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Tier-1 brand and metro hybrid, but senior niche GenAI role limits generalist competition.
Core GenAI and cloud engineering skills are transferable across industries, though financial compliance experience is preferred.
Explicit 10+ years plus 4+ GenAI years and specific GenAI/cloud tech requirements.
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Develop and own the delivery lifecycle of Agentic AI applications using Python and cloud technologies (AWS, Databricks).
Design and implement AI/ML solutions focused on AML transaction monitoring and compliance programs.
Collaborate effectively with global technical and business teams in an agile, multi-location environment.
10+ years overall experience with at least 4 years as GenAI / Agentic AI Engineer using cloud technologies.
Strong proficiency in Python and Agentic AI/GenAI libraries (e.g., LangChain, Pydantic).
Experience with AWS services (S3, EC2, API Gateway, Bedrock, Lambda) and Databricks integration.
Bachelor’s degree in Computer Science, Information Systems, or equivalent.
Experienced in building scalable, secure production-grade GenAI/Agentic AI applications and AI pipelines.
Comfortable working independently with minimal direction and mentoring others, demonstrating ownership of the full development lifecycle.
Skilled at evaluating and modernizing existing application infrastructure in a regulated, compliance-driven environment.