Senior Consultant

optimum solutions (singapore) pte ltd; Singapore; On-site; SGD 200,000 - 320,000; Full time

Job summary

Optimum Solutions (Singapore) Pte Ltd is seeking a senior Cloud AI Platform Architect to lead the design and deployment of resilient AI infrastructure on AWS.

You will translate business requirements into scalable platform designs, guide DevSecOps and MLOps practices, and mentor teams while ensuring security and regulatory compliance.

This role oversees platform operations, Terraform automation, and multi-account strategies to optimize performance and reliability.

Qualifications

• Fifteen to twenty years in Cloud Solutioning with at least five years building AI platforms on cloud infra.
• Hands-on experience building, securing and operating enterprise AI platforms on AWS or on-premises.
• Experience with DevSecOps, MLOps, and/or LLMOps pipelines.
• Strong scripting in Python and Bash for automation with Terraform workflows.
• Deep knowledge of AWS services and security/compliance best practices.

Responsibilities

• Deliver projects within the assigned practice to meet platform availability, reliability and resilience requirements.
• Translate business requirements into platform infrastructure designs.
• Work with service providers to design, deploy and configure secure AI infrastructure.
• Ensure compliance with Enterprise Architecture and Security Standards, including AI policies.
• Act as the point-of-contact for new AI product initiatives, supporting design, integration and testing.
• Manage AI platform operations and address queries from Data Scientists and Product Managers.
• Improve runbooks, SOPs and adhere to compliance mandates.
• Improve AI platform experience by implementing new features and enhancements.
• Automate and build reusable services to simplify development and operations.
• Assist in AI platform design reviews and security standards improvement.
• Onboard hosting environments by designing, setting up and testing infrastructure.
• Manage system architecture, resource planning, and hosting across servers, OS and containers.
• Implement security controls and compliance through Terraform aligned with AWS best practices.
• Create and maintain documentation, coding standards and reusable Terraform modules.
• Provide technical leadership and mentorship on Terraform and infrastructure design patterns.

Skills

Communication

Cloud architecture

AWS

DevSecOps

MLOps

LLMOps

Python

Bash

Terraform

Security compliance

Team leadership

Tools

Terraform

AWS CloudFormation

CloudWatch

Splunk

Elastic

Entra ID

AWS IAM

Job description

Key Responsibilities

• Deliver projects within the assigned practice to meet platform availability, reliability and resilience requirements.
• Translate business requirements into platform infrastructure designs.
• Work with service providers to design, deploy and configure resilient, available and secure AI infrastructure.
• Ensure compliance with the organization’s Enterprise Architecture and Security Standards, as well as IM8 and AI Policies.
• Act as the point-of-contact for new AI product initiatives, supporting system design, integration, acceptance and performance testing.
• Manage AI platform operations and address queries from Data Scientists and Product Managers.
• Improve operational runbooks, SOPs and adhere to enterprise and compliance mandates.
• Continually improve AI platform experience by implementing new features and enhancements.
• Continually simplify product development and operations through automation and building reusable services.
• Assist in AI Platform design review and improvement of AI, OS, container and database security standards.
• Onboard hosting environments by designing, setting up, configuring, implementing, testing and commissioning the required infrastructure.
• Manage system architecture, resource planning, platform performance, and hosting across servers, operating systems, and containers, excluding hypervisor and storage layers.
• Implement comprehensive infrastructure security controls and compliance requirements through Terraform code, following AWS security best practices and regulatory standards.
• Create and maintain detailed documentation, coding standards, and reusable Terraform modules for cloud infrastructure components.
• Provide technical leadership and mentorship on Terraform best practices, code reviews, and infrastructure design patterns.

Requisites

• Strong written and verbal communication skills, with the ability to pitch ideas, influence stakeholders and balance strategic perspective with business needs and challenges.
• At least 15-20 years in Cloud Solutioning out of which 5+ years in building and maintaining AI platforms on Cloud Infrastructure
• Hands‑on experience building, securing and operating enterprise Data Science and AI platforms on AWS or in on‑premises environments.
• Ability to assess project and compliance requirements and develop practical, sustainable solutions.
• Hands‑on experience building and operating DevSecOps, MLOps, and/or LLMOps pipelines.
• Hands‑on experience with AI and container services, LLM inference and Linux preferred.
• Deep expertise in AWS services and architecture, including but not limited to EC2, VPC, IAM, S3, RDS, Lambda, CloudFormation, and AWS Organizations.
• Proven experience implementing AWS Landing Zones and multi‑account strategies using Terraform.
• Strong proficiency in scripting languages, particularly Python and Bash, for automation and integration with Terraform workflows.
• Comprehensive understanding of AWS security services, compliance frameworks, and infrastructure security best practices.
• Experience working with Identity & Access Management services (e.g. Entra ID, AWS Cognito and AWS IAM), and Monitoring & Observability services (e.g. CloudWatch, Splunk and Elastic) are advantageous.
• Knowledge of PostgreSQL, vector databases, object storage, and the processing of structured and unstructured datasets is advantageous.
• Good understanding of AI, application and infrastructure security risks and controls