Today’s List at a Glance
A hand-picked list of top-tier roles for ambitious professionals. Here’s the breakdown:
- 💰 Salary Range: $100,000 – $380,000
- 🏢 Top Companies Hiring: Google, Anthropic, Accenture
- 📍 Geographic Spread: 7 remote or remote/hybrid positions, with on-site roles in hubs like Mountain View, New York City, Seattle, and Washington, DC.
- 🪜 Seniority Level: Focus on senior and leadership roles — Senior, Principal, Director, and executive-level opportunities dominate the list.
Featured Responsible AI & Ethics Roles
Generative AI Applications Engineer (Agents & RAG) at Accenture Federal Services
📍 Location: Remote (Washington, DC)
💰 Salary: $103,200 – $203,400 a year
Why it’s a great opportunity: Production-facing GenAI role with explicit Responsible AI duties (guardrails, evaluation, governance) and a remote federal-focused environment ideal for ethics consultants.
Product, IP, and AI Counsel at Accenture Federal Services
📍 Location: Remote (Arlington, VA)
💰 Salary: $131,200 – $276,800 a year
Why it’s a great opportunity: High‑paying remote AI legal counsel role focused on product/IP and AI policy—perfect for ethics consultants bridging technical governance and legal compliance.
AI Governance Advisor at Credo AI
📍 Location: US-Anywhere (Remote)
💰 Salary: $160,000 – $180,000
Why it’s a great opportunity: A remote, governance-first advisory position at a leading responsible‑AI tooling company—directly tailored for AI ethics consultants advising enterprise programs.
Applied AI Developer (Remote) at CrowdStrike
📍 Location: US-Anywhere (Remote)
💰 Salary: $125,000 – $180,000
Why it’s a great opportunity: Remote role building applied AI with enterprise controls—offers hands-on system work plus the chance to embed safety and ethics in product pipelines.
Our AI Resume Optimizer can help you tailor your resume’s content, section by section, for each of these specific roles.
Senior Consultant, Anthropic AI at Anthropic
📍 Location: US-Anywhere (Remote)
💰 Salary: $120,000 – $150,000
Why it’s a great opportunity: Remote consultant role working with Anthropic tech and partners—excellent for ethics consultants focused on safe, aligned AI deployments and governance.
Technical AI Consultant at EPAM
📍 Location: US-Anywhere (Remote)
💰 Salary: $100,000 – $150,000
Why it’s a great opportunity: Remote technical consulting role that couples AI engineering with client-facing governance responsibilities—suitable for consultants specializing in responsible AI implementations.
Senior Director, AI/ML Applied Science – Remote at Optum
📍 Location: Hybrid/Remote (Eden Prairie, MN)
💰 Salary: $159,300 – $273,200 a year
Why it’s a great opportunity: Executive remote/hybrid AI leadership role with large scope for governing model deployment and safety at scale—great for senior ethics consultants transitioning into program leadership.
Principal Analyst, Responsible AI Strategy at Google
📍 Location: Washington, DC
💰 Salary: $171,000 – $248,000
Why it’s a great opportunity: High‑impact, well‑paid role focused on responsible AI strategy at Google—ideal for experienced ethics consultants seeking policy/strategy influence.
Senior Principal Analyst, Responsible AI Strategy at Google
📍 Location: Mountain View, CA
💰 Salary: $219,000 – $305,000
Why it’s a great opportunity: Top‑tier compensation for a senior responsible‑AI strategist role at Google, offering the chance to shape ethics and safety across global products.
Global Leader, Applied AI Architects, Beneficial Deployments at Anthropic
📍 Location: New York City, NY
💰 Salary: $315,000 – $380,000
Why it’s a great opportunity: High‑level leadership role combining applied AI architecture and beneficial deployment strategy—excellent for senior ethics consultants influencing product safety and societal impact.
AIML – ML Engineer, Responsible AI at Apple
📍 Location: Seattle, WA
💰 Salary: $120,000 – $160,000
Why it’s a great opportunity: Strong engineering role explicitly focused on Responsible AI at Apple with competitive pay—good fit for ethics consultants with ML backgrounds looking to operationalize ethics.
Strategic Playbook for Landing These Roles
Profile of an Ideal Candidate
- Core Responsibility: Design, deploy, and govern AI systems—especially LLMs and RAG pipelines—so they operate safely, reliably, and in compliance with product, legal, and public‑sector requirements.
- Essential Experience: A strong blend of applied ML/AI engineering (hands‑on with models, RAG, and MLOps) plus governance or policy experience—many roles seek candidates who can bridge technical and compliance teams.
- Key Competencies: Beyond technical prowess, these roles demand exceptional cross‑functional leadership, stakeholder communication, risk assessment, and the ability to translate ethics into operational controls and metrics.
The Resume Blueprint: Keywords & Metrics
Keywords to Target:
AI Governance
RAG / Retrieval-Augmented Generation
MLOps / Productionization
Model Evaluation & Monitoring
Metrics that Matter:
✅ Reduced safety incidents by 40% after deploying model-level guardrails and an automated evaluation suite that flagged risky outputs before release.
✅ Delivered a RAG assistant supporting 100K+ monthly users with a 20% improvement in task completion and a measurable drop in escalation rates to human teams.
✅ Established a Responsible AI governance program in 3 months, onboarding 5 product teams and cutting policy exceptions by 70% through standardized review templates and automated checks.
Nailing the Narrative: Your Interview Strategy
Be prepared to answer tough, strategic questions. Here are some specific examples:
“Describe a time you operationalized an AI governance framework across multiple teams. What trade-offs did you make, and how did you measure success?”
“Walk us through a retrieval-augmented generation (RAG) system you built: architecture choices, safety controls, and how you validated correctness under production load.”
“How do you define and monitor model risk in production? Give concrete metrics and an example where monitoring prevented a major issue.”
Put Your Playbook into Action
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