Senior AI Engineer Financial Services AI Solutions
About the Role
This is not a traditional software engineering role, nor is it a standard financial analyst position.
This opportunity sits at the intersection of Generative AI, Machine Learning, and Enterprise
Financial Systems.
You will design, build, and deploy AI-powered applications including AI agents, Retrieval
Augmented Generation (RAG) pipelines, natural language interfaces, and intelligent workflow
automation to solve complex business problems for finance and banking organizations.
You'll partner with business stakeholders to translate financial processes into scalable AI
solutions.
Required Qualifications
AI / ML Engineering (Must Have)
Minimum 3+ years of experience building production-grade AI/GenAI applications.
Strong hands-on expertise in:
Python
SQL
LLM orchestration frameworks (LangChain, LlamaIndex, CrewAI, Semantic Kernel,
etc.)
Prompt engineering
Retrieval-Augmented Generation (RAG)
AI Agent development
Vector databases (Pinecone, Weaviate, Milvus, Chroma, FAISS, etc.)
REST APIs and enterprise integrations
Experience deploying AI solutions into production environments
Candidates should have built and supported real-world AI applications beyond proof-ofconcepts or chatbot implementations.
Enterprise Systems & Integration (Must Have)
Experience integrating AI solutions with enterprise applications using APIs, databases,
messaging systems, or middleware.
Experience working with cloud platforms such as:
AWS
Azure
Google Cloud Platform
is preferred.
Financial Services Domain (Preferred)
Experience delivering technology solutions for organizations in one or more of the following
industries is preferred:
Banking
Financial Services
FinTech
Insurance
Capital Markets
Payments
Experience supporting business teams such as:
Corporate Finance
FP&A
Revenue Operations
Accounting
Treasury
Risk & Compliance
is considered a strong plus.
Finance Domain Knowledge (Nice to Have)
Working knowledge of common finance concepts is preferred, including:
Budgeting and Forecasting
Financial Reporting
Variance Analysis
ARR / MRR / NRR
Deferred Revenue
Revenue Recognition
Commission & Incentive Compensation
SaaS Metrics
You are not expected to be a finance professional, but you should be comfortable partnering
with finance stakeholders and translating business requirements into AI-driven solutions.
Preferred Enterprise Platforms
Experience with one or more of the following is a plus:
Workday Adaptive Planning
Anaplan
CaptivateIQ
Oracle ERP / EPM
SAP
NetSuite
Salesforce
Snowflake
