1

Senior Generative Ai Engineer Jobs in Missouri (NOW HIRING)

Senior AI Engineer

O Fallon, MO · Hybrid

$97K - $134K/yr

We are looking for a Senior AI Engineer, Generative AI & ML Engineering for the Operational Intelligence Program within B&MI. This role will expect Gen AI engineer to architect and deliver next ...

Senior AI Engineer

O Fallon, MO · On-site

$97K - $134K/yr

We are looking for a Senior AI Engineer, Generative AI & ML Engineering for the Operational Intelligence Program within B&MI. This role will expect Gen AI engineer to architect and deliver next ...

Senior AI Engineer

Chesterfield, MO · On-site

$54.75 - $70.50/hr

Sr AI Engineer / Data Scientist / MLOps Consultant Location: United States - Remote Employment Type ... Generative AI and Natural Language Processing (NLP) models, for our diverse client base.Key ...

Senior AI Engineer

Chesterfield, MO · Remote

$54.75 - $70.50/hr

Sr AI Engineer / Data Scientist / MLOps Consultant Location: United States - Remote Employment Type ... Implement and optimize cutting-edge Generative AI and NLP applications, demonstrating hands-on ...

Senior AI Engineer

O Fallon, MO · On-site

$97K - $134K/yr

As a Senior AI Engineer, you will work at the intersection of AI engineering and big data ... Generative AI, LLMs, RAG, or agentic AI applications. -Familiar with AI-assisted development tools ...

Senior AI Engineer

O Fallon, MO · On-site

$97K - $134K/yr

As a Senior AI Engineer, you will work at the intersection of AI engineering and big data ... Generative AI, LLMs, RAG, or agentic AI applications. -Familiar with AI-assisted development tools ...

... machine learning, generative AI, and agentic AI systems. * Architect and deliver scalable ... Serve as a senior hands‑on contributor, technical leader, and subject matter expert across the AI ...

Sr. AI Engineer

California, MO · On-site

$127 - $214/hr

As a Sr. AI Engineer II, you'll lead development of production-grade generative AI applications that power Samsara's GTM engine. You'll work at the cutting edge of applied AI: generating high-quality ...

AI Engineer II

Saint Louis, MO · On-site

$91K - $125K/yr

Build and support generative AI and agentic solutions using modern AI engineering practices and frameworks. * Develop and maintain data pipelines, integrations, and reusable data products that enable ...

AI Engineer II

Saint Louis, MO · On-site

$110 - $160/hr

Build and support generative AI and agentic solutions using modern AI engineering practices and frameworks. * Develop and maintain data pipelines, integrations, and reusable data products that enable ...

AI Engineer II

Saint Louis, MO · On-site

$91K - $125K/yr

Build and support generative AI and agentic solutions using modern AI engineering practices and frameworks. * Develop and maintain data pipelines, integrations, and reusable data products that enable ...

Senior AI Platform Engineer (DevOps)

O Fallon, MO · On-site

$121K - $156K/yr

Title and Summary Senior AI Platform Engineer (DevOps) Who is Mastercard? Mastercard powers ... Design, build, and operate enterprise AI platforms supporting machine learning, generative AI, and ...

New

As a Senior AI Scientist, you'll play a key role in continuously improving the quality, accuracy ... LLMs, generative AI, and conversational AI systems. * Hands-on experience with prompt engineering ...

next page

Showing results 1-20

Senior Generative Ai Engineer information

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.

What are the most commonly searched types of Generative Ai Engineer jobs in Missouri?

The most popular types of Generative Ai Engineer jobs in Missouri are:

What are popular job titles related to Senior Generative Ai Engineer jobs in Missouri?

For Senior Generative Ai Engineer jobs in Missouri, the most frequently searched job titles are:

What job categories do people searching Senior Generative Ai Engineer jobs in Missouri look for?

The top searched job categories for Senior Generative Ai Engineer jobs in Missouri are:

What cities in Missouri are hiring for Senior Generative Ai Engineer jobs?

Cities in Missouri with the most Senior Generative Ai Engineer job openings:

Generative AI Engineer

Kansas City, MO • On-site, Remote

Delan Associates, Inc
Engineering Professional Services • 51 - 200 employees

Contractor

Re-posted 5 days ago


Job description

Hiring: Generative AI Engineer
Location: Kansas City, MO (2 days/week onsite - Local candidates only)

Experience: 8+ Years

We're looking for an experienced Generative AI Engineer with expertise in:

Generative AI & Large Language Models (LLMs)

Retrieval-Augmented Generation (RAG)

Agentic AI Frameworks

Python & API Development

Azure and/or GCP Cloud Platforms

Workflow Automation & Document Intelligence

AI POC Development

Preferred: Banking/Financial Services experience and exposure to AI Governance, Risk & Compliance.

Employment Type: CONTRACTOR