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Generative Ai Developer Jobs in Missouri (NOW HIRING)

Responsibilities * design and implement secure cloud architectures for enterprise-scale Generative ... and risk assessments for AI systems * partner with AI engineers and platform teams to ...

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

Chesterfield, MO · On-site

$54.75 - $70.50/hr

... Generative AI and Natural Language Processing (NLP) models, for our diverse client base.Key ... of programming for data-intensive and scalable ML applications. • Proven experience in deploying ...

... across generative AI (GenAI), deep learning, and traditional machine learning. This technologist ... You will closely partner with leaders in Data Engineering, Product, Security, Risk & Compliance ...

Our Live + AI™ platform fuses real-time human expertise with proprietary generative-AI systems ... Strong front-end engineering skills (React or similar), with a demonstrated eye for visual design ...

AWS Certified Cloud Practitioner, AWS Certified Solutions Architect (Associate), AWS Certified AI Practitioner (AIF-C01), AWS Certified Generative AI Developer (Professional - AIP-C01), AWS Certified ...

Generative AI Innovation: Explore and implement innovative applications of generative AI, including ... Collaborate with engineering, data science, UX/UI, and marketing teams to define requirements ...

... generative AI initiatives. - Configure and support Oracle AI and analytics platforms including ... engineers, cloud administrators, developers, data engineers, and analytics teams. - Conduct ...

Showing results 21-40

Generative Ai Developer information

See Missouri salary details

$17

$42

$94

How much do generative ai developer jobs pay per hour?

As of Aug 15, 2026, the average hourly pay for generative ai developer in Missouri is $42.48, according to ZipRecruiter salary data. Most workers in this role earn between $22.12 and $51.39 per hour, depending on experience, location, and employer.

What are some common challenges faced by generative AI developers when deploying models in production environments?

Generative AI Developers often encounter challenges such as ensuring model reliability, managing computational resource requirements, and addressing ethical considerations like data bias or content safety. Deploying generative models at scale requires robust monitoring to detect unexpected outputs or model drift, and collaboration with data engineers and product teams to optimize performance. Staying up-to-date with evolving frameworks and best practices is essential, as production environments demand both technical rigor and adaptability to new AI advancements.

What are the key skills and qualifications needed to thrive as a generative AI developer?

To thrive as a Generative AI Developer, you need strong programming skills (especially in Python), a deep understanding of machine learning concepts, and an advanced degree in computer science or a related field. Familiarity with frameworks like TensorFlow, PyTorch, and experience with cloud platforms or model deployment tools are typically required. Creative problem-solving, adaptability, and effective collaboration are standout soft skills in this evolving field. These abilities are crucial to design, implement, and refine generative models that solve real-world problems and drive innovation.

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

AspectGenerative Ai DeveloperMachine Learning Engineer
CredentialsBachelor's or higher in CS, AI, or related fields; experience with deep learning frameworksBachelor's or higher in CS, Data Science, or related fields; strong programming skills
Work EnvironmentDevelops AI models for content creation, chatbots, and creative applicationsBuilds and deploys ML models for various data-driven solutions across industries
Industry UsageTech, entertainment, marketing, and creative sectorsFinance, healthcare, tech, and e-commerce sectors

While both roles involve AI and machine learning, Generative Ai Developers focus on creating models that generate content, such as images or text, whereas Machine Learning Engineers develop broader ML solutions for diverse applications. The roles often overlap but differ mainly in their specific focus areas and use cases.

What is a generative AI developer?

A Generative AI Developer is a technology professional who specializes in designing, building, and deploying artificial intelligence systems that can create new content, such as text, images, audio, or code. They work with advanced machine learning models, like generative adversarial networks (GANs) or large language models, to enable computers to produce original outputs. These developers often collaborate with data scientists, researchers, and product teams to integrate AI-generated content into software applications and business solutions.

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

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

What cities in Missouri are hiring for Generative Ai Developer jobs?

Cities in Missouri with the most Generative Ai Developer job openings:

Infographic showing various Generative Ai Developer job openings in Missouri as of August 2026, with employment types broken down into 81% Full Time, 16% Part Time, and 3% Contract. Highlights an 67% Physical, 4% Hybrid, and 29% Remote job distribution, with an average salary of $88,359 per year, or $42.5 per hour.

Software Engineering Manager 3 (Agentic AI and Generative AI strategy)

US Bank

Earth City, MO

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 7 days ago


U.S. Bank rating

8.2

Company rating: 8.2 out of 10

Based on 360 frontline employees who took The Breakroom Quiz

51st of 171 rated banks


Job description

At U.S. Bank, we're on a journey to do our best. Helping the customers and businesses we serve to make better and smarter financial decisions and enabling the communities we support to grow and succeed. We believe it takes all of us to bring our shared ambition to life, and each person is unique in their potential. A career with U.S. Bank gives you a wide, ever-growing range of opportunities to discover what makes you thrive at every stage of your career. Try new things, learn new skills and discover what you excel at-all from Day One.

Job Description

Responsibilities

  • Define and execute the Agentic AI and Generative AI strategy supporting Home Lending and Mortgage Operations.

  • Partner with executives across Technology, Operations, Risk, Compliance, Architecture, and AI COE to prioritize and deliver high-value AI initiatives.

  • Lead evaluation, design, and deployment of AI-powered solutions including intelligent automation, workflow orchestration, and decision-support capabilities.

  • Drive AI proofs of concept through pilot and production implementation, ensuring measurable business impact.

  • Champion engineering excellence, secure-by-design practices, architecture standards, and continuous improvement.

  • Develop multi-year AI, automation, and platform modernization roadmaps aligned to business and technology priorities.

  • Evaluate AI platforms, vendor solutions, and developer productivity tools to accelerate innovation and engineering effectiveness.

  • Ensure compliance with enterprise security, privacy, model governance, audit, and responsible AI standards.

  • Lead, coach, and develop engineering teams while providing executive-ready updates on roadmap progress, risks, investments, and outcomes.

AI Strategy & Enablement
  • Define and drive the strategic vision for Agentic AI, Generative AI, and intelligent automation across Home Lending technology platforms.
  • Partner with senior leaders across Technology, Operations, Risk, Architecture, and AI Centers of Excellence to align AI initiatives with enterprise priorities.
  • Lead adoption of emerging AI capabilities, driving measurable business outcomes, operational efficiency, and responsible AI governance.
  • Serve as a trusted advisor to executive stakeholders on AI-enabled modernization and transformation opportunities.
Engineering Modernization & Innovation
  • Lead evaluation, proof-of-concept development, and implementation of emerging AI, automation, workflow, and cloud technologies.
  • Drive adoption of AI-powered engineering productivity tools and modern software engineering practices.
  • Champion engineering excellence through architectural standards, code quality, automation, and continuous improvement initiatives.
  • Partner with product, architecture, security, and business teams to scale innovative solutions into enterprise production environments.
Platform Strategy & Transformation
  • Develop and execute multi-year engineering, automation, and modernization roadmaps aligned with enterprise and business objectives.
  • Prioritize investments across AI, workflow automation, cloud modernization, and platform capabilities based on business value, risk, and strategic impact.
  • Translate complex technical opportunities into clear business outcomes and value-driven investment cases.
  • Evaluate technology partnerships and vendor solutions to ensure alignment with enterprise architecture, security, and compliance standards.
Risk, Governance & Compliance
  • Ensure adherence to enterprise security, privacy, audit, regulatory, and AI governance requirements.
  • Embed secure-by-design and compliant engineering practices across all technology solutions.
  • Partner with Risk and Compliance teams to mitigate operational, technology, and model-related risks.
Leadership & Stakeholder Management
  • Lead, coach, and develop high-performing engineering teams while fostering a culture of accountability, innovation, and continuous learning.
  • Build strong partnerships across Consumer Lending, Technology, and Business organizations to drive strategic outcomes.
  • Communicate technology roadmaps, delivery progress, risks, and business value to executive stakeholders.
  • Influence investment and prioritization decisions through data-driven insights and measurable business impact.

Basic Qualifications
- Bachelor's degree, or equivalent work experience
- Six to eight years of relevant technical experience
- Five or more years of leading a software engineering team

Preferred Skills & Experience

  • Experience leading software engineering teams and delivering enterprise-scale technology solutions.

  • Strong understanding of Generative AI, Agentic AI, LLMs, AI agents, prompt engineering, and AI orchestration frameworks.

  • Experience with agentic frameworks such as LangChain, LangGraph, MCP, A2A, and emerging AI standards.

  • Hands-on experience with cloud platforms including Azure or AWS, cloud-native services, APIs, storage, compute, Docker, and Kubernetes.

  • Knowledge of AI services such as Azure OpenAI, Azure AI Services, Document Intelligence, AWS AI/ML, or similar platforms.

  • Ability to develop business cases and translate AI, automation, and modernization opportunities into measurable business value.

  • Experience partnering with Legal, Compliance, Risk, Security, and vendors to implement governed AI solutions in regulated environments.

  • Strong leadership, communication, stakeholder management, and organizational change management skills.

  • Banking, Mortgage Lending, Consumer Lending, Financial Services, or highly regulated industry experience preferred.

Location expectations
This role requires working from a U.S. Bank location three (3) or more days per week.

If there's anything we can do to accommodate a disability during any portion of the application or hiring process, please refer to ourdisability accommodations for applicants.

Benefits:

Our approach to benefits and total rewards considers our team members' whole selves and what may be needed to thrive in and outside work. That's why our benefits are designed to help you and your family boost your health, protect your financial security and give you peace of mind. Our benefits include the following:

  • Healthcare (medical, dental, vision)

  • Basic term and optional term life insurance

  • Short-term and long-term disability

  • Pregnancy disability and parental leave

  • 401(k) and employer-funded retirement plan

  • Paid vacation (from two to five weeks depending on salary grade and tenure)

  • Up to 11 paid holiday opportunities

  • Adoption assistance

  • Sick and Safe Leave accruals of one hour for every 30 worked, up to 80 hours per calendar year unless otherwise provided by law

Review our full benefits available by employment status here.

U.S. Bank is an equal opportunity employer. We consider all qualified applicants without regard to race, religion, color, sex, national origin, age, sexual orientation, gender identity, disability or veteran status, and other factors protected under applicable law.

E-Verify

U.S. Bank participates in the U.S. Department of Homeland Security E-Verify program in all facilities located in the United States and certain U.S. territories. The E-Verify program is an Internet-based employment eligibility verification system operated by the U.S. Citizenship and Immigration Services. Learn more about theE-Verify program.

The salary range reflects figures based on the primary location, which is listed first. The actual range for the role may differ based on the location of the role. In addition to salary, U.S. Bank offers a comprehensive benefits package, including incentive and recognition programs, equity stock purchase 401(k) contribution and pension (all benefits are subject to eligibility requirements). Pay Range: $126,820.00 - $149,200.00

U.S. Bank will consider qualified applicants with arrest or conviction records for employment. U.S. Bank conducts background checks consistent with applicable local laws, including the Los Angeles County Fair Chance Ordinance and the California Fair Chance Act as well as the San Francisco Fair Chance Ordinance. U.S. Bank is subject to, and conducts background checks consistent with the requirements of Section 19 of the Federal Deposit Insurance Act (FDIA). In addition, certain positions may also be subject to the requirements of FINRA, NMLS registration, Reg Z, Reg G, OFAC, the NFA, the FCPA, the Bank Secrecy Act, the SAFE Act, and/or federal guidelines applicable to an agreement, such as those related to ethics, safety, or operational procedures.

Applicants must be able to comply with U.S. Bank policies and procedures including the Code of Ethics and Business Conduct and related workplace conduct and safety policies.

Posting may be closed earlier due to high volume of applicants.


What U.S. Bank employees say

Pay

Benefits

Hours and flexibility

Workplace

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About U.S. Bank

Sourced by ZipRecruiter

U.S. Bank is a reputable and established financial institution that plays a significant role in the banking sector. With a history spanning over 150 years, U.S. Bank has built a strong foundation of trust and reliability. As a comprehensive bank, they offer a wide array of financial products and services to cater to the diverse needs of their customers, including individuals, businesses, and communities. Customer satisfaction is of utmost importance to U.S. Bank. They prioritize delivering exceptional service and fostering long-term relationships with their clients. Through their extensive network of branches and advanced digital banking platforms, U.S. Bank ensures convenient access to their services, empowering customers to manage their finances efficiently and securely.

Industry

Banking and credit intermediation

Company size

10,000+ Employees

Headquarters location

Minneapolis, MN, US

Year founded

1863

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