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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.
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