Job Description

Job ID: 19818
Location:
ST Engineering Hub, SG
Description:

JOB RESPONSIBILITIES

We are seeking a forward-thinking AI Solution Architect to lead the design, evaluation, and rollout of cutting-edge Agentic AI applications across the enterprise. The role requires both technical depth and business acumen, with the ability to identify opportunities, conceptualize solutions, and drive implementation--whether by building in-house or integrating with best-in-class external platforms.



The ideal candidate will possess a deep understanding of the Agentic AI ecosystem, be comfortable navigating the rapidly evolving world of large language models (LLMs), and demonstrate strong technical, solution-selling, and leadership skills

Key Responsibilities

AI Solution Design & Architecture

+ Identify and evaluate opportunities to implement Agentic AI solutions aligned with business strategy. + Conceptualize and architect AI applications leveraging both in-house development and vendor solutions ("make or buy" approach).
+ Ensure scalable, secure, and compliant AI solution designs that integrate seamlessly into enterprise IT and data platforms.

Agentic AI Ecosystem Ownership

+ Define and maintain the blueprint for an Agentic AI ecosystem--including LLMs, Retrieval-Augmented Generation (RAG), prompt engineering frameworks, MLOps, orchestration tools, and monitoring. + Partner with data engineering, and cybersecurity teams to ensure robust infrastructure and governance.

Implementation & Rollout

+ Build, test, and deploy Agentic AI applications for diverse use cases across ST Engineering business units. + Manage solution pilots, proof-of-concepts, and enterprise-wide rollout projects.
+ Establish the best practices and reusable frameworks for Agentic AI adoption.

Stakeholder Engagement & Solution Selling

+ Collaborate with business leaders to translate business needs into AI solutions. + Present AI solution proposals to senior stakeholders in clear, impactful ways, highlighting value, ROI, and risk considerations.
+ Drive adoption and organizational buy-in through effective communication and change management.

Leadership & Collaboration

+ Work closely with cross-functional teams including IT, Data Science, and business units. + Mentor and guide team members on Agentic AI techniques, frameworks, and best practices.
+ Champion a collaborative, innovative, and learning-oriented 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.
+ Prompt engineering strategies and frameworks.
+ Retrieval-Augmented Generation (RAG).
+ MLOps, model deployment, and lifecycle management.
Strong expertise with agentic AI frameworks (LangChain, CrewAI, AutoGen, etc.). Excellent programming skills (e.g., Python, Java, or equivalent). Strong communication and solution-selling skills--capable of engaging both technical and business stakeholders. Demonstrated ability to lead and work within multi-disciplinary teams. Proficiency in English, both written and spoken. Strong problem-solving skills with a balance of strategic vision and execution focus. Hands-on exposure to cloud-based AI/ML platforms (AWS, Azure, GCP). Prior experience in enterprise IT transformation or digital innovation programs.

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.