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Ai Alignment Jobs in Arizona (NOW HIRING)

Deloitte

AI Security Engineer Manager

Tempe, AZ · On-site

Ensure solutions are feasible, secure, and aligned with business and customer objectives. • ... to embed AI security into solutions. Balance usability, performance, and security in decision ...

Deloitte

AI Security Engineer Senior Manager

Gilbert, AZ · On-site

$114K - $156K/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 Senior Manager

Tempe, AZ

$109K - $150K/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 ...

Orbotech

Full Stack AI Engineer

Phoenix, AZ · On-site

Partner with cross-functional stakeholders to align priorities and deliver impactful solutions ... At least 2 years working with AI/ML or LLM-based solutions in production environments

KLA Corporation

Full Stack AI Engineer

Chandler, AZ · On-site

Partner with cross-functional stakeholders to align priorities and deliver impactful solutions ... At least 2 years working with AI/ML or LLM-based solutions in production environments

Orbotech

Full Stack AI Engineer

Chandler, AZ · On-site

Partner with cross-functional stakeholders to align priorities and deliver impactful solutions ... At least 2 years working with AI/ML or LLM-based solutions in production environments

Kla

Full Stack AI Engineer

Phoenix, AZ · On-site

Partner with cross-functional stakeholders to align priorities and deliver impactful solutions ... At least 2 years working with AI/ML or LLM-based solutions in production environments

Kla

Full Stack AI Engineer

Chandler, AZ · On-site

Partner with cross-functional stakeholders to align priorities and deliver impactful solutions ... At least 2 years working with AI/ML or LLM-based solutions in production environments

KLA Corporation

Full Stack AI Engineer

Phoenix, AZ · On-site

Partner with cross-functional stakeholders to align priorities and deliver impactful solutions ... At least 2 years working with AI/ML or LLM-based solutions in production environments

Lorven Technologies

AI Solution Architect

Tempe, AZ · On-site

$60.25 - $79.50/hr

Ensure architectural alignment with: * Cloud strategy * Enterprise data governance * Security & compliance standards Security, Compliance & Responsible AI * Architect AI systems in compliance with ...

Deloitte

AI Security Engineer Manager

Gilbert, AZ · 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 ...

onsemi

Cybersecurity AI Architect

Scottsdale, AZ · On-site

The role focuses on enabling teams to deliver AI-enabled technical solutions and advising on secure architectures that align technology and business outcomes. Responsibilities : • Partner with ...

Northern Trust

SVP AI Enterprise Architect

Tempe, AZ · On-site

$137K - $240K/yr

Strong enterprise architecture background and ability to align AI solutions with business strategy. * Expertise in AI governance, regulatory frameworks, and implementing compliant risk controls.

Deloitte

AI Security Engineer Manager

Tempe, AZ

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 ...

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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 Arizona? For Ai Alignment jobs in Arizona, the most frequently searched job titles are:
What job categories do people searching Ai Alignment jobs in Arizona look for? The top searched job categories for Ai Alignment jobs in Arizona are:
What cities in Arizona are hiring for Ai Alignment jobs? Cities in Arizona with the most Ai Alignment job openings:
Ai Alignment jobs near you
Infographic showing various Ai Alignment job openings in Arizona as of July 2026, with employment types broken down into 83% Full Time, 11% Part Time, and 6% Contract. Highlights an 74% In-person, and 26% Remote job distribution.
AI Security Engineer Manager

AI Security Engineer Manager

Deloitte

Tempe, AZ • On-site

Full-time

Posted 8 days ago

Deloitte rating

8.1

Company rating: 8.1 out of 10

Based on 90 frontline employees who took The Breakroom Quiz

59th of 148 rated financial services

Job description

Job Summary:
Deloitte is a leading professional services firm, and they are seeking a Manager in AI Security Engineering. This role involves securing the development and deployment of AI/ML and Generative AI solutions while leading teams to ensure that AI systems meet enterprise security, risk, and compliance expectations.
Responsibilities:
• Design and deliver AI-enabled solutions that are secure by design, balancing business value with risk mitigation. Solve complex problems while ensuring protection of data, models, and systems.
• Actively contribute to architecture, design, and development of AI/ML and GenAI systems with embedded security controls. Integrate security across the SSDLC, including code reviews, testing, and deployment. In this role you will be responsible for managing AI defensive technologies and the operations of those technologies which will evolve over time.
• Identify and address AI-specific vulnerabilities, including prompt injection, data leakage, model manipulation, and misuse. Implement practical safeguards to ensure system integrity and trustworthiness.
• Serve as a trusted technical voice for secure AI engineering. Ensure solutions are feasible, secure, and aligned with business and customer objectives.
• Maintain high standards for code quality, scalability, and security. Contribute to secure coding practices, reusable patterns, and continuous improvement across engineering teams.
• Support rapid experimentation while applying appropriate security guardrails. Enable teams to innovate safely through controlled, risk-aware development practices.
• Partner closely with product, engineering, cybersecurity, and risk teams to embed AI security into solutions. Balance usability, performance, and security in decision-making.
• Apply and help evolve standards for AI security, including data protection, access control, model validation, and monitoring within DevSecOps and MLOps pipelines.
• Clearly articulate technical risks, trade-offs, and solutions to both technical and non-technical stakeholders. Contribute to alignment and informed decision-making.
Qualifications:
Required:
• Bachelor's degree or equivalent in Computer Science, Computer Engineering, Business Administration
• Minimum 6 years of relevant experience in software engineering, cybersecurity, and/or including AI/ML, with hands-on delivery experience
• Minimum 1 year of people and/or process management experience
Preferred:
• Strong understanding of AI/GenAI technologies and associated security risks (e.g., prompt injection, data exposure, adversarial threats)
• Experience building and securing applications using Python, JavaScript, or similar, along with ML frameworks (e.g., PyTorch, TensorFlow)
• Familiarity with secure development practices (DevSecOps) and integrating security into CI/CD and MLOps pipelines
• Experience with cloud platforms (AWS, Azure, GCP) and cloud-native security principles
• Knowledge of data protection, identity/access management, and secure architecture patterns
• Ability to work across teams, mentor engineers, and contribute to a strong engineering culture
• Strong communication skills with the ability to translate technical concepts into business-relevant insights
Company:
Deloitte is a business consulting company that offers audit, consulting, financial advisory, and tax services. Founded in 1845, the company is headquartered in London, GBR, with a team of 10001+ employees. The company is currently Late Stage.

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