• Serve as the technical liaison between Nsight and the IVA provider • Manage day-to-day performance against quality and HIPAA compliance standards • Define acceptance criteria and build layered test harnesses for all provider releases • Configure and tune AI phone agents to meet clinical and operational goals • Build and own the alerting layer • Architect AI-driven quality intelligence pipelines • Build PHI-safe audio processing pipelines • Build the tooling the work requires

• Partner with business and technical stakeholders to understand workflows, challenges, and success metrics • Translate ambiguous problems into clear technical solutions, designs, and delivery plans • Design and build AI-powered applications using LLMs, APIs, and enterprise data systems • Develop production-grade backend services using Python and frameworks like FastAPI or Flask • Build and maintain RAG systems, including document ingestion and normalization, chunking, metadata, and embedding strategies, vector, keyword, and hybrid search, reranking and relevance tuning, source attribution and grounding • Integrate AI solutions with SharePoint, Microsoft Graph, SQL databases, internal APIs, and business applications • Design secure systems that respect access control, governance, and enterprise compliance requirements • Build observable, reliable, and maintainable AI workflows in production environments • Establish evaluation frameworks for LLM systems (accuracy, groundedness, latency, completeness, and failure modes) • Iterate rapidly through prototypes, pilots, and production releases based on user feedback • Collaborate with engineering, data, security, and product teams to ensure adoption and long-term sustainability • Make pragmatic technology choices across Azure OpenAI, Azure AI Search, and open-source tools • Document architecture, decisions, trade-offs, and operational requirements.

• Design, build, and optimize ML/DL models for production-scale audio deepfake detection, ensuring robustness across diverse real-world conditions including compression artifacts, noise, telephony, and streaming pipelines. • Partner with clients to develop a deep understanding of their production environments and define model performance criteria. • Investigate failure cases in client environments, build custom evaluation frameworks, and implement mitigation strategies spanning both Engineering and AI. • Design and execute structured experimentation roadmaps aligned with client requirements and proactive system resilience goals. Translate findings into clear and actionable insights. • Monitor, measure, and report on model performance in production using data analytics and AI observability tools (e.g. Datadog, Metabase). Identify degradation trends, data drift, and emerging threat patterns before they impact client outcomes. • Build and maintain dashboards and analytics pipelines that surface model health metrics, enabling data-driven decisions across AI, Engineering, and Product teams. • Collaborate with cross-functional partners — Applied Scientists, Deployment Engineers, and Product teams — to deploy scalable, production-grade models with clear performance benchmarks and monitoring in place.

• Own AI architecture across cloud platforms (AWS Bedrock, Google Vertex AI)—you'll make the calls on what we build and how • Design RAG systems end-to-end, from document ingestion and chunking strategy through retrieval optimization and generation quality • Build agentic systems using modern patterns: MCP (Model Context Protocol), tool-use, function calling, and orchestration frameworks like LangGraph • Define observability and evaluation so we know our AI is actually working in production—not just demo-ing well • Manage cost at scale—model selection tradeoffs, token economics, and budget forecasting as we grow • Establish guardrails and compliance patterns, particularly for healthcare data and HIPAA requirements • Mentor and guide implementation-level developers as the team grows • Ship production systems—this isn't a strategy-only role; you'll write code and deploy real solutions