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Genai Architect Jobs in Decatur, GA (NOW HIRING)

Senior Cloud AI Architect

Atlanta, GA · On-site

$61 - $83.75/hr

... 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 ...

Architecture: Design scalable ML pipelines and RAG frameworks that integrate seamlessly with ... GenAI Solutions: 3+ years of experience building Generative AI Solutions, including designing and ...

Design, develop and deploy scalable, secure, and compliant AI systems using GenAI, ML, and agentic frameworks. Architect and Build Composable AI Solutions: Lead the development of modular, reusable ...

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Genai Architect information

See Decatur, GA salary details

$45.4K

$125.7K

$196.7K

How much do genai architect jobs pay per year?

As of Jul 14, 2026, the average yearly pay for genai architect in Decatur, GA is $125,708.00, according to ZipRecruiter salary data. Most workers in this role earn between $88,800.00 and $162,100.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a GenAI Architect, and why are they important?

To thrive as a GenAI Architect, you need deep expertise in artificial intelligence, machine learning, and large language models, typically supported by a degree in computer science or a related field. Familiarity with AI frameworks (such as TensorFlow, PyTorch), cloud platforms (AWS, Azure, GCP), and MLOps tools, along with certifications in AI or cloud architecture, are highly valuable. Strong problem-solving skills, strategic thinking, and the ability to communicate complex concepts to diverse stakeholders set top candidates apart. These skills are essential for designing scalable, effective GenAI solutions that align with business goals and drive innovation.

What is a GenAI Architect?

A GenAI Architect is a professional who designs, develops, and oversees the implementation of generative AI solutions within an organization. They are responsible for creating system architectures that leverage advanced machine learning models, such as large language models, to solve business problems and improve processes. GenAI Architects work closely with data scientists, engineers, and stakeholders to ensure AI systems are scalable, secure, and aligned with business objectives. Their role often includes evaluating new technologies, setting best practices, and ensuring compliance with ethical and regulatory standards.

How does a GenAI Architect typically collaborate with cross-functional teams during the development of AI solutions?

A GenAI Architect works closely with data scientists, software engineers, product managers, and sometimes business stakeholders to design, implement, and refine generative AI systems. Collaboration often involves translating business requirements into technical solutions, selecting appropriate models and frameworks, and ensuring integration with existing platforms. Regular meetings, design reviews, and joint problem-solving sessions are common, as the architect must ensure alignment on project goals, timelines, and resource needs. This collaborative approach helps deliver robust, scalable, and responsible AI solutions that meet organizational objectives.
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Senior Cloud AI Architect

Senior Cloud AI Architect

InterSources Inc

Atlanta, GA • On-site

Full-time

Posted 3 days ago


Job description

Job Summary:
InterSources Inc is a Small, Woman, and Minority-Owned Business Enterprise with over 18 years of experience in IT Consulting Services. They are seeking a Senior Cloud AI Architect responsible for designing and implementing secure, scalable AI solutions to support government missions, while also mentoring other architects and collaborating with multiple teams.
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.
Qualifications:
Required:
• 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.
• 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.
• Experience with the concepts, philosophies, and tools behind the design of applications, solution architecture, and underlying information technologies.
• Enterprise, full-life cycle architecture experience in the professional IT/Software Development services industry.
• Hands-on technical application architecture experience, including application build and modernization.
• Evaluating architectural alternatives for private, public, and hybrid cloud models (IaaS, PaaS, and other cloud services).
• Experience with cutting-edge AI technologies in developing chatbots and generative AI (GenAI) and LLM deployment for public sector use cases.
• Experience with AI ethics, bias mitigation, and responsible AI frameworks.
• 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.
• AWS Certified Solutions Architect (PLS UPLOAD CERTIFICATION).
Preferred:
• 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).
Company:
InterSources Inc. solves operational problems where protection, performance, compliance, AI, and workforce capability must work together. Founded in 2007, the company is headquartered in Fremont, USA, with a team of 501-1000 employees. The company is currently Late Stage.

InterSources logo

About InterSources

Sourced by ZipRecruiter

In 2007, Our journey began as pioneers in the realm of technology and security. Since then, InterSources Inc. has evolved into a trusted partner, leading the way in Cloud Security, Cybersecurity, PLG Consulting, Digital Transformation, and Professional Services. With a rich history of excellence and a forward-thinking approach, we continue to secure your digital future and drive innovation. Explore our legacy of success and discover the possibilities that lie ahead.

Company size

51 - 200 Employees

Headquarters location

Fremont, CA, US

Year founded

2007

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