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Strong employer brand plus metro location, but niche Pega+ML specialization limits applicant pool.
Role requires Pega platform, enterprise integration and AI architecture expertise, making cross-industry transferability low.
Explicit multi-year experience bands, Pega specialization, architecture leadership, and certifications make filtering stringent.
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Design and govern scalable, secure, cloud-native AI platforms and enterprise AI/ML solutions, including architecture from data ingestion to model inference and integration.
Architect AI-enabled business process automation solutions using Pega Platform, integrating AI/ML services, Generative AI models, and cloud-native platforms.
Define technical strategy, best practices, MLOps lifecycle, and lead architecture reviews and technical mentorship across teams.
8–12+ years in IT with 3–5+ years in Solution Architecture or Technical Leadership roles.
5+ years hands-on experience with Pega Platform, including enterprise architecture and solution design.
Strong experience with AI/ML implementations and integration of Pega with AI services, LLMs, Generative AI, REST APIs, and cloud platforms (AWS, Azure, or GCP).
Role based in Bangalore with potential travel; Pega Lead System Architect (LSA) certification highly preferred.
Experienced architect with deep expertise in AI/ML technologies, Pega platform capabilities, and modern architectural styles (microservices, event-driven, domain-driven design).
Skilled in enterprise integration patterns (API Gateways, Event Streaming, Message Brokers, iPaaS) and cloud-native platforms, including Kubernetes and infrastructure as code.
Able to translate complex business needs into scalable AI and Pega solution designs and lead cross-functional teams with strong stakeholder management.