Principal AI Architect

Join to apply for the Principal AI Architect role at Epergne Solutions Continue with Google Continue with Google 2 months ago Be among the first 25 applicants Join to apply for the Principal AI Architect role at Epergne Solutions Get AI-powered advice on this job and more exclusive features. Sign in to access AI-powered advices Continue with Google Continue with Google Continue with Google Continue with Google Continue with Google Continue with Google Continue with Google Continue with Google Continue with Google Continue with Google Continue with Google Continue with Google The Principal AI Architect is a senior-level role responsible for leading the design and implementation of cutting-edge AI solutions and enterprise-wide architecture. This strategic position involves collaborating with global technology leaders and serving as a trusted advisor on AI-driven transformation initiatives. This role requires deep expertise in AI technologies across Edge, on-premises, and Public Cloud environments. It demands a strong grasp of Generative AI and its potential impact at both individual and organizational levels. The ideal candidate will be a recognized thought leader, with a solid foundation in architecture and engineering, and a passion for driving innovation through emerging technologies. Job Title : Principal AI Architect Job Type : Full-time Location Singapore Level : Senior / Leadership Role Summary The Principal AI Architect is a senior-level role responsible for leading the design and implementation of cutting-edge AI solutions and enterprise-wide architecture. This strategic position involves collaborating with global technology leaders and serving as a trusted advisor on AI-driven transformation initiatives. This role requires deep expertise in AI technologies across Edge, on-premises, and Public Cloud environments. It demands a strong grasp of Generative AI and its potential impact at both individual and organizational levels. The ideal candidate will be a recognized thought leader, with a solid foundation in architecture and engineering, and a passion for driving innovation through emerging technologies. Key Responsibilities Technical & Engineering Leadership Design enterprise-grade AI architectures, integrating the latest advancements into scalable, high-performance solutions. Lead architectural discussions, offering strategic guidance for AI adoption across Edge, Data Center, and Cloud environments. Ensure alignment with modern best practices spanning GPU/NPU, cognitive infrastructure, applications, and agent-based systems. Contribute to AI and cloud thought leadership, including open-source technologies (e.g., Kubernetes, OPEA) and vendor platforms. Partner with leading global technology providers (e.g., Google, Microsoft, AWS, NVIDIA, IBM, Red Hat, Intel, Dell) on strategic initiatives. Service Delivery & Innovation Architect AI solutions from concept through MVP, delivering measurable business value. Assess and enhance existing architectures to support AI modernization and efficiency improvements. Champion GenAI adoption and drive innovation across various technical environments. Optimize AI/cloud architecture to meet performance, accuracy, and usability standards. Thought Leadership & Client Engagement Advise clients on incorporating GenAI into their technology landscape with strategic insight and technical clarity. Lead workshops, briefings, and executive sessions to foster understanding and trust. Maintain visibility through thought leadership—whitepapers, blog contributions, and industry speaking engagements. Deliver architectural excellence and help shape long-term AI strategy. Collaboration & Stakeholder Management Engage with multiple clients and stakeholders concurrently, providing high-impact consulting and architecture solutions. Collaborate across internal teams and global partners, ensuring technical synergy and shared knowledge. Maintain hands-on technical credibility while mentoring and inspiring teams. Required Qualifications Bachelor's degree in Computer Science, Engineering, or related field. 10+ years of experience in architecture design, including 7+ years in software engineering roles. Expertise in Public Cloud platforms (AWS, Azure, Google Cloud). Strong coding skills in Python , Java , or Go . In-depth knowledge of machine learning and GenAI models (e.g., GPT, BERT, DALL·E, GEMINI). Familiarity with NLP, Copilot development, and office productivity automation. Agile and Scrum experience. Practical knowledge of LLMOps , AI governance, and Responsible AI. Data engineering proficiency—pipeline creation, preprocessing, feature engineering. Experience in AI model fine-tuning and performance optimization. Skilled in Deep Learning frameworks such as TensorFlow and PyTorch . Certifications Professional certification in AI and/or Cloud from Google , Microsoft , or AWS . Behavioral Competencies Excellent communication and leadership skills, capable of influencing at CxO level. Strong customer orientation and ability to drive change across diverse environments. Passion for innovation, strategic thinking, and fostering a culture of continuous learning. Seniority level Seniority level Mid-Senior level Employment type Employment type Full-time Job function Job function Design, Art/Creative, and Information Technology Industries IT Services and IT Consulting Referrals increase your chances of interviewing at Epergne Solutions by 2x Get notified about new Principal Architect jobs in Singapore . 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