Artificial Intelligence Jobs in Santa Ana, CA

The role involves designing AI systems for IC calibration and optimization, collaborating with design teams, and applying ML techniques to analog/mixed-signal circuits.

Lead a global GTM operations team to redesign, automate, and integrate GTM processes with an AI-first approach. Identify, prioritize, and deploy AI/automation solutions and integrations at scale, collaborate with IT and cross-functional leaders, drive adoption and change management, and serve as a trusted advisor to GTM leadership.

Own the product vision, roadmap, and delivery for AI-enabled platforms across Aprio. Translate practice requirements into user stories, lead development lifecycles, coordinate onshore/offshore teams, validate and integrate LLMs and AI tooling, and engage stakeholders while ensuring responsible AI, data privacy, and client confidentiality.

Design, prototype, and deploy agentic AI solutions and AI Ops infrastructure (orchestration, memory, tooling, observability). Build RAG/retrieval systems, evaluation and testing pipelines, and agent-native workflows to automate engineering and customer-facing tasks. Collaborate with engineering, product, and field teams to scale reliable, field-ready AI for robotics deployments.

Lead architecture and implementation of production-grade agentic systems integrating LLMs across applications. Drive LLM integration strategy, cognitive automation roadmap, scalable distributed system design, best practices, cross-functional alignment, and mentor engineering talent.

Lead and mentor AI engineers and data scientists to research, prototype, and productionize scalable AI/ML solutions (NLP, CV, predictive analytics, generative AI). Own MLOps, cloud integrations (Azure, AWS, GCP), ethical AI governance, model monitoring/versioning, and cross-functional deployment to meet business objectives.

The AI AppSec Engineer V will secure AI solutions, mentor teams, and ensure the integration of security into AI development lifecycles. Responsibilities include threat modeling, code analysis, and contributing to security policies.

Design and build Executive Communication Agents for leadership operations, focusing on automation of workflows and integrations with enterprise tools while collaborating closely with executives.

Design, build, deploy, and maintain AI-integrated full-stack web applications, chatbots, and dashboards. Collaborate with ML and backend teams to ensure secure, scalable, high-availability production systems and monitor model outputs and training analytics.

Manage complex data and AI projects, acting as a bridge between strategy and execution. Define project roadmaps, facilitate Agile governance, manage risks, and ensure quality assurance.

The Lead Product Engineer will design and deploy enterprise applications, drive Azure migrations, and collaborate with cross-functional teams in an AI-driven environment, mentoring junior engineers and implementing best practices.

Lead design and delivery of enterprise-scale AI/GenAI platforms and Databricks architectures across major cloud providers. Drive technical strategy, client discovery, reference architectures (data pipelines, feature stores, model training, vector DBs, real-time inference), mentor teams, define responsible-AI and security best practices, and represent the firm externally.