ZipRecruiter

Log In

1

Ai Application Developer Jobs (NOW HIRING)

Stifel

AI-Application Security Engineer

Saint Louis, MO · On-site

$57 - $76.25/hr

What You'll Be Doing The AI-Application Security Engineer is responsible for implementing and ... Leverage AI and automation to scale security operations, vulnerability management, and developer ...

Stifel

AI-Application Security Engineer

Saint Louis, MO

$57 - $76.25/hr

The AI-Application Security Engineer is responsible for implementing and scaling technical security ... Leverage AI and automation to scale security operations, vulnerability management, and developer ...

Stifel

AI-Application Security Engineer

Saint Louis, MO

$57 - $76.25/hr

What You'll Be Doing The AI-Application Security Engineer is responsible for implementing and ... Leverage AI and automation to scale security operations, vulnerability management, and developer ...

PartsSource

AI Application Engineer

Charlotte, NC

About the Job Opportunity We are seeking a skilled AI Application Engineer to design, develop, and ... Understanding of DevOps practices, including containerization (e.g., Docker) and orchestration (e.g ...

KPMG

Senior Associate, AI Application Developer

Albany, NY · On-site

$95.30K - $131.10K/yr

KPMG is currently seeking a Senior Associate, AI Application Developer to join our Digital Nexus technology organization. Responsibilities: * Design, develop, and deploy AI-enabled applications using

PartsSource

AI Application Engineer

Charlotte, NC · On-site

About the Job Opportunity We are seeking a skilled AI Application Engineer to design, develop, and ... Understanding of DevOps practices, including containerization (e.g., Docker) and orchestration (e.g ...

Channel Partners

Senior AI Application Engineer

Tampa, FL · On-site +1

$120K - $140K/yr

The Senior AI Application Engineer is a senior technical builder and architect responsible for designing, building, and deploying production-grade AI-powered tools, automations, and intelligent ...

InterSystems

AI Application Engineer

Boston, MA

Background in DevOps, or Platform Engineering. * Hands-on experience with automation tools * Contributions to open-source AI/ML frameworks or tools are a plus Key Regional Benefits * Comprehensive ...

SumerSports LLC

AI Application Engineer

... AI Developer. * Proficiency in Python and TypeScript/JavaScript (Node.js or React). * Hands-on experience with LLM frameworks (LangChain, LlamaIndex, Semantic Kernel, Haystack). * Strong ...

InterSystems

AI Application Engineer

Boston, MA · On-site

$127K - $167K/yr

Background in DevOps, or Platform Engineering. * Hands-on experience with automation tools * Contributions to open-source AI/ML frameworks or tools are a plus Key Regional Benefits * Comprehensive ...

Alias Intelligence

AI Application Engineer

Austin, TX · On-site

... AI-enabled developer stack Qualifications - Demonstrated experience with modern agentic coding practices and approaches - Expertise in building and deploying robust web applications to cloud ...

Vangard, Inc.

AI Application Engineer

Malvern, PA · On-site

Engineers who are quick to adopt emerging tools and techniques in the generative AI space. * Experience with Python and TypeScript; familiarity with Stencil is a plus * Experience with AWS e.g.

next page

Showing results 1-20

People also search for

All JobsAi Application Developer Jobs

Ai Application Developer information

See salary details

$17

$52

$84

How much do ai application developer jobs pay per hour?

As of Jun 1, 2026, the average hourly pay for ai application developer in the United States is $52.64, according to ZipRecruiter salary data. Most workers in this role earn between $42.31 and $60.58 per hour, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as an AI Application Developer, and why are they important?

To thrive as an AI Application Developer, you need strong programming skills (especially in Python or Java), a solid understanding of machine learning concepts, and a relevant degree such as computer science or data science. Familiarity with frameworks like TensorFlow or PyTorch, experience with cloud platforms (AWS, Azure, or GCP), and certifications in AI or data science are highly valued. Creative problem-solving, collaboration, and effective communication help developers translate business needs into practical AI solutions. These skills and qualities are crucial for building robust, scalable AI applications that deliver real-world value.

How do AI Application Developers typically collaborate with data scientists and product managers during a project?

AI Application Developers often work closely with data scientists to integrate machine learning models into user-facing applications, ensuring the models function efficiently within production systems. Collaboration with product managers is also key, as developers help translate business requirements into technical solutions and provide feedback on feasibility and timelines. Regular cross-functional meetings and code reviews are common, fostering a collaborative environment that drives innovative and effective AI-powered products.

What is an AI Application Developer?

An AI Application Developer is a professional who designs, builds, and maintains software applications that leverage artificial intelligence technologies. They work with programming languages, machine learning frameworks, and data to create intelligent systems such as chatbots, recommendation engines, or image recognition tools. AI Application Developers collaborate with data scientists and other engineers to integrate AI models into applications, ensuring they function efficiently and meet user needs. Their work spans industries like healthcare, finance, and retail, driving innovation through automation and smart solutions.

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

AspectAi Application DeveloperData Scientist
Required SkillsProgramming, AI frameworks, software developmentStatistics, data analysis, machine learning
Work EnvironmentSoftware development teams, tech companiesResearch labs, analytics teams
Common CertificationsAI certifications, programming coursesData science certifications, statistical credentials

While both roles involve AI and data, an Ai Application Developer primarily focuses on designing and building AI-powered applications using programming and AI frameworks. In contrast, a Data Scientist analyzes data to extract insights and build models, often working more on data analysis and statistical modeling. Both roles are essential in tech industries but serve different functions within AI projects.

More about Ai Application Developer jobs
What cities are hiring for Ai Application Developer jobs? Cities with the most Ai Application Developer job openings:
What states have the most Ai Application Developer jobs? States with the most job openings for Ai Application Developer jobs include:
What job categories do people searching Ai Application Developer jobs look for? The top searched job categories for Ai Application Developer jobs are:
Ai Application Developer jobs near you
Infographic showing various Ai Application Developer job openings in the United States as of May 2026, with employment types broken down into 46% Full Time, 8% Part Time, and 46% Contract. Highlights an 29% Physical, 7% Hybrid, and 64% Remote job distribution, with an average salary of $109,490 per year, or $52.6 per hour.
AI-Application Security Engineer

AI-Application Security Engineer

Stifel

Saint Louis, MO • On-site

$57 - $76.25/hr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 4 days ago

Stifel rating

8.0

Company rating: 8.0 out of 10

Based on 20 frontline employees who took The Breakroom Quiz

Job description

Why Stifel
Stifel strives for a culture that puts its clients and associates first: a culture where everyone belongs, everyone is welcome, and everyone contributes to the success of our clients, their careers, and the firm as a whole.
Let's talk about how you can find your place here at Stifel, where success meets success.
What You'll Be Doing
The AI-Application Security Engineer is responsible for implementing and scaling technical security controls and security processes across internally developed applications and AI-enabled systems. This role partners directly with engineering teams to embed security into the software development and AI lifecycles, and, in partnership with the AI-Application Security Architect, contributes to detailed technical design and operationalizes security architecture, standards, and secure-by-design practices. This engineer operates with moderate autonomy, leads security initiatives end-to-end, and contributes to the evolution of application and AI security capabilities. The role requires strong hands-on technical depth in secure software development, application security testing, vulnerability management, and emerging AI security risks, including prompt injection, model abuse, insecure integrations, and data leakage.
What We're Looking For
  • In partnership with the AI-Application Security Architect, contribute to detailed technical design and operationalize security architecture, standards, and approved security patterns across application and AI-enabled systems.
  • Partner directly with engineering teams to embed security controls and secure-by-design practices into the software development lifecycle and AI lifecycle.
  • Evaluate, test, and perform technical validation of AI and application security tools, including AI red teaming, AI and MCP gateways, DAST, SAST, SCA, API security, and mobile application security capabilities.
  • Implement, integrate, tune, and scale security tooling across application and AI environments, including runtime monitoring, governance controls, testing platforms, and posture management capabilities, with a focus on coverage, signal quality, and operational effectiveness.
  • Leverage AI and automation to scale security operations, vulnerability management, and developer enablement through technologies such as Python, AWS services, and CI/CD pipelines.
  • Triage, validate, and prioritize vulnerabilities identified through application and AI security tools, assess risk in business and technical context, and partner with engineering teams to drive timely remediation.
  • Provide hands-on guidance to developers, including low-code and no-code users, on secure development practices, platform-specific risks, secure integration patterns, and remediation approaches.
  • Support the security review and risk assessment of AI platforms, models, agents, skills, MCPs, and third-party integrations by applying defined controls, documenting risk decisions, and helping establish scalable onboarding and governance practices.
  • Develop, maintain, and improve secure coding standards, implementation guidance, guardrails, and technical documentation for both application and AI use cases.
  • Stay current on emerging cybersecurity threats, particularly in AI security, and incorporate relevant mitigations into security tooling, engineering practices, and control design.
  • Contribute to a strong security engineering culture by mentoring junior engineers, sharing technical knowledge, and helping mature application and AI security practices across the organization.

What You'll Bring
  • Understanding of application and AI security principles, methods, and technologies, including AI-specific risks such as prompt injection, model abuse, insecure agentic integrations, and data leakage.
  • Strong analytical and problem-solving skills with the ability to identify and mitigate security risks across both traditional application and AI-enabled systems.
  • Strong verbal and written communication and collaborative skills.
  • Ability to effectively communicate technical topics to technical and non-technical audiences.
  • Ability to prioritize workload and consistently meet deadlines.
  • Security architecture, threat modeling, secure design.
  • Strong analytical and problem-solving skills.

Education & Experience
  • Minimum Required: Bachelor's degree in Computer Science, Information Systems, Cybersecurity, Computer Engineering, Software Engineering, or a related combination of education and experience.
  • Minimum Required: 2+ years of information security or software development experience.

Licenses & Credentials
  • Preferred: CISSP, CSSLP, GIAC or similar.

Systems & Technology
  • Preferred: C#, Angular, Python programming experience.
  • Preferred: Experience in cloud platforms, AWS, Github.
  • Experience with application security tooling; SAST, DAST, SCA, API, Mobile, Red Team.
  • Experience with AI tools (AI Coding assistants, Skills, MCPs, Agents).

#LI-LL1
About Stifel
Stifel is more than 130 years old and still thinking like a start-up. We are a global wealth management and investment banking firm serious about innovation and fresh ideas. Built on a simple premise of safeguarding our clients' money as if it were our own, coined by our namesake, Herman Stifel, our success is intimately tied to our commitment to helping families, companies, and municipalities find their own success.
While our headquarters is in St. Louis, we have offices in New York, San Francisco, Baltimore, London, Frankfurt, Toronto, and more than 400 other locations. Stifel is home to approximately 9,000 individuals who are currently building their careers as financial advisors, research analysts, project managers, marketing specialists, developers, bankers, operations associates, among hundreds more. Let's talk about how you can find your place here at Stifel, where success meets success.
At Stifel we offer an entrepreneurial environment, comprehensive benefits package to include health, dental and vision care, 401k, wellness initiatives, life insurance, and paid time off.
Stifel is an Equal Opportunity Employer.

What Stifel employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom

Apply