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Ai Applications Engineer Jobs in Roxana, IL (NOW HIRING)

Pwc

AI Engineer

Saint Louis, MO · On-site

$50K - $112K/yr

... applications - Managing data quality and infrastructure to support reliable AI operations - Engaging in continuous learning to adapt to new technologies and methodologies in AI engineering What You ...

Deloitte

Google AI Architect

Saint Louis, MO · On-site

Master's degree in technology-related discipline. * 2+ years's leading high performance, results driven engineering teams delivering AI platforms or applications. * 1+ year implementing LLMOps/MLOps ...

Focus Financial Partners

BI & Data Engineer

Saint Louis, MO · Hybrid

$111K - $133K/yr

... custom React + FastAPI applications hosted natively in Snowflake). You'll use AI-assisted ... Partner with data engineers and analytics engineers who build and maintain Snowflake semantic ...

Focus Financial Partners

BI & Data Engineer

Saint Louis, MO · On-site

$111K - $133K/yr

... custom React + FastAPI applications hosted natively in Snowflake). You'll use AI-assisted ... Partner with data engineers and analytics engineers who build and maintain Snowflake semantic ...

Pwc

CTIO AI Engineering Manager

Saint Louis, MO · On-site

$73K - $244K/yr

Responsibilities - Work with cross-functional teams to incorporate AI into various applications ... engineering or related field What Sets You Apart - Master's Degree in Computer Engineering, Data ...

Strategic Staffing Solutions

Lead AI Engineer

Saint Louis, MO · On-site

$99K - $131K/yr

Lead AI Engineer Location: St. Louis. MO (Hybrid) Duration: 12 Month Contract About the Role We are ... You will help evolve our platform from Retrieval-Augmented Generation (RAG) applications to agentic ...

Pwc

AI & GenAI Data Scientist - Manager

Saint Louis, MO · On-site

$99K - $232K/yr

... AI applications - Mentoring team members to develop skills in AI implementation and data engineering - Validating data quality and compliance within AI frameworks - Encouraging innovation and ...

Build-A-Bear Workshop

Data Engineer

Saint Louis, MO · On-site

$110K - $133K/yr

... advanced AI applications. At Build-A-Bear, our data fuels creativity, efficiency, and innovation ... The Data Engineer will help build the foundation that powers these experiences. Responsibilities:

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Ai Applications Engineer information

See Roxana, IL salary details

$48.4K

$106.2K

$145.8K

How much do ai applications engineer jobs pay per year?

As of Aug 30, 2026, the average yearly pay for ai applications engineer in Roxana, IL is $106,157.00, according to ZipRecruiter salary data. Most workers in this role earn between $80,600.00 and $129,500.00 per year, depending on experience, location, and employer.

What is an AI applications engineer?

AI Applications Engineers are professionals who design, develop, and integrate artificial intelligence (AI) solutions into software applications to solve real-world problems. They work closely with data scientists, software engineers, and business stakeholders to build and deploy machine learning models, automate processes, and enhance user experiences. Their responsibilities often include selecting appropriate AI technologies, writing code, testing models, and optimizing performance. AI Applications Engineers play a key role in translating AI research and prototypes into scalable and maintainable products used in industries like healthcare, finance, retail, and more.

What are the key skills and qualifications needed to thrive as an AI applications engineer?

To thrive as an AI Applications Engineer, you need strong programming abilities (Python, Java, or C++), a solid understanding of machine learning algorithms, and a relevant degree in computer science or engineering. Familiarity with AI frameworks (such as TensorFlow or PyTorch), cloud platforms, and data processing tools is typically required, along with certifications in machine learning or AI. Excellent problem-solving, collaboration, and communication skills help you translate business needs into effective AI solutions and work efficiently with cross-functional teams. These skills are critical for building scalable, reliable AI systems that deliver tangible value to organizations.

How does an AI applications engineer typically collaborate with data scientists and software developers on project teams?

As an AI Applications Engineer, you will often serve as a bridge between data scientists, who build and optimize machine learning models, and software developers, who integrate these models into production systems. Collaboration usually involves translating model requirements into scalable application features, ensuring model outputs align with user needs, and troubleshooting technical challenges that arise during deployment. Regular meetings, code reviews, and shared documentation are common practices to keep everyone aligned and ensure seamless integration. This cross-functional teamwork enhances both the technical robustness and usability of AI-powered applications.

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

AspectAi Applications EngineerData Scientist
Required CredentialsBachelor's in CS, Engineering, or related; knowledge of AI/ML toolsBachelor's or higher in CS, Statistics, or related; strong analytical skills
Work EnvironmentDevelops AI solutions, collaborates with engineering teamsAnalyzes data, builds models, interprets results
Employer & Industry UsageTech companies, AI startups, R&D departmentsFinance, healthcare, tech, research institutions

While both roles involve AI and data, Ai Applications Engineers focus on developing and deploying AI solutions in engineering contexts, whereas Data Scientists analyze data to extract insights. The roles often overlap but differ mainly in their primary focus and application environment.

What does an AI applications engineer do?

An AI applications engineer designs, develops, and implements artificial intelligence solutions to solve specific business problems. They work with machine learning models, data processing, and programming tools like Python or TensorFlow, often collaborating with data scientists and software developers to deploy AI systems effectively.

What cities near Roxana, IL are hiring for Ai Applications Engineer jobs?

Cities near Roxana, IL with the most Ai Applications Engineer job openings:

Ai Applications Engineer jobs near you

Sr. AI Security Engineer

Saint Louis, MO • On-site

McCarthy Building Companies, Inc.
Construction • 1 - 5K employees

8.0

Company rating: 8.0 out of 10

Based on 28 frontline employees who took The Breakroom Quiz

People enjoy working here

Good employer

Recommended by parents

Learn more about McCarthy Building Companies, Inc.external

$111K - $152K/yr

Full-time

Posted 2 days ago

New

Job description

POSITION SUMMARY
The Sr. AI Security Engineer will help secure the design, deployment, and operation of AI-enabled products and services. This role will help protect data, systems, users, and customers as generative AI, machine learning, and agentic technologies continue to evolve.
As a member of the Cybersecurity team, the engineer will work closely with AI, engineering, architecture, legal, and compliance teams. The organization has existing AI tools and controls in place, and this role will assess their effectiveness, recommend additional capabilities where needed, and mature the overall AI security toolset over time. Rather than building an AI-security stack from scratch, the engineer will configure, tune, validate, operate, and extend existing security solutions while helping teams apply practical secure-by-design practices.
The ideal candidate combines hands-on security architecture or engineering experience, production AI-security experience, and the ability to explain complex risks clearly to both technical and non-technical audiences.
RESPONSIBILITIES
  • Develop and maintain enterprise AI security standards, control requirements, and risk-based review processes.
  • Assess AI applications, models, agents, APIs, integrations, vendors, and data flows before and after deployment.
  • Define security requirements for AI systems across design, development, testing, deployment, operation, and retirement.
  • Evaluate identity, access, identity governance, data protection, privacy, logging, monitoring, retention, and human-oversight controls.
  • Test AI systems and agent workflows for prompt injection, indirect injection, jailbreaks, data leakage, excessive agency, unsafe tool use, insecure integrations, and configuration drift.
  • Conduct threat modeling, architecture reviews, security assessments, and control validation for AI-enabled solutions.
  • Establish processes for AI security findings, incident response, exception management, remediation, and executive reporting.
  • Review AI vendors, models, third parties, subprocessors, data handling practices, and material platform or configuration changes.
  • Configure, tune, validate, operate, and extend existing AI-security, AI-governance, application-security, data-security, and monitoring tools.
  • Support the evaluation and integration of additional capabilities where existing controls require enhancement.
  • Create practical security patterns, reference architectures, playbooks, standards, and guidance for engineering and product teams.
  • Monitor emerging AI threats, vulnerabilities, standards, regulations, and industry practices and translate them into actionable improvements.
  • Partner with development and platform teams to integrate security controls into AI development and deployment workflows.
  • Communicate technical risks, business impact, and recommended actions to both technical and non-technical stakeholders.
  • Promote responsible AI adoption through measurable controls, clear accountability, and continuous improvement.

QUALIFICATIONS
  • Bachelor's degree in cybersecurity, computer science, information systems, engineering, or a related field, or equivalent professional experience.
  • Minimum five years of proven experience in an established security architecture, security engineering, architecture, or engineering role.
  • Working experience handling AI security in a production environment, including the assessment, governance, monitoring, or protection of AI applications, models, agents, or integrations.
  • Strong understanding of cybersecurity principles, including identity governance, least privilege, data protection, risk assessment, incident response, security architecture, and security governance.
  • Familiarity with OWASP LLM and AI risks, including prompt injection, indirect injection, jailbreaks, sensitive information disclosure, excessive agency, insecure output handling, and agent or tool-use security.
  • Practical understanding of generative AI architectures, large language models, retrieval-augmented generation, AI agents, APIs, and model or application lifecycle risks.
  • Ability to explain how risks such as indirect prompt injection or excessive agency would surface in a real agent workflow and how those risks could be detected, validated, and mitigated.
  • Experience evaluating security controls, technology vendors, data handling practices, privacy considerations, and third-party risk.
  • Ability to develop clear standards and communicate complex technical risks to engineers, product teams, business leaders, and executives.
  • Strong analytical, written, verbal, collaboration, and problem-solving skills.
  • Sound judgment, personal integrity, curiosity, and a demonstrated commitment to protecting confidential information.

Preferred Qualifications
  • Experience with AI-security, application-security, cloud-security, data-security, DevSecOps, or security-monitoring tools.
  • Experience performing AI red teaming, adversarial testing, penetration testing, threat modeling, or control validation.
  • Familiarity with the NIST AI Risk Management Framework or comparable AI-governance frameworks.
  • Experience integrating security controls into software development, cloud engineering, or platform operations.
  • Familiarity with data classification, DLP, audit logging, security information and event management, and privacy-by-design practices.
  • Relevant certifications such as CISSP, Security+, or a portfolio demonstrating comparable practical experience.

McCarthy is proud to be an equal opportunity employer, including disability and protected veteran status.
NOTICE TO EXTERNAL SEARCH FIRMS: McCarthy's Talent Acquisition Team is the only authorized representative permitted to engage with external search firms, staffing agencies, or other third-party recruiting partners. McCarthy maintains an Approved Agency List for recruiting partners, which is reviewed and updated annually.
McCarthy will only consider submissions from agencies with a signed fee agreement in place for the current year. McCarthy does not accept unsolicited resumes, candidate submissions, or referrals from agencies that do not meet these requirements.
If a candidate is submitted without an active agreement, McCarthy will have no obligation to pay any fees and reserves the right to contact, engage, interview, or hire such candidate(s) without any financial or other responsibility to the submitting agency. Unsolicited resumes, including those sent directly to hiring managers or other employees, will be considered the property of McCarthy.
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About McCarthy Building

Sourced by ZipRecruiter

McCarthy Building, headquartered in Saint Louis, MO, US, is a leading construction company primarily offering general contracting, design-build and construction management services throughout the United States. Its prominent industry presence can be explored in detail on its official website, mccarthy.com. Founded in 1864, the company has built a robust legacy marked by significant contributions to the U.S. construction industry. McCarthy Building engages a broad range of sectors, including healthcare, education, commercial, renewable energy, and advanced technology.

Industry

Construction

Company size

1,001 - 5,000 Employees

Headquarters location

Saint Louis, MO, US

Year founded

1864

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Benefits

Hours and flexibility

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