DescriptionWe're seeking a
Director of Gen AI & Agentic AI Engineering to lead the design, development, and deployment of enterprise-grade AI applications. This role is ideal for a senior engineering leader with deep technical expertise, a passion for innovation, and a track record of building production-ready Gen AI systems.
You will guide the development of intelligent agents, RAG pipelines, and multimodal applications, while continuously evaluating emerging technologies to ensure AmeriSave remains at the forefront of AI-driven lending.
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.
Required Skills & Experience:- 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.
Bonus Points:- 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.
High-speed internet required for remote work, Cable or Fiber ONLY with the ability to connect via Ethernet. Minimum speeds: 70/30 Mbps (basic), 200-300/35-70 Mbps (shared), 500-1,000/100+ Mbps (heavy use).
**Please note that the compensation and benefit information that follows is a good faith estimate for this position only and is provided pursuant to applicable state and local laws on pay transparency. It is estimated based on what a successful applicant in the relevant state might be paid. **
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Compensation:
Annual compensation for this position generally ranges from $175,000 - $350,000.
Benefits:
• 401(k)
• Dental insurance
• Disability insurance
• Employee discounts
• Health insurance
• Life insurance
• Paid time off
• 12 paid holidays per year
• Paid training
• Referral program
• Vision insurance
Supplemental pay types:
• Referral bonuses
