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Strong Tier-1 brand and metro location but niche agentic-AI skills reduce applicant density.
Highly specialized agentic AI and compliance-focused responsibilities limit cross-industry transferability.
Explicit 8–10 years and many mandatory AI/ML technical requirements increase hiring rigor.
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Lead technical architecture and hands-on implementation of enterprise-grade AI solutions focused on autonomous agents and agentic AI governance.
Drive development of evaluation, observability, and traceability frameworks for AI deployments using advanced agentic architectures such as Google ADK.
Collaborate with product leadership and cross-functional teams to shape AI product strategy, ensure compliance, and innovate core business processes with AI-driven solutions.
8–10 years of professional experience in software engineering with a focus on building and deploying large-scale AI/ML systems.
Expertise in Python and experience architecting complex agentic AI frameworks (e.g., Google ADK, LangChain, AutoGen).
Bachelor's degree in Computer Science or related field; Master's degree is highly preferred.
Strong skills in distributed systems architecture, knowledge storage techniques, Retrieval-Augmented Generation at scale, and AI evaluation platforms like LangFuse.
Experienced individual contributor skilled at pioneering complex AI architectures and frameworks, particularly in autonomous agents and agentic AI.
Strategic partner comfortable working cross-functionally with risk, compliance, product, and business teams to translate AI capabilities into enterprise-grade solutions.
Background in advanced AI architectures, financial services domain preferred, with familiarity in Kubernetes, MLOps, and cloud-native AI infrastructure.