Back
Login to See Your Match Score
Create a free account or log in to unlock your CV match score across:
Tier-1 employer, mid-level AI role, metro context, broad LLM and analytics requirements increase applicant competition.
Core LLM and AI skills are transferable, but finance-specific governance and risk needs increase domain specificity.
Multiple mandatory technical skills, 4+ years requirement, and governance expectations enforce strict screening.
Lead cross-functional teams to identify, strategize, and execute AI initiatives within business lines.
Evaluate technological readiness, data availability, and resources to implement AI solutions delivering intended business benefits.
Drive implementation of AI programs by influencing multiple stakeholders and resolving key issues during development or deployment.
4+ years of Artificial Intelligence experience (via work, training, military, or education).
Hands-on experience with Generative AI or large language models including prompt engineering, RAG, agentic workflows, semantic retrieval, structured outputs, or LLM evaluation.
Proficiency in Python and SQL, including data processing, API integration, testing, debugging, and workflow automation.
Foundational understanding of responsible AI, model/data governance, information security, privacy, quality, testing, and human oversight in enterprise AI.
Experience delivering components of moderately complex AI or data science projects under defined objectives with cross-functional collaboration.
Technical expertise in applying AI/ML frameworks and platforms such as Pandas, Spark, Databricks, cloud AI/ML services, and automation of analytics/model lifecycle.
Ability to translate business problems into technical requirements, prototypes, and implementation recommendations with strong communication and documentation skills.