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Strong brand, mid-level AI role, and metro location drive high candidate competition.
Core AI engineering skills transfer, but finance platform and Oracle/EPM domain knowledge raises industry specificity.
Explicit 3–5 year requirement and mandatory Databricks, LLM, Python, and prompt-engineering skills create strict filters.
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Design and build AI-enabled solutions and intelligent automation across Finance Technology platforms to improve developer productivity and operational efficiency.
Develop reusable AI capabilities, including prompt engineering and AI-powered developer tools for software delivery acceleration.
Collaborate with Finance, Data, and Engineering teams to deliver scalable, secure AI solutions that align with business priorities and governance requirements.
3 to 5 years of experience in AI Engineering, Software Engineering, Data Engineering, or related fields.
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 using frameworks like LangChain, LangGraph, or LlamaIndex.
Proficiency with modern software engineering practices such as Git, CI/CD, testing, and code reviews.
Experienced in delivering AI/ML solutions within finance-related technology environments, preferably with knowledge of Oracle Fusion or Oracle EPM.
Ability to drive adoption of AI-assisted development practices across cross-functional teams including Finance, Data Engineering, and Architecture.
Comfortable working in a fast-paced, collaborative environment focused on innovation and operational excellence in enterprise financial systems.