Director of Gen AI & Agentic AI Engineering
United States of America
Full Time
1 week ago
$175,000 - $350,000 USD
H1B Sponsor Likely
Key skills
Generative AIAgentic AILarge Language Models (LLMs)Retrieval-Augmented Generation (RAG) pipelinesSemantic chunkingVector searchAzure OpenAIGoogle Cloud Platform (GCP) Vertex AIMultimodal AIPythonTypeScriptREST API developmentContainerizationAI governanceModel safetyPrompt engineeringBytePro LOSAsterisk telephony systemsHMDA complianceTRID complianceRESPA complianceECOA complianceFICO Blaze AdvisorIBM Operational Decision Manager (ODM)Red Hat Decision ManagerKYC workflowsIncome verification workflowsAILLMOpenAIClaudeGeminiRAGAgenticAzureGCPVertex AIREST APICachingLeadershipCommunicationCollaboration
About this role
AmeriSave Mortgage Corporation is a technology-driven mortgage lender committed to transforming the way consumers access financial products. They are seeking a Director of Gen AI & Agentic AI Engineering to lead the design, development, and deployment of enterprise-grade AI applications, guiding the development of intelligent agents and optimizing lending workflows.
Responsibilities:
- Lead Gen AI Development: Architect and deploy Gen AI applications using LLMs and agentic frameworks for mortgage lending use cases
- RAG Pipeline Innovation: Build and optimize Retrieval-Augmented Generation pipelines with hybrid retrieval, semantic chunking, and vector search
- Cloud-Native Integration: Integrate AI solutions with Azure OpenAI, GCP Vertex AI, and other cloud-native services
- Multimodal Intelligence: Work with unstructured data (PDFs, HTML, audio, images) and multimodal models
- LLMOps Leadership: Implement LLMOps practices including prompt versioning, caching, observability, and cost tracking
- Cross-Functional Collaboration: Partner with product managers, data engineers, and UX teams to deliver scalable, user-centric solutions
- Mentorship & Strategy: Mentor engineers, lead technical design reviews, and contribute to long-term AI strategy
- Technology Evaluation: Continuously assess emerging Gen AI technologies (e.g., Gemini, Claude, open-source models) to identify best-in-class solutions for today and tomorrow
Requirements:
- 8+ years in software engineering or data science, with 3+ years in Gen AI or LLM-based systems
- Strong programming skills in TypeScript, Python, or similar languages
- Experience with REST API development, containerization, and cloud platforms (Azure, GCP)
- Deep understanding of AI governance, model safety, and prompt engineering
- Proven ability to lead teams and deliver enterprise-grade AI applications
- Excellent communication, collaboration, and problem-solving skills
- Experience with BytePro LOS and Asterisk telephony systems
- Familiarity with mortgage compliance frameworks such as HMDA, TRID, RESPA, and ECOA
- Experience with rules engines such as FICO Blaze Advisor, IBM Operational Decision Manager (ODM), or Red Hat Decision Manager
- Experience in fintech, lending, or mortgage tech
- Contributions to open-source Gen AI or document AI projects
- Knowledge of compliance workflows (e.g., KYC, income verification)
- Experience with multimodal AI and agentic frameworks