Artificial Intelligence Jobs in Visalia, CA

Advises lawyers and legal organizations on adopting Relativity’s AI platform and integrating AI into litigation, investigations, discovery, and compliance workflows. Builds customer relationships, leads tailored demonstrations, supports onboarding and training, drives adoption and measurable value, translates legal and technical concepts, and provides customer feedback to product and engineering teams.

Lead a data science team to design, build, and deploy large-scale, real-time AI/ML solutions (forecasting, diagnostics, LLM chatbot, retention models, optimization) to optimize GPU cloud gaming performance and user experience.

Leads enterprise product strategy and transformation initiatives across product, engineering, design, and business teams. Develops and scales AI-enabled and agentic product development practices, leads lighthouse engagements, coaches product leaders, improves operating models and governance, and establishes metrics for enterprise adoption. The role influences product direction and organizational effectiveness without formal authority and requires approximately 35% travel.

Supports Client Success Managers by coordinating client communications, meetings, agendas, documentation, study site information, reporting, and follow-up activities. Maintains action-item trackers, meeting minutes, client records, and site lists while coordinating with cross-functional teams to resolve requests, monitor commitments, identify overdue items, and keep client and study deliverables on track.

Leads AI and transformation initiatives across global Marketing Operations, including predictive scoring models, agentic workflows, intelligent automation, governance, and responsible AI adoption. The role combines hands-on model and automation delivery with strategy, process redesign, change management, training, stakeholder engagement, and feature governance. It also manages a small team and partners with Data & AI, Campaign Operations, and Technology Strategy teams.

Build and improve AI voice agents for healthcare customers by designing prompts, conversation flows, knowledge content, tool integrations, and workflows. Prototype capabilities, develop systematic testing, troubleshoot failures, measure patient and operational outcomes, and turn recurring customer needs into reusable platform improvements. Collaborate with customer delivery and platform engineering teams to deliver reliable agent experiences.

Develop and deploy machine learning models, datasets, algorithms, and training recipes to improve AI safety for multimodal LLMs and agentic systems. Work across LLM security, frontier risks, agentic safety, multi-turn evaluation, content safety, hallucinations, and fairness. Apply post-training methods including SFT and RLHF/RLAIF, conduct safety evaluations and research, and collaborate cross-functionally with engineering, data science, and research teams.

Develop and deploy machine learning datasets, models, evaluation systems, and MLOps tools focused on content safety, AI security, robustness, fairness, and responsible behavior for multimodal LLMs. Research bias detection and mitigation, define safety metrics, improve model monitoring and automation, and collaborate with engineering, data science, and research teams. The role also involves addressing harmful content, misinformation, hallucinations, adversarial robustness, and GenAI security.

Develop and optimize GPU-accelerated numerical linear algebra libraries for AI and high-performance computing. Design kernel generation, JIT compilation, matrix operations, and operator fusions; lead projects involving multiple engineers and teams; provide technical mentorship; collaborate with product management and customers on requirements and roadmaps; and improve performance and maintainability through architectural enhancements.

Design and build production tools, content pipelines, DCC integrations, and AI-enabled agentic workflows for creative production teams. Responsibilities include architecture, API development, testing, monitoring, release management, production support, and workflow automation. The role partners with artists and engineers, mentors team members, and leads technical decisions. Required experience includes 8+ years of software engineering, 2+ years of technical leadership, strong Python skills, DCC and content pipeline integration, and reliable multi-step AI workflow development.

Chief of Staff to the CEO responsible for driving company priorities, building the organization’s operating cadence, managing KPI reporting, leading cross-functional special projects, and increasing executive leverage. The role requires turning ambiguous problems into measurable plans, coordinating leaders and external partners, deploying AI effectively across operations, and improving organizational efficiency in a high-growth B2B SaaS environment.

Leads and builds NVIDIA’s AI Safety and Security Engineering team, hiring engineers across platform, security research, evaluation, and vulnerability tooling. Owns the Find, Validate, and Patch roadmap; guides architecture and evaluation trade-offs; partners with security, platform, and evaluation leaders; and communicates engineering progress clearly. The role requires extensive software engineering and engineering management experience, with expertise in complex systems, ML infrastructure, security tooling, or distributed platforms.

Lead NVIDIA’s AI for Quantum product strategy, roadmap, and go-to-market initiatives. Translate AI and quantum research into scalable platforms, developer tools, APIs, libraries, and workflows. Partner with researchers, engineers, quantum hardware companies, institutions, and developers to identify applications across quantum design, control, calibration, error correction, and algorithms. Evangelize the platform through technical communications, identify new AI, HPC, and quantum opportunities, and present product strategy to executives.

Develop and optimize GPU-accelerated generative AI training and inference workloads on NVIDIA platforms. Collaborate with developers, academia, and internal engineering teams to improve algorithms, frameworks, low-level libraries, hardware, and software performance. Analyze CPU and GPU architectures, contribute to open-source projects, and communicate innovations through technical publications and conferences.

Own enterprise customers’ AI adoption roadmaps from deployment through expansion. Partner with executives, Product, Professional Services, Sales, Success, and partners to design solutions, coordinate delivery, resolve escalations, and drive measurable adoption, retention, and revenue outcomes. Advise on responsible AI, data governance, compliance, and operational excellence while using analytics to identify risks and optimize customer success.

Evaluate AI model outputs, audit data and model behavior, identify edge cases and failure modes, apply and improve evaluation guidelines, communicate performance trends, participate in calibration discussions, and document actionable findings. The role requires native-level Tamil, strong English and writing skills, critical judgment, attention to detail, and familiarity with GenAI safety considerations. This is a full-time, one-year, 100% onsite contract position.

Own regional sales of Butterfly’s point-of-care ultrasound platform to nursing teams, from prospecting through negotiation and close. Build relationships with nurse leaders, clinical educators, and healthcare organizations; deliver product demonstrations; develop clinical champions; manage pipeline and forecasting; and provide market feedback. The role requires active RN credentials, recent bedside or clinical education experience, proven quota-carrying sales success, and up to 75% regional travel.

Consultative Sales Engineer responsible for driving complex sales opportunities, designing cloud data security and data risk management solutions, delivering proof-of-value engagements and technical demonstrations, advising executive stakeholders, supporting partner channels, and coordinating cross-functional resources. The role requires cloud security, IAM, networking, databases, encryption, privacy, data governance, and strong technical communication skills.

The role involves designing and developing high-performance web apps, improving user interfaces, maintaining component libraries, and ensuring code quality through comprehensive testing and collaboration with other teams.

Own the architecture and technical strategy for Square’s go-to-market systems. Build and operate production AI agents, automated workflows, and integrations that improve sales productivity. Lead complex initiatives through architecture, implementation, testing, deployment, and operations while establishing AI evaluation, observability, security, reliability, and human-oversight practices. Partner with Sales, Product, Data, and Engineering leaders to translate business needs into scalable solutions, make build-versus-buy decisions, mentor engineers, and improve business impact through data and user feedback.

Own the architecture and technical strategy for Square’s go-to-market technology stack. Build and operate production AI agents, automated workflows, and integrations that improve sales productivity. Lead complex technical initiatives, establish AI reliability and security guardrails, define evaluation metrics, and guide build-versus-buy decisions. Partner with Sales, Product, Data, and Engineering leaders while mentoring engineers and remaining hands-on across design, implementation, testing, deployment, and operations.

Leads accounting systems transformation and finance automation, including NetSuite and Salesforce optimization, AI agent deployment, integrations, reporting, and internal tooling. Owns project plans, testing, training, go-live, controls, and executive reporting while partnering with engineering and cross-functional teams. Identifies automation opportunities, pilots AI vendors, supports SOX requirements, and trains finance staff on new workflows.

Own growth marketing for an AI systems integrator by translating engineering work into compelling stories, videos, demos, and written content. Manage and measure channels including LinkedIn, YouTube, and X; run experiments against pipeline outcomes; and build lightweight tools, dashboards, scrapers, and microsites. The role requires strong writing, genuine AI interest, working-level Python or TypeScript skills, and comfort using AI coding tools. Candidates may be early-career and must be in New York or San Francisco or willing to relocate.

Own the end-to-end product management cycle, including customer discovery, user interviews, solution definition, product requirements, AI prototyping, engineering collaboration, feature launches, and communicating product value. The role focuses on rapidly delivering mobile and web products that improve construction workflows, using data and decisive ownership to address complex customer and operational needs.

Leads Zendesk’s global AI Services Consulting organization, establishing strategy, operating models, service portfolios, governance, delivery standards, capacity planning, and commercial performance mechanisms. Builds leadership capability and scalable consulting operations while partnering with Sales, Customer Success, Product, Engineering, Finance, and executive customers. Drives measurable AI adoption, customer value, retention, expansion, delivery quality, and margin through repeatable enterprise services and cross-functional alignment.