Lead AI/ML Engineer
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In this role you lead a squad of AI/ML engineers to design, deploy, and govern production-grade AI solutions across the Real-Time AI Underwriting platform and related initiatives. You bridge engineering execution with leadership vision, shaping the AI roadmap and ensuring responsible, compliant outcomes. You mentor a high-performance team, drive MLOps maturity, and deliver measurable business impact at scale. Remote work within the U.S. is available.
Compensation / Benefits
- comprehensive benefits package
- equity stock purchase
- 401k contribution
- incentive and recognition programs
- career development opportunities
- remote work flexibility
Responsibilities
- Design, develop, and deploy production-grade AI-powered solutions across ML, Generative AI, and multi-agent frameworks
- Own end-to-end AI/ML technical roadmap and establish engineering standards
- Leverage enterprise AI tools to streamline workflows and improve productivity
- Evaluate emerging AI trends to inform strategic and innovative designs
- Advance MLOps maturity including model versioning, CI/CD for ML, retraining, drift detection, and production monitoring
- Ensure compliance with enterprise policies, Responsible AI principles, and data privacy rules (HIPAA/PHI)
- Lead, mentor, and develop a team of 5–10 AI/ML engineers with goal setting and 1:1s
- Conduct robust architectural, design, and code reviews to uphold security and Pythonic best practices
Key requirements
- 10+ years of software development experience
- 2+ years of hands-on AI/ML project implementation lifecycle
- Hands-on NLP experience (text processing, embeddings, transformers, NER, text classification, or conversational AI)
- Experience with GenAI (RAG pipelines, xhuatnn prompt engineering, LLM integration, fine-tuning like LoRA)
- Knowledge of Agentic AI development (agentic workflows, tool orchestration, multi-agent systems)
- Strong Python production-grade coding and code review discipline
- Driver's license and reliable transportation
- leadership and mentoring
- communication and collaboration across teams
- team governance and high-performance culture
- NLP and transformers
- GenAI and RAG pipelines
- LLM integration and fine-tuning (LoRA)
Remote working/work at home options are available for this role.
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