- Experience
- 18+ yrs
- Salary
- —
- Openings
- 1
- Posted
- 4 weeks ago
- Work mode
- In office
- Education
- Bachelor's degree in Mechanical Engineering, Engineering Technology, or equivalent
- Resume
- Required to apply
Where you'll work
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Job description
About Infosys
Infosys stands as a global leader in next-generation digital services and consulting, empowering over 320,000 employees worldwide to unlock human potential and create new opportunities for individuals, businesses, and communities. Operating in 59 countries, Infosys assists clients in navigating their digital transformations through cloud and AI-powered solutions. With extensive experience spanning more than 40 years, the company expertly manages complex global enterprise operations, focusing on scalable AI-first core technologies, agile digital business capabilities, and continuous advancement through skill and knowledge transfer fostered by its innovation ecosystem. Committed to strong governance, environmental sustainability, and fostering inclusive diverse talent, Infosys maintains a culture certified as a Top Employer across the Asia-Pacific region for six consecutive years.
Position Summary
The role demands a senior Principal Architect specializing in AI who will serve as a trusted technical advisor and visionary for enterprise clients across various industries. The incumbent will lead transformative AI projects from strategy development through design, implementation, and scaling, ensuring alignment with organizational aims. Acting as the lead architect, they bridge strategic business intent with advanced technological execution to develop enterprise-class AI solutions that are scalable, trustworthy, and sustainable. Flexible hybrid work options may be available upon evaluation.
Key Responsibilities
- Collaborate with C-level executives and senior tech leaders to outline AI transformation strategies, roadmaps, and frameworks encouraging responsible and sustainable AI integration.
- Drive ideation and design leadership through design thinking workshops and co-innovation with clients aimed at uncovering impactful AI use cases across business sectors.
- Develop comprehensive AI solutions and architectures reflecting business demands, encompassing model lifecycle management, intelligent autonomous systems, and cloud-native AI platforms.
- Plan and architect AI infrastructure addressing data management, compute resources including GPU/TPU provisioning, observability, and security to balance cost-efficiency with system resilience.
- Lead industry-specific AI solutions across sectors like finance, manufacturing, retail, telecommunications, and public administration by tailoring architectural approaches as per sector needs.
- Implement governance models supporting responsible AI use, risk management, and regulatory compliance.
- Represent the company in advisory councils, forums, and conferences while contributing AI architecture thought leadership publications.
- Mentor and guide architects and engineers in implementing and optimizing AI systems leveraging large language models, multi-agent frameworks, and MLOps pipelines.
Required Skills and Qualifications
- Demonstrated leadership as a Senior Enterprise or Principal Architect or equivalent in AI, cloud computing, or digital transformation roles.
- In-depth expertise across diverse AI domains such as generative AI, autonomous agent architectures, predictive analytics, and intelligent automation.
- Technical proficiency with AI infrastructure components including GPUs, model serving, orchestration tools like Kubernetes and Ray, data pipelines, and monitoring tools such as MLflow.
- Hands-on experience with leading cloud providers (AWS, Azure, Google Cloud) and hybrid models for optimizing AI workloads.
- Knowledge of enterprise AI governance, capacity and financial operations (FinOps) management for scalable AI deployment.
- Excellent communication skills capable of engaging varied audiences from executives to technical teams.
- Consulting exposure across no fewer than three critical industries providing broad sector perspectives.
- Preferred advanced degrees in Computer Science, AI/ML, or related disciplines, alongside executive training in strategy or innovation.
Minimum Qualifications
- Bachelor's degree in Mechanical Engineering, Engineering Technology, or an equivalent combination of education and professional experience demonstrated by notable achievements.
- At least 18 years of technology or solutions architecture experience including a minimum of 3 years in AI-driven transformation projects.
- Proficiency in English communication.
Employee Benefits
- Paid leave benefits conforming to Singapore employment standards.
- Comprehensive health and Life Enrichment programs supporting wellbeing.
- Life insurance coverage with optional additional health insurance plans.
- Access to employer assistance programs.
- Recognition and rewards mechanisms supporting career growth and well-being.
Recruitment Process and Inclusivity
The hiring process is tailored to align candidate and company needs through various stages including screening, interviews, and cultural compatibility checks, ensuring transparency and respect throughout. The company values diversity and inclusion and invites candidates requiring accommodations due to disabilities or medical conditions to request adjustments in recruitment procedures. All hiring activities are coordinated exclusively through the internal talent acquisition department to protect applicants' and company interests.
Equal Opportunity Employer Statement
Infosys is committed to meritocracy and fostering an inclusive workplace, proudly acting as an equal employment opportunity provider.
Minimum education
Bachelor's Degree