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Ai Applications Engineer Jobs (NOW HIRING)

Seeq

AI Applications Engineer

The AI Applications Engineer designs, builds, and delivers production-grade agentic AI solutions on the Seeq platform to accelerate time-to-value for process manufacturers (O&G, Chemicals, Pharma ...

quadric, Inc

AI Applications Engineer

Burlingame, CA · On-site

$110K - $270K/yr

Role The AI Applications Engineer is the key bridge between development engineering and hands-on users in the field. The AI Application Engineer will [1] integrate Quadric product and software stack ...

Quadric

AI Applications Engineer

San Francisco, CA

Join to apply for the AI Applications Engineer role at Quadric Join to apply for the AI Applications Engineer role at Quadric Direct message the job poster from Quadric Quadric has created an ...

quadric, Inc

AI Applications Engineer

Burlingame, CA · On-site

$110K - $270K/yr

Role The AI Applications Engineer is the key bridge between development engineering and hands-on users in the field. The AI Application Engineer will [1] integrate Quadric product and software stack ...

quadric, Inc

AI Applications Engineer

Burlingame, CA · On-site

$110K - $270K/yr

Role The AI Applications Engineer is the key bridge between development engineering and hands-on users in the field. The AI Application Engineer will [1] integrate Quadric product and software stack ...

Lantern

Azure AI Applications Engineer

Dallas, TX

Azure AI Applications Engineer We are seeking an Azure AI Applications Engineer to join our growing team at Lantern, where you will lead the development of intelligent applications that harness the ...

Lantern

Azure AI Applications Engineer

Dallas, TX · On-site

Azure AI Applications Engineer We are seeking an Azure AI Applications Engineer to join our growing team at Lantern, where you will lead the development of intelligent applications that harness the ...

Hexion, Inc.

AI Applications Developer

OH

... 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 ...

Hexion Careers

AI Applications Developer

OH · Remote

... 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 ...

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 ...

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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 Jun 18, 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 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 applications engineer designs, develops, and implements artificial intelligence solutions to solve specific business problems. 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. Their role involves testing, optimizing, and deploying AI systems in real-world environments to ensure functionality and performance.

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 essential. 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 replace.

What is a $900,000 AI job?

A $900,000 AI job typically refers to high-level roles such as senior AI applications engineers, machine learning directors, or AI research leads, often in large tech companies or specialized firms. These positions usually require advanced skills in AI development, deep learning, and experience with tools like TensorFlow or PyTorch, along with leadership responsibilities and a strong track record of innovation.

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.

What engineers make $500,000?

Senior AI Applications Engineers with extensive experience, advanced skills in machine learning, deep learning, and software development can earn $500,000 or more annually, especially in high-demand industries like technology and finance. Compensation often includes base salary, bonuses, and stock options, and reaching this level typically requires years of specialized expertise and leadership roles.
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:
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Ai Applications Engineer jobs near you
Infographic showing various Ai Applications Engineer job openings in the United States as of June 2026, with employment types broken down into 1% As Needed, 70% Full Time, 24% Part Time, and 5% Contract. Highlights an 87% Physical, 5% Hybrid, and 8% Remote job distribution, with an average salary of $110,698 per year, or $53.2 per hour.
AI Applications Engineer

AI Applications Engineer

Seeq

Remote

Full-time

Medical, Dental, Vision, Life, PTO

Posted 11 days ago

Job description

The AI Applications Engineer designs, builds, and delivers production-grade agentic AI solutions on the Seeq platform to accelerate time-to-value for process manufacturers (O&G, Chemicals, Pharma, Power, Pulp & Paper, Food & Beverage, Semiconductor, and related industries). This role pairs the customer-facing solution engineering responsibilities of an Applications Engineer with deeper software engineering skills focused on building, extending, and operationalizing custom AI agents that interface with Agent Q, Seeq's advanced agentic AI Analyst, along with Agent Builder, Document Access, and Agent Extensibility capabilities.
The AI Applications Engineer leads end-to-end Seeq Intelligence implementations - from use case discovery and solution architecture, through Python-based agent and Skill development, to enablement and lifecycle ownership. Typical solution patterns include anomaly-to-action workflows that integrate with Industrial Software technologies (historian, CMMS, APM, etc), Microsoft Copilot integrations, AI-generated operational reporting, and customer internal documentation and SME knowledge. Seeq builds advanced analytics and decision intelligence software for industrial process data and operates as a remote-first company with a strong culture of collaboration and iteration.
Requirements
Design and Build Agentic AI Solutions
  • Author scalable AI agents utilizing that extend and orchestrate Agent Q for repeatable, multi-step industrial workflows (e.g., AI-generated operational reports, batch deviation analysis, root cause investigations, condition-monitor-driven investigations).
  • Build custom AI agents outside of Seeq to interface applications in the broader industrial technology stack with Agent Q and Seeq's AI platform.
  • Design and implement Skills and Code Tools in Python (Seeq Data Lab, SPy library) that give agents reliable, governed access to enterprise systems - CMMS, historians, document stores, and customer-built AI services.
  • Build solution components (accelerators, templates, calculators, KPIs, dashboards, condition monitors, Vantage Rooms) in Seeq Workbench, Organizer, Vantage, and Data Lab that the agent layer can act on and reason about.
  • Package agentic solutions for reuse with documented prompts/instructions, journals, example datasets, validation plans, and success criteria ready for partner and customer delivery.
  • Configure Agent Extensibility to wire Seeq Intelligence into customer ecosystems (CMMS, integrity tools, MES, Power BI/Teams, Microsoft Copilot, Snowflake, Databricks).

Software Engineering and Architecture
  • Write production-quality Python for agent Skills, Data Lab notebooks, scheduled/event-triggered workflows; apply modern software engineering practices (version control, code review, testing, CI/CD where applicable).
  • Author and consume REST/HTTPS APIs for third-party AI agents and enterprise systems; manage authentication patterns (SSO, delegated permissions, SAS URIs) for governed agent access.
  • Connect solutions to enterprise data ecosystems and downstream tools (e.g., OPC UA/OPC HDA; AVEVA PI/PI AF; SQL databases, data lakes/warehouses; Databricks; Azure ML; AWS Lambda; Power BI/Tableau; Microsoft 365 / SharePoint) following security, scalability, and performance best practices.
  • Apply prompt engineering, agent instruction design, and evaluation techniques to make agent behavior consistent, trustworthy, and reproducible at an industrial scale.

Collaborate Cross-Functionally
  • Partner with the Software Team, Industry Principals, Product Management, and Revenue Teams to align Intelligence solutions to roadmap and close capability gaps.
  • Support Product Marketing, Solution Consulting, and Sales with credible Intelligence demos, narratives, and GTM assets; assist targeted pre-sales engagements where agentic solution expertise is required.

Enable Customers and Partners
  • Create enablement kits (deployment guides, reference architectures, agent design playbooks, sample Skills/notebooks) and mentor Seeq partners and customer champions to scale agentic delivery globally.
  • Coach customer subject matter experts on encoding their expert reasoning into agent instructions, journals, and custom agent workflows so institutional knowledge becomes shareable and operational.

Continuous Improvement
  • Gather field feedback, monitor agent adoption and quality, and iterate on solution reliability, trustworthiness, and learnability; contribute reusable agent patterns into Seeq's solution library and training content.

Benefits
About Seeq
Seeq is a remote-first (only) company founded by serial entrepreneurs. Our executive team and board of directors have extensive experience with successful startup ventures in high-growth environments.
We are founded on the idea that companies need better solutions for quickly and easily getting business insight from their industrial process data. Our mission is to provide software and services that convert that data into meaningful information that the business can use to improve profitability.
We have a wonderful, kind-hearted, talented team that loves to collaborate, lead by example, and exceed our customers' expectations. We are certified as a great place to work, an emerging startup, the Technology Fast 500, and Inc. Magazine's Best Places to Work.
The Perks of Working at Seeq
  • Competitive salary plus bonus
    • $165,000 - $185,000 USD base salary
  • Benefits:
    • 12-week paid Seeq family leave
    • Unlimited PTO
    • Internet and mobile phone reimbursements
    • Medical benefits
    • Group term life insurance
    • Short-term and long-term disability insurance pre-tax benefits
    • Voluntary vision and dental (ortho)
    • Vacation bonus program
    • Employee Assistance Program
    • Generous home office allowance
    • The best co-workers (we've analyzed the data, so we know it's true.)
    • Pet-friendly workspace (your dog will be so happy to have you home)
    • You love your job!

Seeq provides equal employment opportunities (EEO) to all employees and applicants for employment without regard to race, color, religion, sex, national origin, age, disability, or genetics.
You must be authorized to work in the country in which you reside. Seeq does not sponsor US F1 or H-1B work visas.

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