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Senior Generative Ai Engineer Jobs (NOW HIRING)

Dutech Systems

We are seeking an experienced Senior Generative AI / Agentic AI Engineer to design, develop, and implement AI-powered solutions using Generative AI, Agentic AI, RAG, Custom GPTs, and workflow ...

Beehive AI, Inc.

$84K - $101K/yr

Artificial Intelligence (Generative AI) Engineer San Francisco Bay Area (on-site) or USA (remote) Job Type Full Time About the Company Beehive AI provides a generative AI platform designed ...

Trndigital

Position Overview We're seeking an experienced AI Engineer with strong expertise in Generative AI to join our growing team. You'll work directly with enterprise clients to design, implement, and ...

Trndigital

AI Engineer - Generative AI

Boston, MA · On-site

Position Overview We're seeking an experienced AI Engineer with strong expertise in Generative AI to join our growing team. You'll work directly with enterprise clients to design, implement, and ...

Abhyanth Solutions

Generative AI Engineer

Fremont, CA · On-site

Generative AI Engineer - Fremont, CA Location: Fremont, CA | Job Type: Full-Time Required Qualifications * 10+ years of professional full-stack software engineering experience. * Proven experience ...

Apex Systems

Generative AI Engineer

Jersey City, NJ · On-site

Job#: 3049135 Generative AI Engineer Location: Jersey City, New Jersey (Onsite) Role Overview You will join a team driving innovation in Artificial Intelligence. This position involves building the ...

Apetan Consulting llc

Generative AI Engineer

Houston, TX · On-site

$55 - $60/hr

Generative AI Engineer Work Location: Houston, TX Duration: 6-12 Months Contract Work Mode: Onsite ... Work alongside senior engineers to design and ship AI-powered remediation capabilities: agent ...

Equifax, Inc.

Generative AI Engineer

Atlanta, GA · On-site

We seek a dynamic and driven individual with a strong technical foundation to serve as a Generative AI Engineer. You will leverage our data, technology, and analytics to build LLM pipelines that ...

Equifax, Inc.

Generative AI Engineer

Atlanta, GA · On-site

We seek a dynamic and driven individual with a strong technical foundation to serve as a Generative AI Engineer. You will leverage our data, technology, and analytics to build LLM pipelines that ...

Equifax, Inc.

Generative AI Engineer

Atlanta, GA · On-site

We seek a dynamic and driven individual with a strong technical foundation to serve as a Generative AI Engineer. You will leverage our data, technology, and analytics to build LLM pipelines that ...

Jobtailor

Senior Generative AI Designer

Manhattan, NY · On-site

Combine generative AI with traditional production techniques * Enhance outputs through compositing, retouching, color grading, VFX and finishing workflows * Interpret feedback and client notes into ...

TekCommands Inc

AWS + Generative AI Engineer

Chicago, IL · On-site

$66.75 - $87.50/hr

We are looking for an experienced AWS + Generative AI Engineer to design and develop secure, scalable, and AI-powered cloud solutions on AWS. The ideal candidate will have expertise in AWS Machine ...

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Senior Generative Ai Engineer information

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$59.5K

$126.6K

$183.5K

How much do senior generative ai engineer jobs pay per year?

As of Sep 10, 2026, the average yearly pay for senior generative ai engineer in the United States is $126,557.00, according to ZipRecruiter salary data. Most workers in this role earn between $104,500.00 and $143,500.00 per year, depending on experience, location, and employer.

What does a senior generative AI engineer do?

A Senior Generative AI Engineer designs, develops, and implements advanced artificial intelligence models, particularly those focused on generating content such as text, images, or audio. They work with large datasets, build and fine-tune generative models like GPT or diffusion models, and oversee the deployment of these systems into production environments. Additionally, they collaborate with cross-functional teams to integrate AI capabilities into products, optimize model performance, and ensure ethical AI practices are followed.

What are the key skills and qualifications needed to thrive as a senior generative AI engineer, and why are they important?

To thrive as a Senior Generative AI Engineer, you need deep expertise in machine learning, deep learning, and natural language processing, typically backed by an advanced degree in computer science or related fields. Proficiency in frameworks like TensorFlow or PyTorch, experience with cloud platforms (e.g., AWS, Azure), and familiarity with large language models are essential, along with relevant certifications. Strong problem-solving skills, creativity, and effective communication set standout engineers apart in this role. These skills and qualities are crucial for designing innovative AI solutions, collaborating across teams, and advancing the capabilities of generative models in real-world applications.

What are some of the unique challenges senior generative AI engineers face when deploying models in production environments?

Senior Generative AI Engineers often encounter challenges such as ensuring model reliability, addressing biases in generated outputs, and managing the significant computational resources required for deployment. There's also a strong need to collaborate with cross-functional teams, including data engineers, product managers, and domain experts, to ensure the solutions align with business goals and maintain user trust. Balancing innovation with ethical considerations and scalability is crucial in this fast-evolving field.

What is the difference between Senior Generative Ai Engineer vs Machine Learning Engineer?

AspectSenior Generative Ai EngineerMachine Learning Engineer
Required CredentialsBachelor's/Master's in CS, AI, or related; experience with generative modelsBachelor's/Master's in CS, Data Science, or related; strong ML fundamentals
Work EnvironmentResearch and development focused, often in AI startups or tech companiesData analysis, model development, often across various industries
Employer & Industry UsageTech firms, AI startups, research institutionsTech, finance, healthcare, and other sectors utilizing ML solutions

The main difference is that Senior Generative Ai Engineers specialize in developing and optimizing generative models like GPT or GANs, focusing on AI creativity and content generation. Machine Learning Engineers have a broader scope, working on various ML algorithms and applications across multiple industries. Both roles require strong technical skills, but the Senior Generative Ai Engineer's expertise is more specialized in generative AI technologies.

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Senior Generative Ai Engineer jobs near you
Infographic showing various Senior Generative Ai Engineer job openings in the United States as of September 2026, with employment types broken down into 1% Internship, 76% Full Time, 19% Part Time, and 4% Contract. Highlights an 63% Physical, 4% Hybrid, and 33% Remote job distribution, with an average salary of $126,557 per year, or $60.8 per hour.

Generative AI Engineer

Indianapolis, IN • On-site

Prophecy Technologies
Professional, Scientific, and Technical Services • 11 - 50 employees
Learn more about Prophecy Technologiesexternal

Full-time

Posted 10 days ago

Job description

Role Overview:
Design, engineer, and implement enterprise-scale AI/ML and generative AI solutions for clinical data workflows. This role requires delivering secure, scalable architectures independently while maintaining accountability for project delivery and technical excellence.
Key Responsibilities:
  • Conceive, design, and implement AI solutions; analyze workflows and devise innovative technical approaches.
  • Design secure, scalable architectures for AI/ML, generative AI, and agentic solutions.
  • Design and implement emerging AI technologies such as RAG, agentic workflows, and agent-to-agent communication.
  • Build and deploy predictive analytics and generative AI solutions to production environments.
  • Develop robust data/model pipelines, APIs, and integration layers; establish AI/MLOps best practices.
  • Implement CI/CD, monitoring, and observability for AI/ML systems.
  • Own project scope and delivery accountability.

Required Skills:
  • Cloud Platforms: AWS (SageMaker, EC2, S3, Lambda, RDS, Glue, Athena, DynamoDB, Postgres), Databricks (Platform, Delta Lake, Spark, MLflow, SQL).
  • Programming Languages & ML: Python, PySpark, SQL.
  • DevOps & Infrastructure: Git, CI/CD, Docker, Kubernetes, IaC (Terraform/CloudFormation).
  • AI/Data Technologies: Generative AI frameworks, Large Language Models (LLMs), vector databases, Apache Spark.

Qualifications:
  • Bachelor's degree (BS) in Computer Science, Engineering, Mathematics, Statistics or equivalent professional experience.
  • 5+ years of experience in software, data, or ML engineering.
  • 3+ years of experience deploying ML solutions in production environments.

Preferred Skills:
  • Digital Artificial Intelligence (AI) expertise.

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