Senior GenAI Architect - Enterprise Banking

Ontrac Solutions LLC.; San Francisco (CA); Hybrid; USD 200,000 - 320,000; Full time

Job summary

Ontrac Solutions LLC. seeks a Principal GenAI Architect to lead design, delivery, and productionization of enterprise-grade Generative AI solutions in a regulated banking environment.

You will partner with risk, cyber, legal, governance, product, and engineering to translate high-impact financial use cases into scalable, secure AI systems. You will define reusable patterns, influence platform roadmaps, and raise the technical bar for responsible AI adoption across lines of business, ensuring

Qualifications

• 7+ years of software engineering experience with significant depth in AI/ML, data-intensive systems, distributed systems, or enterprise-scale platforms.
• 2+ years of hands-on Python programming experience.
• 2+ years of experience designing and delivering production-scale Generative AI systems in an enterprise environment.
• 2+ years of experience with LLMs, prompt engineering, and RAG architecture.
• 2+ years of experience with vector databases, semantic search, and retrieval systems.
• 2+ years of experience with API-driven, cloud-native architectures.
• 2+ years of experience with distributed systems, performance optimization, scalability, and reliability engineering.

Responsibilities

• Own and define enterprise-grade GenAI architectures for banking and financial services use cases, including RAG pipelines, agentic workflows, prompt orchestration, and multi-model routing strategies.
• Drive production readiness for GenAI solutions, ensuring scalability, resiliency, observability, latency optimization, security, and cost efficiency.
• Lead complex architectural decisions across data ingestion, vector databases, model selection, guardrails, API scalability, performance optimization, and secure integration with banking systems.
• Establish reference architectures, reusable patterns, and best practices to accelerate responsible GenAI adoption across lines of business.
• Partner with central AI platform teams to align solution architecture with enterprise AI services, platform capabilities, banking technology standards, and long-term roadmap priorities.
• Act as a Forward Deployed Principal Engineer, delivering high-impact GenAI use cases from ideation through production.
• Translate banking problems into AI system designs with measurable outcomes.
• Support GenAI use cases across customer service, operations, knowledge management, risk, compliance, fraud, productivity, document intelligence, and workflow automation.
• Troubleshoot and resolve issues across non-production and production environments.
• Partner with application teams to ensure AI solutions integrate into existing platforms, environments, APIs, and control frameworks.
• Influence platform roadmap by feeding real-world banking use-case requirements back into central AI services.
• Ensure all AI solutions align with banking risk, cyber, governance, data protection, privacy, and regulatory expectations.
• Collaborate with risk, cyber, legal, compliance, data governance, or model governance teams to deliver production AI solutions.
• Embed security, privacy, responsible AI, explainability, oversight, and auditability into design by default.
• Help define practical implementation patterns balancing innovation, speed, governance, and enterprise controls.
• Ensure GenAI solutions are designed with appropriate guardrails for sensitive data and regulated processes.

Skills

Python

AI/ML

Distributed systems

RAG architecture

Prompt engineering

Vector databases

Tools

LLMs

Vector databases

API gateways

Job description

Ontrac Solutions LLC. seeks a Principal GenAI Architect to lead design, delivery, and productionization of enterprise-grade Generative AI solutions in a regulated banking environment.

You will partner with risk, cyber, legal, governance, product, and engineering to translate high-impact financial use cases into scalable, secure AI systems. You will define reusable patterns, influence platform roadmaps, and raise the technical bar for responsible AI adoption across lines of business, ensuring