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Strong Tier-1 brand, metro location, mid-level generalist AI title, and popular LLM skills drive high competition.
LLM and Python skills transfer broadly, but finance-platform and governance expectations make background fit moderately sensitive.
Explicit 3–5 year requirement plus Databricks, Python, LLM frameworks and enterprise finance platform experience increases shortlisting strictness.
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Design and build AI-enabled solutions, developer tools, and intelligent automation for Finance Technology platforms to improve engineering productivity and business outcomes.
Develop reusable AI capabilities, prompts, and templates to accelerate software delivery within Finance.
Collaborate with Finance, Data Engineering, and Architecture teams to deliver scalable, secure AI solutions that meet governance and audit requirements.
3 to 5 years' experience in AI Engineering, Software Engineering, Data Engineering, or related field.
Hands-on experience building AI/ML solutions on Databricks with strong Python and SQL programming skills.
Experience developing LLM-powered applications including prompt engineering and orchestration frameworks like LangChain or similar.
Proficiency with modern software engineering practices including Git, CI/CD, testing, and code reviews.
Experienced in applying AI engineering within Finance Technology, ideally familiar with Oracle Fusion, Oracle EPM, or comparable enterprise Finance platforms.
Skilled in integrating AI capabilities into developer workflows to enhance productivity and software delivery.
Collaborative operator able to partner with cross-functional teams and ensure compliance with enterprise security and governance standards.