Senior Software Engineer (MCP)

Singtel; Singapore; On-site; Confidential; Full time

Job summary

Singtel is seeking a Senior Software Engineer to lead AI and automation initiatives, guiding solution architecture and development across internal and offshore teams. You will ensure production-ready AI systems, scalable designs, and alignment with enterprise standards.

You will collaborate with product owners, cybersecurity, data, and operations to deliver value while driving engineering excellence and governance across vendors and teams.

Qualifications

• Bachelor’s Degree in Computer Science or Computer Engineering is required.
• 6+ years of experience as a software developer or similar.
• 2-4 years AI/ML development and experience leading complex systems.
• Experience managing vendors or offshore teams is preferred.
• Experience integrating AI/ML solutions into production systems.
• Strong ability to evaluate feasibility, risk, and operational impact of AI solutions.
• Significant experience with prompt engineering and prompt design for LLMs and GenAI.

Responsibilities

• Own end-to-end technical solution design and architecture decisions for AI and automation initiatives.
• Establish engineering standards, design principles, and best practices across AI platforms and backend systems.
• Review and approve detailed technical designs and deployment approaches from vendors or offshore teams.
• Evaluate emerging AI tools and architectures for business value and readiness.
• Mentor junior and mid-level engineers and provide technical guidance.
• Provide governance and oversight for vendors and offshore delivery teams.
• Guide task decomposition, estimation, and prioritisation for offshore delivery.
• Serve as technical escalation point for delivery issues and architectural deviations.

Skills

Python

Node.js

Go

Java

System design

API architecture

Distributed systems

Leadership

Stakeholder management

Prompt engineering

Education

Bachelor’s Degree in Computer Science or Computer Engineering

Tools

AWS

GCP

Azure

Container platforms

Deployment pipelines

Observability tools

Job description

Singtel is transforming into an AI-driven digital technology enterprise, delivering scalable, secure, and intelligent solutions across customer, network, and enterprise domains. As part of this transformation, Singtel is strengthening its internal engineering leadership to design and govern enterprise-grade AI platforms and automation capabilities.

We are seeking a Senior Software Engineer to provide technical leadership across for new initatives. This role plays a critical part in shaping solution architecture, guiding delivery standards, and managing vendor and offshore engineering teams to ensure consistent, high-quality outcomes.

Make an Impact by:

AI and MCP agents

• Design and Develop the MCP agents, tools and architect the MCP governance to be consumed by business flows
• Design and govern Retrieval-Augmented Generation (RAG) architectures, including data ingestion, indexing, retrieval pipelines, and response orchestration.
• Provide technical direction for development of MCP tools and AI-enabled services delivered by internal, vendor, and offshore teams.
• Ensure AI solutions are production-ready, scalable, observable, and aligned with Singtel’s enterprise architecture standards.

Technical Leadership & Architecture

• Own end-to-end technical solution design and architecture decisions for AI and automation initiatives.
• Establish engineering standards, design principles, and best practices across AI platforms and backend systems.
• Review and approve detailed technical designs, code structure, and deployment approaches produced by vendors or offshore teams.
• Evaluate emerging AI tools, platforms, and technologies, recommending adoption where there is clear business value and operational readiness.
• Identify and manage technical risks, dependencies, and architectural trade-offs. Mentor junior and mid-level engineers, providing technical guidance and reviewing critical designs.
• Provide technical governance and oversight for vendors and offshore delivery teams, ensuring adherence to Singtel’s architecture, security, and quality standards.
• Review vendor deliverables, validate designs, and ensure compliance with functional and non-functional requirements.
• Guide task decomposition, estimation, and prioritisation to support effective offshore delivery.
• Act as the technical escalation point for delivery issues, architectural deviations, or quality concerns involving external partners.
• Support capability uplift of vendor and offshore teams through technical guidance, standards, and knowledge transfer.

Collaboration & Stakeholder Management

• Work closely with product owners, enterprise architects, cybersecurity, data, and operations teams to align AI solutions with business objectives.
• Communicate technical decisions, risks, and progress clearly to internal stakeholders and leadership.
• Facilitate alignment across multiple delivery teams operating across time zones.

Operations, Security & Governance

• Ensure AI systems comply with Singtel’s cybersecurity, data governance, and regulatory requirements.
• Guide operational readiness, monitoring, and support models for AI-enabled platforms.
• Lead root-cause analysis and remediation for complex production issues affecting AI services.

Skills for Success:

• Bachelor’s Degree in Computer Science or Computer Engineering
• At least 6 years of experience as software developer.
• 2-4 years AI/ML development; Experience leading complex system design and architecture
• Experience managing vendors or offshore teams
• Experience designing and integrating AI/ML solutions into production systems;
• Ability to evaluate feasibility, risk, and operational impact of AI solutions
• Significant experience in prompt engineering and prompt design for LLMs and GenAI applications.
• Expert-level proficiency in Python/Node.js/Go/Java;
• Strong system design, API architecture, and distributed systems expertise;
• Ability to conduct technical design and code reviews Strong experience with AWS/GCP/Azure;
• Proficiency with container platforms and deployment pipelines;
• Operational readiness and observability experience Strong understanding of secure coding, API security, identity/access management, and data governance
• Strong leadership, communication, and stakeholder management skills;
• Ability to influence vendors and offshore teams;
• Strong decision-making and problem-solving