Forward Deployed Engineer Intern

Singapore Telecommunications Limited; Singapore; On-site; SGD 17,000 - 33,000; Part time

Job summary

Singapore Telecommunications Limited is seeking an AI-focused Forward Deployed Engineer Intern to explore, prototype, and validate AI-native solutions for enterprise use cases in Singapore.

The role spans early innovation, PoC development, testing, and documentation, with mentorship from senior engineers. Strong initiative and an ability to document learnings are essential for success in this internship.

Qualifications

• Pursuing a Bachelor's or Master's degree in a relevant field.
• Hands-on AI/GenAI project experience or coursework.
• Proficient in Python and rapid prototyping.
• Ability to document findings clearly and concisely.
• Willingness to learn under supervision and iterate quickly.

Responsibilities

• Support market sensing and research on AI trends to identify opportunities for experimentation.
• Assist in building PoC AI/GenAI solutions under guidance from engineers.
• Improve prototypes through testing, debugging, and lightweight enhancements.
• Experiment with AI models, tools, prompts, and workflow patterns.
• Help design AI-native workflows for internal demos and pilot use cases.
• Collaborate with Forward Deployed Engineers, AI engineers, architects, and platform teams.
• Apply basic software practices, including modular code and version control, with coaching.
• Prepare demos and share learnings to help teams understand AI benefits.
• Document outcomes and decisions to support reuse, refinement and scaling.

Skills

Python

AI/GenAI

Prototyping

Documentation

Prompt engineering

Team collaboration

Education

Bachelor's or Master's in CS/Engineering/Data Science

Tools

Git

Jupyter Notebooks

Job description

Be part of somethig BIG!

The Forward Deployed Engineer Intern supports Singtel's AI transformation by helping the team explore, prototype, and validate AI-native solutions for enterprise use cases. The role provides hands-on exposure to how AI-first teams sense emerging technologies, translate opportunities into working demonstrations, and prepare promising ideas for further engineering review.

The intern will contribute across the early innovation lifecycle, from market scanning and rapid PoC development to testing, documentation, and demo preparation. Working closely with Forward Deployed Engineers, AI engineers, solution architects, and platform teams, the intern will help turn ambiguous business problems into practical experiments and lightweight workflows.

Designed for a curious AI-native builder, this internship emphasises learning through delivery. The intern is expected to bring strong initiative, a willingness to experiment, and disciplined documentation habits while operating under appropriate supervision for production, security, architectural, and stakeholder decisions

Make an impact by:

• Support market sensing and research on the latest AI, GenAI, agentic AI, and enterprise automation trends to identify opportunities for experimentation.
• Assist in building proof-of-concept (PoC) AI and GenAI solutions that validate ideas, technologies, and business use cases under guidance from engineers and product leads.
• Contribute to improving selected prototypes through testing, debugging, documentation, and lightweight enhancements that support readiness for further engineering review.
• Experiment with AI models, tools, frameworks, prompts, and workflow patterns to compare feasibility, performance, and practical value.
• Help design and develop AI-native workflows, agents, scripts, or lightweight applications for internal demonstrations and pilot use cases.
• Partner with Forward Deployed Engineers, AI engineers, solution architects, and platform teams to understand requirements and support the handover of promising prototypes.
• Apply basic software engineering practices, including modular code, version control, test cases, and clear technical documentation, with coaching from senior team members.
• Act as an AI-first learner and advocate by preparing demos, sharing learnings, and helping teams understand how working AI solutions can improve productivity.
• Document experiment outcomes, technical assumptions, implementation notes, and production considerations to support reuse, refinement, and scaling decisions.

Skills for Success:

• Currently pursuing a Bachelor's or Master's degree in Computer Science, Engineering, Data Science, Mathematics, AI/ML, or a related field.
• Hands-on project, coursework, hackathon, internship, or personal-build experience involving AI, GenAI, automation, data, or software development.
• Basic AI-first and AI-native engineering mindset.
• Working knowledge of Python and rapid prototyping workflows.
• Familiarity with LLMs, prompt engineering, APIs, notebooks, or experimentation workflows.
• Ability to test, debug, document, and improve lightweight AI prototypes.
• Curious, proactive learner with strong ownership of assigned tasks.
• Comfortable operating in ambiguity and iterating quickly based on feedback.
• Ability to communicate technical learnings clearly through demos and documentation.
• Strong collaboration habits when working with engineers, architects, and business stakeholders.
• Awareness of enterprise AI considerations such as security, scalability, maintainability, responsible AI usage, and user adoption.