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

Crowe LLP

Cyber AI Security Manager

Atlanta, GA · On-site +1

$106K - $144K/yr

We offer unlimited PTO, a flexible remote work policy, and a supportive environment that prioritizes sustainable, long-term performance. About the Role The Cyber AI Security Manager sits at the ...

micro1 AI

Technology Transactions Counsel

South Fulton, GA · On-site +1

$350K - $410K/hr

Remote (opportunity to work from our SF office) The Role We are looking for a high-potential ... Identify opportunities to streamline legal operations through AI-enabled contract review, intake ...

micro1 AI

Technology Transactions Counsel

Atlanta, GA · On-site +1

$350K - $410K/hr

Remote (opportunity to work from our SF office) The Role We are looking for a high-potential ... Identify opportunities to streamline legal operations through AI-enabled contract review, intake ...

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

Remote Ai Policy information

See Decatur, GA salary details

$67.9K

$121.9K

$167.4K

How much do remote ai policy jobs pay per year?

As of Sep 6, 2026, the average yearly pay for remote ai policy in Decatur, GA is $121,878.00, according to ZipRecruiter salary data. Most workers in this role earn between $96,700.00 and $147,900.00 per year, depending on experience, location, and employer.

What is a remote AI policy?

A Remote AI Policy job involves working from a location outside of a traditional office to develop, analyze, and implement policies related to artificial intelligence. Professionals in this role research AI technologies, assess their societal impacts, and help organizations or governments create guidelines that promote ethical and responsible AI use. They often collaborate with legal experts, technologists, and stakeholders to ensure AI systems are fair, transparent, and compliant with regulations. Remote AI Policy specialists may also monitor global AI policy trends and advise on best practices for AI governance.

What skills and qualifications are needed for a remote AI policy role?

To thrive as a Remote AI Policy Specialist, you need a solid background in public policy, law, or technology, often supported by a relevant degree and experience in regulatory or ethical issues related to AI. Familiarity with policy analysis tools, legal research databases, and AI governance frameworks is typically required. Strong analytical thinking, clear written communication, and the ability to collaborate across virtual teams are crucial soft skills. These competencies are essential for shaping responsible AI policies, ensuring legal compliance, and effectively addressing emerging ethical challenges in a dynamic, remote environment.

What are common challenges in remote AI policy roles and how can they be addressed?

Professionals in remote AI policy roles often encounter challenges such as staying up-to-date with rapidly evolving regulations, maintaining effective communication across time zones, and building consensus among diverse stakeholders. To address these challenges, it’s important to engage in continuous learning through industry webinars and publications, utilize collaborative tools for real-time policy development, and schedule regular virtual meetings to foster strong relationships with colleagues and partners. Proactively seeking feedback and participating in cross-functional discussions can also help ensure alignment and drive impactful policy outcomes.

What is the difference between Remote Ai Policy vs Remote Ai Engineer?

AspectRemote Ai PolicyRemote Ai Engineer
Required CredentialsPolicy or legal background, AI ethics knowledgeComputer science, programming, AI/machine learning skills
Work EnvironmentRemote, policy development teams, legal departmentsRemote, technical teams, development environments
Employer & Industry UsageTech companies, legal firms, AI ethics organizationsTech companies, startups, AI research labs
Common Search & ComparisonYesNo

Remote Ai Policy focuses on creating guidelines and ensuring ethical use of AI, requiring legal and policy expertise. Remote Ai Engineers develop AI models and algorithms, needing technical and programming skills. While both roles work remotely in tech environments, their core responsibilities and credentials differ significantly.

What are the most commonly searched types of Ai Policy jobs in Decatur, GA?

The most popular types of Ai Policy jobs in Decatur, GA are:

What are popular job titles related to Remote Ai Policy jobs in Decatur, GA?

For Remote Ai Policy jobs in Decatur, GA, the most frequently searched job titles are:

What job categories do people searching Remote Ai Policy jobs in Decatur, GA look for?

The top searched job categories for Remote Ai Policy jobs in Decatur, GA are:

What cities near Decatur, GA are hiring for Remote Ai Policy jobs?

Cities near Decatur, GA with the most Remote Ai Policy job openings:

Remote Ai Policy jobs near you

Lead Agile Coach - AI PDLC Specialist

Purple Hires Inc

Atlanta, GA • Remote

Full-time

Re-posted 9 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