Genai Engineer Jobs in Atlanta, GA
Genai Engineer jobs in Atlanta are concentrated in Midtown, Buckhead, and the Westside tech corridor, where demand is driven by fintech, healthcare AI, and enterprise software. Employers hiring right now include Deloitte, AIG, and Aig PC Global Services. Scan the live roles below and apply to whichever ones fit.
Find Genai Engineer JobsOverview
Showing 5 of 20+ Genai Engineer jobs
Date: Jun 5, 2026
Location: Atlanta, GA, US, 30308
Company: Norfolk Southern Corp.
Requisition 39922: B4 Lead Data Scientist (GenAI)
A resume helps you stand out to hiring managers and recruiters; your resume communicates your experience and your brand. While it is not required, we encourage you to include an up-to-date resume along with a completed job application to give you the best opportunity to be considered. A complete resume helps us to better understand your unique background, relevant experiences, and passions. We look forward to learning about you.
Norfolk Southern offers a unique opportunity to be part of our proud legacy that spans nearly 200 years. We are a customer-centric, operations-driven team dedicated to advancing safety, serving communities, and driving innovation for tomorrow's rail. As part of Norfolk Southern, you’ll join a collaborative team where there are opportunities for growth across the organization. We are building a culture where everyone can thrive by owning and driving exceptional results, being humble and leading with trust, serving our customers with excellence, and collaborating and coaching to win.
Job Description
Who we are and what we do:
Norfolk Southern Corporation is seeking a Lead Data Scientist (GenAI) to join our enterprise AI team. This role focuses on developing, optimizing, and enhancing intelligent solutions using Generative AI technologies, including Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), and Model Context Protocol (MCP) servers. The ideal candidate will partner with technical and business leaders across the enterprise to deliver scalable, secure, and high-performing AI capabilities that drive business value. The position involves working with cloud-based platforms, modern AI/ML frameworks, and collaborating across business units to solve complex problems.
What kind of problems do we solve:
- Document Intelligence: Analyze and extract insights from thousands of corporate documents, reports, and operational data using advanced NLP techniques.
- Conversational AI: Build intelligent chat systems that help employees retrieve information and interact with enterprise data.
- GenAI Solutions: Creating and deploying Generative AI models for document processing, visual data analysis, and natural language understanding.
- Model Context Protocol (MCP): Enhance AI agent capabilities through custom tool integrations and context-aware servers.
Responsibilities
- Lead design and architecture of enterprise GenAI solutions tailored to business use cases.
- Design modular, framework‑agnostic LLM pipelines using libraries such as LangChain, LlamaIndex, or similar
- Define prompting strategies, agent patterns, and RAG architectures. Ensure approaches are scalable, reusable company‑wide and drive adoption across teams.
- Oversee lifecycle of usecases: Development to Deployment to Production and MLops.
- Ensure responsible AI practices, including explainability, governance, and compliance.
- Evaluate emerging AI trends and help guide the adoption of high value innovations.
- Collaborate with cross-functional teams to understand business needs and deliver configurable, scalable solutions.
Education Required
- Bachelor’s in computer science, data science, machine learning, NLP, AI, linguistics, or related field required.
Skills Required:
- 4-7+ years of experience in Data Science, Machine Learning, NLP or AI positions.
- Extensive background in building, finetuning and operationalizing large language models (LLMs) in production environment.
- Proficiency in Python, including libraries such as Scikit-learn, PyTorch, Pandas, NumPy, spaCy, NLTK, and Matplotlib.
- Skilled in SQL, NoSQL, Milvus, Pinecone, PGVector databases
Skills Preferred:
- Advanced degree, e.g., Ph.D. or M.S. computer science, data science, machine learning, NLP, AI, linguistics, or related field preferred.
- Highly experienced in creating Agentic LLMs and knowledge of orchestration frameworks such as LangGraph.
- NLP and AI/ML Frameworks: Experience with training NLP models from scratch, working with Large Language Models, and using libraries such as spaCy, NLTK, and Transformers.
- Highly experienced with cloud platforms, preferably AWS (ECS, S3, Lambda, Bedrock, OpenSearch), Databricks, and Datadog.
- DevOps knowledge: Docker, Kubernetes, CI/CD, Git, Terraform.
Work Conditions
Environment: Hybrid 2-3 days on-site and remote work 3-2 days per week.
Shift Work: No
On-Call: No
Weekend Work: No
#IND
Company Overview
Since 1827, Norfolk Southern Corporation (NYSE: NSC) and its predecessor companies have safely moved the goods and materials that drive the U.S. economy. Today, it operates a customer-centric and operations-driven freight transportation network. Committed to furthering sustainability, Norfolk Southern helps its customers avoid 15 million tons of yearly carbon emissions by shipping via rail. Its dedicated team members deliver more than 7 million carloads annually, from agriculture to consumer goods, and is the largest rail shipper of auto products and metals in North America. Norfolk Southern also has the most extensive intermodal network in the eastern U.S., serving a majority of the country’s population and manufacturing base, with connections to every major container port on the Atlantic coast as well as the Gulf of Mexico and Great Lakes. Learn more by visiting www.NorfolkSouthern.com.
At Norfolk Southern, we believe in celebrating our individuality. By leveraging the unique backgrounds and viewpoints of our employees, we can create a culture of innovation, respect, and inclusion. We know that employees thrive in a workplace where differing viewpoints, ideas, and experiences are freely shared and valued. As such, we encourage all employees to contribute their distinctive skills and capabilities to our organization.
Equal employment opportunities are available to all applicants regardless of race, color, religion, age, sex, national origin, disability status, genetic information, veteran status, sexual orientation, and gender identity. Together, we power progress.
Date: Jun 5, 2026
Location: Atlanta, GA, US, 30308
Company: Norfolk Southern Corp.
Requisition 39922: B4 Lead Data Scientist (GenAI)
A resume helps you stand out to hiring managers and recruiters; your resume communicates your experience and your brand. While it is not required, we encourage you to include an up-to-date resume along with a completed job application to give you the best opportunity to be considered. A complete resume helps us to better understand your unique background, relevant experiences, and passions. We look forward to learning about you.
Norfolk Southern offers a unique opportunity to be part of our proud legacy that spans nearly 200 years. We are a customer-centric, operations-driven team dedicated to advancing safety, serving communities, and driving innovation for tomorrow's rail. As part of Norfolk Southern, you’ll join a collaborative team where there are opportunities for growth across the organization. We are building a culture where everyone can thrive by owning and driving exceptional results, being humble and leading with trust, serving our customers with excellence, and collaborating and coaching to win.
Job Description
Who we are and what we do:
Norfolk Southern Corporation is seeking a Lead Data Scientist (GenAI) to join our enterprise AI team. This role focuses on developing, optimizing, and enhancing intelligent solutions using Generative AI technologies, including Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), and Model Context Protocol (MCP) servers. The ideal candidate will partner with technical and business leaders across the enterprise to deliver scalable, secure, and high-performing AI capabilities that drive business value. The position involves working with cloud-based platforms, modern AI/ML frameworks, and collaborating across business units to solve complex problems.
What kind of problems do we solve:
- Document Intelligence: Analyze and extract insights from thousands of corporate documents, reports, and operational data using advanced NLP techniques.
- Conversational AI: Build intelligent chat systems that help employees retrieve information and interact with enterprise data.
- GenAI Solutions: Creating and deploying Generative AI models for document processing, visual data analysis, and natural language understanding.
- Model Context Protocol (MCP): Enhance AI agent capabilities through custom tool integrations and context-aware servers.
Responsibilities
- Lead design and architecture of enterprise GenAI solutions tailored to business use cases.
- Design modular, framework‑agnostic LLM pipelines using libraries such as LangChain, LlamaIndex, or similar
- Define prompting strategies, agent patterns, and RAG architectures. Ensure approaches are scalable, reusable company‑wide and drive adoption across teams.
- Oversee lifecycle of usecases: Development to Deployment to Production and MLops.
- Ensure responsible AI practices, including explainability, governance, and compliance.
- Evaluate emerging AI trends and help guide the adoption of high value innovations.
- Collaborate with cross-functional teams to understand business needs and deliver configurable, scalable solutions.
Education Required
- Bachelor’s in computer science, data science, machine learning, NLP, AI, linguistics, or related field required.
Skills Required:
- 4-7+ years of experience in Data Science, Machine Learning, NLP or AI positions.
- Extensive background in building, finetuning and operationalizing large language models (LLMs) in production environment.
- Proficiency in Python, including libraries such as Scikit-learn, PyTorch, Pandas, NumPy, spaCy, NLTK, and Matplotlib.
- Skilled in SQL, NoSQL, Milvus, Pinecone, PGVector databases
Skills Preferred:
- Advanced degree, e.g., Ph.D. or M.S. computer science, data science, machine learning, NLP, AI, linguistics, or related field preferred.
- Highly experienced in creating Agentic LLMs and knowledge of orchestration frameworks such as LangGraph.
- NLP and AI/ML Frameworks: Experience with training NLP models from scratch, working with Large Language Models, and using libraries such as spaCy, NLTK, and Transformers.
- Highly experienced with cloud platforms, preferably AWS (ECS, S3, Lambda, Bedrock, OpenSearch), Databricks, and Datadog.
- DevOps knowledge: Docker, Kubernetes, CI/CD, Git, Terraform.
Work Conditions
Environment: Hybrid 2-3 days on-site and remote work 3-2 days per week.
Shift Work: No
On-Call: No
Weekend Work: No
#IND
Company Overview
Since 1827, Norfolk Southern Corporation (NYSE: NSC) and its predecessor companies have safely moved the goods and materials that drive the U.S. economy. Today, it operates a customer-centric and operations-driven freight transportation network. Committed to furthering sustainability, Norfolk Southern helps its customers avoid 15 million tons of yearly carbon emissions by shipping via rail. Its dedicated team members deliver more than 7 million carloads annually, from agriculture to consumer goods, and is the largest rail shipper of auto products and metals in North America. Norfolk Southern also has the most extensive intermodal network in the eastern U.S., serving a majority of the country’s population and manufacturing base, with connections to every major container port on the Atlantic coast as well as the Gulf of Mexico and Great Lakes. Learn more by visiting www.NorfolkSouthern.com.
At Norfolk Southern, we believe in celebrating our individuality. By leveraging the unique backgrounds and viewpoints of our employees, we can create a culture of innovation, respect, and inclusion. We know that employees thrive in a workplace where differing viewpoints, ideas, and experiences are freely shared and valued. As such, we encourage all employees to contribute their distinctive skills and capabilities to our organization.
Equal employment opportunities are available to all applicants regardless of race, color, religion, age, sex, national origin, disability status, genetic information, veteran status, sexual orientation, and gender identity. Together, we power progress.
See All 20 Genai Engineer Jobs in Atlanta
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Find Genai Engineer JobsGenai Engineer Job Market in Atlanta
Who's Hiring
- Deloitte7
- AIG6
- Aig PC Global Services2
- PwC1
- Capgemini1
Top Industries Hiring
- Insurance9
- Consulting & Professional Services8
- Accounting & Auditing7
- Investment & Asset Management7
- Technology & Software2
Genai Engineer Jobs in Atlanta: Frequently Asked Questions
How do I get a genai engineer job in Atlanta?
Focus on Atlanta's strongest hiring sectors: fintech companies clustered in Buckhead, health systems expanding AI capabilities in Midtown, and enterprise software firms anchored in the Perimeter and Westside tech corridor. Candidates who show hands-on experience with large language models, retrieval-augmented generation, or production ML pipelines stand out locally. Targeting employers with active AI transformation initiatives in these districts gives you the clearest path in.
Which companies hire genai engineers in Atlanta?
Atlanta genai engineer roles are posted by Deloitte, AIG, and Aig PC Global Services and others right now, based on current listings on Migrate Mate as of June 2026. Atlanta's hiring mix leans toward financial services firms, large health systems, and mid-size SaaS companies that are building internal AI products rather than outsourcing development.
Are there remote genai engineer jobs in Atlanta?
Yes, though availability varies: genai engineering skews toward remote and hybrid work since most of the role involves model development, prompt engineering, and code that does not require a physical presence. About 29% of genai engineer openings tied to Atlanta are remote or hybrid as of June 2026. The most fully remote roles tend to be in model evaluation, fine-tuning, and API integration rather than embedded product or on-site deployment work.
How can I get a genai engineer job in Atlanta with little or no experience?
The most realistic entry path in Atlanta is through ML engineering or data engineering roles at mid-size SaaS companies and health tech firms, which regularly hire junior candidates who can demonstrate project work with open-source LLMs. Atlanta's startup scene in the Westside and Ponce City Market area offers junior AI roles with broader scope than larger enterprises. Building a portfolio with retrieval-augmented generation or fine-tuning projects and contributing to open-source tools makes candidates competitive at that level.
Which industries hire the most genai engineers in Atlanta?
The sectors hiring the most genai engineers in Atlanta are Insurance, Consulting & Professional Services, and Accounting & Auditing, based on current listings on Migrate Mate as of June 2026. Atlanta's position as a regional hub for financial services and one of the largest health system markets in the Southeast drives unusually strong demand relative to other mid-size U.S. cities.
See All 20 Genai Engineer Jobs in Atlanta
Find roles in Atlanta that match your experience and apply in just a few clicks.
Find Genai Engineer Jobs