GenAI Architect Finance

Benefits:

• 401(k)

GenAI Architect Finance
Onsite Austin, TX
Architect Lead (1 Position)

We are looking for a GenAI Architect with strong finance domain expertise to lead the design and implementation of AI-driven solutions for financial systems and data workflows. This role requires deep expertise in Generative AI, Python development and scalable system architecture, along with the ability to work cross-functionally with finance and engineering teams.

Key Responsibilities:

• Architect and lead development of GenAI solutions for finance-related use cases (reporting, automation, document intelligence, analytics)
• Design and implement LLM-based applications using Python
• Define system architecture including data pipelines, APIs and model integrations
• Work with financial datasets (structured and unstructured)
• Collaborate with finance stakeholders to translate business problems into AI solutions
• Ensure scalability, reliability and security of AI systems
• Provide technical leadership, design reviews and mentorship

Qualifications:

• Strong experience in Python development (5-10 years)
• Hands-on experience in AI / ML / GenAI (2-5 years, applied in real projects)
• Experience designing and implementing LLM-based solutions
• Proven experience in system architecture and technical leadership
• Strong understanding of data pipelines and model integration

Domain Requirement (Mandatory):

• Experience in Finance domain (banking, fintech, accounting, financial analytics, or enterprise finance systems)
• Understanding of financial data, reporting, or compliance workflows

Preferred Qualifications:

• Experience with LLM frameworks (LangChain, LlamaIndex)
• Cloud platforms (AWS / Azure / GCP)
• Vector databases (Pinecone, FAISS, etc.)
• NLP, document processing, or conversational AI systems
• Experience working in large-scale enterprise environments

Required Skills:

• Artificial Intelligence / GenAI (2-5 years)
• Python (5-10 years)
• Finance domain expertise 
• Architecture / system design experience