Technical Product Marketing Manager focused on product marketing strategy for HPE Private Cloud AI. Responsible for technical content execution and collaborative efforts with product management.
About the role
- AI Prototyping Engineer transforming AI concepts into applications at Tokio Marine’s International AI Hub. Collaborating on experimentation, prototyping, and research to drive AI initiatives.
Responsibilities
- Continuously explores and evaluates new AI models, tools, and frameworks (e.g., OpenAI, Anthropic, Google, open-source models) for potential enterprise applications
- Builds small-scale prototypes, demos, and proofs of concept (PoCs) to assess technical feasibility and business value
- Collaborates with senior engineers, data scientists, and business partners to evolve prototypes into structured pilots and production-ready initiatives
- Stays current with advancements in Generative AI, large language models, and related technologies; documents findings and shares insights with internal teams
- Contributes to AI Hub projects by supporting development, integration testing, and data workflows across Group Companies
- Maintains clear and reusable technical documentation for experiments, evaluations, and prototype outcomes
- Supports AI R&D teams in running structured experiments, analyzing outcomes, and reporting on progress
- Ensures all experiments comply with enterprise governance, data security, and risk management standards
- Participates in community-of-practice sessions to share best practices, learnings, and emerging research findings
Requirements
- Bachelor’s degree in Computer Science, Engineering, Data Science, or a related technical field
- 2–4 years of experience in software development, data science, or applied AI research (internships and academic projects considered)
- Familiarity with Python and experience using AI/ML libraries or APIs such as PyTorch, TensorFlow, Hugging Face, LangChain, or OpenAI
- Understanding of Generative AI, large language models (LLMs), retrieval-augmented generation (RAG), and prompt engineering
- Experience working with cloud platforms such as AWS, Azure, or GCP is a plus
- Strong analytical, problem-solving, and debugging skills
- Excellent written and verbal communication skills, with the ability to explain technical findings clearly
- Self-starter with curiosity, adaptability, and a collaborative mindset in a fast-paced, global environment.
Benefits
- Competitive benefits package
- Bonus eligibility on top of base
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