ZipRecruiter

Log In

1

Genai Architect Jobs in Decatur, GA (NOW HIRING)

Cliff Services Inc

Solution Architect

Atlanta, GA

$60.50 - $79.75/hr

AWS Cloud & GenAI Tools (Amazon Bedrock, Amazon Q) * SDLC Transformation & Automation * AI Agent Steering & Rules File Management * System Design & Architecture * Mermaid Diagrams & Technical ...

Tata Consultancy Services

AI Solution Architect

Atlanta, GA · On-site

$60.50 - $79.75/hr

Responsibilities : • Lead end to end enterprise GenAI/ML architecture from discovery → PoC → pilot → production, ensuring scalability, security, reliability, and measurable business value ...

Kaleris

AI SENIOR SOLUTIONS ARCHITECT

Alpharetta, GA · On-site

Translate strategic objectives into use-case-driven AI initiatives, leveraging GenAI capabilities ... Architect end-to-end AI solutions in Microsoft Azure AI, integrating with enterprise systems via ...

ADP

Sr. Application Security Architect

Alpharetta, GA · On-site

You will leverage your deep expertise in application security architecture, public cloud platforms (AWS and Azure), and GenAI security to influence design decisions, reduce risk, and champion secure ...

Caresoft Inc.

Senior Cloud AI Architect

Atlanta, GA · On-site

$74 - $77/hr

Experience with cutting-edge AI technologies in developing chatbots and generative AI (GenAI) and ... architecture or AI specialties (AWS, Azure, or GCP). (PLS UPLOAD CERTIFICATION)

next page

Showing results 1-20

People also search for

All JobsGenai Architect JobsGenai Architect Jobs in Decatur, GA

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 May 30, 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.

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.

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.
What are popular job titles related to Genai Architect jobs in Decatur, GA? For Genai Architect jobs in Decatur, GA, the most frequently searched job titles are:
What job categories do people searching Genai Architect jobs in Decatur, GA look for? The top searched job categories for Genai Architect jobs in Decatur, GA are:
What cities near Decatur, GA are hiring for Genai Architect jobs? Cities near Decatur, GA with the most Genai Architect job openings:
Genai Architect jobs near you
Python AI Solution Architect

Python AI Solution Architect

Inficare Technologies

Atlanta, GA • On-site

Full-time

Posted 27 days ago

Job description

Job title : Python AI Solution Architect
Location: Atlanta, GA
Client: Retail client
Role Summary
We are seeking a Python-focused AI Solution Architect to design, build, and deliver enterprise-grade AI/GenAI solutions on GCP. This role owns end-to-end AI architecture and works closely with product, engineering, and business teams to deploy scalable, responsible AI solutions.
Key Responsibilities
  • Lead end-to-end AI solution architecture from concept to production
  • Develop and deploy Python-based AI/ML and GenAI solutions using PyTorch, TensorFlow, Scikit-learn, and GenAI frameworks
  • Design and implement GenAI solutions on GCP using Gemini (RAG, embeddings, agents, prompt engineering)
  • Build Python APIs and services for AI inference and orchestration
  • Integrate AI capabilities with Oracle (Fusion, ERP) and Salesforce (Sales/Service/Data Cloud, APIs)
  • Define scalable architectures covering data ingestion, model inference, security, and observability
  • Ensure Responsible AI practices including governance, privacy, explainability, and access control
  • Support POCs, pilots, and production deployments, including performance and cost optimization
  • Collaborate in Agile teams using JIRA and Confluence and provide technical leadership as needed
Required Skills & Experience
  • 8+ years overall experience with 3-5+ years in AI/ML or GenAI architecture
  • Strong, hands-on Python expertise building production-grade AI systems
  • Proven experience architecting AI solutions on Google Cloud Platform
  • Hands-on experience with Gemini models and GenAI workflows (RAG, agents, embeddings)
  • Strong integration experience with Oracle and Salesforce platforms
  • Ability to work independently and make architectural decisions in ambiguous environments
Technical Skills
  • Python (advanced), AI/ML frameworks, and GenAI tooling
  • GCP: Vertex AI, BigQuery, Cloud Functions/Run, IAM, monitoring
  • GenAI patterns: RAG, vector stores, orchestration, grounding
  • API-driven integrations and enterprise AI security/governance

Apply