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Job description
Responsibilities
About the job
Step into a high-impact leadership role where you will shape enterprise technology strategy and guide large-scale transformation programs across cloud integration, conversational AI platforms, and modernized infrastructure. As a senior architect, you will partner closely with business and engineering leaders to translate complex needs into secure, scalable, and resilient architectures that accelerate delivery and improve customer experiences. You will influence standards, drive architectural governance, and mentor teams to adopt best practices—while keeping innovation practical and outcomes measurable. If you enjoy solving ambiguous problems, aligning diverse stakeholders, and building future-ready platforms that enable collaboration across teams, this role offers the opportunity to lead with vision, depth, and purpose in a culture that values ownership, continuous learning, and shared success.
Key Responsibilities:
• Define end-to-end enterprise architecture across Conversational AI platforms, MuleSoft-based integration, and infrastructure transformation initiatives. • Lead architecture discovery, target-state definition, and roadmap creation for multi-year modernization programs. • Architect and govern Conversational AI platform capabilities including channel integration, orchestration, conversation flows, and enterprise-grade scalability. • Design MuleSoft integration architectures (API-led connectivity) including system, process, and experience APIs aligned to enterprise standards. • Establish integration patterns, reusable assets, and reference architectures to improve delivery speed and consistency. • Drive infrastructure transformation architecture covering compute, storage, network, security, and operational readiness for modern platforms. • Ensure non-functional requirements are met: performance, availability, resiliency, observability, compliance, and cost optimization. • Provide technical leadership across multiple teams; review designs, guide implementation decisions, and resolve complex cross-domain issues. • Collaborate with stakeholders to align architecture with business outcomes, delivery timelines, and risk management plans. • Lead architecture governance through standards, design reviews, and decision records; ensure adherence across programs.
Minimum Qualifications:
• Bachelor of Engineering or equivalent technical degree. • 15–20 years of overall experience in enterprise architecture, solution architecture, or technology leadership roles. • Proven experience architecting and delivering MuleSoft integration solutions in complex enterprise environments. • Strong experience designing and governing Conversational AI platform architectures for enterprise use cases. • Demonstrated expertise in infrastructure transformation initiatives, including modernization planning and operational readiness. • Strong stakeholder management skills with the ability to translate business needs into scalable technical architectures.
Preferred Qualifications:
• Experience defining enterprise standards for API lifecycle management, integration governance, and reusable integration assets. • Hands-on leadership in large-scale platform modernization programs with measurable outcomes in reliability, performance, and cost efficiency. • Experience with conversational AI platform enablement including enterprise integration, security controls, and scalability patterns. • Strong ability to mentor architects and engineering teams, driving consistent architecture practices across portfolios. • Experience leading architecture reviews, risk assessments, and technology decision-making across multiple stakeholders. • Exposure to operating model design for platform teams, including support processes, SLAs, and continuous improvement practices.
Good to have skills:
API governance, Event-driven architecture, Microservices architecture, Observability (logging/metrics/tracing), SRE practices, DevSecOps, Zero Trust security concepts, FinOps, Enterprise architecture frameworks (TOGAF), CI/CD strategy
Description copied from Infosys's careers page. Read the full posting before you apply.
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