Employer & Industry UsagePrimarily in finance, insurance, and risk-focused sectorsAcross various industries including tech, healthcare, finance, and marketing

The main difference is that an Ai Risk Analyst specializes in assessing and managing risks related to AI systems, often within financial or risk-focused industries. In contrast, a Data Scientist analyzes large datasets to extract insights across diverse sectors. While both roles require strong analytical skills and knowledge of AI and data tools, the Ai Risk Analyst focuses more on risk mitigation specific to AI applications.

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

To thrive as an AI Risk Analyst, you need a strong foundation in data analysis, risk assessment, and an understanding of AI/ML technologies, typically supported by a degree in computer science, statistics, or a related field. Familiarity with risk management frameworks, AI auditing tools, and certifications such as CRISC or AI ethics credentials is often required. Excellent problem-solving, critical thinking, and communication skills help in identifying risks and conveying complex findings to stakeholders. These skills are crucial to ensure responsible AI deployment, mitigate potential risks, and maintain regulatory compliance.

What are AI Risk Analysts?

AI Risk Analysts are professionals who assess, monitor, and manage the risks associated with the development and deployment of artificial intelligence systems. Their work involves identifying potential threats such as bias, security vulnerabilities, ethical concerns, and compliance issues that could arise from using AI technologies. They collaborate with data scientists, engineers, and compliance teams to develop risk mitigation strategies and ensure that AI systems operate safely, ethically, and in accordance with relevant regulations.
What job categories do people searching Ai Risk Analyst jobs in Santa Rosa, CA look for? The top searched job categories for Ai Risk Analyst jobs in Santa Rosa, CA are:
What cities near Santa Rosa, CA are hiring for Ai Risk Analyst jobs? Cities near Santa Rosa, CA with the most Ai Risk Analyst job openings:
Infographic showing various Ai Risk Analyst job openings in Santa Rosa, CA as of July 2026, with employment types broken down into 73% Full Time, 25% Part Time, and 2% Contract. Highlights an 66% Physical, 3% Hybrid, and 31% Remote job distribution, with an average salary of $92,069 per year, or $44.3 per hour.
Senior Software Engineer (Tools & Frameworks), Applications

Senior Software Engineer (Tools & Frameworks), Applications

SmithRx

Bodega Bay, CA

$145K - $191K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 14 days ago


Job description

Who We Are:

SmithRx is a rapidly growing, venture-backed Health-Tech company. Our mission is to disrupt the expensive and inefficient Pharmacy Benefit Management (PBM) sector by building a next-generation drug acquisition platform driven by cutting edge technology, innovative cost saving tools, and best-in-class customer service. With hundreds of thousands of members onboarded since 2016, SmithRx has a solution that is resonating with clients all across the country.

We pride ourselves for our mission-driven and collaborative culture that inspires our employees to do their best work. We believe that the U.S healthcare system is in need of transformation, and we come to work each day dedicated to making that change a reality. At our core, we are guided by our company values:

  • Integrity: Our purpose guides our actions and gives us confidence in the path ahead. With unwavering honesty and dependability, we embrace the pressure of challenging the old and exemplify ethical leadership to create the new.
  • Courage: We face continuous challenges with grit and resilience. We embrace the discomfort of the unknown by balancing autonomy with empathy, and ownership with vulnerability. We boldly challenge the status quo to keep moving forward—always.
  • Together: The success of SmithRx reflects the strength of our partnerships and the commitment of our team. Our shared values bind us together and make us one. When one falls, we all fall; when one rises, we all rise.

Job Summary:

As a Senior Backend Software Engineer, you will play a key role in all stages of the engineering lifecycle—designing, building, testing, and maintaining the SmithRx internal tooling and frameworks suite. You will champion best practices, coding standards, and large-scale system design while bringing a forward-thinking mindset to the team. We are looking for versatile, self-driven engineers who demonstrate leadership, ownership, and a passion for tackling new challenges.

As part of the Tools and Frameworks team within Application Engineering, you will own the backend data and infrastructure for mission-critical shared services, including Authentication & Authorization, Audit-Trail tools, and our Internal File Processor. Success in this role requires a deep interest in systems architecture and developer productivity, as you will design resilient, scalable APIs and schemas intended for use across multiple domains.

Beyond core design and coding, you will partner closely with product engineering and security stakeholders to define technical requirements that uphold rigorous security and compliance standards. By building robust, reusable libraries and frameworks, you will streamline development for other teams while contributing to initiatives that enhance service availability and performance. To excel, you must become an expert in our core systems and their integration with consuming applications, directly supporting our mission to lower healthcare costs.

What you will do:

  • Focus on back-end architecture: Design, develop, and maintain SmithRx product features using various languages such as Golang, GraphQL, Node, and SQL.
  • Collaborate and Iterate: Work closely with stakeholders and technical leads to understand functional requirements and produce high-quality, scalable software.
  • Design and Estimate: Provide scope and risk estimates for system and feature builds by creating comprehensive technical design documentation.
  • Apply Best Practices: Continually apply software development best practices, design patterns, testing, automation, and modern tools.
  • Leverage AWS: Utilize AWS technologies, including Lambda, DynamoDB, SQS, and RDS, to handle diverse job types and batch processing.
  • Resolve Production Issues: Perform triage for live issues, assess impact, execute short-term and long-term mitigation plans, and conduct root-cause analysis.
  • Mentor and Coach: Guide junior team members through design and code reviews, providing actionable feedback on their projects.
  • Strategy and Roadmap: Work with senior leadership to translate technical vision into a tangible quarterly roadmap.
  • Culture and Innovation: Act as a cornerstone of a collaborative learning culture through mentorship, code reviews, and the exploration of new technologies.
  • AI Integration: Actively seek out new AI tools and technologies and share them with the team to positively impact overall software delivery speed and quality.

What you will bring to SmithRx:

  • Education: BS or advanced degree in Computer Science or equivalent professional experience.
  • Experience: 5-8 years of professional software development experience.
  • Background: Experience at a high-growth startup or midsize tech company is a plus.
  • Technical Expertise: Solid experience working with a compiled language such as Go, Java, C#, or C++ (Go experience is a strong plus).
  • Database Mastery: Proficiency with relational databases (specifically PostgreSQL), including schema design, SQL tuning, and database monitoring.
  • API Design: Demonstrated experience designing and implementing scalable APIs, with a solid understanding of design patterns and testing best practices.
  • Cloud & DevOps: Strong understanding of GraphQL APIs, CI/CD pipelines, AWS, Docker, and Kubernetes.
  • AI Proficiency: Experience using GenAI tools to efficiently deliver high-quality production software is a plus.
  • Soft Skills: A positive, non-dogmatic, team-first attitude with the flexibility to navigate ambiguity.
  • Discipline: A highly disciplined approach to software design with the ability to work independently, forecast milestones accurately, and manage stakeholder expectations.

What SmithRx Offers You:

  • Highly competitive wellness benefits including Medical, Pharmacy, Dental, Vision, and Life Insurance and AD&D Insurance
  • Flexible Spending Benefits
  • 401(k) Retirement Savings Program
  • Short-term and long-term disability
  • Discretionary Paid Time Off
  • Paid Company Holidays
  • Wellness Benefits
  • Commuter Benefits
  • Paid Parental Leave benefits
  • Employee Assistance Program (EAP)
  • Well-stocked kitchen in office locations
  • Professional development and training opportunities

Location: US - Remote