Ai Deployment Manager Jobs

At Gilead, we’re creating a healthier world for all people. For more than 35 years, we’ve tackled diseases such as HIV, viral hepatitis, COVID-19 and cancer – working relentlessly to develop therapies that help improve lives and to ensure access to these therapies across the globe. We continue to fight against the world’s biggest health challenges, and our mission requires collaboration, determination and a relentless drive to make a difference. Every member of Gilead’s team plays a critical role in the discovery and development of life-changing scientific innovations. Our employees are our greatest asset as we work to achieve our bold ambitions, and we’re looking for the next wave of passionate and ambitious people ready to make a direct impact. We believe every employee deserves a great leader. People Leaders are the cornerstone to the employee experience at Gilead and Kite. As a people leader now or in the future, you are the key driver in evolving our culture and creating an environment where every employee feels included, developed and empowered to fulfil their aspirations. Join Gilead and help create possible, together. Job Description At Gilead our pursuit of a healthier world for all people has yielded a cure for hepatitis C, revolutionary improvements in HIV treatment and prevention as well as advancements in therapies for viral and inflammatory diseases and certain cancers. We set and achieve bold ambitions in our fight against the world’s most devastating diseases, united in our commitment to confronting the largest public health challenges of our day and improving the lives of patients for generations to come. As th

NVIDIA pioneers computer graphics, gaming, AI, and accelerated computing. We are looking for a Technical Platform Operations Lead to join our team and play an important role in scaling Sales AI applications and platforms. This position offers the opportunity to shape how these solutions operate after launch and help ensure they remain reliable, secure, well governed, widely adopted, and continuously improved. You will collaborate with Sales, Product, Engineering, Data, Security, and IT teams to strengthen platform health, improve the user experience, and increase business impact. What you’ll be doing: Lead end-to-end post-launch operations for Sales AI applications, including availability, performance, support readiness, releases, upgrades, and lifecycle planning. Develop effective processes for incident response, problem management, changes, and issue resolution. Coordinate timely recovery and lasting improvements. Analyze service-level indicators and objectives, adoption metrics, dashboards, alerts, and user feedback to identify risks, performance degradation, and usage gaps. Collaborate with partner teams to translate operational signals and user needs into prioritized improvements and roadmap inputs. Improve adoption and business value through usage analytics, enablement, feedback loops, and user experience enhancements. Establish governance practices for security, access controls, compliance, documentation, and platform support. Develop automation, observability, and self-service capabilities that simplify operations and reduce repetitive work and recurring incidents. Prepare new AI capabilities and releases for production with runbooks, monitoring, rollback plans, support models, and partner enablement. What we need to see: 8+ years of experience in technical operations, pl

Our team is seeking to extend the internship of our current AI Research Intern for the TAO (Train, Adapt, Optimize) Multi-Modal Model Development project, recognizing their exceptional performance and strong alignment with the team’s research goals. Their innovative ideas and technical contributions have significantly enhanced our work. Given the rapidly evolving field of multi-modal AI, encompassing vision-language modeling, universal segmentation, and large-scale model training, extending this internship will provide further growth opportunities for the intern while strengthening our team’s capacity to develop scalable, high-impact AI solutions. Embark on an exciting journey with NVIDIA, a global leader in AI and accelerated computing. As an AI Research Intern focusing on multi-modal AI and vision-language model development within the TAO framework in Hanoi/HCM City, Vietnam, you will be at the forefront of advancing cutting-edge machine learning research. You’ll collaborate with a talented team of engineers and researchers dedicated to developing state-of-the-art deep learning models for tasks such as image segmentation, cross-modal understanding, and universal representation learning. This internship offers a unique opportunity to contribute to next-generation AI systems with real-world impact across industries—from autonomous vehicles to intelligent content understanding. What you'll be doing: Develop and fine-tune multi-modal AI models using NVIDIA’s TAO Toolkit and deep learning frameworks. Contribute to the design and implementation of vision-language models (VLMs) and universal segmentation systems. Conduct experiments and benchmarking to evaluate model accuracy, robustness, and scalability. Collaborate with cross-functional teams to integrate your research into production-le

About the Team OpenAI’s User Operations team shepherds our customers’ adoption of AI and ensures that our customers' product experience is nothing short of exceptional. We are building the very first post-AGI support team. We resolve complex issues, provide technical guidance, and support customers in maximizing value and adoption from deploying our products. We work closely with Sales, Technical Success, Product, Engineering and others, to deliver the best possible experience to our customers at scale. OpenAI's customers represent a range of diverse backgrounds and maturity, from early-stage startups to established global enterprises. About the Role We’re looking for dedicated, experienced, and deeply curious individuals to help solve some of the most complex challenges faced by our customers while building the future of post-AGI support alongside us. In this role, you’ll work directly with customers through support tickets and live calls, troubleshooting high-impact issues and resolving novel, often ambiguous technical problems in one of the fastest-moving environments in technology. As AI adoption rapidly accelerates, the work you do will directly support mission-critical systems being built on OpenAI’s platform, serving as a critical line of defense for customers operating at massive scale. Beyond resolving technical issues, you’ll help define what world-class support looks like in an AGI-driven future. You’ll partner closely with Engineering, Product, and Operations to improve systems, reduce bugs, and elevate the customer experience, while leveraging automation, agents, and our own AI technology to transform how support operates at scale. Note: each person in this role will be expected to work a standard 5x8 work week, with 1 of the days covering weekend shifts each week (e.g., work weeks covering Tuesday - Saturday or Sunday - Thursday) You’ll be responsible for: Working directly with customers to troubleshoot and resolve their most complex technical issues,

Secure Every Identity, from AI to Human Identity is the key to unlocking the potential of AI. Okta secures AI by building the trusted, neutral infrastructure that enables organizations to safely embrace this new era. This work requires a relentless drive to solve complex challenges with real-world stakes. We are looking for builders and owners who operate with speed and urgency and execute with excellence. This is an opportunity to do career-defining work. We're all in on this mission. If you are too, let's talk. The Team You'll be joining our Okta Customer Acceleration organization, a high-impact team focused on defining and optimizing the self-service journey for our customers across Knowledge, Online Support, and Communities. Our mission is to transform the customer experience by enabling efficient, accurate, and engaging self-service solutions. The Opportunity We're looking for an experienced AI Trainer and Optimization Analyst to take full ownership of our customer support agentic experiences. This is a critical specialist role that offers the chance to directly influence millions of customer interactions annually. You will act as the primary expert on the AI agent's performance, applying a strategic mindset to continuously analyze conversational data and leverage analytics to enhance the bot's ability. You will be responsible for: Implementing prompt engineering best practices. Ensuring the agent provides accurate, efficient, and on-brand support. Managing the bot's tone and ethical guardrails to prevent hallucination and incorrect assumptions. "Thinking bigger" to bring new, strategic ideas for leveraging the agentic experience for maximum customer impact. What you’ll be doing You will be the dedicated owner of the AI agent's conversational experience: Own Conversational Quality & Tone: Act as the primary owner for the AI agent's output, managing the content, tone, and ethical guardrails to ensure responses are accurate, on-brand, and

We are now looking for an AI Developer Technology Engineer Interns. Intelligent machines powered by AI computers that can learn, reason and interact with people are no longer science fiction. Today, a self-driving car can meander through a country road at night and find its way. An AI-powered robot can learn motor skills through trial and error. This is truly an extraordinary time — the era of AI has begun. Image recognition and speech recognition — GPU Deep Learning has provided the foundation for machines to learn, perceive, reason and solve problems. The GPU started out as the engine for simulating human creativity, conjuring up the amazing virtual worlds of video games and Hollywood films. Now, NVIDIA's GPU runs Deep Learning algorithms, simulating human intelligence, and acts as the brain of computers, robots and self-driving cars that can perceive and understand the world. Just as human creativity and intelligence are linked, computer graphics and artificial intelligence come together in our architecture. Two modes of the human brain, two modes of the GPU. This may explain why NVIDIA GPUs are used broadly for Deep Learning, and NVIDIA is increasingly known as “the AI computing company.” Come join a team full of world-class computer scientists to work in its Compute Developer Technology team as an AI Developer Technology Engineer. What you will be doing: Work and develop state of the art techniques in LLM/AIGX/GR, and perform in-depth analysis and optimization to ensure the best possible performance on current- and next-generation GPU architectures You will provide the best AI solutions using GPUs working directly with key customers Collaborate closely with the architecture, research, libraries, tools, and system software teams to influence the design of next-generation architectures, software platforms, and

Staff Software Engineer, AI Platform — Chicago, Israel. Apply via Workday.

Sr Manager, AI Solutions, Medicaid RFP Writing and Content — VA - Work from home. Apply via Workday.

Principal, AI Experience Innovation — Argentina > Buenos Aires. Apply via Workday.

Principal Engineer - Application Security (AI security, Pen Testing, DevSecOps) — NCD-0375 Brooklyn Park, MN 55445. Apply via Workday.

Senior Data Scientist – Generative AI — Nationwide. Apply via Workday.

Senior Agentic AI Engineer (VP) — 2 Locations. Apply via Workday.

Senior Scientist – Physical AI for Surgical Robotics (Cambridge, MA) — Cambridge (US), Massachusetts, United States. Apply via Workday.

Senior Solutions Architect, AI Compute – NPN — 6 Locations. Apply via Workday.

Agentic AI Engineer (AVP) — 2 Locations. Apply via Workday.