Back
Tier-1 brand and metro location increase applicants, but niche Agentic AI skills narrow competition.
Strong GenAI, cloud, and Databricks skills are transferable, but AML/compliance domain experience increases sensitivity.
Explicit 10+ years and 4+ GenAI years plus required cloud and LLM skills increase screening rigidity.
Login to See Your Match Score
Create a free account or log in to unlock your CV match score across:
Develop and deliver Agentic AI applications using Python and cloud technologies including AWS and Databricks for AML transaction monitoring and compliance programs.
Own end-to-end delivery lifecycle from development through production rollout ensuring secure, scalable, and cost-effective AI solutions.
Collaborate in a multi-location agile environment, integrate AI pipelines with data platforms, and adhere to application development and security standards.
Bachelor’s degree in Computer Science, Information Systems, or equivalent education and work experience.
Approximately 10+ years overall experience, including 4+ years as a GenAI / Agentic AI Engineer using cloud technologies.
Strong hands-on expertise in Python, GenAI/Agentic AI libraries (LangChain, LangGraph, Pydantic, Strands, CrewAI), AWS services (Bedrock, EC2, S3, Lambda), and familiarity with Databricks.
Experience working in agile, multi-location teams and delivering large-scale, multi-tenant AI applications.
Proven ability to work independently with minimal direction while mentoring team members when required.
Demonstrated expertise in designing and building secure, production-grade GenAI and Agentic AI applications using large language models and advanced AI architectures.
Experienced in modernizing application infrastructure and optimizing AI solutions for cost and performance within cloud environments, particularly AWS and Databricks.