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Remote Ai Governance Jobs in Decatur, GA (NOW HIRING)

Synch-Solutions

AI Consultant

Atlanta, GA · Remote

$75 - $80/hr

We have a JOB FOR YOU!!! 100% Remote. We are looking for an AI consultant to join our innovative ... of AI governance, ethics, regulatory compliance, and security protocols Preferred Skills: · ...

Ethos Risk Services

Senior Product Manager

Atlanta, GA · Remote

$150K - $200K/yr

Support AI Governance & Compliance - Help maintain explainable AI practices, documentation, and ... This position operates in a remote environment with frequent use of computers and office equipment.

Ethos Risk Services

Senior Product Manager

Atlanta, GA · On-site +1

$121K - $160K/yr

Support AI Governance & Compliance - Help maintain explainable AI practices, documentation, and ... This position operates in a remote environment with frequent use of computers and office equipment.

Ethos Risk Services

Senior Product Manager

Atlanta, GA · On-site +1

$121K - $160K/yr

Support AI Governance & Compliance - Help maintain explainable AI practices, documentation, and ... This position operates in a remote environment with frequent use of computers and office equipment.

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All JobsAi Governance JobsRemote Ai Governance JobsRemote Ai Governance Jobs in Decatur, GA

Remote Ai Governance information

See Decatur, GA salary details

$25

$66

$81

How much do remote ai governance jobs pay per hour?

As of Jul 10, 2026, the average hourly pay for remote ai governance in Decatur, GA is $66.25, according to ZipRecruiter salary data. Most workers in this role earn between $65.72 and $78.61 per hour, depending on experience, location, and employer.

What are some common challenges faced by professionals in remote AI governance roles, and how can they be addressed?

Remote AI governance professionals often face challenges such as coordinating with cross-functional teams across different time zones, ensuring clear communication on complex ethical standards, and staying updated on evolving regulations. To address these, it's helpful to establish regular check-ins, use collaborative tools for documentation and decision-making, and participate in ongoing training or industry forums. Proactively building relationships with legal, technical, and business stakeholders also helps in aligning governance policies and ensuring responsible AI deployment.

What are the key skills and qualifications needed to thrive as a Remote AI Governance professional, and why are they important?

To thrive as a Remote AI Governance professional, you need a solid understanding of AI ethics, regulatory frameworks, risk management, and data privacy, often supported by degrees in law, computer science, or data governance. Familiarity with tools such as AI auditing platforms, compliance management systems, and certifications like CIPP or ISO/IEC 27001 is highly valuable. Strong analytical thinking, effective communication, and the ability to collaborate across technical and non-technical teams set top candidates apart. These competencies are crucial to ensure responsible AI deployment, regulatory compliance, and organizational trust in remote work environments.

What is a $900000 AI job?

A $900,000 AI job typically refers to a high-level position in artificial intelligence, such as AI executive roles, senior data scientists, or AI research directors, often requiring advanced skills in machine learning, deep learning, and leadership. These roles usually involve strategic decision-making, overseeing AI projects, and may require certifications or extensive experience in AI development and governance.

Is AI governance a good career?

AI governance is a growing field focused on ensuring ethical and responsible use of artificial intelligence, often requiring knowledge of AI systems, policy, and compliance. Careers in this area can be rewarding for those interested in technology, ethics, and regulation, with opportunities across industries and organizations. Strong analytical skills and understanding of AI tools are beneficial for success in this role.

How much do AI governance professionals make?

AI governance professionals typically earn between $80,000 and $150,000 annually, depending on experience, location, and organization size. Senior roles or those with specialized skills in compliance, policy, and AI ethics can command higher salaries, often exceeding $150,000.

What is Remote AI Governance?

Remote AI Governance refers to the frameworks, policies, and processes used to oversee and ensure the responsible development, deployment, and monitoring of artificial intelligence systems from a remote or distributed setting. Professionals in this field work to guarantee that AI technologies adhere to ethical, legal, and organizational standards, even when teams are not physically co-located. This role often involves risk assessment, compliance monitoring, and the creation of guidelines to ensure transparency, fairness, and accountability in AI systems.

What remote jobs can I do with AI?

Remote AI governance roles include positions such as AI policy analyst, ethical AI consultant, and compliance manager, focusing on ensuring AI systems adhere to ethical standards and regulations. These jobs often require skills in AI technologies, data analysis, and understanding of legal or ethical frameworks, and can be performed using collaboration tools and cloud platforms. They typically involve remote communication, documentation, and policy development tasks.

What is the difference between Remote Ai Governance vs Remote AI Ethics Specialist?

AspectRemote Ai GovernanceRemote AI Ethics Specialist
Required CredentialsAI, data science, or policy certifications; knowledge of AI regulationsEthics, philosophy, or law certifications; understanding of AI impact
Work EnvironmentCross-functional teams, policy development, compliance oversightResearch, policy advising, ethical review panels
Employer & Industry UsageTech companies, AI startups, regulatory agenciesResearch institutions, tech firms, consulting firms
Search & Comparison IntentUnderstanding governance roles in AI developmentExploring ethical considerations in AI deployment

Remote Ai Governance focuses on establishing policies, compliance, and oversight for AI systems, ensuring they meet legal and ethical standards. Remote AI Ethics Specialists primarily analyze ethical implications, advise on responsible AI use, and address societal impacts. While both roles involve AI and ethics, governance emphasizes policy enforcement, whereas ethics specialists focus on moral considerations and ethical frameworks.

What are the most commonly searched types of Ai Governance jobs in Decatur, GA? The most popular types of Ai Governance jobs in Decatur, GA are:
What are popular job titles related to Remote Ai Governance jobs in Decatur, GA? For Remote Ai Governance jobs in Decatur, GA, the most frequently searched job titles are:
What job categories do people searching Remote Ai Governance jobs in Decatur, GA look for? The top searched job categories for Remote Ai Governance jobs in Decatur, GA are:
What cities near Decatur, GA are hiring for Remote Ai Governance jobs? Cities near Decatur, GA with the most Remote Ai Governance job openings:
Remote Ai Governance jobs near you
Infographic showing various Remote Ai Governance job openings in Decatur, GA as of July 2026, with employment types broken down into 73% Full Time, 22% Part Time, 1% Temporary, and 4% Contract. Highlights an 66% Physical, 2% Hybrid, and 32% Remote job distribution, with an average salary of $137,799 per year, or $66.2 per hour.

Lead Agile Coach - AI PDLC Specialist

Purple Hires Inc

Atlanta, GA • Remote

Full-time

Posted 10 days ago

Job description

Role: Lead Agile Coach – AI PDLC Specialist

Location: United States or Canada (Remote)
Employment Type: Full-Time
 
Below is the detailed job description for your reference -
 

Job Description: 

About the Role
We are seeking a highly experienced Lead Agile Coach – AI PDLC Specialist to lead enterprise-scale Agile transformations while driving the adoption of AI-enabled Product Development Lifecycle (PDLC) practices.
This is a strategic leadership role requiring deep expertise in Scaled Agile (SAFe), Agile coaching, AI governance, AI operating models, and enterprise AI transformation. The ideal candidate has successfully implemented Agile frameworks across large organizations and has hands-on experience designing AI governance frameworks, AI PDLC playbooks, and AI-powered delivery models.
Candidates must demonstrate practical implementation experience—not just certifications or advisory experience.
Key Responsibilities

  • Lead enterprise Agile transformations across Team, ART, and Portfolio levels.

  • Implement and coach Agile frameworks including:

    • SAFe 5/6

    • Scrum

    • Kanban

    • Lean

    • Nexus

    • Scrum@Scale

    • Spotify Model

  • Design and launch Agile Release Trains (ARTs), conduct Value Stream Mapping, and facilitate PI Planning.

  • Drive Agile maturity through coaching, continuous improvement, Lean Portfolio Management, and delivery metrics.

  • Independently manage complex AI PDLC programs, risks, dependencies, governance, and executive reporting.

  • Develop AI Governance Frameworks, Responsible AI policies, AI Operating Models, and AI Governance Playbooks.

  • Partner with Legal, Risk, Compliance, Security, and Data Governance teams to ensure responsible AI adoption.

  • Design and enable enterprise AI Agents supporting:

    • Product Discovery

    • Backlog Management

    • Story Decomposition

    • Sprint & PI Planning

    • Dependency Management

    • Flow Metrics & OKRs

    • Continuous Improvement

  • Coach Product Managers, Product Owners, Scrum Masters, RTEs, and executive leadership on AI-enabled Agile delivery.

  • Deliver Agile and AI training programs, workshops, Communities of Practice (CoPs), and executive coaching sessions.

  • Act as a trusted advisor to business and technology leadership.

Required Technical Skills
Agile & Scaled Agile

  • 10+ years in Technology

  • 7+ years as a Senior/Lead Agile Coach

  • Strong hands-on SAFe implementation experience

  • SAFe Roadmap implementation

  • Value Stream Mapping

  • ART Design & Launch

  • PI Planning

  • Lean Portfolio Management

  • Business Agility

  • Agile Metrics & Continuous Improvement

AI PDLC & Governance

  • AI Product Development Lifecycle (PDLC)

  • AI Governance Frameworks

  • Responsible AI

  • AI Operating Models

  • AI Governance Playbooks

  • AI Risk Management

  • Human-in-the-Loop (HITL)

  • Model Risk Registers

  • AI Ethics & Compliance

  • Business Agility Dashboards

AI Agent Technologies
Experience working with:

  • LangChain

  • LangGraph

  • CrewAI

  • AutoGen

  • Azure OpenAI

  • AWS Bedrock

  • Google Vertex AI

  • Retrieval-Augmented Generation (RAG)

  • Multi-Agent Architectures

  • Prompt Engineering

  • AI Observability

  • AI Guardrails

Agile Tooling

  • Jira

  • Azure DevOps

  • Big Picture

  • Agile Central

  • Confluence

  • ProductBoard

Preferred Certifications

  • SAFe Program Consultant (SPC 6.0 Preferred)

  • SAFe SPC 5.0

  • PMI-ACP

  • PSM I / PSM II

Certifications are preferred; however, demonstrated hands-on implementation experience is significantly more important.
 
Required Experience

  • 10+ years in software delivery or technology.

  • 7+ years leading Agile transformations.

  • Proven experience implementing SAFe at enterprise scale.

  • Hands-on experience leading AI PDLC initiatives.

  • Experience developing AI Governance Frameworks and AI Operating Models.

  • Experience coaching executive leadership.

  • Strong background managing enterprise AI transformation programs.

  • Demonstrated success leading multiple Agile Release Trains (ARTs).

  • Experience building scalable AI-enabled delivery practices.

Leadership & Soft Skills

  • Executive stakeholder management

  • Servant leadership

  • Strong facilitation and coaching skills

  • Excellent communication and presentation abilities

  • Strategic thinking and decision-making

  • Design Thinking mindset

  • Organizational change management

  • Conflict resolution

  • Self-directed leadership

  • Analytical and problem-solving skills

  • Ability to influence senior leadership and drive enterprise-wide adoption