The Principal AI Engineer leads implementation work in the AI Innovation Lab, focusing on building technical infrastructure, developing AI prototypes, and establishing best practices in a cloud environment.
Accomplished Tech Visionary:
Embark on an exciting journey into the realm of software development with 3Pillar!
We extend an invitation for you to join our team and gear up for a thrilling adventure.
The Principal/Senior AI Engineer will serve as the technical lead for all implementation work within the AI Innovation Lab.
This role is responsible for building the technical foundation and executing the initial pilots that will define the lab's success.
Responsibilities
Lead all technical implementation work for the AI Innovation Lab.
Design, set up, and maintain the technical infrastructure, including implementing a controlled AWS sandbox for safe exploration and development.
Establish guardrails and best practices for the development and testing of AI prototypes.
Execute initial pilots to validate AI concepts and use cases.
Build reusable patterns and templates within the AWS environment to ensure the lab builds repeatable capabilities.
Contribute to generating evidence-based recommendations for future productization of successful pilots.
Design, set up, and maintain the technical infrastructure, including implementing a controlled AWS sandbox for safe exploration and development.
Establish guardrails and best practices for the development and testing of AI prototypes.
Execute initial pilots to validate AI concepts and use cases.
Build reusable patterns and templates within the AWS environment to ensure the lab builds repeatable capabilities.
Contribute to generating evidence-based recommendations for future productization of successful pilots.
Requirements
Extensive experience as a technical lead, responsible for implementation work in an AI/ML context.
Deep expertise in setting up cloud-based technical infrastructure, specifically within an AWS environment.
Strong background in defining and implementing technical guardrails for safe AI exploration.
Proficiency in building reusable code patterns and templates for rapid prototyping.
Deep expertise in setting up cloud-based technical infrastructure, specifically within an AWS environment.
Strong background in defining and implementing technical guardrails for safe AI exploration.
Proficiency in building reusable code patterns and templates for rapid prototyping.
Similar Jobs
Artificial Intelligence • Software
The Senior/Principal AI Performance Engineer will optimize AI inference and training workflows, develop turnkey AI workloads, and enhance CIQ's performance engineering efforts while fostering collaboration across teams.
Top Skills:
AICudaDeepspeedFsdpHpcInfinibandJaxLlmMegatron-LmMlMpiNvidia NsightOnnx RuntimePyTorchRdmaTensorrt
Artificial Intelligence • Healthtech • Information Technology • Other • Analytics
The Principal AI Software Engineer leads a team, defines technical strategies, mentors engineers, and oversees the execution of AI services and workflows.
Top Skills:
APIsEmbeddingsLlm IntegrationMicroservices ArchitectureRetrieval-Augmented Generation (Rag) WorkflowsVector Search
.jpg)
Information Technology
Seeking a Principal Engineer to enhance car insurance software through AI/ML, cloud-native systems, and to lead engineering teams in developing quality solutions.
Top Skills:
.NetAIApi DesignAzureC#Event-Driven ArchitectureJavaMicroservicesMlPythonReact
What you need to know about the Los Angeles Tech Scene
Los Angeles is a global leader in entertainment, so it’s no surprise that many of the biggest players in streaming, digital media and game development call the city home. But the city boasts plenty of non-entertainment innovation as well, with tech companies spanning verticals like AI, fintech, e-commerce and biotech. With major universities like Caltech, UCLA, USC and the nearby UC Irvine, the city has a steady supply of top-flight tech and engineering talent — not counting the graduates flocking to Los Angeles from across the world to enjoy its beaches, culture and year-round temperate climate.
Key Facts About Los Angeles Tech
- Number of Tech Workers: 375,800; 5.5% of overall workforce (2024 CompTIA survey)
- Major Tech Employers: Snap, Netflix, SpaceX, Disney, Google
- Key Industries: Artificial intelligence, adtech, media, software, game development
- Funding Landscape: $11.6 billion in venture capital funding in 2024 (Pitchbook)
- Notable Investors: Strong Ventures, Fifth Wall, Upfront Ventures, Mucker Capital, Kittyhawk Ventures
- Research Centers and Universities: California Institute of Technology, UCLA, University of Southern California, UC Irvine, Pepperdine, California Institute for Immunology and Immunotherapy, Center for Quantum Science and Engineering
