1

Ai Engineer Developer Jobs in Missouri (NOW HIRING)

Lead AI Engineer

O Fallon, MO · On-site

$95K - $126K/yr

Title and Summary Lead AI Engineer Overview: This role seeks an established AI engineering subject-matter expert who applies deep domain and technical expertise to drive critical business outcomes.

Principal AI Engineer Location: Springfield, Missouri Department: Information Technology Employment Type: Full-time Job Summary: Join a compassionate, collaborative team making a measurable ...

Lead AI Engineer

O Fallon, MO · On-site

$95K - $126K/yr

Title and Summary Lead AI Engineer Overview: This role seeks an established AI engineering subject-matter expert who applies deep domain and technical expertise to drive critical business outcomes.

Senior AI Engineer

Saint Louis, MO · Remote

$75 - $81.56/hr

Job#: 3033249 Senior AI Engineer Location: St. Louis, Missouri (Partial Remote) Employment Type: Contract Role Overview This is a senior, hands-on AI Engineer position focused on execution. The role ...

AI Data Engineer - Senior Consultant

Saint Louis, MO · Hybrid

$101K - $139K/yr

... DevOps/DevSecOps experience (CI/CD, IaC such as Terraform/CloudFormation, Docker/Kubernetes ... AI Engineer Senior Consultant Our Deloitte Human Capital team transforms technology platforms ...

AI Data Engineer - Senior Consultant

Kansas City, MO · Hybrid

$102K - $140K/yr

... DevOps/DevSecOps experience (CI/CD, IaC such as Terraform/CloudFormation, Docker/Kubernetes ... AI Engineer Senior Consultant Our Deloitte Human Capital team transforms technology platforms ...

Senior AI Engineer - SFL Scientific

Saint Louis, MO · On-site

$101K - $139K/yr

SysOps Administrator, DevOps Engineer, Solutions Architect) * 2+ years of experience with GPU ... Work You'll Do As a Senior AI Engineer, you'll work cross-functionally with data scientists ...

Senior Security AI Engineer

Kansas City, MO · Hybrid

$111K - $153K/yr

Partner with DevOps and engineering teams to embed security into CI/CD pipelines. AI Security & Governance Evaluate and secure AI/ML systems, including LLMs, model pipelines, and data flows.

Senior Security AI Engineer

Kansas City, MO · On-site

$111K - $153K/yr

... with DevOps and engineering teams to embed security into CI/CD pipelines. AI Security & Governance • Evaluate and secure AI/ML systems, including LLMs, model pipelines, and data flows. • ...

Senior Security AI Engineer

Kansas City, MO · Hybrid

$111K - $153K/yr

... with DevOps and engineering teams to embed security into CI/CD pipelines. AI Security & Governance • Evaluate and secure AI/ML systems, including LLMs, model pipelines, and data flows. • ...

AI/ML Engineer Location: Springfield, MO (onsite) Job Type: Contract Note: Hand on - AI Engineer, Agentic AI solutions, Architect and implement AI agents, agent orch., leverage AWS bedrock , Apply ...

Physical and Spatial AI Engineer III

Kansas City, MO · On-site

$56 - $75.50/hr

Physical & Spatial AI, Cloud Integrated Infrastructure Engineer III Join our AI & Engineering team in transforming technology platforms, driving innovation, and helping make a significant impact on ...

Physical and Spatial AI Engineer III

Saint Louis, MO · On-site

$56 - $75/hr

Physical & Spatial AI, Cloud Integrated Infrastructure Engineer III Join our AI & Engineering team in transforming technology platforms, driving innovation, and helping make a significant impact on ...

... software developer, designed for someone who can operate across the full lifecycle of AI system development. You'll play a key role in defining, developing, and evolving software in an agile ...

$35 - $50/hr

Our partner is looking for a Senior AI Engineer (Clients) - Supernal based in Netherlands. This role sits at the intersection of advanced software engineering, AI systems design, and real-world ...

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: Full-Time and Contract We are seeking an experienced and highly technical Data Scientist to join ...

next page

Showing results 1-20

Ai Engineer Developer information

What engineers make $500,000?

Senior AI engineer developers with extensive experience, advanced skills in machine learning, deep learning, and proficiency with tools like TensorFlow or PyTorch can earn $500,000 or more annually, especially in high-demand industries or senior leadership roles. Compensation often includes base salary, bonuses, and stock options, particularly at large tech companies or startups with significant funding.

How much does an AI developer make?

An AI developer's salary varies based on experience, location, and skills, but typically ranges from $80,000 to $150,000 annually. Senior AI engineers with advanced expertise in machine learning, deep learning, and programming languages like Python or TensorFlow tend to earn higher salaries, especially in tech hubs or large companies.

What is a $900,000 AI job?

A $900,000 AI job typically refers to highly senior roles such as AI Director, Chief AI Officer, or senior machine learning executives, often found in large tech companies or finance firms. These positions require advanced expertise in AI development, leadership skills, and often involve overseeing large teams or strategic AI initiatives, with compensation including base salary, bonuses, and stock options.

What is the difference between Ai Engineer Developer vs Data Scientist?

AspectAi Engineer DeveloperData Scientist
Required CredentialsBachelor's in CS, AI, or related; programming skills; knowledge of ML frameworksBachelor's or higher in CS, Statistics, or related; strong analytical and statistical skills
Work EnvironmentDevelops AI models, algorithms, and systems; often in tech or R&D teamsAnalyzes data, builds models, and interprets insights; in analytics or research teams
Employer & Industry UsageTech companies, AI startups, R&D divisionsFinance, healthcare, marketing, and tech sectors

While both roles involve working with data and machine learning, Ai Engineer Developers focus on building and deploying AI systems and algorithms, whereas Data Scientists analyze data to extract insights and inform decision-making. The roles often overlap but differ in primary responsibilities and skill emphasis.

Which 3 jobs will survive AI?

AI engineers and developers are likely to continue thriving as they design, implement, and improve AI systems, requiring skills in programming, machine learning, and data analysis. Data scientists and cybersecurity specialists will also remain in demand to manage data insights and protect AI-driven systems. These roles involve complex problem-solving and adaptability that AI is less capable of replacing fully.
What are popular job titles related to Ai Engineer Developer jobs in Missouri? For Ai Engineer Developer jobs in Missouri, the most frequently searched job titles are:
What job categories do people searching Ai Engineer Developer jobs in Missouri look for? The top searched job categories for Ai Engineer Developer jobs in Missouri are:
What cities in Missouri are hiring for Ai Engineer Developer jobs? Cities in Missouri with the most Ai Engineer Developer job openings:
Lead AI Engineer

Lead AI Engineer

MasterCard

O Fallon, MO • On-site

$95K - $126K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 20 days ago


Job description

Our Purpose

Mastercard powers economies and empowers people in 200+ countries and territories worldwide. Together with our customers, we're helping build asustainableeconomy where everyone can prosper. We support a wide range of digital payments choices, making transactionssecure, simple, smart and accessible. Our technology and innovation, partnerships and networks combine to deliver a unique set of products and services that help people, businesses and governments realize their greatest potential.

Title and Summary

Lead AI EngineerOverview:
This role seeks an established AI engineering subject-matter expert who applies deep domain and technical expertise to drive critical business outcomes.
In this role, you will lead the design and deployment of complex, productiongrade agentic systems-particularly multiagent, multitool solutions that automate and enhance how the Services business operates.
You will be responsible to build intelligent agents capable of reasoning, planning, and safely invoking tools; managing memory; and continuously improving through systematic evaluation and feedback.
About D&PE AI Solutions Team:
The Data & Productivity Engineering (D&PE) organization builds the data infrastructure, automation, and AI solutions that enable datadriven decisionmaking and scalable, efficient business processes across the Services division.
Within D&PE, the AI Solutions team focuses specifically on improving productivity and employee experience by combining modern AI capabilities with existing and emerging data assets and platforms.
Key Responsibilities:
Design, develop, and operate highimpact AI solutions that address complex business problems while improving productivity, efficiency, employee experience, and cost outcomes across the Services organization.
Deeply understand requestor needs, impacted personas, underlying business processes, and jobstobedone to recommend the most effective solution approach. Evaluate whether a given request is best addressed through agentic AI, process redesign, tactical automation, or improved documentation and governance.
Define and enforce safe, scalable tooluse patterns for agentic systems, including structured outputs, robust error handling, permissioning and auditability, guardrails, and appropriate humanintheloop (HITL) approval workflows for sensitive actions.
Own production observability and operational readiness for agentic solutions, including trace capture, cost and token telemetry, latency and reliability monitoring, and incident response for agent failures.
Drive continuous improvement in system effectiveness, safety, and efficiency by defining clear success metrics such as task success rate, human intervention rate, policy violations, cost per task, and latency, and expanding evaluation coverage over time.
All About You:
Agentic System Architecture: Handson experience designing multiagent systems, goal decomposition and planning, tool and function calling, context engineering, harness design, memory and retrieval patterns, evaluations, etc.
AI Platforms and Tooling: Practical experience with platforms such as Copilot Studio, Azure AI Foundry, Salesforce Agentforce, and Microsoft Power Platform.
Production Engineering: Strong background in scalable deployment architectures, highavailability runtime design, failure handling, and overall operational excellence.
CrossFunctional Leadership: Proven ability to collaborate with platform, security, governance, and business stakeholders; clearly communicate tradeoffs; and drive adoption of shared standards and best practices.
Communication and Stakeholder Management: Excellent written and verbal communication skills, with the ability to translate complex technical concepts into clear, actionable guidance for diverse audiences.Mastercard is a merit-based, inclusive, equal opportunity employer that considers applicants without regard to gender, gender identity, sexual orientation, race, ethnicity, disabled or veteran status, or any other characteristic protected by law. We hire the most qualified candidate for the role. In the US or Canada, if you require accommodations or assistance to complete the online application process or during the recruitment process, please contact reasonable_accommodation@mastercard.com and identify the type of accommodation or assistance you are requesting. Do not include any medical or health information in this email. The Reasonable Accommodations team will respond to your email promptly.

Corporate Security Responsibility


All activities involving access to Mastercard assets, information, and networks comes with an inherent risk to the organization and, therefore, it is expected that every person working for, or on behalf of, Mastercard is responsible for information security and must:

  • Abide by Mastercard's security policies and practices;

  • Ensure the confidentiality and integrity of the information being accessed;

  • Report any suspected information security violation or breach, and

  • Complete all periodic mandatory security trainings in accordance with Mastercard's guidelines.

In line with Mastercard's total compensation philosophy and assuming that the job will be performed in the US, the successful candidate will be offered a competitive base salary and may be eligible for an annual bonus or commissions depending on the role. The base salary offered may vary depending on multiple factors, including but not limited to location, job-related knowledge, skills, and experience. Mastercard benefits for full time (and certain part time) employees generally include: insurance (including medical, prescription drug, dental, vision, disability, life insurance); flexible spending account and health savings account; paid leaves (including 16 weeks of new parent leave and up to 20 days of bereavement leave); 80 hours of Paid Sick and Safe Time, 25 days of vacation time and 5 personal days, pro-rated based on date of hire; 10 annual paid U.S. observed holidays; 401k with a best-in-class company match; deferred compensation for eligible roles; fitness reimbursement or on-site fitness facilities; eligibility for tuition reimbursement; and many more. Mastercard benefits for interns generally include: 56 hours of Paid Sick and Safe Time; jury duty leave; and on-site fitness facilities in some locations.

Pay Ranges

O'Fallon, Missouri: $140,000 - $231,000 USDArlington, Virginia: $161,000 - $266,000 USDPurchase, New York: $161,000 - $266,000 USD