Senior AI Systems Architect & Delivery Lead

techknowledgey pte. ltd.; Singapore; On-site; SGD 150,000 - 200,000; Full time

Job summary

techknowledgey pte. ltd. seeks a Senior Forward Deployed Engineer to own architecture and delivery of large-scale enterprise AI systems. You will lead technical workstreams, set direction for teams, and ensure scalable, secure production platforms on AWS.

You will mentor engineers, collaborate with client stakeholders, and drive best practices in CI/CD, testing, observability, and DevSecOps across engagements.

Qualifications

• 6–10 years of experience delivering production-grade software at scale.
• Strong Python and/or other modern languages with solid system design skills.
• Proven track record owning architecture and end-to-end delivery of complex systems.
• Deep AWS expertise across compute, networking, security and data services.
• Expertise in CI/CD, testing, observability, DevSecOps, and production operations.

Responsibilities

• Own design and delivery of large-scale systems, services, and platform components.
• Lead technical workstreams within engagements and set technical direction for teams/modules.
• Drive architecture reviews, low- and high-level designs, and solution documentation.
• Build and operate production systems on AWS with focus on scalability, security, and reliability.
• Establish engineering standards, CI/CD, testing strategies, observability, and DevSecOps practices.
• Mentor and coach engineers through reviews and technical guidance.
• Partner with architects, delivery leads, and client stakeholders on technical decisions.
• Identify and resolve complex production and performance issues.
• Contribute reusable accelerators and frameworks across delivery teams.
• Champion effective use of AI tools across the engineering team.

Skills

Python

System design

AWS

CI/CD

Observability

DevSecOps

Mentoring

Client engagement

Tools

AWS

Job description

techknowledgey pte. ltd. seeks a Senior Forward Deployed Engineer to own architecture and delivery of large-scale enterprise AI systems. You will lead technical workstreams, set direction for teams, and ensure scalable, secure production platforms on AWS.

You will mentor engineers, collaborate with client stakeholders, and drive best practices in CI/CD, testing, observability, and DevSecOps across engagements.