Tech Lead (Solutions Architect + Applied AI Lead) - Digital Twin & Clinical AI

We build human-centric precision intelligence systems that power digital twins and clinical AI assistants. Our products run on secure, multi-tenant cloud platforms with sophisticated white-labeling, rigorous privacy practices, and advanced observability. Everything we ship must meet strict reliability, scalability, and safety standards.

• 4+ years building with Typescript (specifically NextJS and Fastify).
• 4+ years building with Python and FAST API.
• 5+ projects utilizing Azure PostgreSQL Managed Database, Qdrant Database, and Cosmos Databases.
• 4+ years building prompt engineered pipelines using LangChain, AI orchestration tools, and AI LLMs including Gemini, Claude, GPTs, and Grok.
• At least 2+ projects involving Azure Container Apps and Azure Functions.
• 8–12+ years building cloud products; 3+ years as Tech Lead/Architect; production experience with LLMs/agents.
• Strong systems design, data platforms, API design, and security fundamentals.

Nice to have:

• Healthcare/wellness, regulated data (HIPAA/GDPR), on-device ML, voice agents, Xano/FlutterFlow ecosystems.

Architecture & Platform:

• Design multi-tenant, API-first, white-label architecture (B2B2C), event-driven integrations, and data mesh/warehouse patterns.
• Manage Azure cloud services (including serverless), vector DBs/feature stores, MLOps stack, CI/CD, secrets, IaC.
• Establish SLIs/SLOs, error budgets, alerting, runbooks, postmortems; lead capacity & cost modeling.

Applied AI/ML:

• Translate product and clinical use cases into model-enabled features (RAG, agents, multimodal, time-series on wearables).
• Own LLM safety, evaluations, red-teaming, prompt/model versioning, offline/online A/B tests; define offline metrics and online KPIs.
• Build pipelines for data labeling, weak supervision, retrieval quality, and continuous improvement.

Data, Privacy & Security:

• Define PII/PHI data handling, consent, lineage, retention, and cross-border controls; implement privacy-by-design.
• Approve integrations with wearables, EHR/LIS, payments; ensure encryption, key management, and DLP.

Delivery & Tech Leadership:

• Lead technical roadmap, spike plans, ADRs, and trade-off decisions; manage technical debt intentionally.
• Mentor engineers; raise code quality (pairing, design reviews, testing strategy) and empower autonomy.

Stakeholders & External:

• Partner with Product, Clinical, and Sales teams; run build–buy–partner analyses; manage vendors; support pre-sales.

This position is reserved for senior engineers capable of architecting secure, scalable applied-AI platforms. Strong technical artifacts and real-world LLM experience are required. The role requires reliable working-hour overlap with teams operating across the Americas and European time zones, with strong English communication skills.