ZipRecruiter

Log In

1

Ai Risk Analyst Jobs in Pennsylvania (NOW HIRING)

SEI Investments

AI Cybersecurity Engineer

Oaks, PA · On-site

... risk, and compliance organizations. You will balance cutting-edge AI/ML engineering with robust ... analytics. Cross-Functional Collaboration & Stakeholder Management * Communicate complex technical ...

NATIONMIND LLC

AI Architect -W2 only

Pittsburgh, PA · On-site

$50 - $58/hr

... and analytics initiatives. * Define policies for data retention, encryption, privacy, access controls, auditability, and regulatory compliance. Responsible AI & Risk Management * Implement ...

BNY

Director, Country Risk Manager

Pittsburgh, PA · On-site

This role is responsible for managing day-to-day team execution, reviewing analytical output, and ... Every day, our teams harness cutting-edge AI and breakthrough technologies to collaborate with ...

New

Cadent

Director, Data & AI Governance

Philadelphia, PA · On-site

Risk Management & Compliance: Identify, assess, and mitigate AI-related risks, including data privacy, cybersecurity, model bias, and third-party vendor risks. You will define risk tiers and approval ...

previous pagenext page

Showing results 21-40

All JobsAi Risk Analyst JobsAi Risk Analyst Jobs in Pennsylvania

Ai Risk Analyst information

See Pennsylvania salary details

$15

$40

$66

How much do ai risk analyst jobs pay per hour?

As of Aug 6, 2026, the average hourly pay for ai risk analyst in Pennsylvania is $40.58, according to ZipRecruiter salary data. Most workers in this role earn between $29.86 and $49.38 per hour, depending on experience, location, and employer.

How does an AI risk analyst 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 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 skills and qualifications are needed to be an AI risk analyst?

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 is an AI risk analyst?

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 are popular job titles related to Ai Risk Analyst jobs in Pennsylvania? For Ai Risk Analyst jobs in Pennsylvania, the most frequently searched job titles are:
What job categories do people searching Ai Risk Analyst jobs in Pennsylvania look for? The top searched job categories for Ai Risk Analyst jobs in Pennsylvania are:
What cities in Pennsylvania are hiring for Ai Risk Analyst jobs? Cities in Pennsylvania with the most Ai Risk Analyst job openings:
Ai Risk Analyst jobs near you
Infographic showing various Ai Risk Analyst job openings in Pennsylvania as of August 2026, with employment types broken down into 100% Full Time. Highlights an 100% In-person job distribution, with an average salary of $84,412 per year, or $40.6 per hour.

Senior Principal EA Applied AI Agentic Architecture

Pennsylvania Medicine

Philadelphia, PA • On-site

Full-time

Posted 29 days ago

Job description

Penn Medicine is dedicated to our tripartite mission of providing the highest level of care to patients, conducting innovative research, and educating future leaders in the field of medicine. Working for this leading academic medical center means collaboration with top clinical, technical and business professionals across all disciplines.
Today at Penn Medicine, someone will make a breakthrough. Someone will heal a heart, deliver hopeful news, and give comfort and reassurance. Our employees shape our future each day. Are you living your life's work?
Entity: Corporate Services
Department: Enterprise Technology Architecture and Strategy
Location: Hybrid, 3535 Market St, Philadelphia, PA 19104
Summary:
  • Principal Enterprise Architect - Applied AI & Agentic Architecture is the senior individual contributor role responsible for the solution and workflow-level architecture of applied AI, generative AI (GenAI), and agentic systems across the enterprise. This role serves as the authoritative enterprise architecture voice for how AI and GenAI capabilities are designed, integrated, governed, and consumed within clinical, operational, administrative, and digital environments. The Senior Principal defines and maintains enterprise standards, reference architectures, integration patterns, and responsible AI frameworks that enable the safe, compliant, and scalable deployment of AI use cases across the health system. This role operates at the intersection of clinical care, enterprise IT, and emerging AI technology, ensuring that AI investments are architecturally sound, clinically safe, ethically governed, and aligned to measurable organizational outcomes.

Responsibilities:
  • Defines and owns enterprise reference architectures and design standards for applied AI, GenAI, and Agentic AI systems deployed into clinical, research, operational and administrative workflows.
  • Architect Agentic AI and multi-agent system (MAS) patterns appropriate for enterprise and regulated clinical use, including agent orchestration, human-in-the-loop controls, and safety boundaries.
  • Owns applied GenAI integration architecture including retrieval-augmented generation (RAG), prompt governance frameworks, LLM orchestration patterns, and API consumption standards across enterprise AI platforms.
  • Establishes and maintains responsible AI guardrails, clinical AI safety frameworks, and applied AI risk controls, ensuring alignment with patient safety obligations and regulatory requirements.
  • Represent in governance of AI use-case portfolio from an architecture perspective, including use-case value-cost-risk analysis, clinical applicability assessment, and architecture review for AI solutions entering production.
  • Leads AI architecture scenario planning to anticipate regulatory, clinical safety, and technology risks, and embeds adaptive guardrails into enterprise AI architecture standards and governance frameworks.
  • Applies human centered design and design thinking principles to AI architecture, ensuring solutions are aligned to end user needs, workflow integration, and the patient and clinician experience.
  • Partners with clinical informatics, digital health, data & analytics and operational leaders to translate AI investments into architecturally sound, measurable enterprise outcomes.
  • Develops and enforces enterprise AI consumption standards and integration patterns for EHR systems, clinical applications, operational platforms, and enterprise data services.
  • Collaborates with Information Security, Privacy, Legal, Compliance, and Risk Management to ensure AI use cases meet HIPAA, patient safety, and applicable regulatory and audit requirements.
  • Provides architecture advisory and review for AI-related vendor evaluations, procurement decisions, and enterprise product selections at the solution and workflow layer.
  • Represents the applied AI architecture domain in enterprise architecture review boards, AI governance committees, and relevant executive steering bodies.
  • Publishes and maintains AI architecture decision records, reference architectures, design patterns, and governance standards accessible to delivery teams and enterprise stakeholders.
  • Monitors emerging AI, GenAI, and agentic AI trends; assesses implications for enterprise architecture standards, governance frameworks, and clinical safety posture.
  • Serves as a senior architectural thought leader and trusted advisor to executive, clinical, and operational stakeholders on applied AI architecture matters.
  • Performs duties in accordance with Penn Medicine and entity values, policies, and procedures.
  • Other duties as assigned to support the unit, department, entity, and health system organization.

Credentials:
  • Certified Machine Learning, Professional ML Engineer, AI Governance, or equivalent AI certification is preferred.
Education or Equivalent Experience:
  • Bachelor's Degree is required.
  • 10+ years Information Technology (IT) experience, with 7+ years Enterprise Architecture is required.
  • 3+ years AI and Agentic AI Architecture is required.

We believe that the best care for our patients starts with the best care for our employees. Our employee benefits programs help our employees get healthy and stay healthy. We offer a comprehensive compensation and benefits program that includes one of the finest prepaid tuition assistance programs in the region. Penn Medicine employees are actively engaged and committed to our mission. Together we will continue to make medical advances that help people live longer, healthier lives.
Live Your Life's Work
We are an Equal Opportunity employer. Candidates are considered for employment without regard to race, ethnicity, color, sex, sexual orientation, gender identity, religion, national origin, ancestry, age, disability, marital status, familial status, genetic information, domestic or sexual violence victim status, citizenship status, military status, status as a protected veteran or any other status protected by applicable law.

Apply