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Tier-1 brand, mid-level role, and broad GenAI-plus-engineering skillset increases applicant competition.
GenAI engineering skills transfer across industries, but finance domain and risk compliance increase sensitivity.
Explicit 5+ years requirement plus technical skills makes filters moderately strict.
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Lead complex, companywide technology initiatives and develop engineering standards and best practices.
Design, develop, test, debug, and review large-scale technology solutions aligning with business and technical objectives.
Influence architectural decisions, mentor teams, collaborate with senior technical experts, and manage stakeholders and projects.
5+ years of software engineering experience (work experience, training, military experience, or education).
Strong skills in Python and SQL mandatory; experience with GenAI technologies is specifically mentioned.
Experience with core software development practices including coding, testing, debugging, and documentation.
Work Experience Required: 5+ years of software engineering.
Proven ability to lead and deliver complex, large scale, and companywide technology projects with broad impact.
Experience evaluating and working with AI frameworks such as Google ADK, AutoGen, LangChain, LlamaIndex, Crew AI is preferred.
Hands-on knowledge of ETL pipeline development, observability/DevOps tools (Splunk, Grafana, CI/CD), cloud technologies (GCP), and reporting tools (Tableau).