The Role
SoftSnow is seeking an AI Ethicist to define ethical guidelines, assess risks, and ensure compliance in AI implementations across various industries.
Summary Generated by Built In
This is a remote position.
SoftSnow is an AI consulting company. Our mission is to empower businesses to navigate the complexities of AI adoption and accelerate their journey toward realizing its full potential. SoftSnow is the leading partner for mid-market companies, helping to strategically leverage AI to transform business operations, achieve unparalleled efficiency, and foster sustainable growth.
Position Overview
SoftSnow is looking for a thoughtful, principled, and policy-minded AI Ethicist to help shape how artificial intelligence is deployed across client environments. As part of our Responsible AI practice, the AI Ethics Officer ensures that all AI solutions reflect core ethical values — including fairness, transparency, accountability, and human oversight.
You’ll work closely with AI Analysts, Trainers, and Trust Authenticators to assess the ethical impact of AI implementations, build client-specific governance frameworks, and monitor ongoing compliance with ethical standards. This role is ideal for candidates with a background in ethics, law, or social science who are ready to apply their expertise to one of the most transformative technologies of our time.
Key Responsibilities
- Define and maintain SoftSnow’s AI ethics guidelines and frameworks tailored to client industries (e.g., healthcare, finance, public sector).
- Collaborate with client stakeholders to assess ethical risks and integrate safeguards into the design and deployment phases.
- Develop and deliver AI ethics assessments for models, use cases, and system behaviors.
- Partner with Trust Authenticators to ensure explainability, bias monitoring, and transparency across AI decision points.
- Stay abreast of global developments in AI regulation, algorithmic accountability, and human rights standards.
- Lead internal and client-facing training sessions on Responsible AI best practices.
Requirements
Education:
- Bachelor’s or Master’s degree in Ethics, Philosophy, Public Policy, Law, AI Governance, or related field.
Experience:
- 3+ years of experience in an ethics, compliance, legal, or risk role — ideally within tech or AI-focused environments.
- Familiarity with AI/ML technologies and their social implications.
- Experience working with governance boards, compliance audits, or policy development.
Knowledge, Skills & Abilities:
- Deep understanding of fairness, bias, explainability, and human-in-the-loop concepts.
- Strong analytical, decision-making, and problem-solving skills.
- Exceptional communication skills to translate ethical principles into actionable technical requirements.
- Comfort working across disciplines - from engineering to executive leadership.
- Credibility and confidence when engaging with high-stakes clients or regulated sectors.
Benefits
What We Offer:
- Comprehensive Training – Learn AI development through hands-on experience and mentorship.
- Exciting Growth Opportunities – Join a fast-growing industry with endless possibilities.
- Collaborative Environment – Work alongside top AI professionals in a supportive team.
- Innovative Work – Be part of cutting-edge AI projects that shape the future of business.
- Flexible Work Environment – Remote work opportunities with a results-driven approach.
- Competitive Benefits - Designed to focus on our team's personal, professional and financial goals.
Skills Required
- Bachelor's or Master's degree in Ethics, Philosophy, Public Policy, Law, AI Governance, or related field
- 3+ years of experience in an ethics, compliance, legal, or risk role in tech or AI environments
- Familiarity with AI/ML technologies and their social implications
- Experience working with governance boards, compliance audits, or policy development
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The Company
What We Do
SoftSnow is an AI consulting firm that helps organizations transform how work gets done using AI, by embedding with teams to build AI workflows, drive adoption, and create AI-first cultures, turning AI strategy into lasting adoption and measurable results.
