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Ai Agent Developer Jobs in Dacula, GA (NOW HIRING)

KPMG is currently seeking a Manager, SAP AI & Agent Governance to join our Advisory Technology ... Bachelor'sdegree in business, information systems, engineering, technology, or relatedfield ...

AI Architect

Atlanta, GA · On-site

$120K - $150K/yr

Multi-agent collaboration * Autonomous task execution * Agents interacting with clients APIs, data ... Mentor engineers on agentic patterns, tool integration, and modern AI development. TCS Employee ...

The Principal AI Engineer is responsible for driving AI adoption and innovation across Corporate ... AI-assisted agent experiences * Knowledge retrieval systems * Intelligent intake and triage ...

The Principal AI Engineer is responsible for driving AI adoption and innovation across Corporate ... AI-assisted agent experiences * Knowledge retrieval systems * Intelligent intake and triage ...

The Principal AI Engineer is responsible for driving AI adoption and innovation across Corporate ... AI-assisted agent experiences * Knowledge retrieval systems * Intelligent intake and triage ...

The Principal AI Engineer is responsible for driving AI adoption and innovation across Corporate ... AI-assisted agent experiences * Knowledge retrieval systems * Intelligent intake and triage ...

FSE Sr.AI Engineer

Atlanta, GA · On-site

$117K - $155K/yr

... and agent-ready task breakdowns before writing any code. * Design and build full stack web ... Build and integrate AI-powered features -- leveraging LLMs, AI agents, prompt engineering, and the ...

Principal AI Engineer

Atlanta, GA · On-site

$180 - $260/hr

Conversational AIVoice and chat agentsAI-assisted agent experiencesKnowledge retrieval ... Lead AI platform engineering and governance efforts.Translate emerging AI capabilities into ...

AI Engineer

Atlanta, GA · On-site

$50K - $112K/yr

... agent workflows using frameworks such as LangGraph to automate multi-step reasoning, integrate tools and APIs, and deliver scalable, context-aware solutions - Applying generative AI techniques ...

Showing results 21-40

Ai Agent Developer information

See Dacula, GA salary details

$26.7K

$44.1K

$91.6K

How much do ai agent developer jobs pay per year?

As of Sep 5, 2026, the average yearly pay for ai agent developer in Dacula, GA is $44,102.00, according to ZipRecruiter salary data. Most workers in this role earn between $31,300.00 and $46,900.00 per year, depending on experience, location, and employer.

What is an AI agent developer?

An AI Agent Developer designs, builds, and optimizes intelligent software agents that can autonomously perform tasks, make decisions, and interact with users or other systems. This role involves working with machine learning, natural language processing, reinforcement learning, and multi-agent systems to create adaptive and efficient AI solutions. Developers in this field often utilize frameworks like LangChain, AutoGPT, or OpenAI API to enhance agent capabilities. Their work spans various industries, including customer service automation, finance, gaming, and robotics.

What are some common challenges faced by AI agent developers in their daily work?

AI Agent Developers often encounter challenges such as managing large and complex datasets, optimizing agent performance, and ensuring models behave ethically and reliably in unpredictable environments. It’s common to iterate frequently on prototypes, test against edge cases, and fine-tune algorithms based on real-world feedback. Collaboration with data scientists, software engineers, and stakeholders is crucial to understand project goals and adapt solutions accordingly. Overcoming these challenges requires technical flexibility, persistence, and a strong teamwork mindset.

What are the key skills and qualifications needed to thrive in the AI agent developer position, and why are they important?

To thrive as an AI Agent Developer, you need strong programming skills (particularly in Python), a deep understanding of machine learning concepts, and a relevant degree in computer science or a related field. Expertise with AI development frameworks (such as TensorFlow, PyTorch, or OpenAI Gym), cloud platforms, and potentially certifications in AI or data science are common requirements. Creative problem-solving, effective teamwork, and strong communication skills help distinguish top performers in this role. These competencies are essential to designing, implementing, and refining intelligent agents that function reliably in real-world applications.

How to become an AI agent developer?

To become an AI agent developer, you should have a strong foundation in programming languages such as Python, experience with machine learning frameworks like TensorFlow or PyTorch, and knowledge of AI concepts such as natural language processing and reinforcement learning. Gaining relevant education through degrees or online courses and building a portfolio of AI projects can also enhance your qualifications.

Is an AI Agent Developer a good career?

An AI Agent Developer is a promising career path in the technology industry, focusing on creating intelligent systems that can perform tasks autonomously. It typically requires skills in programming, machine learning, and AI frameworks, with strong job growth prospects due to increasing demand for automation and AI solutions. The role offers opportunities for innovation and specialization in emerging technologies.

What are popular job titles related to Ai Agent Developer jobs in Dacula, GA?

For Ai Agent Developer jobs in Dacula, GA, the most frequently searched job titles are:

What cities near Dacula, GA are hiring for Ai Agent Developer jobs?

Cities near Dacula, GA with the most Ai Agent Developer job openings:

Infographic showing various Ai Agent Developer job openings in Dacula, GA as of August 2026, with employment types broken down into 75% Full Time, 20% Part Time, 4% Contract, and 1% Nights. Highlights an 63% Physical, 4% Hybrid, and 33% Remote job distribution, with an average salary of $44,102 per year, or $21.2 per hour.

Google Cloud AI Solutions Architect, Gemini Enterprise

The Data Sherpas

Atlanta, GA • On-site

$150 - $210/hr

Other

Re-posted 21 days ago


Job description

Google Cloud AI Solutions Architect, Gemini Enterprise Overview

We are seeking a hands‑on Google Cloud AI Solutions Architect to design, build, configure, and implement Gemini Enterprise and agentic AI solutions for end clients. This is a client‑facing technical delivery role focused on applied AI/ML implementation, not sales.

The right candidate will have strong Google Cloud experience, hands‑on Gemini Enterprise or Google Cloud generative AI implementation experience, and the ability to translate client workflows into secure, scalable, production‑ready AI solutions. This person should be comfortable moving between architecture, coding, prototyping, configuration, integration, and client‑facing technical delivery.

Responsibilities
  • Design, build, configure, and implement Gemini Enterprise solutions for end clients.
  • Develop AI agent workflows that support business use cases, internal processes, enterprise automation, and operational workflows.
  • Build prototypes and proofs of concept that can be iterated into production‑ready solutions.
  • Design and implement applied AI/ML solutions using Gemini Enterprise, Vertex AI, and related Google Cloud AI services.
  • Build and deploy LLM‑powered applications, AI agents, retrieval‑augmented generation workflows, and enterprise AI integrations.
  • Evaluate model options, agent patterns, grounding strategies, retrieval approaches, and integration paths based on client use cases.
  • Configure and deploy Gemini Enterprise agents, integrations, and related Google Cloud AI services.
  • Integrate AI agents with enterprise systems, data sources, APIs, and business applications.
  • Lead technical discovery with clients and translate requirements into solution architecture and implementation plans.
  • Develop scripts, connectors, workflows, or lightweight applications needed to support AI agent implementation.
  • Support model evaluation, prompt optimization, testing, validation, troubleshooting, and production readiness.
  • Apply best practices for cloud security, IAM, data governance, responsible AI, monitoring, and enterprise deployment.
  • Communicate technical recommendations clearly to client engineering, data, security, cloud, and business stakeholders.
Qualifications
  • Bachelor’s degree in Computer Science, Engineering, Information Systems, Data Science, Machine Learning, or a related field; equivalent practical experience will also be considered.
  • 5+ years of experience in cloud architecture, AI/ML solution architecture, technical consulting, solution architecture, software engineering, or hands‑on client‑facing technical delivery.
  • 3+ years of experience working with Google Cloud Platform.
  • Google Cloud Professional Cloud Architect or Google Cloud Professional Machine Learning Engineer certification.
  • Hands‑on experience implementing Gemini Enterprise or Google Cloud generative AI solutions.
  • Hands‑on experience designing or implementing AI/ML solutions using Google Cloud AI services, including Vertex AI, Gemini, Gemini Enterprise, Agent Builder, Agent Development Kit, or related tools.
  • Experience building, configuring, deploying, or integrating AI agents, generative AI applications, LLM‑powered applications, or enterprise AI workflows.
  • Experience building agentic AI workflows using Google Cloud Agent Development Kit, Vertex AI Agent Engine, Agent Builder, or related agent development tools.
  • Experience with core agentic AI implementation patterns such as retrieval‑augmented generation, prompt engineering, tool use/function calling, API integrations, enterprise system integration, and/or multi‑agent workflows.
  • Experience with LLM application development, embeddings, model evaluation, prompt optimization, and production AI/ML implementation patterns.
  • Strong understanding of Google Cloud AI and data services, such as Vertex AI, Gemini, Gemini Enterprise, BigQuery, BigQuery ML, Cloud Functions, Cloud Run, APIs, IAM, and related services.
  • Ability to code, script, prototype, and troubleshoot technical solutions in client environments.
  • Experience working directly with enterprise clients or internal business stakeholders to gather requirements and implement technical solutions.
  • Strong understanding of cloud security, IAM, data governance, responsible AI, and enterprise deployment best practices.
  • Excellent communication skills with the ability to explain complex technical concepts clearly.
  • Must be a U.S. Citizen.
Preferred Skills
  • Google Cloud Generative AI Leader certification.
  • Experience as a Forward Deployed Engineer, Solutions Architect, AI Architect, ML Engineer, Customer Engineer, Technical Consultant, or hands‑on implementation architect.
  • Experience with Python, JavaScript, TypeScript, or similar programming languages.
  • Experience with data integration, workflow automation, enterprise applications, embeddings, vector search, semantic search, model grounding, enterprise search, or retrieval‑augmented generation pipelines.
  • Experience in consulting, systems integration, professional services, or client‑facing technical delivery.
  • Familiarity with infrastructure as code, CI/CD, containers, serverless architecture, and cloud‑native application deployment.
Additional Information

This position is open to direct candidates only. We are not working with third‑party agencies, subcontractors, or C2C arrangements for this role.

Candidates must be U.S. Citizens.

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