LauraMac, LLC

Compensation

Full Description

Job Summary: We're looking for a hands-on AI engineering leader to design, build, and scale our Generative AI and multi-agent ecosystem. As Vice President, AI Engineering, you'll lead strategy and execution - architecting intelligent systems, coding alongside your team, and deploying multi-agent orchestration frameworks that drive real business impact. You'll work across LLMs, vector databases, orchestration platforms (n8n, LangChain, CrewAI), and AWS infrastructure to deliver scalable, production-ready AI systems. If you love building, experimenting, and shipping at the frontier of AI - this is your role. What You'll Do AI Strategy & Leadership • Define and execute the company's Generative AI and multi-agent roadmap, aligned with business goals. • Build and lead a cross-functional AI team. • Establish best practices for orchestration, observability, and governance across distributed AI systems. • Drive a builder culture of experimentation, collaboration, and rapid iteration. AI Architecture & Hands-On Execution • Architect, design, and personally build scalable AI systems and agents on AWS. • Develop multi-agent systems that collaborate, reason, and automate workflows using frameworks like LangChain, CrewAI, AutoGen, or LlamaIndex. • Integrate and orchestrate agent interactions, automate task flows, and manage APIs. • Build retrieval-augmented generation (RAG) pipelines and connect to vector databases. • Implement MLOps best practices - model training, deployment, monitoring, and continuous optimization. • Write and review production-level code, ensuring scalability, reliability, and security. Product & Business Integration • Collaborate with product and business teams to identify high-ROI GenAI opportunities. • Translate complex business problems, especially in the U.S. mortgage space into AI agent-driven solutions. • Build reusable AI orchestration components for automation, insight generation, and decision support. • Advocate for responsible and explainable AI, promoting understanding and adoption across the company. What We're Looking For • 6-8 years of experience in AI/ML, software architecture, or data engineering. • Proven record of building and deploying Generative AI or LLM-based systems in production. • Strong hands-on experience with multi-agent architectures and orchestration tools like n8n, LangChain, CrewAI, or AutoGen. • Solid understanding of RAG pipelines, vector databases, and LLM evaluation. • Deep experience with AWS AI/ML stack. • Strong coding skills in Python, including integration with OpenAI, Anthropic, or Bedrock APIs. • Excellent leadership, communication, and collaboration skills with a bias for action and delivery. • A hands-on builder mindset - you design, code, and ship alongside your team. What Success Looks Like • AI roadmap and team structure established within 90 days. • First multi-agent orchestration system deployed in production within 6-9 months. • Scalable, secure AI infrastructure running reliably on AWS. • Measurable business impact through agent automation, data insights, and workflow optimization. • Strong cross-functional alignment with product, data, and operations. Why Join Us You'll be leading the next wave of Generative AI innovation defining how multi-agent systems and orchestration frameworks transform real-world workflows. If you're a technical leader who loves to build, thrives on experimentation, and believes in the power of AI to reimagine how work gets done - we'd love to talk. Note: Job duties involve the use of discretion and independent judgement. Notice of AI-Assisted Resume Screening This employer may use artificial intelligence and algorithmic tools to review resumes and support initial applicant assessments. While these tools enhance efficiency, they are monitored by our team to promote fair and unbiased decision-making-and we uphold all applicable federal and state anti-discrimination laws (including Title VII and the ADA). Where required by law, we provide this notice in accordance with applicable regulations. If you prefer not to have your application evaluated using AI, you may request an alternative review process in writing by contacting hr.optout@lauramac.com. We will make reasonable efforts to accommodate such requests in accordance with applicable laws. Note, if you submit your application through an automated portal or process, we cannot guarantee AI will not be used as part of the process.