
Solutions Lead
1 day ago
We are seeking a
GenAI Solutions Lead / Architect
to drive our GenAI initiatives across the APAC region. This is an initial
12-month contract
role, with strong potential for extension and possible conversion to a permanent position.
About the role:
This role combines
technical leadership (50%)
with
hands-on product engineering (50%) , demanding strong expertise in full-stack development and Generative AI technologies. The ideal candidate will possess excellent stakeholder management skills and maintain a strong focus on quality, compliance, and scalable solutions.
Key Responsibilities:
Audit vendor GenAI solutions for architecture, code quality, scalability, and security.
Lead design and development aligned with ethical AI standards and best practices.
Conduct architecture reviews across GenAI and full-stack platforms.
Define and implement engineering standards, tools, and frameworks regionally and globally.
Establish GenAI QA processes and share key metrics with stakeholders.
Mentor teams as a GenAI coach, promoting ethical AI and prompt engineering practices.
Support vendor selection to integrate leading GenAI technologies.
Drive end-to-end delivery with a focus on quality, timelines, and risk mitigation.
Continuously explore new AI/ML and full-stack trends to enhance engineering practices.
Key Skills & Requirements
Generative AI Expertise : Experience with LLMs, prompt engineering, LLMOps, and frameworks such as LangChain or LangGraph.
Software Engineering : Strong full-stack development background (JavaScript, TypeScript, or Python).
Architecture & Code Review : Ability to audit and assess vendor solutions for scalability, security, and quality.
Ethical AI Practices : Familiarity with Responsible & Ethical AI design principles.
DevOps & CI/CD : Experience with Git-based workflows, code reviews, and CI/CD pipelines.
Leadership & Coaching : Proven ability to mentor cross-functional teams and advocate best practices.
Stakeholder Management : Skilled in managing cross-regional stakeholders, including Japan market.
Product Delivery : Capable of driving end-to-end solution delivery with risk mitigation.
Cloud & Agile : Exposure to cloud platforms (AWS/Azure) and Agile/Scrum methodologies (certifications are a plus).
Education : Bachelors in CS, IT, or related field; AI/ML coursework or specialization preferred.
Argyll Scott Consulting Pte Ltd
Argyll Scott Asia is acting as an Employment Business in relation to this vacancy.
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