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Ai Integration Engineer Jobs in Poway, CA (NOW HIRING)

On-site in Carlsbad, CA The Senior Integration Engineer is responsible for the ongoing improvement ... All AI-assisted evaluations and responses are reviewed by human recruiters before any hiring ...

On-site in Carlsbad, CA The Senior Integration Engineer is responsible for the ongoing improvement ... All AI-assisted evaluations and responses are reviewed by human recruiters before any hiring ...

Software Integration Engineer

San Diego, CA · On-site

$110K - $148K/yr

Support GPU-enabled workload integration, including driver configuration, device plugins, and scheduling for AI/ML computing use cases. * Provide technical mentorship to junior engineers and cross ...

Software Integration Engineer

San Diego, CA · Hybrid

$110K - $148K/yr

Support GPU-enabled workload integration, including driver configuration, device plugins, and scheduling for AI/ML computing use cases. * Provide technical mentorship to junior engineers and cross ...

Software Integration Engineer

San Diego, CA · On-site

$110K - $148K/yr

Support GPU-enabled workload integration, including driver configuration, device plugins, and scheduling for AI/ML computing use cases. * Provide technical mentorship to junior engineers and cross ...

Systems Integration Engineer 1

San Diego, CA · On-site

$177K/yr

As a Systems Integration Engineer 1 at Illumina, you will work in a collaborative, team-oriented ... Familiarity with AI tools, scientific programming or scripting (e.g., Python) for data analysis is ...

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Ai Integration Engineer information

See Poway, CA salary details

$45.5K

$127.1K

$177.5K

How much do ai integration engineer jobs pay per year?

As of Aug 31, 2026, the average yearly pay for ai integration engineer in Poway, CA is $127,129.00, according to ZipRecruiter salary data. Most workers in this role earn between $106,400.00 and $143,200.00 per year, depending on experience, location, and employer.

What is an AI integration engineer?

AI Integration Engineers are professionals who specialize in implementing artificial intelligence solutions into existing systems, products, or workflows. They work closely with data scientists, software developers, and business teams to ensure that AI models and technologies are effectively deployed and seamlessly integrated. Their responsibilities often include customizing AI tools, developing APIs, ensuring data compatibility, and monitoring performance post-integration. These engineers play a crucial role in bridging the gap between AI research and practical business applications.

What are some common challenges faced by AI integration engineers when deploying machine learning models into existing business systems?

AI Integration Engineers often encounter challenges such as ensuring compatibility between machine learning models and legacy systems, managing data privacy and security, and optimizing model performance for real-time applications. They must also address issues related to model scalability and monitoring, as well as facilitate smooth collaboration between data science, IT, and business teams. Overcoming these challenges requires strong problem-solving skills, effective communication, and a deep understanding of both AI technologies and enterprise infrastructure.

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

To thrive as an AI Integration Engineer, you need a solid background in computer science, programming (Python, Java, or similar), and experience with AI/ML frameworks, often supported by a bachelor's degree in a related field. Familiarity with cloud platforms (such as AWS, Azure, or Google Cloud), API development, and tools like TensorFlow or PyTorch is typically required. Strong problem-solving abilities, collaboration, and clear communication are essential soft skills for bridging technical and business needs. These competencies ensure successful deployment and seamless integration of AI solutions into existing systems, driving innovation and business value.

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

AspectAi Integration EngineerData Scientist
Required CredentialsBachelor's in CS, Engineering, or related; certifications in AI/ML toolsBachelor's or higher in CS, Statistics, or related; advanced degrees common
Work EnvironmentDeveloping and deploying AI solutions, integrating AI APIs into applicationsAnalyzing data, building predictive models, interpreting complex datasets
Employer & Industry UsageTech companies, AI service providers, software firmsResearch institutions, tech companies, finance, healthcare

While both roles involve AI, the Ai Integration Engineer focuses on implementing and integrating AI solutions into applications, whereas the Data Scientist analyzes data to develop models and insights. The roles often overlap but differ mainly in their primary focus: deployment versus analysis.

Are AI Integration Engineers highly paid?

AI Integration Engineers typically earn higher-than-average salaries due to their specialized skills in AI systems, programming, and data analysis. Compensation varies based on experience, location, and industry, but they are generally well-compensated compared to many other engineering roles.

What job categories do people searching Ai Integration Engineer jobs in Poway, CA look for?

The top searched job categories for Ai Integration Engineer jobs in Poway, CA are:

What cities near Poway, CA are hiring for Ai Integration Engineer jobs?

Cities near Poway, CA with the most Ai Integration Engineer job openings:

Infographic showing various Ai Integration Engineer job openings in Poway, CA as of August 2026, with employment types broken down into 76% Full Time, 22% Part Time, and 2% Contract. Highlights an 63% Physical, 4% Hybrid, and 33% Remote job distribution, with an average salary of $127,129 per year, or $61.1 per hour.

Advisor - Lab Automation Software Engineer, AI-Integration

San Diego, CA


Eli Lilly and Company
Pharmaceutical Product Wholesalers • 10K+ employees

8.8

Company rating: 8.8 out of 10

Based on 63 frontline employees who took The Breakroom Quiz

11th of 86 rated pharmaceutical

Great coworkers

People enjoy working here

Good employer


$110K - $148K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 22 days ago


Job description

At Lilly, we unite caring with discovery to make life better for people around the world. We are a global healthcare leader headquartered in Indianapolis, Indiana. Our employees around the world work to discover and bring life-changing medicines to those who need them, improve the understanding and management of disease, and give back to our communities through philanthropy and volunteerism. We give our best effort to our work, and we put people first. We're looking for people who are determined to make life better for people around the world.

The Biologics Automation and High-throughput Technologies Group at the Lilly Biotechnology Center in San Diego is seeking an Advisor Lab Automation Software Engineer to help build the intelligent systems that connect software, data, and physical lab automation in antibody discovery. Our team is working toward a vision of closed-loop autonomous discovery - where robotic platforms, lab digitalization, and AI-driven orchestration work together to accelerate how biologics are found and developed. In this role, you will own the software integration layer between our automation infrastructure and the digital tools that drive it, while helping to shape how emerging AI capabilities get woven into that foundation over time. If you're a seasoned software and integration engineer who is excited about what AI might do for laboratory science, we want to hear from you.

In this role, you will have the opportunity to:

Lab Automation Integration

  • Lead the design and implementation of reliable software integrations between orchestration layers and physical lab systems including liquid handlers, plate readers, robotic workstations, and analytical instruments

  • Own and evolve the translation layer between high-level workflow logic and low-level instrument control

  • Partner with automation engineers and biologists to ensure integrations are robust, maintainable, and production-ready

Platform & Infrastructure

  • Deploy and maintain containerized services using Docker and Kubernetes with GitOps and CI/CD practices

  • Integrate cloud-based orchestration frameworks with laboratory control systems and LIMS infrastructure

  • Build scalable, production-grade Python applications and data pipelines that connect experimental readouts with downstream analysis tools

AI & Intelligent Automation

  • Collaborate with the team to explore and prototype how AI-driven decision-making can be incorporated into existing automation workflows

  • Contribute to the team's evolving approach to autonomous orchestration, bringing software engineering rigor to early-stage AI integration efforts

  • Stay current with developments in LLM tooling and agent frameworks and help evaluate what is practically applicable to the lab environment

Technical Leadership

  • Serve as a technical authority and mentor within the automation engineering team, helping to grow capability across software, integration, and emerging AI systems

  • Influence the broader technical roadmap for autonomous discovery systems at the San Diego site

  • Evaluate tools, frameworks, and vendor solutions for strategic fit with the team's long-term vision

What Success Looks Like

  • Lab automation systems are reliably connected, well-instrumented, and generating clean data that flows seamlessly into digital workflows

  • The team's software architecture evolves from early-stage integrations toward scalable, production-grade infrastructure

  • AI capabilities are thoughtfully and pragmatically incorporated into automation workflows as the field matures

  • Your technical leadership accelerates the capability growth of the broader automation engineering team

Basic Qualifications

  • Ph.D. in Computer Science, Software Engineering, Bioengineering, or related discipline with a minimum of 3 years of relevant industry experience, or

  • M.S. in a related discipline with a minimum of 5 years of relevant industry experience, or

  • B.S. in a related discipline with a minimum of 8 years of relevant industry experience

  • Demonstrated experience integrating software systems with laboratory automation platforms is required across all levels.

Preferred Skills & Attributes

Software Engineering & Infrastructure

  • Strong Python development skills with proven experience building and maintaining production-level applications (FastAPI, Redis, Flask, pytest, etc.)

  • Deep hands-on experience with Docker, Kubernetes, and CI/CD pipelines in production environments

  • Experience with cloud-based orchestration frameworks such as Argo on Kubernetes

Lab Automation & Integration

  • Direct experience integrating software control systems with lab automation platforms (liquid handlers, analytical instruments, robotic workflows)

  • Hands-on familiarity with common biologics discovery instrumentation - liquid handlers (Beckman, Hamilton, HighRes, etc.), micro-dispensers, plate readers, or integrated robotic workstations - is a strong plus

  • Familiarity with scheduling and execution software used in integrated lab environments (Cellario, Green Button Go, Director, SAMI, VWorks, Genera, or similar)

  • Experience with LIMS platforms, ELN systems, or laboratory data pipelines

AI & Emerging Technologies

  • Curiosity about and some hands-on experience with LLMs, agent frameworks, or AI-driven workflow automation

  • Familiarity with orchestration tools such as LangChain, LangGraph, or similar is a plus - deep expertise is not expected

  • Demonstrated willingness to learn and experiment with new technologies as they emerge

  • General

  • Proven ability to move fluidly between architectural thinking and hands-on engineering execution

  • Strong collaboration skills - comfortable working across software, automation engineering, and biological science teams

  • Genuine curiosity about biologics discovery and a desire to understand the science well enough to build systems that truly serve it

Lilly is dedicated to helping individuals with disabilities to actively engage in the workforce, ensuring equal opportunities when vying for positions. If you require accommodation to submit a resume for a position at Lilly, please complete the accommodation request form (https://careers.lilly.com/us/en/workplace-accommodation) for further assistance. Please note this is for individuals to request an accommodation as part of the application process and any other correspondence will not receive a response.

Lilly is proud to be an EEO Employer and does not discriminate on the basis of age, race, color, religion, gender identity, sex, gender expression, sexual orientation, genetic information, ancestry, national origin, protected veteran status, disability, or any other legally protected status.


Our employee resource groups (ERGs) offer strong support networks for their members and are open to all employees. Our current groups include: Africa, Middle East, Central Asia Network, Black Employees at Lilly, Chinese Culture Network, Japanese International Leadership Network (JILN), Lilly India Network, Organization of Latinx at Lilly (OLA), PRIDE (LGBTQ+ Allies), Veterans Leadership Network (VLN), Women's Initiative for Leading at Lilly (WILL), enAble (for people with disabilities). Learn more about all of our groups.

Actual compensation will depend on a candidate's education, experience, skills, and geographic location. The anticipated wage for this position is

$141,000 - $206,800

Full-time equivalent employees also will be eligible for a company bonus (depending, in part, on company and individual performance). In addition, Lilly offers a comprehensive benefit program to eligible employees, including eligibility to participate in a company-sponsored 401(k); pension; vacation benefits; eligibility for medical, dental, vision and prescription drug benefits; flexible benefits (e.g., healthcare and/or dependent day care flexible spending accounts); life insurance and death benefits; certain time off and leave of absence benefits; and well-being benefits (e.g., employee assistance program, fitness benefits, and employee clubs and activities).Lilly reserves the right to amend, modify, or terminate its compensation and benefit programs in its sole discretion and Lilly's compensation practices and guidelines will apply regarding the details of any promotion or transfer of Lilly employees.

#WeAreLilly


Eli Lilly logo

About Eli Lilly

Sourced by ZipRecruiter

Eli Lilly, based in Indianapolis, IN, US, is one of the pioneers in the pharmaceutical industry with a rich history dating back to 1876. This global pharmaceutical company focuses on discovering, developing, manufacturing and selling pharmaceutical products in approximately 120 countries. The company's product categories include endocrinology, oncology, cardiovascular, neuroscience, and immunology. Having invested over $9 billion in research and development in the past decade, Eli Lilly is also committed to creating high-quality medicines that meet real needs. As a recipient of several awards and recognitions, Eli Lilly is known for its focus on life-saving research and drug development. Their mission is to make medicines that help people live longer, healthier, and more active lives.

Industry

Pharmaceutical product wholesalers

Company size

10,000+ Employees

Headquarters location

Indianapolis, IN, US

Year founded

1876


What Eli Lilly and Company employees say

Pay

Benefits

Hours and flexibility

Workplace

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