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Ai Ethics Jobs in Decatur, GA (NOW HIRING)

Apex Informatics

Senior Cloud AI Architect

GA · On-site

Experience with AI ethics, bias mitigation, and responsible AI frameworks. * Prior work with federal, state, or municipal digital transformation programs. * Certification in cloud architecture or AI ...

AIG

AI Model Validation Lead, GenAI

Atlanta, GA

$210K - $280K/yr

Certification in model risk management or AI ethics (e.g., SAS Certified AI & Machine Learning Professional). * Demonstrated ability to lead complex validation projects and mentor junior team members ...

Cox Automotive

Machine Learning Lead Engineer

Morrow, GA · On-site

$134K - $224K/yr

Knowledge of AI ethics, responsible AI practices, and governance frameworks for business-critical ML deployment. * Ability to leverage AI like Co-Pilot for technical communication to stakeholders and ...

Cox Automotive

Machine Learning Lead Engineer

Decatur, GA · On-site

$134K - $224K/yr

Knowledge of AI ethics, responsible AI practices, and governance frameworks for business-critical ML deployment. * Ability to leverage AI like Co-Pilot for technical communication to stakeholders and ...

Cox Automotive

Machine Learning Lead Engineer

Austell, GA · On-site

$134K - $224K/yr

Knowledge of AI ethics, responsible AI practices, and governance frameworks for business-critical ML deployment. * Ability to leverage AI like Co-Pilot for technical communication to stakeholders and ...

Cox Automotive

Machine Learning Lead Engineer

Decatur, GA · On-site

$134K - $224K/yr

Knowledge of AI ethics, responsible AI practices, and governance frameworks for business-critical ML deployment. * Ability to leverage AI like Co-Pilot for technical communication to stakeholders and ...

Cox Automotive

Machine Learning Lead Engineer

Decatur, GA · On-site

$134K - $224K/yr

Knowledge of AI ethics, responsible AI practices, and governance frameworks for business-critical ML deployment. * Ability to leverage AI like Co-Pilot for technical communication to stakeholders and ...

Cox Automotive

Machine Learning Lead Engineer

Mableton, GA · On-site

$134K - $224K/yr

Knowledge of AI ethics, responsible AI practices, and governance frameworks for business-critical ML deployment. * Ability to leverage AI like Co-Pilot for technical communication to stakeholders and ...

Cox Automotive

Machine Learning Lead Engineer

Decatur, GA · On-site

$134K - $224K/yr

Knowledge of AI ethics, responsible AI practices, and governance frameworks for business-critical ML deployment. * Ability to leverage AI like Co-Pilot for technical communication to stakeholders and ...

Cox Automotive

Machine Learning Lead Engineer

Hapeville, GA · On-site

$134K - $224K/yr

Knowledge of AI ethics, responsible AI practices, and governance frameworks for business-critical ML deployment. * Ability to leverage AI like Co-Pilot for technical communication to stakeholders and ...

Cox Automotive

Machine Learning Lead Engineer

Lake City, GA · On-site

$134K - $224K/yr

Knowledge of AI ethics, responsible AI practices, and governance frameworks for business-critical ML deployment. * Ability to leverage AI like Co-Pilot for technical communication to stakeholders and ...

Cox Automotive

Machine Learning Lead Engineer

Chamblee, GA · On-site

$134K - $224K/yr

Knowledge of AI ethics, responsible AI practices, and governance frameworks for business-critical ML deployment. * Ability to leverage AI like Co-Pilot for technical communication to stakeholders and ...

Cox Automotive

Machine Learning Lead Engineer

Riverdale, GA · On-site

$134K - $224K/yr

Knowledge of AI ethics, responsible AI practices, and governance frameworks for business-critical ML deployment. * Ability to leverage AI like Co-Pilot for technical communication to stakeholders and ...

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All JobsAi Ethics JobsAi Ethics Jobs in Decatur, GA

Ai Ethics information

What is an AI Ethics?

An AI Ethics job involves ensuring that artificial intelligence systems are designed and used responsibly, fairly, and transparently. Professionals in this field address issues like bias, accountability, privacy, and the societal impact of AI technologies. They may work on developing ethical guidelines, conducting audits, or advising on regulatory compliance. AI Ethics roles often require knowledge of AI technologies, philosophy, law, and policy.

What are the key skills and qualifications needed to thrive in AI Ethics, and why are they important?

To thrive in AI Ethics, you need a robust understanding of ethical theory, data science, and technology policy, often supported by degrees in philosophy, computer science, law, or related disciplines. Familiarity with AI development frameworks, compliance assessment tools, and certifications such as Certified Ethical Emerging Technologist (CEET) can be highly beneficial. Strong communication, critical thinking, and interdisciplinary collaboration skills are crucial for navigating complex ethical dilemmas and influencing diverse stakeholders. These qualities are essential for ensuring that AI systems are designed and deployed responsibly, fairly, and in alignment with societal values.

What types of cross-functional collaboration are involved in AI Ethics?

AI Ethics professionals typically work closely with data scientists, software engineers, legal teams, and product managers to integrate ethical considerations into the design and deployment of AI systems. You'll often participate in multi-disciplinary committees, contribute to the development of ethical guidelines, and provide input during project reviews or audits. Effective collaboration ensures that AI-driven solutions are both innovative and aligned with regulatory, societal, and organizational values. This cross-functional environment not only broadens your professional network but also gives you insight into how ethics shape product development and business strategy.

How do I become an AI ethics professional?

To become an AI ethics professional, individuals typically pursue a degree in fields like computer science, philosophy, or law, with a focus on ethics and technology. Gaining experience through internships, certifications in AI or data ethics, and staying informed about emerging issues in AI governance are also important steps.

Is AI ethics a good career?

AI ethics is a growing field focused on ensuring artificial intelligence systems are developed and used responsibly, often requiring knowledge of AI technologies, ethical principles, and policy considerations. Careers in AI ethics can involve roles such as ethicists, policy advisors, or compliance specialists, typically requiring strong analytical skills and familiarity with AI tools and frameworks.

What jobs are available in AI ethics?

Jobs in AI ethics include roles such as AI Ethics Officer, AI Policy Analyst, Responsible AI Developer, and AI Governance Specialist. These positions typically require knowledge of AI technologies, ethical frameworks, and sometimes certifications in ethics or AI safety, and involve developing guidelines, ensuring compliance, and addressing societal impacts of AI systems.

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

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

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

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

Ai Ethics jobs near you
Infographic showing various Ai Ethics job openings in Decatur, GA as of August 2026, with employment types broken down into 74% Full Time, 23% Part Time, and 3% Contract. Highlights an 63% Physical, 4% Hybrid, and 33% Remote job distribution.

Senior Cloud AI Architect

Apex Informatics

GA • On-site

Other

This job post has expired today. Applications are no longer accepted.

Job description

MUST be local to Metro Atlanta
JOB SUMMARY:
The Senior Cloud and AI Architect is an experienced, advanced-level professional responsible for creating the design and implementation of secure, scalable, and ethical AI solutions to support government and public service missions. This role combines deep AI/ML expertise with architectural leadership to modernize public sector operations, improve citizen engagement, and drive data-informed decision-making - all while maintaining compliance, transparency, and trust.
This position requires advanced skills in multiple areas of architecture, with expert or specialized knowledge in cloud platforms and AI. The architect will communicate with stakeholders at all levels, support multiple teams and projects, and mentor other architects. A key responsibility is to work with GTA to design, develop, and implement IT architecture, AWS cloud implementations, and advanced AI/ML solutions across State Agencies.
Key Responsibilities
  • Plans and schedules team resources, status reporting and completion of required documentation for team assignment and projects.
  • Analyzes and develops work or project plans for team assignments.
  • Analyzes and implements solutions.
  • Supervises subordinates.
  • Work with GTA to design, develop, and implement IT architecture, AWS cloud implementations, and advanced AI/ML solutions across State Agencies.
  • Communicate with stakeholders at all levels.
  • Support multiple teams and projects.
  • Mentor other architects.
  • Create the design and implementation of secure, scalable, and ethical AI solutions to support government and public service missions.
  • Modernize public sector operations, improve citizen engagement, and drive data-informed decision-making while maintaining compliance, transparency, and trust.

Required Qualifications
Core Qualifications
  • 10+ years of overall experience, including a minimum of 5 years of enterprise, full-life cycle architecture experience in the professional IT/Software Development services industry.
  • 5-8 years of hands-on technical application architecture experience, including application build and modernization.
  • Extensive experience architecting, designing, and programming applications to operate in AWS environments.
  • Experience in developing solutions architecture and evaluating architectural alternatives for private, public, and hybrid cloud models (IaaS, PaaS, and other cloud services).
  • Proven experience in designing and implementing secure, scalable, and ethical AI/ML solutions, leveraging public cloud or hybrid environments.
  • Strong technical expertise in machine learning, deep learning, and natural language processing.
  • Evaluate and recommend AI platforms, frameworks, and tools (e.g., Azure ML, AWS SageMaker, Google Vertex AI, PyTorch).
  • Design secure and compliant AI/ML solutions leveraging public cloud or hybrid environments.

Minimum Qualifications
Must meet one of the following requirements:
  • Bachelor's degree in Information Technology, Computer Science, Data Science, or an equivalent work experience.
  • At least 5 years of progressive experience with the concepts, philosophies, and tools behind the design of applications, solution architecture, and underlying information technologies on AWS/Public Cloud and AI/ML platforms.

Preferred Qualifications
(Preference will be given to candidates who demonstrate some or all of the following skills/experience)
  • AWS Certified Solutions Architect.
  • Experience with state and local Government is a plus.
  • Enterprise-wide integration experience for both cloud and AI solutions.
  • Experience with cutting-edge AI technologies in developing chatbots and generative AI (GenAI) and LLM deployment for public sector use cases.
  • Knowledge of integration standards and best practices for cloud and AI systems.
  • Understanding of public sector security and compliance standards (e.g., FedRAMP, FISMA, NIST AI RMF, NIST 800-53).
  • Experience with AI ethics, bias mitigation, and responsible AI frameworks.
  • Prior work with federal, state, or municipal digital transformation programs.
  • Certification in cloud architecture or AI specialties (AWS, Azure, or GCP).

Work Environment
  • Onsite
  • MUST be local to Metro Atlanta

Education/Experience
  • Bachelor's degree in Information Technology, Computer Science, Data Science, or an equivalent work experience.
  • 10+ years overall experience.
  • Minimum 5 years enterprise, full-life cycle architecture experience.
  • 5-8 years hands-on technical application architecture experience.
  • Extensive AWS architecture experience.
  • AI/ML architecture and cloud implementation experience.

Skill Matrix
Skill
Required / Desired
Years of Experience
Response
Experience with the concepts, philosophies, and tools behind the design of applications, solution architecture, and underlying information technologies
Required
10 Years
Enterprise, full-life cycle architecture experience in the professional IT/Software Development services industry
Required
5 Years
Hands-on technical application architecture experience, including application build and modernization
Required
5 Years
Evaluating architectural alternatives for private, public, and hybrid cloud models (IaaS, PaaS, and other cloud services)
Required
5 Years
Experience with cutting-edge AI technologies in developing chatbots and generative AI (GenAI) and LLM deployment for public sector use cases
Required
3 Years
Experience with AI ethics, bias mitigation, and responsible AI frameworks
Required
3 Years
AI platforms, frameworks, and tools (e.g., Azure ML, AWS SageMaker, Google Vertex AI, PyTorch)
Required
3 Years
Design secure and compliant AI/ML solutions leveraging public cloud or hybrid environments
Required
3 Years
AWS Certified Solutions Architect (PLS UPLOAD CERTIFICATION)
Required
Bachelor's degree in Information Technology, Computer Science, Data Science, or an equivalent work experience
Required
Experience with State and Local Government
Highly Desired
Certification in cloud architecture or AI specialties (AWS, Azure, or GCP) (PLS UPLOAD CERTIFICATION)
Highly Desired
Compliance Requirements / Client Questions
Question
Description
Response
Question 1
Absences greater than two weeks MUST be approved by CAI management in advance, and contact information must be provided to CAI so that the resource can be reached during his or her absence. The Client has the right to dismiss the resource if he or she does not return to work by the agreed upon date. Do you agree to this requirement?
Question 2
What is your candidate's email address?
Question 3
If selected for engagement, your candidate's hourly Pay Rate must be at least $74.51. Your candidate can be paid more; however, the hourly SRP Rate cannot exceed $100.58. Do you agree to these requirements?
Question 4
The maximum mark-up for this engagement's SRP rate is 35%. To be competitive on pricing, a mark-up below the 35% threshold is suggested. Do you agree to propose a mark-up at or below 35%?
Question 5
This assignment is contingent upon customer renewal and availability of adequate funding. Do you agree to this requirement?
Question 6
If selected for engagement, your candidate will be expected to start no later than 2 weeks (10 business days) after the client's selection date. Do you agree to this requirement?
Question 7
HYBRID work option: However, the selected candidate must be available to report onsite as directed by the client. Do you accept this requirement?
Question 8
Candidates MUST be local to Atlanta to begin and continue this assignment. Do you and your candidate accept this requirement?
Question 9
List the City and State where your candidate currently resides.

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