ZipRecruiter

Log In

1

Ai Engineer Salary In Jobs in Rome, GA (NOW HIRING)

PSG

LEAN MANUFACTURING ENGINEER

Cedartown, GA · On-site

Lean Manufacturing Engineer Salary: $90,000.00 - $95,000.00 + Bonus Company Overview: Leading ... We are committed to lean continuous improvement and innovation in our manufacturing processes to ...

PSG

LEAN MANUFACTURING ENGINEER

Cedartown, GA · On-site

Lean Manufacturing Engineer Salary: $90,000.00 - $95,000.00 + Bonus Company Overview: Leading ... We are committed to lean continuous improvement and innovation in our manufacturing processes to ...

Cargill

Manager, Platform Engineering

Cartersville, GA · On-site

$120K - $160K/yr

In this role, you will apply your knowledge of cybersecurity and AI engineering practices to secure ... Ability to multitask effectively. #HiPo Compensation Data The expected salary for this position is ...

Qcells

Sr. Cyber Security Engineer

White, GA

Description SUMMARY Senior Cyber Security Engineer will own the end-to-end design, strategy, and ... Experience in massive Cybersecurity operation and AI cyber security policies. * Experience in High ...

Qcells

Sr. Cyber Security Engineer

Cartersville, GA · On-site

Description SUMMARY Senior Cyber Security Engineer will own the end-to-end design, strategy, and ... Experience in massive Cybersecurity operation and AI cyber security policies. * Experience in High ...

EVCO Plastics

Project Engineer

Calhoun, GA · On-site

You'll engage in exciting projects that challenge your skills, allowing you to leverage your ... Salary, and Paid Time Off. Your journey as a Project Engineer awaits; take the leap and be a part ...

EVCO Plastics

Project Engineer

Calhoun, GA · On-site

You'll engage in exciting projects that challenge your skills, allowing you to leverage your ... Salary, and Paid Time Off. Your journey as a Project Engineer awaits; take the leap and be a part ...

EVCO Plastics

Project Engineer

Calhoun, GA · On-site

You'll engage in exciting projects that challenge your skills, allowing you to leverage your ... Salary, and Paid Time Off. Your journey as a Project Engineer awaits; take the leap and be a part ...

Qcells

Process Engineer (Module)

Cartersville, GA · On-site

Salary Exempt SUMMARY The Module Process Engineer must provide direction, guidance, and support to ... Be the driver in investigating, proposing, procuring and launching new process and operations ...

Qcells

Process Engineer (Module)

White, GA

Salary Exempt SUMMARY The Module Process Engineer must provide direction, guidance, and support to ... Be the driver in investigating, proposing, procuring and launching new process and operations ...

Qcells

Quality Engineer (Ingot)

Cartersville, GA · On-site

$64K - $82K/yr

Salary, Exempt Job Grade: G2 SUMMARY The Quality Engineer ( Ingot ) is responsible fo r incoming ... Participate in the design and implementation of quality control processes and systems. * Provide ...

Qcells

Quality Engineer (Ingot)

White, GA

$63K - $82K/yr

Salary, Exempt Job Grade: G2 SUMMARY The Quality Engineer (Ingot) is responsible for incoming ... Participate in the design and implementation of quality control processes and systems. * Provide ...

next page

Showing results 1-20

All JobsAi Engineer Salary In JobsAi Engineer Salary In Jobs in Rome, GA

Ai Engineer Salary In information

See Rome, GA salary details

$39K

$101.8K

$137.6K

How much do ai engineer salary in jobs pay per year?

As of Jul 3, 2026, the average yearly pay for ai engineer salary in in Rome, GA is $101,799.00, according to ZipRecruiter salary data. Most workers in this role earn between $84,000.00 and $116,600.00 per year, depending on experience, location, and employer.

What is the average salary of an AI Engineer in India?

The average salary of an AI Engineer in India ranges from ₹8 lakhs to ₹20 lakhs per year, depending on experience, location, and company. Entry-level AI engineers can expect to earn around ₹6-8 lakhs annually, while those with several years of experience or specialized skills may earn ₹20 lakhs or more. Factors such as the industry, educational background, and proficiency in machine learning, deep learning, or data science can also influence salary levels.

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

To thrive as an AI Engineer, you need a strong background in computer science, mathematics, and programming languages such as Python, along with a degree in a related field. Familiarity with machine learning frameworks like TensorFlow or PyTorch, experience with data processing tools, and sometimes certifications in AI or data science are highly valuable. Problem-solving, creativity, and effective communication are crucial soft skills for developing innovative AI solutions and collaborating with diverse teams. These skills and qualities ensure the ability to design, implement, and optimize AI systems that drive business and technological advancements.

What is the difference between Ai Engineer Salary In vs Data Scientist?

AspectAi EngineerData Scientist
Required CredentialsBachelor's in CS, AI, or related fields; experience with ML frameworksBachelor's or higher in CS, Statistics, or related fields; strong analytical skills
Work EnvironmentTech companies, R&D labs, AI startupsResearch firms, tech companies, finance, healthcare
Employer & Industry UsageDeveloping AI models, deploying AI solutionsAnalyzing data, building predictive models

Both roles require strong technical skills and similar educational backgrounds. Ai Engineers focus on developing and deploying AI systems, while Data Scientists analyze data to inform decisions. Salary differences depend on experience, location, and industry demand.

What are some common challenges AI Engineers face when working on real-world machine learning projects?

AI Engineers often encounter challenges such as dealing with imperfect or unbalanced datasets, managing computational resource limitations, and ensuring that models generalize well to new data. Collaboration with domain experts and data scientists is essential to accurately define project requirements and evaluate model performance. Additionally, AI Engineers need to keep up with rapidly evolving technologies and best practices to deliver impactful and scalable solutions in a team-oriented environment.

What is a $900000 AI job?

A $900,000 AI job typically refers to senior or executive roles such as AI Directors, Chief AI Officers, or senior machine learning engineers with extensive experience and specialized skills. These positions often involve leadership, strategic planning, and advanced technical expertise, and they may require advanced degrees and certifications. Compensation at this level reflects significant responsibility and industry demand for top-tier AI talent.

What engineers make $300,000 a year?

Senior AI engineers, machine learning engineers, and data science leads with extensive experience, advanced skills in deep learning, and proficiency in tools like TensorFlow or PyTorch can earn $300,000 or more annually. High compensation often depends on industry, location, company size, and individual expertise, especially in roles involving complex model development and deployment.

Is AI engineer a high paying job?

AI engineers typically earn high salaries due to the specialized skills required, such as expertise in machine learning, deep learning, and programming languages like Python. Salaries can vary based on experience, location, and industry, but overall, AI engineering is considered a well-compensated profession in the tech field.

What engineer makes $500,000 a year?

Highly experienced senior engineers in specialized fields such as software engineering, data engineering, or AI engineering can earn $500,000 or more annually, especially in senior leadership roles or at top tech companies. Achieving this level typically requires advanced skills, extensive experience, and often stock options or bonuses as part of compensation packages.
What are popular job titles related to Ai Engineer Salary In jobs in Rome, GA? For Ai Engineer Salary In jobs in Rome, GA, the most frequently searched job titles are:
What cities near Rome, GA are hiring for Ai Engineer Salary In jobs? Cities near Rome, GA with the most Ai Engineer Salary In job openings:
Ai Engineer Salary In jobs near you
Infographic showing various Ai Engineer Salary In job openings in Rome, GA as of June 2026, with employment types broken down into 52% Full Time, 26% Part Time, 3% Temporary, and 19% Contract. Highlights an 66% Physical, 3% Hybrid, and 31% Remote job distribution, with an average salary of $101,799 per year, or $48.9 per hour.
Senior MLOps & Generative AI Engineer - Remote

Senior MLOps & Generative AI Engineer - Remote

Sentara Healthcare

Centre, AL • On-site, Remote

$98K - $135K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 4 days ago

Sentara Health rating

6.8

Company rating: 6.8 out of 10

Based on 388 frontline employees who took The Breakroom Quiz

483rd of 877 rated healthcare providers

Job description

City/State
Virginia Beach, VA
Work Shift
First (Days)
Overview:
Sentara is hiring a Senior MLOps & Generative AI Engineer!
This position is fully remote!
Candidates must reside in one of the following states:
Alabama, Delaware, Florida, Georgia, Idaho, Indiana, Kansas, Louisiana, Maine, Maryland, Minnesota, Nebraska, Nevada, New Hampshire, North Dakota, Ohio, Oklahoma, Pennsylvania, South Carolina, South Dakota, Tennessee, Texas, Utah, Washington, West Virginia, Wisconsin, or Wyoming.
Overview
We are seeking a highly skilled and experienced Senior MLOps & Generative AI Engineer to join our growing AI organization and help advance current and future initiatives applying machine learning, deep learning, NLP, and Generative AI technologies to improve healthcare outcomes and operational excellence.
This role combines two critical focus areas:
  • MLOps Engineering - building and scaling enterprise-grade ML infrastructure, deployment pipelines, observability, governance, and automation capabilities.
  • Generative AI Engineering - designing, architecting, deploying, and optimizing secure, production-ready GenAI applications and platforms leveraging LLMs, RAG architectures, vector databases, prompt orchestration, and AI evaluation frameworks.

As a Senior Engineer, you will partner closely with AI Scientists, Data Engineers, Software Engineers, Architects, and Product teams to operationalize AI/ML and Generative AI solutions at enterprise scale. You will play a key role in shaping the organization's AI platform strategy, driving best practices, and delivering scalable, secure, and reliable AI systems in production healthcare environments.
Key Responsibilities
MLOps Engineering Responsibilities
  • Design, build, and maintain scalable ML infrastructure and pipelines supporting model training, deployment, monitoring, governance, and lifecycle management.
  • Develop and optimize CI/CD pipelines for machine learning and AI workloads across development, staging, and production environments.
  • Build reusable ML platform capabilities including feature stores, model registries, experimentation frameworks, artifact management, and deployment automation.
  • Implement scalable orchestration and workflow solutions for batch and real-time ML inference workloads.
  • Create robust monitoring systems to measure model performance, detect model drift, monitor data quality, and ensure production reliability.
  • Develop automation tools and self-service capabilities to improve the efficiency, scalability, and reliability of MLOps processes.
  • Collaborate with Data Scientists and Software Engineers to streamline the ML lifecycle from experimentation through enterprise production deployment.
  • Apply software engineering best practices to AI/ML systems including testing, observability, resiliency, security, versioning, and infrastructure-as-code.
  • Identify gaps and improvement opportunities within the organization's ML platform ecosystem and architect scalable solutions to address them.
  • Support enterprise AI governance, compliance, auditability, and model risk management requirements.
  • Ensure platform scalability, reliability, security, and operational excellence across AI/ML systems.

Generative AI Engineering Responsibilities
  • Lead the architecture, design, and deployment of enterprise Generative AI solutions leveraging LLMs, foundation models, and agentic AI systems.
  • Design and implement Retrieval-Augmented Generation (RAG) pipelines using vector databases, embeddings, semantic search, reranking, and retrieval optimization strategies.
  • Build scalable LLM orchestration frameworks using technologies such as LangChain, LlamaIndex, Semantic Kernel, or equivalent frameworks.
  • Develop advanced prompt engineering strategies, prompt chaining, context management, and agent workflows to improve LLM accuracy and reliability.
  • Evaluate and implement fine-tuning, parameter-efficient tuning, and prompt-based optimization approaches for domain-specific use cases.
  • Build AI evaluation and benchmarking frameworks to measure hallucination rates, response quality, grounding accuracy, toxicity, bias, latency, and business performance metrics.
  • Implement AI safety guardrails, governance controls, content filtering, and responsible AI practices for enterprise healthcare environments.
  • Design scalable GenAI APIs and microservices supporting high-throughput enterprise AI applications.
  • Optimize GenAI systems for cost, latency, throughput, and inference performance across cloud and hybrid environments.
  • Integrate enterprise data sources, healthcare systems, and knowledge repositories into secure GenAI workflows.
  • Research and evaluate emerging GenAI technologies, open-source frameworks, and foundation models to drive innovation and continuous improvement.
  • Develop architecture diagrams, technical roadmaps, implementation strategies, and executive-level documentation for enterprise AI initiatives.
  • Collaborate with cybersecurity, compliance, and infrastructure teams to ensure secure and compliant deployment of GenAI solutions involving PHI and sensitive healthcare data.
  • Contribute to the development of AI platform standards, reusable GenAI accelerators, templates, and engineering best practices.

Required Qualifications
  • 5+ years of experience building and deploying production software, ML systems, or AI platforms.
  • 1+ years of hands-on experience building production Generative AI or LLM-based applications.
  • Strong programming skills in Python and experience with software engineering best practices.
  • Experience with major deep learning and LLM frameworks such as PyTorch, Hugging Face Transformers, TensorFlow, or equivalent.
  • Hands-on experience implementing RAG architectures, vector search, embeddings, prompt engineering, and LLM orchestration frameworks.
  • Experience with vector databases such as Pinecone, Weaviate, Chroma, FAISS, Milvus, or equivalent technologies.
  • Experience deploying AI/ML systems in cloud environments including AWS, Azure, or GCP.
  • Strong understanding of APIs, distributed systems, microservices, and scalable backend architectures.
  • Experience with Kubernetes, containerization, orchestration, and cloud-native infrastructure.
  • Experience implementing CI/CD pipelines, infrastructure automation, and MLOps best practices.
  • Experience building monitoring, observability, and alerting solutions for ML and AI systems.
  • Strong understanding of AI/ML lifecycle management, governance, model versioning, and production operations.
  • Experience designing secure, scalable, production-ready AI platforms and services.
  • Strong communication and collaboration skills with the ability to work across technical and business teams.

Preferred Qualifications
  • Previous experience implementing Generative AI and MLOps solutions within healthcare environments.
  • Experience working with EPIC or healthcare interoperability platforms.
  • Understanding of HIPAA, PHI handling, healthcare compliance, and responsible AI practices.
  • Experience with AI governance frameworks, LLM evaluation methodologies, and AI safety tooling.
  • Experience with GPU infrastructure optimization and scalable inference architectures.
  • Familiarity with multi-agent AI systems and autonomous workflows.
  • Experience with event-driven architectures, streaming pipelines, and real-time inference systems.
  • Exposure to model fine-tuning techniques including LoRA, PEFT, RLHF, or domain adaptation strategies.
  • Experience with enterprise AI platform architecture and internal developer platforms.
  • Prior experience mentoring engineers and leading technical initiatives.

Education
  • 5+ years of relevant experience with a degree (Required)

or
  • 7+ years of relevant experience without a degree (Required)
  • Experience in lieu of Bachelor's Degree.

Certification/Licensure
  • No specific certification or licensure requirements

Experience
  • 5 to 7 years of relevant experience

We provide market-competitive compensation packages, inclusive of base pay, incentives, and benefits. The base pay rate for Full Time employment is: 91,416.00 - 152,380.80. Additional compensation may be available for this role such as shift differentials, standby/on-call, overtime, premiums, extra shift incentives, or bonus opportunities.
Keywords: Talroo-IT, MLOps, Gen AI, LLM, AWS, Azure, GCP, AI/ML, Python, PyTorch, Hugging Face Transformers, TensorFlow, RAG, EPIC, HIPAA, AI Governance
Benefits: Caring For Your Family and Your Career
• Medical, Dental, Vision plans
• Adoption, Fertility and Surrogacy Reimbursement up to 10,000
• Paid Time Off and Sick Leave
• Paid Parental & Family Caregiver Leave
• Emergency Backup Care
• Long-Term, Short-Term Disability, and Critical Illness plans
• Life Insurance
• 401k/403B with Employer Match
• Tuition Assistance - 5,250/year and discounted educational opportunities through Guild Education
• Student Debt Pay Down - 10,000
• Reimbursement for certifications and free access to complete CEUs and professional development
• Pet Insurance
• Legal Resources Plan
• Colleagues have the opportunity to earn an annual discretionary bonus if established system and employee eligibility criteria is met.
Sentara Health is an equal opportunity employer and prides itself on the diversity and inclusiveness of its close to an almost 30,000-member workforce. Diversity, inclusion, and belonging is a guiding principle of the organization to ensure its workforce reflects the communities it serves.
In support of our mission "to improve health every day," this is a tobacco-free environment.
For positions that are available as remote work, Sentara Health employs associates in the following states:
Alabama, Delaware, Florida, Georgia, Idaho, Indiana, Kansas, Louisiana, Maine, Maryland, Minnesota, Nebraska, Nevada, New Hampshire, North Carolina, North Dakota, Ohio, Oklahoma, Pennsylvania, South Carolina, South Dakota, Tennessee, Texas, Utah, Virginia, Washington, West Virginia, Wisconsin, and Wyoming.

What Sentara Health employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom

Apply