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Urgent! Agentic AI Intern Job Opening In Santa Clara – Now Hiring Hitachi Rail
Description
:Generative & Agentic AI Systems Internship, Spring 2026
Company: Hitachi America, Ltd.
Division: Research & Development (R&D) | Industrial AI Lab
Location: Santa Clara, CA
Status: Intern
Duration: 3+ months (January – March 2026; eligible for extension)
About Hitachi, Ltd.
Through its Social Innovation Business (SIB) that brings together IT, OT (Operational Technology) and products, Hitachi contributes to a harmonized society where the environment, wellbeing, and economic growth are in balance.
Hitachi operates globally in four sectors – Digital Systems & Services, Energy, Mobility, and Connective Industries – and the Strategic SIB Business Unit for new growth businesses.
With Lumada at its core, Hitachi generates value from integrating data, technology and domain knowledge to solve customer and social challenges.
Revenues for FY2024 (ended March 31, 2025) totaled 9,783.3 billion yen, with 618 consolidated subsidiaries and approximately 280,000 employees worldwide.
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Summary
Hitachi America, Ltd.
() has openings for Interns in the Industrial AI lab located in Silicon Valley.
The mission of this team is to help create new and innovative solutions that utilize artificial intelligence and advanced analytics of the Industrial Internet of Things (IIoT).
The IT innovation team focuses on research, technology innovation, proof-of-concept activities, technical marketing and business development for novel AI solutions, leveraging Hitachi’s technologies, reinforcing Hitachi’s messaging around big data, and establishing Hitachi as a leader in Industrial AI.
Role Overview
We are seeking a highly motivated intern with a strong foundation in AI and systems engineering to contribute to the development of a next-generation Generative and Agentic AI systems.
This role sits at the intersection of artificial intelligence, autonomous agents, robotics, and multi-modal intelligence.
You'll work closely with cross-functional teams to prototype intelligent systems that interact with the physical world.
Responsibilities
Collaborate with research scientist scientists, ML engineers, and product teams to define and develop AI agents for real-world tasks involving physical systems (e.g., drones, mobile robots) and digital environments.
Build system components that integrate with REST APIs and robot middleware (e.g., ROS), supporting real-time interaction between agents and the physical world.
Develop tools to support the prompt engineering lifecycle, including prompt libraries, scoring metrics, and agent orchestration frameworks.
Design, test, and refine high-performance prompts and instructions for instruction fine-tuning pipelines.
Lead or support the full data lifecycle for instruction fine-tuning, including identifying task objectives, collecting and curating datasets, generating synthetic data when needed, and evaluating fine-tuned models for performance and safety.
Support multi-modal model development and deployment, focusing on integration with sensor data, vision models, and action plans.
Contribute to discussions on AI safety, bias, and ethical considerations in autonomous and generative systems.
Maintain technical documentation and provide internal training/support on best practices.
Qualifications
PhD candidate in Computer Science, Robotics, AI, Machine Learning, or a related field.
Strong understanding of deep learning theory, including transformer-based architectures and fine-tuning methods.
Familiarity with the instruction fine-tuning lifecycle: data collection, dataset curation, model training, and evaluation.
Conceptual knowledge of agentic AI, including task planning, memory, and autonomous reasoning (LangChain, OpenAgents, AutoGPT, CrewAI, etc.).
Experience with Python, Jupyter Notebooks, REST APIs, and collaborative tools like GitHub and Markdown.
Exposure to multi-modal AI (e.g., language-vision models, audio-text systems) and sensor data integration.
Practical experience with robotics frameworks (e.g., ROS, PX4), simulation tools (e.g., Gazebo, Isaac Sim), or embedded systems is a strong plus.
Understanding of reinforcement learning (RL), including policy learning and environment-agent interaction, is a bonus.
Nice-to-haves
Contributions to open-source agentic or generative AI projects
Publications or technical blog posts in AI or robotics domains
Familiarity with NVIDIA, Hugging Face, and Azure ML model deployment pipelines
Benefits
Opportunity to work on cutting-edge Generative AI technology and contribute to the development of innovative solutions.
Exposure to a diverse range of Generative AI use cases and the chance to learn from industry experts.
Competitive compensation and the potential for career growth within a dynamic and fast-paced environment.
Collaborative and supportive team culture that encourages continuous learning and professional development.
If you are passionate about Generative AI, have a strong background in research and engineering, and are eager to join a team that is pushing the boundaries of what's possible with AI, we encourage you to apply for this exciting role.
Our Values
We are proud to say we are an equal opportunity employer and welcome all applicants for employment without attention to any factor that doesn’t impact your ability to do the job, including race, color, religion, sex, sexual orientation, gender identity, national origin, veteran or disability status.
We are proud of Japanese heritage, with our values expressed through the Hitachi Spirit:
Wa – Harmony, Trust, Respect
Makoto – Sincerity, Fairness, Honesty, Integrity
Kaitakusha-Seishin – Pioneering Spirit, Challenge
For California only (as required by California’s Pay Transparency for Pay Equity Act (): The expected hourly rate for this position in our California office is $45 per hour.
Pay is determined based on a variety of factors including, but not limited to, depth of experience in the practice area.
Employees are eligible to participate in Hitachi America’s variable pay program, subject to the program’s conditions and restrictions.
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Unlock Your Agentic AI Potential: Insight & Career Growth Guide
Real-time Agentic AI Jobs Trends in Santa Clara, United States (Graphical Representation)
Explore profound insights with Expertini's real-time, in-depth analysis, showcased through the graph below. This graph displays the job market trends for Agentic AI in Santa Clara, United States using a bar chart to represent the number of jobs available and a trend line to illustrate the trend over time. Specifically, the graph shows 22019 jobs in United States and 380 jobs in Santa Clara. This comprehensive analysis highlights market share and opportunities for professionals in Agentic AI roles. These dynamic trends provide a better understanding of the job market landscape in these regions.
Great news! Hitachi Rail is currently hiring and seeking a Agentic AI Intern to join their team. Feel free to download the job details.
Wait no longer! Are you also interested in exploring similar jobs? Search now: Agentic AI Intern Jobs Santa Clara.
An organization's rules and standards set how people should be treated in the office and how different situations should be handled. The work culture at Hitachi Rail adheres to the cultural norms as outlined by Expertini.
The fundamental ethical values are:The average salary range for a Agentic AI Intern Jobs United States varies, but the pay scale is rated "Standard" in Santa Clara. Salary levels may vary depending on your industry, experience, and skills. It's essential to research and negotiate effectively. We advise reading the full job specification before proceeding with the application to understand the salary package.
Key qualifications for Agentic AI Intern typically include Computer Occupations and a list of qualifications and expertise as mentioned in the job specification. Be sure to check the specific job listing for detailed requirements and qualifications.
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Here are some tips to help you prepare for and ace your job interview:
Before the Interview:To prepare for your Agentic AI Intern interview at Hitachi Rail, research the company, understand the job requirements, and practice common interview questions.
Highlight your leadership skills, achievements, and strategic thinking abilities. Be prepared to discuss your experience with HR, including your approach to meeting targets as a team player. Additionally, review the Hitachi Rail's products or services and be prepared to discuss how you can contribute to their success.
By following these tips, you can increase your chances of making a positive impression and landing the job!
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