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Ai Integration Engineer Jobs in Villa Rica, GA (NOW HIRING)

Intuit

Staff Backend Software Engineer

Atlanta, GA · On-site

This means seeking out those who can seamlessly integrate AI and emerging technologies to ... Coach and mentor junior engineers on best practices of software engineering, leveraging AI to ...

Intellectt INC

Senior - AI Architect

Atlanta, GA · On-site

Integrate and manage MCP Server for scalable AI infrastructure and agent workflows. * Design and ... Required Skills & Qualifications * 14+ years of overall experience in software engineering ...

Deloitte

AI Engineer Consultant

Atlanta, GA · Hybrid

You will work with an AI Data Engineer (data ingestion, curation, governance, platform foundations) and a Lead AI Solutions Architect (end-to-end solution architecture, integration patterns, non ...

Deloitte

AI Engineer Consultant

Atlanta, GA · On-site

You will work with an AI Data Engineer (data ingestion, curation, governance, platform foundations) and a Lead AI Solutions Architect (end-to-end solution architecture, integration patterns, non ...

Newcomb & Boyd Llp

AEC AI Technology Architect

Atlanta, GA · On-site

$130.71 - $170/hr

Collaborating with integrated Architecture, Engineering, and Construction teams to design and implement AI-powered tools for design processes.Integrating AI and machine learning models into AEC ...

Third Eye Software

Senior AI Software Engineer

Atlanta, GA · On-site

$100 - $140/hr

We are seeking a Senior AI Software Engineer to help build internal AI agents and AI-enabled ... Design integrations across systems such as Jira, documentation platforms, repositories, APIs, and ...

New

Genpact

Lead AI Engineer 4D

Atlanta, GA · On-site

$98K - $129K/yr

Lead AI Engineer Ready to turn bold ideas into real-world impact? At Genpact, we don't just adapt ... Integrate Kiro into existing CI/CD pipelines and code review workflows * Build reusable templates ...

Deloitte

Google AI Lead Architect

Atlanta, GA · On-site

$53.25 - $72.75/hr

AI & Engineering leverages cutting-edge engineering capabilities to build, deploy, and operate integrated/verticalized sector solutions in software, data, AI, network, and hybrid cloud infrastructure.

Deloitte

Google AI Lead Architect

Atlanta, GA · On-site

$53.25 - $72.75/hr

AI & Engineering leverages cutting-edge engineering capabilities to build, deploy, and operate integrated/verticalized sector solutions in software, data, AI, network, and hybrid cloud infrastructure.

GEI Consultants

AI Engineer

Atlanta, GA · On-site

The AI Engineer is responsible for the development of AI solutions, typically leveraging pretrained ... Integrate AI capabilities into business workflows and applications. * Integrate enterprise data ...

GEI Consultants

AI Engineer

Atlanta, GA · On-site

$110K - $150K/yr

This role focuses on building, deploying, and integrating AI capabilities into business workflows in a secure, scalable, and maintainable manner. The AI Engineer plays a hands-on role in active AI ...

KPMG

Director, AI Strategy Architect

Atlanta, GA · On-site

... seamless integration, quality, scalability, and security within enterprise workflows * Advise ... Set a clear strategic vision for AI strategy and engineering offerings, staying updated on the ...

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Showing results 21-40

All JobsAi Integration Engineer JobsAi Integration Engineer Jobs in Villa Rica, GA

Ai Integration Engineer information

See Villa Rica, GA salary details

$38.8K

$108.5K

$151.4K

How much do ai integration engineer jobs pay per year?

As of Aug 8, 2026, the average yearly pay for ai integration engineer in Villa Rica, GA is $108,476.00, according to ZipRecruiter salary data. Most workers in this role earn between $90,800.00 and $122,200.00 per year, depending on experience, location, and employer.

What are some common challenges faced by AI integration engineers when deploying machine learning models into existing business systems?

AI Integration Engineers often encounter challenges such as ensuring compatibility between machine learning models and legacy systems, managing data privacy and security, and optimizing model performance for real-time applications. They must also address issues related to model scalability and monitoring, as well as facilitate smooth collaboration between data science, IT, and business teams. Overcoming these challenges requires strong problem-solving skills, effective communication, and a deep understanding of both AI technologies and enterprise infrastructure.

What are the key skills and qualifications needed to thrive as an AI integration engineer, and why are they important?

To thrive as an AI Integration Engineer, you need a solid background in computer science, programming (Python, Java, or similar), and experience with AI/ML frameworks, often supported by a bachelor's degree in a related field. Familiarity with cloud platforms (such as AWS, Azure, or Google Cloud), API development, and tools like TensorFlow or PyTorch is typically required. Strong problem-solving abilities, collaboration, and clear communication are essential soft skills for bridging technical and business needs. These competencies ensure successful deployment and seamless integration of AI solutions into existing systems, driving innovation and business value.

What is the difference between Ai Integration Engineer vs Data Scientist?

AspectAi Integration EngineerData Scientist
Required CredentialsBachelor's in CS, Engineering, or related; certifications in AI/ML toolsBachelor's or higher in CS, Statistics, or related; advanced degrees common
Work EnvironmentDeveloping and deploying AI solutions, integrating AI APIs into applicationsAnalyzing data, building predictive models, interpreting complex datasets
Employer & Industry UsageTech companies, AI service providers, software firmsResearch institutions, tech companies, finance, healthcare

While both roles involve AI, the Ai Integration Engineer focuses on implementing and integrating AI solutions into applications, whereas the Data Scientist analyzes data to develop models and insights. The roles often overlap but differ mainly in their primary focus: deployment versus analysis.

What is an AI integration engineer?

AI Integration Engineers are professionals who specialize in implementing artificial intelligence solutions into existing systems, products, or workflows. They work closely with data scientists, software developers, and business teams to ensure that AI models and technologies are effectively deployed and seamlessly integrated. Their responsibilities often include customizing AI tools, developing APIs, ensuring data compatibility, and monitoring performance post-integration. These engineers play a crucial role in bridging the gap between AI research and practical business applications.

Are AI Integration Engineers highly paid?

AI Integration Engineers typically earn higher-than-average salaries due to their specialized skills in AI systems, programming, and data analysis. Compensation varies based on experience, location, and industry, but they are generally well-compensated compared to many other engineering roles.
What cities near Villa Rica, GA are hiring for Ai Integration Engineer jobs? Cities near Villa Rica, GA with the most Ai Integration Engineer job openings:
Ai Integration Engineer jobs near you

GenAI / Agentic AI Engineer (RAG & LLM Apps

ConglomerateIT

Atlanta, GA • On-site

Other

Re-posted 8 days ago

Job description

Title:GenAI / Agentic AI Engineer (RAG & LLM Apps)
Location: US - Remote / Hybrid (multiple locations)
Type: Full-time or Contract (W2/C2C)
Level: Mid Senior (10+ Years Only)

We are hiring RAG-first GenAI engineers to build LLM-powered applications and agentic workflows for enterprise clients. This role centers on retrieval quality and reliable LLM integration as the foundation for agentic features.

What you'll do

  • Architect end-to-end RAG: chunking, embedding selection, hybrid/semantic search, re-ranking, citation and evaluation

  • Build LLM-powered microservices and APIs (FastAPI / REST)

  • Integrate and orchestrate LLMs (OpenAI, Claude, Gemini, Llama) into product and internal workflows

  • Add agentic behavior on top of RAG: tool-calling, multi-step task execution, guardrails, hallucination handling

  • Stand up and tune vector-store infrastructure; deploy and monitor in production

Must have

  • Strong Python

  • End-to-end RAG experience

  • Vector databases (Pinecone, Weaviate, pgvector, FAISS, or similar)

  • LLM API integration (OpenAI / Anthropic / Gemini / Llama)

  • LangChain and/or LlamaIndex

  • FastAPI / REST and one cloud (AWS, Azure, or Google Cloud Platform)

Nice to have

  • LangGraph, MCP, DSPy

  • Knowledge graphs / Neo4j, evals/LangSmith, MLOps

Founded in 2014, is a global leader in delivering innovative IT solutions and services. Headquartered in the USA with a presence in the UK, Canada, and India, we specialize in offering industry-leading expertise and cutting-edge products that help our clients maximize their technological investments. Our focus on best-in-class solutions, a highly knowledgeable team, and proactive talent mapping ensure we remain at the forefront of the IT industry.

ConglomerateIT is driven by our Center for Excellence and Innovation, an initiative dedicated to keeping us ahead in a rapidly evolving technology landscape. We understand that building strong relationships is key to our success, and this commitment has enabled us to partner with Fortune 500 companies and leading system integrators worldwide. Our ability to provide local talent on a global scale ensures that we can meet the contingent project requirements of our clients efficiently and effectively.

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