Artificial Intelligence Jobs in Visalia, CA

As a Senior Data Scientist, you will lead AI risk assessments, coordinate with stakeholders, and ensure effective AI governance practices for safe financial application deployment.

Lead design and delivery of production autonomous agents and agentic workflows: architect orchestration, integrate and optimize frontier LLMs, drive model fine-tuning and evaluation, mentor engineers, and translate business goals into safe, reliable, scalable AI-powered product experiences.

The Vice President leads strategy and communications for B2B technology accounts, ensuring excellence in client service, team development, and market influence. They drive growth through integrated communications and thought leadership, while mentoring staff and overseeing high-value accounts in complex technology sectors.

In this role, you will lead AI personalization initiatives, develop AI/ML models for user experience, collaborate across teams, and ensure rigorous development practices.

As the Senior Data Scientist for AI & Model Risk, you will lead AI risk assessments, coordinate with stakeholders, evaluate AI system designs, and ensure compliance with risk management principles in financial services.

The AI Executive Partner will advise C-Suite executives on leveraging AI to drive business outcomes, manage member relationships, and deliver innovative AI solutions.

The AI Software Engineer will design and implement AI-powered features, focusing on machine learning models and their integration into production systems. Responsibilities include end-to-end development, experimentation with new tools, and improving software performance.

Lead technical engagements with customers, developing AI solutions, optimizing workloads on GPUs, and collaborating cross-functionally to improve infrastructure efficiency.

Collaborate with AI/ML researchers to identify and fix infrastructure and application inefficiencies on GPU clusters; build tools and ML-based analyzers; monitor fleet utilization; optimize hardware, software, and distributed training/inference performance; and promote adoption of efficient AI/ML practices.

Lead cross-functional technical programs for Heroku AI operations, align stakeholders, drive agile software delivery, manage release planning, remove obstacles, report to executives, and ensure on-time delivery of platform initiatives.

Lead pre-sales design and rapid prototyping of agentic AI MVPs that demonstrate business value. Translate customer needs into production-ready architectures, build multi-agent solutions with LLMs, design MCP servers and integrations, and deliver polished React UIs and live demos. Advise on security, governance, deployment models, and iterate with sales and product teams to accelerate platform adoption.

Design and build AI-driven interactive prototypes and production-ready flows using AI coding tools. Own prompt-to-pipeline solutions, validate via experiments and user research, produce high-fidelity UX in Figma, and collaborate with engineering to move prototypes to production while aligning business, design, and tech.

Customer-facing principal solutions engineer who researches, prototypes, and architects enterprise AI solutions. Designs and runs training pipelines and large-scale experiments, develops model tuning, agent inferencing, and corpora lifecycle methods, and drives the technical sales lifecycle while advising product and engaging customers and community through demos, evangelism, and strategic consultation.

Develop AI compiler solutions, optimize GPU programming, build training pipelines, collaborate on integrating AI policies, and conduct rigorous performance benchmarking.

The role involves deploying AI networking solutions in data centers, driving architectural decisions, troubleshooting network issues, and collaborating on customer projects for NVIDIA's technology solutions.

Seeking a Machine Learning Compiler Engineer with expertise in compiler technologies, machine learning, and software engineering to innovate in development tools and AI solutions.

The role involves researching and developing GPU-accelerated AI workloads, optimizing algorithms, and collaborating with technical experts to improve hardware performance.

As a Senior Software Architect for AI Networking, you'll design and implement AI networking technologies, optimize data processing in AI systems, and collaborate on cutting-edge solutions.

The Program Manager, AI Adoption & Enablement will lead AI adoption initiatives, coordinate training, and support employee engagement in AI technologies to improve productivity and collaboration.

Lead the design and implementation of GPU compute clusters for deep learning and high-performance workloads, manage large-scale systems and ensure efficient resource utilization.

The VP of Data & AI Engineering leads Duck Creek's enterprise data and AI strategy, overseeing global teams, implementing scalable platforms, and ensuring data governance and responsible AI practices.

As an AI Solution Engineer, you will architect and demonstrate AI solutions, lead technical discussions, and assist customers with AI outcomes in pre-sales engagements.

As a Forward Deployed Engineer, you will deploy, optimize, and scale AI inference systems, collaborating directly with customers to enhance performance and solve infrastructure challenges on Kubernetes clusters.

The role involves shaping big data solutions, collaborating with customers and teams, and providing technical leadership in data engineering and AI.

As a Solutions Architect, you will lead technical initiatives, develop data solutions for customers, and collaborate on data engineering and machine learning projects.