Back to Job Listings

AI Solution Architect

SpringCube

Full time - Senior Engineer

Cybersecurity

Singapore, All Areas

Published 4 weeks ago

Salary: Disclosed upon interview

Contact Employer
  • Share:
Send Feedback
Report This Job

Job Description

The SpringCube team curated the following job opportunity to help you in your job search. Explore the position below to find your next career move.

Company Overview
A leading technology and engineering organization is seeking an AI Solution Architect to drive the design and implementation of enterprise-scale Agentic AI applications. The company focuses on digital transformation, advanced AI adoption, and innovative technology solutions across multiple business units, enabling scalable, secure, and value-driven AI deployments.

Summary
The AI Solution Architect will lead the design, evaluation, and rollout of cutting-edge Agentic AI applications. This role blends technical depth with business acumen, enabling the architect to identify opportunities, conceptualize solutions, and oversee implementation, whether through in-house development or integration with external platforms.

Key Responsibilities

  • Identify and evaluate opportunities to implement Agentic AI solutions aligned with business strategy
  • Conceptualize and architect AI applications using both in-house and vendor solutions (“make or buy” approach)
  • Ensure scalable, secure, and compliant AI solution designs that integrate seamlessly into enterprise IT and data platforms
  • Define and maintain the blueprint for an Agentic AI ecosystem—including LLMs, RAG, prompt engineering frameworks, MLOps, orchestration tools, and monitoring
  • Collaborate with data engineering and cybersecurity teams to ensure robust infrastructure and governance
  • Build, test, and deploy Agentic AI applications for diverse business use cases
  • Manage solution pilots, proofs-of-concept, and enterprise-wide rollout projects
  • Establish best practices and reusable frameworks for Agentic AI adoption
  • Collaborate with business leaders to translate requirements into AI solutions and present proposals to senior stakeholders
  • Lead cross-functional teams, mentor team members on Agentic AI techniques, and champion an innovative, collaborative culture

Job Requirements

Must-Have:

  • Proven experience architecting and implementing enterprise-scale Agentic AI solutions
  • Strong expertise in Large Language Models (LLMs) and multimodal models
  • Proficiency in prompt engineering strategies and frameworks
  • Knowledge of Retrieval-Augmented Generation (RAG) and MLOps
  • Experience with agentic AI frameworks (LangChain, CrewAI, AutoGen, etc.)
  • Excellent programming skills (Python, Java, or equivalent)
  • Strong solution-selling and communication skills, able to engage technical and business stakeholders
  • Demonstrated leadership in multi-disciplinary teams
  • Proficiency in English (written and spoken)
  • Hands-on exposure to cloud-based AI/ML platforms (AWS, Azure, GCP)
  • Experience in enterprise IT transformation or digital innovation programs
  • Strong problem-solving skills with strategic vision and execution focus

Plus:

  • Knowledge of enterprise data platforms, APIs, and systems integration
  • Experience in Data Science and Machine Learning model development
  • Industry certifications in AI/ML, cloud, or enterprise architecture

Disclaimer
SpringCube curates tech job listings from various company websites to support tech professionals in Singapore.

1. No Endorsement: Job ads on SpringCube do not imply endorsement of their authenticity or quality.
2. No Client Relationship: This company is not a client of SpringCube unless stated.
3. To Apply: Click the “Apply” button to be redirected to the hiring company’s application page for this job.
4. No Liability: SpringCube is not liable for inaccuracies.