Top 211 Associate principal, ai engineering Jobs in San Diego, Ca

Security Engineer, AI Platform Engineering
Saronic Technologies —San Diego, CA
- Full-time
- Customer service
- Senior level
- Teaching
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13d
Mechanical Engineer - AI Trainer
DataAnnotation —San Diego, CA
- From $60 an hour
- Part-time
- Remote
- English
- Mid-level
- Bachelor's degree
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Mechanical Design Engineer - AI Trainer
DataAnnotation —San Diego, CA
- From $60 an hour
- Part-time
- Remote
- English
- Mid-level
- Bachelor's degree
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Mechanical Designer - AI Trainer
DataAnnotation —San Diego, CA
- From $60 an hour
- Part-time
- Remote
- English
- Mid-level
- Bachelor's degree
Quick Apply
Associate Principal, AI Engineering
Illumina —San Diego, CA
- $187,400 - $281,000 a year
- Full-time
- Background check
- Azure
- Computer Science
- Dental insurance
- Paid time off
AI Engineering Operations Analyst
Qualcomm —San Diego, CA
- $108,000 - $162,000 a year
- Engineering
- Mid-level
- High school diploma or GED
Functional Verification Agentic AI focused - Application Engineer
Siemens —San Diego, CA
- $293,700 a year
- Full-time
- Hybrid work
- Senior level
- Electrical Engineering
- 10 years
Associate Director, AI/ML Engineering
Acadia Pharmaceuticals Inc. —San Diego, CA
- $172,000 - $215,000 a year
- Hybrid work
- Computer science
- 7 years
- Computer Science
- Paid parental leave
- Employee stock purchase plan
Agentic AI Engineer — Healthcare AI
Deloitte —San Diego, CA
- $110,700 - $372,900 a year
- Full-time
- Computer Science
- Up to 50% travel
- System design
Engineer, AI Platforms and Solutions
Qualcomm —San Diego, CA
- $94,200 - $141,200 a year
- Full-time
- Computer Science
- Engineering
- Mid-level
Gen AI Transformation Engineer – Embedded Software & Engineering Productivity
Qualcomm —San Diego, CA
- $134,800 - $202,200 a year
- Computer science
- Computer Science
- Engineering
Full Stack AI Systems Engineer
Apple —San Diego, CA
- $142,300 - $263,300 a year
- Computer science
- Computer Science
- 5 years
- Employee stock purchase plan
- Health insurance
Machine Learning Engineer - College Graduate
Qualcomm —San Diego, CA
- $122,800 - $184,200 a year
- Computer Science
- Analysis skills
- Entry level
Applied AI Engineer
Splitero —San Diego, CA
- $135,000 - $175,000 a year
- Remote
- Writing skills
- AWS
- Organizational skills
- Health insurance
- Paid time off
Quick Apply
6d
#Agentic AI Windows Power and Thermal Engineer
Qualcomm —San Diego, CA
- $94,200 - $141,200 a year
- Computer science
- Computer Science
- Engineering
AI Engineer
Sony Interactive Entertainment —San Diego, CA
- $150,000 - $225,000 a year
- Computer science
- Azure
- Computer Science
- Wellness program
- Health insurance
Program Manager, Enterprise AI
Jacobs —San Diego, CA
- $110,000 - $150,000 a year
- Remote
- Management
- Engineering
- Organizational skills
- Paid holidays
- Health insurance
6d
US Tech - AI Engineering Manager
PRICE WATERHOUSE COOPERS —San Diego, CA
- $73,500 - $244,000 a year
- Remote
- Azure
- DevOps
- System design
- Paid holidays
- Health insurance
Research Software Engineer I - Center for AI and Research Computing (AIRC)
Salk Institute for Biological Studies —La Jolla, CA
- $33 - $38 an hour
- Computer Science
- Bachelor of Science
- Mid-level
- Health insurance
- Dental insurance
7d
AI Engineer
The Goal Family of Companies —San Diego, CA
- $140,000 - $150,000 a year
- Full-time
- Hybrid work
- Azure
- Computer Science
- Mid-level
- Paid parental leave
- Health savings account
Quick Apply

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associate principal, ai engineering jobs near san diego, ca

Security Engineer, AI Platform Engineering

Saronic Technologies -
San Diego, CA

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Job Details

Full-time
13 days ago

Qualifications

AI models
Containerization systems
Application Integration
Non-technical user support
Customer communication
Systems integration
Software engineering
Continuous deployment
Tooling
Infrastructure as Code (IaC)
User training (technical support)
Technical user customer support
Production systems
Machine intelligence
Model deployment
Data access controls implementation
Developing data pipelines
Developing and maintaining backend systems
Cloud automation
Access control management
DevOps automation
AI-driven automation
Teaching
Teaching technology use

Full Job Description

Saronic Technologies is a leader in revolutionizing autonomy at sea, dedicated to developing state-of-the-art solutions that enhance maritime operations through autonomous and intelligent platforms.

Security at Saronic is a force multiplier, not a blocker. AI is being adopted fast across our company, and we’re looking for a Security Engineer for AI Platform Engineering to make AI both safe and self-service. Think of this as a platform and enablement function for AI: you’ll build the paved, secure road so teams don’t have to take the shadow one. You’ll help e peoplacross the business use AI well, put the right guardrails and visibility in place, and build the more complex, well-hosted, secure AI solutions that departments need so great ideas get built properly instead of turning into ungoverned risk and liability.

This is a customer-facing role, and your customers are your colleagues in every department. You’ll partner with teams across the company to understand what they’re trying to accomplish, teach them to use AI effectively and safely, and build the solutions that need real engineering, security guardrails, and proper hosting.

This is an opportunity to define how an entire company uses AI safely, and own AI governance and security from the ground up, and build AI applications that make every department more capable.

How we think about building with AI. Anyone can make a demo now. A good-looking front end is nearly free, AI will generate a slick dashboard from a one-line prompt, and it will look impressive in a meeting. That is the easy part. The real skill, and what this role is about, is using AI to build robust backends, infrastructure, and integrations, wired to real data and real systems, that reliably solve a business problem in production. We hire people who can tell the difference between something that looks like it works and something that works, and who are drawn to the second.

What You’ll Do

Enable Departments and Build: Build AI-powered applications, agents, and automations for teams across the company on our cloud platforms, with real backends, infrastructure, and integrations to real data and systems, for properly hardened, compliant, well-hosted, secure-by-default solutions, so departments don’t ship insecure ad-hoc vibe-coded tools themselves.
Educate & Set Standards: Teach teams to use AI safely and effectively for their own work, and set company-wide standards for good, safe AI usage.
Govern: Own AI governance, visibility, and inventory; monitoring and logging of AI usage; and prompt- and output-level data-loss-prevention to protect sensitive data, including customer data.
Guardrails: Put guardrails in place for AI usage, treat AI agents as identities with least privilege, govern model and agent access, and make the sanctioned path the best path so “shadow AI” doesn’t take hold.
Craft Reliable AI: Build agents and workflows that actually work, design tool use and MCP integrations, manage context and memory, and validate quality with evaluative loops.

How You Work

How you work matters as much as what you build. This role represents our team to the entire company, so we’re looking for someone who is genuinely energized by teaching and unblocking people, not someone who wants to be the smartest person in the room. You’ll thrive here if you are:
Kind and patient by default. You meet people where they are, answer the “basic” question as generously as the hard one, and never make someone feel small for not knowing something. You stay with people through the problem instead of handing off a fix and making it someone else’s problem.
Low-ego and intellectually humble. You explain technical ideas to non-technical colleagues without condescension, you say “I don’t know, let’s find out,” and you own your mistakes. Strong opinions, loosely held.
A natural teacher and enabler. You get more satisfaction from making ten colleagues more capable than from being the lone hero, and you turn one-off help into reusable guidance and patterns.
Deeply empathetic and a good listener. You start from the person’s actual problem, not your preferred solution, and you’re the voice of the user back to the security and platform teams.
Values-aligned and high-agency. You collaborate across engineering, security, legal, and business teams with integrity, and you navigate ambiguity while keeping everyone with you.

Required Qualifications

You’re a genuine AI power user who builds: you’ve shipped agents, tools, or automations with LLMs, and you can walk through the hard parts
You build real backends and infrastructure, not just demos: APIs, data pipelines, authentication and secrets, hosting and deployment (containers, Infrastructure-as-Code, CI/CD), and systems integration, made reliable with observability, evals, and graceful failure handling
Fluency with modern agent concepts: agentic loops, agent harnesses, context engineering, tool use / function calling, MCP, and evals
Working knowledge of the strengths and weaknesses of different AI models and platforms, and how to match the right model to a task
Enough software and security foundation to build and secure production systems, with sound judgment on data handling and safe AI usage
Immense kindness and patience for supporting and teaching non-technical users
Ability to obtain and maintain a U.S. security clearance
We are not looking for degrees or certifications in Artificial Intelligence. We care about what you’ve built and what you can do. Self-taught practitioners and career-changers are welcome; this role is about outcomes and attitudes.

Preferred Qualifications

Experience with AI governance, DLP, monitoring/logging, or guardrails for AI usage
Building and hosting AI solutions in the cloud
A security background (application, cloud, or data protection)
Experience teaching, enabling, or supporting non-technical teams

If this role is based in the United States, it requires access to export-controlled information or items that require “U.S. Person” status. As defined by U.S. law, individuals who are any one of the following are considered to be a “U.S. Person”: (1) U.S. citizens, (2) legal permanent residents (a.k.a. green card holders), and (3) certain protected classes of asylees and refugees, as defined in 8 U.S.C. 1324b(a)(3).

Saronic does not discriminate on the basis of race, sex, color, religion, age, national origin, marital status, disability, veteran status, genetic information, sexual orientation, gender identity or any other reason prohibited by law in provision of employment opportunities and benefits. We are also committed to providing reasonable accommodations for qualified individuals with disabilities.

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Refine Your Search

associate principal, ai engineering jobs in san diego, ca

Security Engineer, AI Platform Engineering

Mechanical Engineer - AI Trainer

Mechanical Design Engineer - AI Trainer

Mechanical Designer - AI Trainer

Associate Principal, AI Engineering

AI Engineering Operations Analyst

Functional Verification Agentic AI focused - Application Engineer

Associate Director, AI/ML Engineering

Agentic AI Engineer — Healthcare AI

Engineer, AI Platforms and Solutions

Gen AI Transformation Engineer – Embedded Software & Engineering Productivity

Full Stack AI Systems Engineer

Machine Learning Engineer - College Graduate

Applied AI Engineer

#Agentic AI Windows Power and Thermal Engineer

AI Engineer

Program Manager, Enterprise AI

US Tech - AI Engineering Manager

Research Software Engineer I - Center for AI and Research Computing (AIRC)

AI Engineer

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