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Ai Applications Engineer Jobs (NOW HIRING)

Hexion, Inc.

AI Applications Developer

OH · On-site +1

... applications you build: package for production on Azure AI Foundry or Container Apps, add tracing and logging, monitor usage and quality, and respond to production issues. * Apply prompt engineering ...

C3 AI

Forward Deployed Engineer

Atlanta, GA · On-site

As a Forward Deployed Engineer, you will be engineering full-stack AI-driven web applications on ... the C3 AI Platform, working directly with customers to design, develop, and deploy production ...

C3 AI

Forward Deployed Engineer

New York, NY · On-site

$120K - $158K/yr

As a Forward Deployed Engineer, you will be engineering full-stack AI-driven web applications on ... the C3 AI Platform, working directly with customers to design, develop, and deploy production ...

C3 AI

Forward Deployed Engineer

Redwood City, CA · On-site

$120K - $158K/yr

As a Forward Deployed Engineer, you will be engineering full-stack AI-driven web applications on ... the C3 AI Platform, working directly with customers to design, develop, and deploy production ...

EPC POWER CORP.

Applications Engineer

Poway, CA · On-site

$150K - $180K/yr

As EPC Power expands aggressively into hyperscale and AI-driven data center markets, we focus on ... The Applications Engineer is a customer-facing technical expert supporting EPC Power's growth ...

Katten

Applications Engineer

Dallas, TX · Hybrid

Applications Engineer The Applications Engineer is a highly skilled technical position, responsible ... Maintain awareness of industry trends and emerging technologies, including Microsoft Copilot, AI ...

C3 AI

Forward Deployed Engineer, Federal

Redwood City, CA · On-site

$120K - $158K/yr

As a Forward Deployed Engineer, you will be engineering full-stack AI-driven web applications on ... the C3 AI Platform, working directly with U.S. federal customers to design, develop, and deploy ...

Katten

Applications Engineer

Chicago, IL · Hybrid

Applications Engineer The Applications Engineer is a highly skilled technical position, responsible ... Maintain awareness of industry trends and emerging technologies, including Microsoft Copilot, AI ...

Katten

Applications Engineer

Los Angeles, CA · On-site

Applications Engineer The Applications Engineer is a highly skilled technical position, responsible ... Maintain awareness of industry trends and emerging technologies, including Microsoft Copilot, AI ...

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Ai Applications Engineer information

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$50.5K

$110.7K

$152K

How much do ai applications engineer jobs pay per year?

As of Jul 11, 2026, the average yearly pay for ai applications engineer in the United States is $110,698.00, according to ZipRecruiter salary data. Most workers in this role earn between $84,000.00 and $135,000.00 per year, depending on experience, location, and employer.

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 is a $900000 AI job?

A $900,000 AI applications engineer role typically refers to a high-level position in artificial intelligence development, often involving advanced skills in machine learning, deep learning, and data analysis. Such compensation may include base salary, bonuses, and stock options, usually found in senior or specialized roles within tech companies or startups. These positions often require extensive experience, certifications, and a strong understanding of AI tools and frameworks.

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

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.

What does an AI application engineer do?

An AI application engineer designs, develops, and implements artificial intelligence solutions to solve specific problems or improve processes. They work with machine learning models, programming languages like Python or Java, and tools such as TensorFlow or PyTorch, often collaborating with data scientists and software developers to deploy AI systems in real-world applications.

Which 3 jobs will survive AI?

AI Applications Engineers are likely to continue to find roles in developing, implementing, and maintaining AI systems, as their expertise in integrating AI solutions remains in demand. Jobs that require complex problem-solving, creativity, and emotional intelligence, such as healthcare professionals, educators, and skilled trades, are also expected to persist despite AI advancements. These roles often involve tasks that are difficult for AI to fully replicate or automate.

What engineer makes $500,000 a year?

Highly experienced AI Applications Engineers working in senior or specialized roles at large tech companies or in consulting can earn salaries approaching or exceeding $500,000 annually, especially with bonuses and stock options. Such roles typically require advanced skills in machine learning, deep learning, and software development, along with significant industry experience and often a master's or Ph.D. degree.

What are AI Applications Engineers?

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.
More about Ai Applications Engineer jobs
What cities are hiring for Ai Applications Engineer jobs? Cities with the most Ai Applications Engineer job openings:
What states have the most Ai Applications Engineer jobs? States with the most job openings for Ai Applications Engineer jobs include:
What job categories do people searching Ai Applications Engineer jobs look for? The top searched job categories for Ai Applications Engineer jobs are:
Ai Applications Engineer jobs near you
Infographic showing various Ai Applications Engineer job openings in the United States as of July 2026, with employment types broken down into 75% Full Time, 22% Part Time, and 3% Contract. Highlights an 66% Physical, 3% Hybrid, and 31% Remote job distribution, with an average salary of $110,698 per year, or $53.2 per hour.
AI Applications Developer

AI Applications Developer

Hexion, Inc.

OH • On-site, Remote

Full-time

Re-posted 9 days ago

Job description

Company Overview
Imagine Everything. Build the Future with Hexion.
At Hexion, we push boundaries, rethink possibilities, and create real impact. We activate science to deliver progress-developing breakthrough solutions that strengthen industries, protect communities, and drive a more sustainable future.
This is where bold thinkers, problem-solvers, and innovators come together to shape what's next. Whether you're engineering advanced materials, transforming manufacturing technologies, or leading strategic innovation, your ideas and actions leave a lasting mark. We cultivate an inclusive culture of growth, collaboration, and accountability, ensuring every contribution propels us forward.
We don't follow the status quo-we challenge it, disrupt it, and improve it. Every role at Hexion is part of something bigger.
We invest in innovation, sustainability, and continuous development-equipping you with the tools, training, and opportunities to excel. With an unwavering commitment to safety, partnership, belonging, and impact, we empower you to lead change and strengthen industries worldwide.
Your Future Starts Here.
If you're ready to push limits, reimagine what's possible, and create the extraordinary, Hexion is where you belong.
Anything is possible when you imagine everything.
Position Overview
Lead Hexion's enterprise Agentic AI and automation strategy-architecting and scaling agentic AI capabilities, identifying automation opportunities across all business functions, championing AI fluency and a learning culture, and overseeing the execution and KPI governance of automation initiatives to deliver measurable business value across the organization.
Job Responsibilities
  • Build AI-powered applications that deliver agentic and generative AI capabilities to business users across commercial, supply chain, manufacturing, and R&D functions.
  • Develop and tune Retrieval-Augmented Generation (RAG) pipelines over unstructured content such as product specs, Safety Data Sheets, standard operating procedures, emails, and meeting transcripts - using parsing (Azure Document Intelligence, Unstructured), chunking, embeddings, hybrid search, and reranking.
  • Create domain-specific tools and connectors (including Model Context Protocol servers) that expose enterprise systems - ERP, planning, analytics, content management, and custom APIs - as safe, well-documented actions for AI agents to call.
  • Build user-facing surfaces with Microsoft Copilot Studio, Power Apps, Teams apps, Streamlit, or React - including chat interfaces, approval workflows, and result-review screens.
  • Implement data validation and guardrails at every tool boundary: schema checks, business-rule validation, content safety, PII handling, and explicit user confirmation for write operations.
  • Partner with product owners and subject-matter experts to gather requirements, translate workflows into agent execution plans, prototype rapidly, demo, gather feedback, and iterate.
  • Support deployment and operations of the applications you build: package for production on Azure AI Foundry or Container Apps, add tracing and logging, monitor usage and quality, and respond to production issues.
  • Apply prompt engineering and evaluation to measure application quality - build test cases, run LLM-as-judge evals, and track regressions over time.
  • Document use cases, tools, and playbooks so applications remain maintainable and extensible by the team.
  • Collaborate across globally distributed teams through code reviews, pair programming, and shared technical standards.

Minimum Qualifications
  • Bachelor's degree in Computer Science, Engineering, Information Systems, or a related technical field - or equivalent hands-on experience.
  • 5+ years of professional software development or data/analytics engineering experience, including recent hands-on work with LLMs or AI-powered applications (professional projects, internships, or substantive personal projects).
  • Strong proficiency in Python and comfort with TypeScript or JavaScript for front-end work.
  • Working knowledge of at least one AI/agent framework: LangChain, LangGraph, LlamaIndex, Semantic Kernel, AutoGen, or CrewAI.
  • Practical experience with LLM APIs (Azure OpenAI, Anthropic Claude, OpenAI, or Hugging Face) and structured outputs.
  • Hands-on RAG experience - document parsing, chunking, embeddings, and hybrid retrieval - with at least one vector database.
  • Comfort integrating with enterprise APIs such as ERP, BI platforms, SharePoint or Microsoft Graph, Teams, and REST/GraphQL services.
  • Solid SQL skills and working familiarity with a modern data platform (Databricks, Snowflake, or equivalent).
  • Self-directed learner who stays current with a fast-moving field, can teach themselves new frameworks with minimal guidance, and ships working software without hand-holding.
  • Strong problem-solving, communication, and documentation skills; comfortable demoing to business stakeholders and gathering requirements directly from subject-matter experts.
  • Familiarity with Git, CI/CD, and basic DevOps workflows.

Preferred Qualifications
  • Hands-on experience with Microsoft Copilot Studio, Microsoft 365 Copilot extensibility, or Power Platform (Power Apps, Power Automate).
  • Experience with Azure AI Foundry agents or Palantir AIP Logic / Workshop applications.
  • Familiarity with Model Context Protocol (MCP), tool/function calling, and prompt registries.
  • Experience with LLM observability and evaluation tooling - LangSmith, Langfuse, Arize, or Weights & Biases.
  • UX sensibility - ability to design clean, low-friction chat and approval interfaces that business users actually adopt.
  • Exposure to Docker, containerized deployments, and infrastructure-as-code (Terraform or Bicep).
  • Public portfolio - GitHub projects, technical blog posts, or community contributions - demonstrating curiosity and hands-on experimentation in generative or agentic AI.
  • Prior experience delivering business applications in process industries, manufacturing, supply chain, or commercial analytics.

Other
We are an Equal Opportunity, Affirmative Action employer. All qualified applicants will receive consideration for employment without regard to gender, pregnancy, race, national origin, religion, age, sexual orientation, gender identity, veteran or military status, status as a qualified individual with a disability or any other characteristic protected by law.
To be considered for this position candidates are required to submit an application for employment through our career site and, be at least 18 years of age. Any offer of employment will be conditioned upon successful completion of a drug test and background investigation, as well as authorization for the Company to conduct additional periodic background checks as required by the Chemical Facility Anti-Terrorism Standards (CFATS) or regulations adopted by the department of Homeland Security or other regulatory agencies. A prior criminal record is not an automatic bar to employment, and the Company will conduct an individualized assessment and reassessment, consistent with applicable law, prior to making any final employment decision.

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