ZipRecruiter

Log In

1

Genai Architect Jobs in Decatur, GA (NOW HIRING)

Aimpoint Digital

AI Solutions Architect 2026 - US

Atlanta, GA · On-site +1

$60.50 - $79.75/hr

As an AI Solutions Architect, you will be part of our AI Strategy Practice, lead end-to-end AI ... You bring a strong understanding of AI and GenAI capabilities, enterprise data platforms, and ...

Aimpoint Digital

AI Solutions Architect 2026 - US

Atlanta, GA · On-site +1

$60.50 - $79.75/hr

As an AI Solutions Architect, you will be part of our AI Strategy Practice, lead end-to-end AI ... You bring a strong understanding of AI and GenAI capabilities, enterprise data platforms, and ...

Deloitte

Software Product Architect

Atlanta, GA · On-site

Driving accountability for customer and business outcomes by designing and delivering AI/ML and GenAI solutions for complex product challenges * Serving as the technical architect for assigned ...

Deloitte

Software Product Architect

Atlanta, GA · On-site

Driving accountability for customer and business outcomes by designing and delivering AI/ML and GenAI solutions for complex product challenges * Serving as the technical architect for assigned ...

AIG

Data Scientist, GenAI

Atlanta, GA · On-site

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 ...

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 31, 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

AI Lead/Architect (GenAI, Agentic AI, ML) - 12+ yrs - F2F in Atlanta, GA

Systems Management Group, Inc

Atlanta, GA

$53.25 - $72.75/hr

Other

Posted 5 days ago

Job description

Role: AI Lead/Architect

Exp: 12+ yrs

Location: Atlanta, GA (5 days Onsite)

MOI: 2 Video Rounds + 1 In-Person in Atlanta

Overview:

We are seeking an experienced Lead Agentic AI Engineer to design, build, and scale agentic AI workflows for enterprise platforms, intelligent processes, and AI-driven client solutions. In this hands-on leadership role, you will architect multi-agent systems, integrate enterprise-grade LLM capabilities across Azure AI Foundry, OpenAI, and Anthropic Claude, and deliver production-ready AI solutions that meet the strict compliance and reliability standards of the insurance and financial services industry.

This is a highly hands-on technical leadership role where you will influence architecture, engineering practices, platform direction, and delivery execution.

Required Qualifications:

  • 7+ years of software engineering experience with 3+ years in AI/ML or LLM-based systems
  • Hands-on experience building production-grade agentic or multi-agent AI workflows
  • Proficiency with GenAI agentic frameworks: LangGraph, Semantic Kernel, AutoGen, CrewAI, or LangChain
  • Working knowledge of agentic protocols: MCP (Model Context Protocol), A2A (Agent-to-Agent), AG-UI, and CodeAct/Code Interpreter patterns
  • Strong experience with context management strategies, agent skill design, agent evaluation, and agent harness construction
  • Proficiency with OpenAI APIs (GPT-4o, function calling, Assistants API) and Anthropic Claude APIs
  • RAG pipeline design: vector databases (Azure AI Search, PostgreSQL pgvector, Cosmos DB), chunking, embedding, and retrieval strategies
  • Ability to pivot across agentic framework approaches and managed agent platforms as the ecosystem evolves

Regards,

Prakash

732-9 3 4-4169

prakash.v(@)sng(-)llc(.)us

Apply