Principal Architect, Financial Services
IT Cloud Computing, Software & SaaS
Singapore, All Areas
Published 3 days ago
Salary: SGD10,000 - SGD15,000
- Global Companies
- Presales Engineer & Solutions Architect
Full time - Manager
Banking & Financial Services
United States, Boston - Massachusetts
Published 2 weeks ago
Salary: USD10,000 - USD12,000
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SendThe 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
This global management consulting firm combines deep expertise in technology, AI, and software engineering to deliver transformative solutions for clients across industries. With a presence in over 65 countries and a workforce representing more than 100 nationalities, the firm fosters a high-performance, collaborative, and innovative environment where learning, mentorship, and global exposure are core to professional growth.
Job Title: Principal AI Solution Architect
Job Description
Your Impact
As a Principal AI Solution Architect, you will leverage expertise in full-stack engineering and advanced AI systems to deliver scalable, production-grade solutions. You will design and integrate data pipelines, machine learning models, and modern application layers into client ecosystems to solve complex business challenges. Acting as a bridge between technical and business teams, you will lead technical builds, scope ambiguous problems, advise on strategy and ROI, and ensure alignment across stakeholders. You will serve as a trusted advisor to senior executives, translating business needs into actionable technical roadmaps and guiding solution adoption and scaling. Additionally, you will mentor clients, build capabilities, and convert emerging ideas into actionable delivery plans.
Your Growth
You will thrive in a high-performance, high-reward culture that values resilience, curiosity, and determination. The firm provides mentorship, structured learning programs, and opportunities for accelerated leadership development. Colleagues at all levels support growth through coaching, apprenticeship, and exposure to complex, high-impact projects.
Qualifications
• Bachelor’s or master’s degree in computer science, engineering, or related technical field
• 10+ years of experience in software engineering or solution architecture with proven success in building and operating complex systems
• Deep expertise in full-stack development, data engineering, AI/ML systems, and deployment architectures
• Proven experience designing, implementing, and optimizing AI solutions, including data pipelines, model training/serving, and production MLOps
• Proficiency in cloud platforms (AWS, Azure, GCP) and containerization, orchestration, serverless technologies
• Strong understanding of deployment pipelines, observability, performance optimization, and security best practices
• Experience in dynamic, fast-paced environments with a focus on mentoring and capability building
• Excellent communication skills to simplify complex technical concepts and align diverse stakeholders
Disclaimer
SpringCube curates tech job listings from various company websites to support tech professionals in Singapore.
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