Junior Applied AI Engineer- HRIS

Fortinet•Sunnyvale, CA

9h•$105,000 - $140,000

About The Position

We are looking for a Junior Applied AI Engineer- HRIS to join our HRIS team and help build intelligent, data-driven solutions that enhance HR processes and employee experiences. This role will report to the Director of HRIS at Fortinet, and will work at the intersection of artificial intelligence, data engineering, and HR technology, contributing to the development of AI-powered tools such as AI Agents, chatbots, analytics models, and workflow automation systems. This is an excellent opportunity for someone early in their career who is passionate about applying AI in real-world business contexts, particularly in HR systems.

Requirements

Bachelor’s degree in Computer Science, Data Science, Artificial Intelligence, or a related field.
0–2 years of experience in AI/ML, data science, or software engineering
Understanding of what LLMs are and how they work at a high level (tokens, prompts, context window)
Awareness of common issues (hallucinations, bias, context limits)
Understanding of machine learning concepts and algorithms
Proficiency in Python and common AI/ML libraries (e.g., TensorFlow, PyTorch, scikit-learn)
Experience with Database (SQL/ No SQL)
Understanding of REST APIs and basic software development practices
Strong problem-solving and analytical skills
Good communication and teamwork abilities

Nice To Haves

Exposure to Natural Language Processing (NL)P and conversational AI
Experience working with cloud platforms (e.g., OCI, AWS, Azure, or GCP)
Familiarity with SaaS based HR platforms (e.g., Oracle, Workday, etc.)
Experience with visualization tools (e.g., Tableau, Power BI)
Knowledge of version control systems like Git
Experience building chatbots or automation tools

Responsibilities

Assist in designing, developing, and deploying AI/ML models to support HR functions (e.g., recruiting, onboarding, employee engagement, retention).
Collaborate with HR, IT, and data teams to understand business needs and translate them into technical solutions.
Build and maintain data pipelines for HR data (structured and unstructured).
Support development of AI-powered features such as Agents, chatbots, recommendation systems, and predictive analytics.
Document technical processes, models, and workflows.
Demonstrate ability to work with sensitive data while maintaining confidentiality and sound judgment.