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Level Ai Jobs in Georgia (NOW HIRING)

Principal AI Security Architect

Atlanta, GA · Hybrid

  • Medical

  • Life

  • Retirement

  • PTO

We are seeking a principal-level AI Security Architect to define our enterprise AI/ML security architecture across data, model, and infrastructure layers. The individual will partner with AI COE ...

Own a multi-level AI training curriculum spanning foundational to advanced skills across the firm's tool portfolio (e.g., ChatGPT Enterprise, Microsoft Copilot, Claude). Design, facilitate, and ...

Director Engineering - Embedded Software

Atlanta, GA · On-site

$126K - $166K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

In this role, you will impact the success of AI-enabled technology solutions by delivering scalable embedded software capabilities, optimizing AI workloads for device-level execution, and supporting ...

Director Engineering - Embedded Software

Atlanta, GA · Hybrid

$126K - $166K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

In this role, you will impact the success of AI-enabled technology solutions by delivering scalable embedded software capabilities, optimizing AI workloads for device-level execution, and supporting ...

Director Engineering - Embedded Software

Atlanta, GA · Hybrid

$126K - $166K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

In this role, you will impact the success of AI-enabled technology solutions by delivering scalable embedded software capabilities, optimizing AI workloads for device-level execution, and supporting ...

Head of Architecture & Platform Engineering

Atlanta, GA · On-site

$173K - $223K/yr

  • Medical

  • Life

  • Retirement

  • PTO

Partner with central teams to enforce security, resilience, and compliance at the platform level. AI Enablement * Collaborate with the chief AI officer team and lead the definition of the framework ...

Head of Architecture & Platform Engineering

Atlanta, GA · On-site

$180 - $240/hr

  • Medical

  • Life

  • Retirement

  • PTO

Partner with central teams to enforce security, resilience, and compliance at the platform level.AI EnablementCollaborate with the chief AI officer team and lead the definition of the framework and ...

AI Governance & Emerging Technology • Lead enterprise and product-level AI governance initiatives. • Develop, implement, and maintain AI policies, standards, and governance frameworks. • Manage ...

Director Product Counsel

Atlanta, GA · On-site

$180 - $280/hr

AI Governance & Emerging Technology · Lead enterprise and product-level AI governance initiatives. · Develop, implement, and maintain AI policies, standards, and governance frameworks. · Manage ...

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

Participate in an AI governance framework addressing model risk, bias, explainability, clinical safety, and compliance with evolving healthcare AI regulations (HHS, FDA SaMD, HTI-1, state-level AI ...

Lead AWS FinOps Analyst

Dunwoody, GA · Hybrid

$71K - $93K/yr

  • Medical

  • Dental

  • Vision

  • Retirement

AI Cost Visibility & Token Economics- Establish and operationalize cost models (token, model, agent level) and enable enterprise-level AI cost transparency. * Partner with cloud platform teams to ...

Proven track record of creating a winning culture that performs at a high level AI at Toast At Toast, one of our company values is that we're hungry to build and learn. We believe learning new AI ...

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Level Ai information

See Georgia salary details

$9.3K

$73.2K

$95.4K

How much do level ai jobs pay per year?

As of Aug 17, 2026, the average yearly pay for level ai in Georgia is $73,179.00, according to ZipRecruiter salary data. Most workers in this role earn between $50,700.00 and $90,800.00 per year, depending on experience, location, and employer.

What is a Level AI engineer?

A Level AI Engineer is a professional who specializes in developing and deploying artificial intelligence systems at a specific proficiency or seniority level within an organization. Their responsibilities typically include designing machine learning models, optimizing algorithms, and integrating AI solutions into products or services. The term 'Level' usually refers to the engineer's experience, skill set, and role within the company, such as junior, mid-level, or senior AI engineer. These professionals often work closely with data scientists, software engineers, and product teams to deliver intelligent solutions. Their work is essential for advancing automation, analytics, and decision-making capabilities in various industries.

What are the key skills and qualifications needed to thrive as a Level AI engineer?

To thrive as a Level AI Engineer, a strong background in computer science, mathematics, and experience with machine learning algorithms is essential, often supported by a relevant degree. Proficiency with programming languages such as Python, frameworks like TensorFlow or PyTorch, and knowledge of cloud computing platforms are typically required. Analytical thinking, problem-solving skills, and effective collaboration make individuals stand out in this role. These skills are crucial for developing, deploying, and optimizing AI solutions that meet complex business and technical needs.

What are typical challenges faced by Level AI specialists when implementing AI solutions in real-world business environments?

Level AI specialists often encounter challenges such as integrating AI systems with existing legacy infrastructure, ensuring data quality and privacy, and managing stakeholders’ expectations regarding AI capabilities. Collaboration with cross-functional teams like IT, data engineering, and business units is crucial to align technical solutions with organizational goals. Additionally, staying up-to-date with evolving AI technologies and regulatory compliance requirements is essential for long-term success in this role.

What is the difference between Level Ai vs Data Analyst?

AspectLevel AiData Analyst
Required CredentialsTypically requires knowledge of AI tools, programming, and data science certificationsOften requires a bachelor's degree in statistics, mathematics, or related fields; certifications like Microsoft Excel or Tableau are common
Work EnvironmentTech-focused, often in AI development teams or startupsBusiness or corporate settings, analyzing data to inform decisions
Employer & Industry UsageUsed in AI and machine learning companies, tech firmsUsed across industries like finance, marketing, healthcare, and more
Search & Comparison IntentUnderstanding AI-specific roles, career paths in AIAnalyzing data, reporting, and insights generation

Level Ai and Data Analyst roles share overlapping skills in data handling and analysis. However, Level Ai focuses more on AI tools and machine learning, while Data Analysts primarily interpret data to support business decisions. The choice depends on your interest in AI development versus data reporting and analysis.

Do entry-level artificial intelligence jobs exist?

Yes, entry-level artificial intelligence jobs are available and typically require foundational skills in programming, data analysis, and machine learning. These roles often include titles like AI analyst, junior data scientist, or machine learning engineer and may require familiarity with tools such as Python, TensorFlow, or scikit-learn.

What are popular job titles related to Level Ai jobs in Georgia?

For Level Ai jobs in Georgia, the most frequently searched job titles are:

What cities in Georgia are hiring for Level Ai jobs?

Cities in Georgia with the most Level Ai job openings:

Infographic showing various Level Ai job openings in Georgia as of August 2026, with employment types broken down into 71% Full Time, 19% Part Time, 7% Contract, and 3% Nights. Highlights an 63% Physical, 4% Hybrid, and 33% Remote job distribution, with an average salary of $73,179 per year, or $35.2 per hour.

Principal AI Security Architect

Finastra

Atlanta, GA • Hybrid

Full-time

Medical, Life, Retirement, PTO

Re-posted 22 days ago


Job description

Who are we?


At Finastra, we're a global leader in financial services software, dedicated to expanding access to financial services and shaping what's next for the industry. Our technology powers missioncritical solutions across Lending, Payments and Universal Banking, supporting over 7,000 customers, including 80% of the world's top 50 banks, in more than 110 countries.

We are seeking a principal-level AI Security Architect to define our enterprise AI/ML security architecture across data, model, and infrastructure layers. The individual will partner with AI COE, product, engineering, compliance, and operations to ensure safe, resilient, and compliant AI solutions. This role requires both strategic leadership and hands-on technical depth in AI security architecture, adversarial ML defenses, DevSecOps, and incident response.


Key Responsibilities
Strategic Architecture & Roadmap

  • Primary AI Security SME for the CISO organization.

  • AI Security SME supporting AI COE, providing expert guidance on AI security architecture, policies, and standards.

  • Establish reference architectures (e.g. RAG, MCP, agents, tenancy/orchestration), with standardized patterns for identity, access, data protection, and plugin safety.

  • Integrate AI security controls and requirements into enterprise architecture patterns and overlays, ensuring secure-by-design principles are applied.

  • Lead the evaluation, selection, and implementation of AI security tools, working collaboratively with internal stakeholders and external partners.

  • Stay current with advancements in AI/ML security, threat landscapes, and emerging technologies; proactively adapt frameworks and controls accordingly.

  • Stay ahead of evolving AI threats and recommend cutting-edge security solutions by conducting research and innovation.

Governance, Compliance & Risk

  • Converts AI risks into actionable controls, KPIs, and boardlevel narratives.

  • Participate in and support audits, compliance reviews, and incident response as it relates to AI systems.

  • Partner to develop and enforce AI security policies, including compliance with emerging standards (e.g., NIST AI RMF).

Threat Modeling & Controls

  • Perform AI threat modeling and risk assessments to identify, prioritize, and mitigate security risks related to AI/ML initiatives.

DevSecOps for AI

  • Ensure alignment of AI security practices with organizational strategy and regulatory requirements.

  • Integrated security controls into AI/ML lifecycle (data collection, model training, deployment).

  • Embed security automation into AI CI/CD and ensure continuous validation for drift, bias, and robustness.

Incident Response & Resilience

  • Create playbooks for AI-specific incident response (e.g., model compromise, data exfil via prompts, malicious fine-tuning)

  • Drive red-team/blue-team exercises for AI systems and coordinate independent architecture reviews across product lines.

Required Qualifications Use your skills to make an impact

  • Bachelor's or master's degree in computer science, Information Security, Engineering, or related field.

  • Proven progressive experience in information security, with focus on AI/ML security.

  • Deep expertise in AI/ML architecture, model security, AI threat modeling, and AI risk assessment methodologies.

  • Proven experience in AI security tool evaluation, selection, and integration.

  • Demonstrated understanding of enterprise security frameworks, secure software development lifecycle, and regulatory compliance requirements for regulated global FinTech company.

  • Strong ability to communicate complex technical concepts to technical and non-technical stakeholders.

  • Relevant security certifications (e.g., CISSP, CCSP, Certified AI Security Professional) preferred.

  • Experience developing and delivering code using modern CI/CD delivery methodologies.

Desired Skills

  • Experience with Azure ML, Azure OpenAI, Microsoft/GitHub Copilot security patterns; integration with Microsoft 365, Entra ID, Defender, Purview for data protection and governance.

  • Completed independent architecture reviews and redteam exercises for flagship AI features, closed priority findings within SLA.

We are proud to offer a range of incentives to our employees worldwide. These benefits are available to everyone, regardless of grade, and reflect the values we stand for:

Flexibility: Enjoy unlimited vacation, subject to local regulations and business priorities. Benefit from hybrid working arrangements and inclusive policies such as paid time off for voting, bereavement, and sick leave.

Wellbeing: Access confidential onetoone support through our Employee Assistance Program, connect with our network of Wellbeing Champions and Gather Groups, and take part in monthly events and initiatives designed to help you thrive-inside and outside of work.

Health & Financial Security: Medical, life and disability insurance, retirement plans, lifestyle, and other benefits.*

Sustainability: Paid time off for volunteering and donationmatching opportunities to support causes that matter to you.

Inclusion: Get involved in our inclusion communities, such as Count Me In, Culture@Finastra, Proud@Finastra, Disabilities@Finastra, and Women@Finastra-open to everyone who wants to participate and contribute.

Career Development: Access online learning and accredited courses through our Skills & Career Navigator tool.

Recognition: Take part in our global recognition program, Finastra Celebrates, and share your voice through regular employee surveys that help shape our culture and ways of working.

*Specific benefits may vary by location.

At Finastra, each individual is unique-bringing their own ideas, perspectives, cultural backgrounds, and experiences. We learn from one another, value what makes us different, and create an environment where everyone feels included, supported, and able to be their authentic selves.

Be unique. Be exceptional. Help us make a difference at Finastra.

Applicants for this position need to be located in posted location or their immediate surrounding areas. Due to the requirements of this position, this job posting is not available for, and Finastra will not be considering any applicants who currently reside in New York City or California.