div class="content">FieldAI’s Irvine team is where embodied AI meets real robots, real sensors, and real field deployments. We bring deep experience from organizations such as DeepMind, NASA JPL, Boston Dynamics, NVIDIA, Amazon, Tesla Autopilot, Cruise, Zoox, Toyota Research Institute, and SpaceX, along with a track record of field deployments and strong performance in DARPA challenge segments.
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Huntington Beach, California30+ days ago
Experience leading AI adoption strategy at the program level: selecting use cases, sequencing investments, and designing how AI capabilities (assistive tools, intelligent automation, or autonomous agents) integrate into enterprise operations. Experience helping clients envision and design new business solutions, products, or operating models, translating strategic opportunities into concrete concepts that teams can build, measure, and scale.
You have deep expertise in generative AI, LLMs, agentic systems, knowledge graphs, reinforcement learning, and advanced architectures like Transformers and deep neural networks. You will lead high-impact research initiatives, collaborate with scientists and engineers to explore emerging techniques, and publish industry-leading ideas that empower our broader AI community.
p> Must have Technical skills: - 5+ years of experience in software engineering, data engineering, or AI/ML engineering.
- AWS: Neptune, OpenSearch, DynamoDB, ElastiCache (Redis), IAM, CloudWatch.
p>If you're passionate about making a lasting impact, eager to champion responsible AI adoption, and thrive on building relationships that fuel innovation-this is your chance to be the catalyst for real change, helping organizations across industries shape their futures with confidence and clarity. As a pivotal member of our team, you won't just be selling solutions-you'll be empowering our customers to unlock the full potential of workplace AI, intelligent agents, and robust data platforms, regardless of the cloud ecosystem they prefer.
Our team works closely with creative engineers, designers, marketers, etc. to help design and develop technologies that improve access to the world"s information. Coordinate cross-functionally with engineering, UX, marketing, research, sales, and support operations teams to manage successful feature launches and communicate status to stakeholders.
AI Agent / Prompt Engineer designs, builds, and hardens production grade AI agents that use large language models to reason, invoke tools, retrieve enterprise knowledge, and recover from errors. - Design, build and deploy multi‑step prompt chains for complex of reasoning, planning, tool integration, and error recovery ensuring accuracy, reliability and contextual awareness.
In this role, you will connect the business and technical worlds to guide AI-driven chat and automated tool features from conception to launch, ensuring we build high-impact, compliant, and scalable solutions. Our team works closely with creative engineers, designers, marketers, etc. to help design and develop technologies that improve access to the world"s information.
This internship offers a unique opportunity to work on real-world business challenges, explore emerging AI technologies, and help shape how artificial intelligence and automation are used across our organization. Quinn Company CAT Location: City of Industry, CA (Must reside in California and within Los Angeles County) Internship Duration: 3-6 Months (ON SITE ONLY) Pay: $20.59-$30.00 per hour.
You may work alongside product management and change management resources, but you should expect to own the technical execution of the AI enablement program independently and to build the program's reach through training and documentation, not headcount. Experience connecting source databases (SQL Server or equivalent) to downstream destinations (Postgres, CSV, API endpoints) using integration tooling or custom connectors.
City of Industry, California12 days ago
This internship offers a unique opportunity to work on real-world business challenges, explore emerging AI technologies, and help shape how artificial intelligence and automation are used across our organization. Currently pursuing a Bachelor's or Master's degree in Computer Science, Information Systems, Data Analytics, Engineering, Business Analytics, or a related field.
p>You bring strong expertise in designing and building scalable, production-ready AI solutions, with deep hands-on experience in LLM-enabled applications, agent-based systems, and cloud-native architectures. Lead integration of AI solutions with backend systems and enterprise platforms (APIs, internal tools, data platforms).
The ideal candidate will actively write production code, define system architecture, and lead adoption of agentic development workflows across the engineering team. We are seeking an AI-Native Full Stack Engineer / Technical Lead to drive the design, development, and delivery of modern, AI-powered software systems.
Irvine, California23 days ago
p/>Salary Range: 65,000.00 - 108,000.00 USD Annual
This pay range represents the minimum and maximum compensation that the position offers, and final compensation can vary within the range depending on work location, job experience, skills, and relevant educational attainment and/or training.
ETAP requires all successful applicants to undergo and pass a comprehensive background check before they start employment. In this role, you will collaborate with cross-functional teams including power systems engineers, data scientists, software developers, and UI specialists to design and implement intelligent assistance tools that support modeling, analysis, planning, protection, and operation of electrical power systems.
Lake Forest, CA30+ days ago
li>As an AI Application Engineer, you will act as the bridge between semiconductor test engineering workflows and AI systems, enabling step-change improvements in productivity such as: test program generation. As a member of the US AI R&D team, you will work closely with 93K R&D engineers, AI engineers, and data scientists to define, develop, and deploy next-generation AI capabilities for the V93000 platform.
li>Work with Google accounts and cross-functional teams (e.g., Customer Engineering, Marketing, Customer Success, Product, Engineering, Channels) to develop go-to-market strategies, drive pipeline and business growth, close agreements, represent customer, and provide excellent prospect and customer experience.
Note: By applying to this position you will have an opportunity to share your preferred working location from the following: New York, NY, USA; Atlanta, GA, USA; Austin, TX, USA; Boulder, CO, USA; Cambridge, MA, USA; Chicago, IL, USA; Irvine, CA, USA; Los Angeles, CA, USA; Reston, VA, USA; Seattle, WA, USA; San Francisco, CA, USA.
Partner with business, technology, data, operations, and executive stakeholders to identify opportunities, build AI roadmaps, govern implementation, and scale AI capabilities across the organization. Experience with cloud and AI platforms such as Amazon Web Services, Microsoft Azure`, Google Cloud, Anthropic.
Newport Beach, CA4 days ago
p>As an AI Acceleration Lead you'll move Pacific Life, and your career, forward by coordinating GenAI initiatives, driving cross-functional alignment, and turning complex inputs into clear plans, communications, and next steps. Partner with business, analytics, technology, and PMO teams to drive alignment, resolve dependencies, and support delivery across cross-functional programs.
This role will closely partner with product and engineering teams to operationalize AI capabilities in externally facing applications and drive evolution toward agentic AI systems. The role focuses on enabling LLM-powered capabilities through vector search, graph-based knowledge systems, and governed data pipelines.
Collaborate with cross functional teams including data scientists, software engineers, product managers, and business analysts to define project scope, objectives, and deliverables. This position bridges the gap between technical AI development teams and business stakeholders, ensuring that AI solutions are delivered on time, within scope, and aligned with organizational objectives.
p>PwC does not intend to hire experienced or entry level job seekers who will need, now or in the future, PwC sponsorship through the H-1B lottery, except as set forth within the following policy: https://pwc.to/H-1B-Lottery-Policy. At PwC, our people in software and product innovation focus on developing cutting-edge software solutions and driving product innovation to meet the evolving needs of clients.
p>Key Responsibilities: • Lead the end-to-end development of advanced AI solutions, including agentic systems, RAG pipelines, and multi-agent workflows • Design and implement embedding and chunking strategies essential for effective Retrieval-Augmented Generation (RAG) across enterprise data • Create integrations to connect AI agents with enterprise data systems, APIs, and services • Develop robust, production-grade asynchronous Python applications with proper error handling and session management • Implement vector database and graph database solutions for semantic search and knowledge representation • Establish agentic architecture, including data flows, interfaces, and mechanisms across all enterprise systems • Deploy and manage AI agents on cloud platforms using CI/CD pipelines, infrastructure as code, and managed AI services • Implement monitoring, logging, and observability for agent interactions to guarantee system reliability and support debugging • Develop context engineering strategies that assemble dynamic context for consistent and accurate Large Language Model (LLM) behavior • Engage with clients to translate business requirements into AI solution architectures, and balance feature development with technical debt management.
Additional Skills:
• Experience with AI/ML agent orchestration frameworks such as Google ADK, LangChain, or similar tools • Experience with multi-agent architectures and workflow orchestration patterns • Experience with LLM evaluation methodologies, including metrics design, hallucination detection, and A/B testing for prompt optimization • Understanding of context engineering principles, including dynamic context assembly, tool result formatting, and conversation state management • Experience with Snowflake or BigQuery, including query optimization and connection management • Experience managing data systems, including persistence selection, schema design, and read/write tradeoffs • Familiarity with MLOps patterns and model deployment pipelines.
Rancho Santa Margarita, CA30+ days ago
In this role, you will build agentic systems capable of performing multi-step tasks, interacting with external systems, integrating with APIs and tools, and orchestrating complex workflows end-to-end. Agent Systems: Build autonomous AI agents that interact with APIs, databases, and tools using frameworks like LangChain, LangGraph, AutoGen, or custom solutions.
Examples of the skills, knowledge, and experiences you need to lead and deliver value at this level include but are not limited to: Craft and convey clear, impactful and engaging messages that tell a holistic story. PwC does not intend to hire experienced or entry level job seekers who will need, now or in the future, PwC sponsorship through the H-1B lottery, except as set forth within the following policy: https://pwc.to/H-1B-Lottery-Policy.
Required Experience and Skills Current JuniorSenior undergraduate studying Computer Science Data Science Electrical Mechanical or Industrial EngineeringMust be able to temporarily relocate to work on-site full-time hours from Jan to June 2026Experience using programming languages Python and AIML frameworks like Pytorch and an understanding of AI algorithms. Desired Experience and Skills Programming in Python for over 2 years understanding of AIML algorithms be able to solve problems quicklySelf-starter with a strong work ethic eager to tackle challenges and take ownership.
li> Define how HR Assist integrates with: Workday (transactions, case management, knowledge, workflows), Microsoft Copilot (productivity, enterprise workflows, M365 ecosystem), Claude or similar LLM platforms (advanced reasoning, content generation, knowledge synthesis), Dayforce and other systems (employee-facing use cases). This role will combine deep Workday and HR domain knowledge, strong technical architecture thinking, and AI platform expertise to help design how HR Assist connects across systems, leverages AI capabilities, and delivers a seamless, intelligent employee experience.
Long Beach, CA30+ days ago
In this role, you will lead the end-to-end engineering delivery and operational health of corporate platforms (e.g., Workday and its ecosystem), spanning integrations, security architecture, digital experience, analytics/data, and enterprise AI enablement. You will partner with business and technology leaders to modernize platforms, improve employee and manager experiences, and ensure solutions are resilient, compliant, and built for long-term value across the Family of Companies.
Business Problem Solving with an AI-First Lens: Take ambiguous, complex business problems and apply an AI-first mindset to define the challenge, identify opportunities, and recommend practical, scalable solutions - often in real time in front of highly technical audiences. Executive-Level Demonstrations & Prototyping: Be prepared to design and deliver compelling, customized product demonstrations and rapid prototypes - including live demos - tailored to a wide range of technical, business, and executive personas.
Newport Beach, California30+ days ago
As we expand our digital capabilities, this role will play a pivotal part in building intelligent automation and data-driven solutions that enhance our operational efficiency and customer experience. You will collaborate closely with the Chief Business Officer and a small, agile development team to deliver innovative AI-powered systems that support our marketing, analytics, and compliance objectives.
Huntington Beach, California30+ days ago
p style="text-align:inherit"/>The Azure AI Engineer will be responsible for designing, developing, and deploying intelligent solutions using Azure AI services, Azure AI Foundry, Copilot Studio, and OpenAI technologies, while working on advanced projects involving Large Language Models (LLMs), forecasting and time series modeling, and Lakehouse architectures to drive business transformation and automation.
• Design and implement AI/ML solutions using Azure Machine Learning, Azure AI Foundry, OpenAI on Azure, and Copilot Studio to deliver intelligent business applications.
Newport Beach, California5 days ago
As an AI Acceleration Lead you’ll move Pacific Life, and your career, forward by coordinating GenAI initiatives, driving cross-functional alignment, and turning complex inputs into clear plans, communications, and next steps. Partner with business, analytics, technology, and PMO teams to drive alignment, resolve dependencies, and support delivery across cross-functional programs.
Preference for at least one of the following fields of study: Management Information Systems, Computer and Information Science, Systems Engineering, Mathematics, Engineering, Electrical Engineering, Chemical Engineering, Industrial Engineering, Mathematics, Statistics, or Mathematical Statistics, Data Processing/Analytics/Science, Artificial Intelligence and Robotics. At least one of the following: Certifications aligned to data engineering, machine learning, and cloud platforms, including AWS, Google Cloud, Microsoft Azure, Databricks, Snowflake, or related data and AI credentials.
If you want to learn more about us visit us at www.panasonic.aero and for a full listing of open job opportunities go to www.panasonic.aero/join-us/ Responsibilities The Position: The AI Quality Engineer I supports the Process Assurance organization by designing, developing, and maintaining AI‑enabled and automated solutions that enhance quality, compliance, and audit readiness across the software development lifecycle. Other offerings include: Wellness Program, Counseling services, FSA & HSA, Life Insurance for employee, spouse and child, AD&D Insurance, Long-term and Short-term disability, Critical Illness Insurance, Accident Insurance, Legal Assistance, Pet Insurance, Identity Theft Protection, Dependent Care FLSA, Education Assistance, Commuter Program, Employee Purchase Program, Service Award Program.