Job Description

Our client is seeking an Applied AI Engineer with 10+ years of experience to design, build, and operationalize generative AI solutions across their Lending business lines. This role offers the opportunity to architect enterprise-grade GenAI workflows, establish LLMOps best practices, and evolve into a platform owner for shared AI standards.

Responsibilities & Qualifications

• Design and evolve reusable GenAI workflows and agentic systems deployed across multiple Lending business units
• Develop enterprise-grade AI-powered document ingestion, data extraction, and content generation capabilities
• Build AI assistants embedded in Lending systems using agentic workflows and orchestration patterns
• Deliver automated workflows for content generation, reporting, and approval processes
• Establish and operationalize LLMOps practices including extraction accuracy monitoring, prompt management, and audit controls
• Design and implement security controls for entitlements, PII handling, and governance within AI systems
• Provide expert technical guidance on GenAI architecture, model selection, and platform orchestration decisions
• Act as hands-on technical expert with a clear advancement path to platform owner for enterprise GenAI standards

Requirements

• 10+ years of software engineering experience with demonstrated expertise in generative AI solutions
• Strong proficiency with LangChain, LLM platforms, and RAG (Retrieval-Augmented Generation) architectures
• Production-level experience with Python or Java and building scalable ML systems
• Hands-on expertise in agentic workflows, vector search, prompt management, and data ingestion pipelines
• Deep understanding of LLMOps practices including model monitoring, logging, and production reliability
• Experience designing and implementing data pipelines and working with large language models in enterprise environments
• Strong grasp of AI security, compliance, and governance requirements for financial services or similarly regulated industries