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Ai Risk Manager Jobs in Connecticut (NOW HIRING)

DFO Referrals

AI Governance Engineer

Westport, CT · Hybrid

Develop and manage the AI Secure Software Development Lifecycle (AI-SSDLC), including governance controls and an enterprise agent registry. * Lead AI threat modeling, risk assessments, red team ...

DFO Referrals

AI Governance Engineer

Westport, CT · On-site

Develop and manage the AI Secure Software Development Lifecycle (AI-SSDLC), including governance controls and an enterprise agent registry. * Lead AI threat modeling, risk assessments, red team ...

Kemper

SVP, Chief Technology Officer (CTO)

Hartford, CT · On-site +1

Establish Responsible AI governance, model lifecycle management, and AI risk management. * Create repeatable frameworks for identifying, prioritizing, implementing, and scaling AI use cases across ...

FAVARH

AI Security Architect

Hartford, CT · On-site

$65.50 - $84.75/hr

Establish AI security governance frameworks, guardrails, and risk management practices aligned with enterprise security architecture and compliance requirements * Ensure secure use of generative AI ...

The Hartford

AVP Applied AI

Hartford, CT · On-site +1

Ensure evaluation results inform prioritization, release decisions, and risk management at the ... Accountable for portfolio-level AI governance ensuring alignment with Legal, Compliance, Model Risk ...

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Ai Risk Manager information

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

AspectAi Risk ManagerData Scientist
Required CredentialsTypically requires a degree in risk management, AI, or related fields; certifications in AI or risk management are commonRequires a degree in computer science, statistics, or related fields; certifications in data analysis or machine learning are common
Work EnvironmentWorks in financial, insurance, or tech industries focusing on AI risk assessment and mitigationWorks across industries analyzing data, building models, and deriving insights
Employer & Industry UsageUsed by organizations managing AI deployment risks, especially in regulated sectorsUsed by companies developing AI solutions, data-driven products, and analytics teams

The main difference is that an Ai Risk Manager focuses on identifying and mitigating risks associated with AI systems, often requiring knowledge of risk management and AI ethics. In contrast, a Data Scientist primarily analyzes data and builds models to extract insights, with less emphasis on risk mitigation. Both roles may overlap in AI projects but serve distinct functions within organizations.

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For Ai Risk Manager jobs in Connecticut, the most frequently searched job titles are:

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The top searched job categories for Ai Risk Manager jobs in Connecticut are:

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Ai Risk Manager jobs near you
Infographic showing various Ai Risk Manager job openings in Connecticut as of August 2026, with employment types broken down into 84% Full Time, 11% Part Time, 2% Temporary, and 3% Contract. Highlights an 81% Physical, 2% Hybrid, and 17% Remote job distribution.

AI Governance Engineer

Dalio Family Office

Westport, CT • On-site

Full-time

Dental, Vision, Life, Retirement, PTO

Posted 14 days ago

Job description

AI Governance Engineer
Dalio Family Office Overview:
The Dalio Family Office (DFO) supports Barbara and Ray Dalio and their family in their ventures, investments, and philanthropic efforts under Dalio Philanthropies, which includes OceanX, Dalio Education, Endless Network, and the Beijing Dalio Foundation. The core of the DFO's culture is built around meaningful work and meaningful relationships and the family's commitment to giving back. The office is headquartered in Westport, CT with regional offices in New York City, Singapore, and Abu Dhabi.
Position Summary:
This AI Governance Analyst / Engineer will build and operate the program that lets the organization adopt agentic AI aggressively, and safely. You will author the AI-SSDLC, gate agents before production, own the organization's AI threat model, and hunt for risky or misaligned behavior before it becomes an incident. The role works across IT, Compliance, Legal, and every business unit building or consuming AI tools, and serves as the primary SME on Agentic AI security for senior leadership and the board.
Day-to-day responsibilities would include a combination of the following:
  • Develop and manage the AI Secure Software Development Lifecycle (AI-SSDLC), including governance controls and an enterprise agent registry.
  • Lead AI threat modeling, risk assessments, red team exercises, and security reviews for AI agents and platforms.
  • Monitor AI systems for security, compliance, and behavioral risks; enforce governance standards and executive reporting.
  • Partner with Legal, Privacy, Compliance, and Security teams to align AI programs with regulatory and industry frameworks.
  • Drive automation, process scalability, and reporting dashboards to improve governance efficiency and risk management.

The ideal candidate will possess the following knowledge, skills, attributes, and values:
  • Integrity and sound judgment in balancing AI innovation with risk management.
  • Expertise in AI governance, AI-SSDLC, and enterprise risk frameworks.
  • Strong knowledge of AI security, threat modeling, red teaming, and agentic AI architectures.
  • Ability to influence and collaborate across IT, Legal, Compliance, Privacy, and business teams.
  • Proven capability to design scalable governance processes, controls, and automation.
  • Executive-level communication skills with the ability to present complex AI risks and strategies to senior leadership and the board.

Illustrative Benefits:
  • 100% company paid medical premiums
  • 17 company paid holidays
  • Friday summer hours
  • Monthly community happy hours
  • Hybrid work environment
  • Free catered food services for in-office days
  • Generous PTO offering
  • Casual dress code
  • 150% 401(k) match up to $7,500 and 100% match above $7,500 ($15k match limit)
  • Gym reimbursement, back up childcare services, insurance, financial, and legal services, and much more!

Qualifications:
  • Bachelor's Degree or Diploma in Information Security, Risk Management, Computer Science, or a related field.
  • 5+ years of experience in information security, IT governance, risk management, compliance, or software engineering, including 2+ years of hands-on enterprise AI/automation experience.
  • Knowledge of AI in Power Automate, including AI Builder, agentic workflows, connector permissions, and audit logging.
  • Strong understanding of Model Context Protocol (MCP), trust boundaries, tool scoping, and AI agent security.
  • Expertise with Microsoft Purview, including DSPM for AI, DLP, sensitivity labels, audit logging, insider risk.
  • Experience with OWASP, STRIDE, PASTA, NIST, AI RMF, ISO/IEC
  • Ability to develop scripts or low code solutions; Python, Powershell, or Power Platform and analyze security logs
  • Approximately 10% travel required both domestically and internationally

Compensation:
Compensation for the role includes a competitive salary in the range from $175,000 -$260,000 (inclusive of a merit-based bonus, dependent on years of experience, level of education obtained, as well as applicable skillset) and an excellent benefits package, including paid time off ranging from 15 to 25 days based on years of service, paid sick and safe leave, dental, vision, life and disability insurance, paid parental time off, birth mother recovery pay, sick family member pay, parental ramp back up program, gym reimbursement and generous employer match for 401k.
Please note we are unable to provide immigration sponsorship for this position.
At the DFO, we believe our biggest asset is our people. We are proud to be an equal opportunity employer, hiring and developing individuals from diverse backgrounds and experiences to add to our collaborative culture. The DFO treats all candidates and employees with respect and does not discriminate in our recruiting, hiring, and promoting processes and general treatment during employment, including on the basis of actual or perceived race, creed, color, religion, sex, age, sexual orientation, gender identity and/or expression, alienage or national origin, ancestry, citizenship status, marital status, veteran status, or disability.

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