About Infosys:
Infosys is a global leader in next-generation digital services and consulting. Over 320,000 of our people work to amplify human potential and create the next opportunity for people, businesses and communities. We enable clients in 59 countries to navigate their digital transformation. With over four decades of experience in managing the systems and workings of global enterprises, we expertly steer clients, as they navigate their digital transformation powered by cloud and AI. We enable them with an AI-first core, empower the business with agile digital at scale and drive continuous improvement with always-on learning through the transfer of digital skills, expertise, and ideas from our innovation ecosystem. We are deeply committed to being a well-governed, environmentally sustainable organization where diverse talent thrives in an inclusive workplace.

Visit www.infosys.com to see how Infosys (NYSE: INFY) can help you navigate your next.

Infosys has been recognized as a Top Employer across APAC — contributing to our sixth consecutive year of global certification. As an AI‑first organization, we empower our people to work on next‑generation technologies, continuously learn, and create impact at scale—supported by a culture rooted in care, inclusion, and excellence.
▶️Join Infosys and be part of a culture that’s not just promised—it’s certified. #TopEmployer2026 #ThriveAtInfosys

Position Description:
We are seeking a Sr / Principal Architect (AI) to serve as a trusted advisor and technical visionary for our enterprise clients across diverse industries. This individual will lead high-impact AI engagements — from strategy and ideation to architecture, implementation, and scaling — helping clients navigate the full lifecycle of AI adoption.

As the Lead architect, he/she will bridge business vision and deep technology execution, driving enterprise-grade AI solutions that are trustworthy, scalable, and aligned with organizational goals.

Flexible working arrangements (hybrid, reviewed case-by-case basis). Feel free to contact your recruiter to learn more about how this works in practice.
Essential Responsibilities:

· Strategic Advisory: Partner with CxOs and senior technology leaders to define AI transformation roadmaps, enterprise AI strategy, and operating models for responsible and sustainable AI adoption.
· Ideation and Design Leadership: Facilitate design thinking sessions and co-innovation workshops with clients to identify impactful AI opportunities across business domains.
· Architecture and Solution Design: Translate business and data needs into target-state AI architectures — covering model lifecycle, agentic systems design, and cloud-native AI platforms.
· Infrastructure and Capacity Planning: Design AI infra blueprints spanning data, compute, GPU/TPU capacity, observability, and security, ensuring optimal cost-performance balance and resilience.
· Cross-Industry Engagement: Lead solutioning across key verticals such as financial services, manufacturing, retail, telecom, and public sector, tailoring architectures to industry-specific needs.
· Governance and Compliance: Establish frameworks for responsible AI, model risk management, and regulatory compliance.
· Thought Leadership: Represent the firm in client advisory councils, external forums, and conferences; publish thought leadership on enterprise AI architecture and innovation practices.
· Team Mentorship: Guide solution architects and engineers in designing, deploying, and optimizing modern AI systems leveraging LLMs, multi-agent frameworks, and MLOps pipelines.

Required Skills and Experience

· Proven experience as an Enterprise/Principal Architect or equivalent senior advisory role in AI, cloud, or digital transformation.
· Mastery across multiple AI domains: generative AI, agentic systems, predictive analytics, and intelligent automation.
· Strong understanding of AI infrastructure, including GPUs, model serving, orchestration, data pipelines, and observability tooling (e.g., Ray, Kubernetes, MLflow).
· Hands-on knowledge of cloud platforms (AWS, Azure, GCP) and hybrid architectures for AI workload optimization.
· Familiarity with enterprise governance, capacity planning, and FinOps considerations for large-scale AI deployments.
· Excellent communication and storytelling skills to engage both executive and technical stakeholders.
· Cross-industry perspective with consulting or advisory experience across at least three major verticals.
· Advanced degree in Computer Science, AI/ML, or related field preferred; additional executive education in strategy or innovation is a plus

Minimum Qualifications:

• BS degree in Mechanical Engineering, Engineering Technology, or a special combination of education and experience with demonstrated accomplishments.
• 18+ years in technology/solutions architecture, with 3+ years in AI-led transformation roles
• Able to communicate in English.

• Paid leave entitlements
• Health and Life Enrichment (HALE) program covering various well-being offerings
• Life insurance cover
• Optional health insurance cover
• Employer Assistance Program (EAP)
• Rewards and Recognition