AVP, AI Engineering

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Alignment Health

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Healthcare Insurance • Insurance • Healthcare

Alignment Health is dedicated to providing comprehensive care for Medicare members, emphasizing the needs of seniors, the chronically ill, and those who are frail. With a mission to transform senior healthcare, Alignment Health leverages a tailored care model and advanced technology to deliver high-quality, low-cost healthcare services. Their 24/7 concierge care team collaborates with trusted local providers to ensure that every member receives personalized care, reflecting the company's commitment to treating all members as valued family members.

501 - 1000 employees

Founded 2013

⚕️ Healthcare Insurance

💰 $135M Series C on 2020-03

📋 Description

• Partner with Executive leadership to define the enterprise AI roadmap, focusing on scalable GenAI platforms and re-usable AI components • Build and lead an AI Innovation Center focused on enabling AI solutions at an enterprise level. • Translate strategic goals into technical roadmap and build out team’s capabilities to execute effectively against roadmap • Architect and oversee an AI Tools eco-system that enables technically inclined business teams to safely proto-type and self-service the automation of small scale tasks and workflows • Lead the design and architecture of GenAI applications and agents using LLMs, embeddings, vector databases, RAG and orchestration frameworks. • Experiment with latest techniques for achieving accurate model output and agentic behavior while ensuring cost-effective delivery • Build and refine agentic systems that enable more timely, more accurate and more extensive delivery of targeted clinical interventions to elevate the quality of care for members • Ensure rigorous use of statistical methods to assess the performance and accuracy of GenAI agents and applications • Evaluate AI models and products for fairness in output, targeting and actions • Partner with stakeholders to define problem statements, identify data sources, and design effective solutions • Collaborate with Data Science and ML teams as appropriate • Build and maintain robust data pipelines, modeling workflows, and monitoring tools in collaboration with engineering and data platform teams • Recruit and manage a high-performance team of AI Engineers and Data Engineers focused on building and delivering high-value, strategic GenAI capabilities for the organization • Mentor team members; provide technical guidance; foster professional growth; and drive a culture of experimentation and continuous learning. • Fulfill supervisory responsibilities in accordance with organization policies and applicable laws.

🎯 Requirements

• Minimum 10 + years professional work experience as a data scientist, engineer or developing ML/ AI solutions • Extensive experience with LLM architectures, effective prompting techniques, embeddings and vector databases, and agent/model orchestration frameworks • Record of deploying large scale AI /ML projects in production environments • Demonstrated success in hiring great engineering talent and growing junior team members through mentoring, collaboration and coaching • Bachelor’s degree in computer science, Engineering, or a related STEM field • Preferred: Master’s or PhD in Computer Science, Engineering, or a related STEM field • Expert knowledge of GenAI platforms and tools used to build and deploy AI applications and agents • Up-to-date knowledge of best practices for handling data structures and data pipelines • Excellent storytelling skills and the ability to present complex information simply in both small and large group settings to technical/non-technical audiences.