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Apprentice Generative Ai Engineer Jobs in Georgia

Define solution architectures that integrate LLMs, generative AI, and traditional ML with ... Azure AI Engineer Associate, AWS ML Specialty, Google Cloud ML Engineer) are a plus * Track record ...

Define solution architectures that integrate LLMs, generative AI, and traditional ML with ... Azure AI Engineer Associate, AWS ML Specialty, Google Cloud ML Engineer) are a plus * Track record ...

AI Engineer

Buford, GA · On-site

$69K - $134K/yr

Role & Responsibility Generative AI Solutioning * Lead the identification and analysis of complex ... Mentor junior engineers through code reviews, technical guidance, and knowledge-sharing initiatives.

Adidev is looking for an adept Machine Learning Engineer to take the helm in deploying advanced machine learning models, with a special emphasis on Generative AI. In this role, you will craft and ...

Adidev is looking for an adept Machine Learning Engineer to take the helm in deploying advanced machine learning models, with a special emphasis on Generative AI. In this role, you will craft and ...

Adidev is looking for an adept Machine Learning Engineer to take the helm in deploying advanced machine learning models, with a special emphasis on Generative AI. In this role, you will craft and ...

Generative AI & LLMs: GPT, LLaMA, Claude, BERT, PEFT/LoRA, Prompt Engineering * Frameworks & Search: LangChain, RAG Pipelines, Vector Databases, Semantic Search * Cloud Platforms: Azure (Cognitive ...

Gen AI Engineer Gen AI Engineer Location: This role requires associates to be in-office 1 - 2 days ... Experience with NLP, LLMs (extractive and generative), fine-tuning and LLM model development.

Position: AI/ML Engineer with Google Cloud Platform Location: Atlanta, GA (Hybrid) Strategic ... AI, ML, and Generative AI Architecture * Design and implement AI/ML and GenAI solution ...

Proven experience (3-5 years) as a Data Scientist or Machine Learning Engineer, with experience in deploying Generative AI based solutions in production. * Experience working on cutting-edge ...

Senior AI Engineer

Atlanta, GA · On-site +1

$100K - $138K/yr

Senior AI Engineer 1 About Crowe Studio Crowe Studio is a business unit dedicated to helping ... Research new generative AI, machine learning, and cloud technologies to evaluate applicability to ...

Senior AI Engineer

Atlanta, GA · On-site

$100K - $138K/yr

The Senior AI Engineer will lead the design and implementation of production-grade AI solutions across machine learning, optimization, and generative AI. This role is ideal for someone who can ...

Position: AI/ML Engineer with GCP Location: Atlanta, GA (Hybrid) Type: Contract Strategic ... AI, ML, and Generative AI Architecture * Design and implement AI/ML and GenAI solution ...

AI/ML Engineer We are seeking a highly skilled AI/ML Engineer to design, develop, and deploy ... Develop Generative AI, LLM, NLP, computer vision, recommendation systems, or predictive analytics ...

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Apprentice Generative Ai Engineer information

What is a $900,000 AI job?

A $900,000 AI job typically refers to high-level roles in artificial intelligence, such as senior AI engineers, research directors, or executive positions in tech companies. These roles often require advanced skills in machine learning, deep learning, and experience with large-scale AI projects, along with leadership responsibilities and specialized certifications.

What engineers make $500,000?

Senior engineers in specialized fields such as software, data science, or AI engineering can earn $500,000 or more annually, especially with experience, advanced skills, and in high-demand industries. Roles like senior AI or machine learning engineers often reach this level through bonuses, stock options, and other compensation components.

How can I become an AI engineer with no experience?

To become an AI engineer with no experience, start by learning programming languages like Python and studying machine learning fundamentals through online courses or tutorials. Gaining hands-on experience with tools such as TensorFlow or PyTorch and building small projects can help develop practical skills; internships or entry-level roles can also provide valuable industry exposure.

What is the difference between Apprentice Generative Ai Engineer vs Junior Data Scientist?

AspectApprentice Generative Ai EngineerJunior Data Scientist
Required CredentialsBasic understanding of AI, programming, and machine learning fundamentalsBachelor's degree in Data Science, Computer Science, or related field
Work EnvironmentHands-on training in AI development teams, often in tech companies or startupsData analysis, modeling, and reporting in various industries
Employer & Industry UsageTech companies focusing on AI products, research labs, startupsFinance, healthcare, marketing, and other data-driven sectors

The Apprentice Generative Ai Engineer role is focused on gaining practical experience in AI development, often with mentorship, while a Junior Data Scientist typically handles data analysis and modeling tasks. Both roles require foundational knowledge, but the Apprentice role emphasizes learning and skill development in generative AI technologies.

Which 3 jobs will survive AI?

For an Apprentice Generative AI Engineer, roles that require complex problem-solving, creativity, and emotional intelligence, such as AI ethics specialists, AI trainers, and human-centered design experts, are likely to persist. These jobs involve tasks that are difficult for AI to fully replicate and often require interdisciplinary skills and human judgment. Continuous learning and developing expertise in AI tools and ethical considerations will enhance job security in this field.
What are the most commonly searched types of Generative Ai Engineer jobs in Georgia? The most popular types of Generative Ai Engineer jobs in Georgia are:
What are popular job titles related to Apprentice Generative Ai Engineer jobs in Georgia? For Apprentice Generative Ai Engineer jobs in Georgia, the most frequently searched job titles are:
What job categories do people searching Apprentice Generative Ai Engineer jobs in Georgia look for? The top searched job categories for Apprentice Generative Ai Engineer jobs in Georgia are:
What cities in Georgia are hiring for Apprentice Generative Ai Engineer jobs? Cities in Georgia with the most Apprentice Generative Ai Engineer job openings:
Cloud Engineer- Data/AI Focused

Cloud Engineer- Data/AI Focused

Innovative Solutions

Atlanta, GA

$110K - $132K/yr

Full-time

Posted 8 days ago


Job description

As a Data & AI Engineer, you’ll build and deploy modern data pipelines and generative AI solutions on AWS — from scalable ETL/ELT workflows and cloud data platforms to production-grade RAG systems and AI agents. One engagement you may be designing and optimizing data pipelines using Glue, Lambda, and Redshift, the next you’re building GenAI applications powered by Bedrock, Claude, and vector databases to enable intelligent search and automation. You’ll work directly with clients to deliver end-to-end data and AI solutions that are secure, scalable, and production-ready.


What You’ll Do:

  • Implementing data pipelines using AWS services such as Glue, Lambda, Step Functions, and EMR
  • Creating and maintaining data extraction, transformation, and loading processes
  • Configuring and optimizing AWS database services including RDS, Aurora, Redshift, and DynamoDB
  • Implementing data lakes using S3 and related AWS services
  • Designing and building production-ready Generative AI applications using Amazon Bedrock and foundation models such as Anthropic Claude
  • Building and optimizing RAG (Retrieval-Augmented Generation) pipelines with vector databases
  • Developing AI agents and multi-agent orchestration systems using frameworks like LangChain or LlamaIndex
  • Writing and testing SQL queries and stored procedures
  • Documenting technical solutions and providing knowledge transfer to customers
  • Supporting the implementation of data governance and security controls
  • Troubleshooting and resolving issues with data pipelines and AI services
  • Participating in code reviews and implementing feedback
  • Assisting with proof-of-concept implementations for customer engagements

Required Skills:

  • 5+ years of software engineering experience with at least 2+ years focused on AI/ML, data engineering, or cloud-native development
  • 2+ years of hands-on AWS experience with production deployments
  • 1+ years of direct Generative AI experience (LLMs, embeddings, RAG, agents)
  • Proven track record delivering production AI applications from concept to deployment
  • Strong understanding of software engineering best practices (version control, testing, code review, documentation)
  • Experience working in agile/scrum environments with distributed teams
  • Excellent problem-solving skills and ability to work independently with minimal supervision
  • Strong written and verbal communication skills for client-facing interactions

Preferred:

  • Technical familiarity with AWS data and AI/ML services and modern data engineering practices
  • Hands-on experience with ETL/ELT processes and data transformation
  • Exposure to Generative AI concepts including LLMs, embeddings, RAG, and agent frameworks
  • Ability to write and optimize SQL queries across various database platforms
  • Knowledge of data modeling concepts and best practices
  • Strong analytical and problem-solving skills
  • Eagerness to learn new technologies and keep up with cloud and AI innovations
  • Excellent communication skills with the ability to explain technical concepts clearly
  • Attention to detail and commitment to solution quality
  • Collaborative mindset with strong teamwork capabilities
  • Experience or interest in automation and infrastructure as code
The salary range provided is a general guideline. When extending an offer, Innovative considers factors including, but not limited to, the responsibilities of the specific role, market conditions, geographic location, as well as the candidate’s professional experience, key skills, and education/training.

We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.