Tech Lead (Solutions Architect + Applied AI Lead) - Digital Twin & Clinical AI
H
Human IntelligenceHealthcare SaaS
Johannesburg, Gauteng, South Africa. Lagos, Lagos, Nigeria. Ethiopia. Egypt. Bucharest, Bucharest, Romania. Warsaw, Masovian Voivodeship, Poland, working-hour overlap with teams operating across the Americas and European time zonesContractLead
Salary1500 - 2500 USD per month
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Job Details
- Languages
- English
- Experience
- 8–12+ years building cloud products; 3+ as Tech Lead/Architect
- Required Skills
- PythonCloud ComputingTypeScriptFastAPINext.jsLLMLangChain
Requirements
- 4+ years building with Typescript (NextJS and Fastify)
- 4+ years building with Python and FAST API
- 5+ projects utilising 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, Azure Functions
- 8–12+ years building cloud products
- 3+ years as Tech Lead/Architect
- Production experience with LLMs/agents
- Strong systems design fundamentals
- Strong data platforms fundamentals
- Strong API design fundamentals
- Strong security fundamentals
Responsibilities
- Own end-to-end technical direction for the company’s AI-first products (Digital Twin, CLIA, wellness apps), spanning architecture, model lifecycle, data, security, reliability, and team technical excellence.
- Design multi-tenant, API-first, white-label architecture (B2B2C), event-driven integrations, and data mesh/warehouse patterns.
- Manage Azure cloud services (incl. serverless), vector DBs/feature stores, MLOps stack, CI/CD, secrets, IaC.
- Establish SLIs/SLOs, error budgets, alerting, runbooks, postmortems; lead capacity & cost modeling.
- Translate product and clinical use cases into model-enabled features (RAG, agents, multimodal, time-series on wearables).
- Own LLM safety, evals, red-teaming, prompt/model versioning, offline/online A/B tests; define offline metrics ↔ online KPIs.
- Build pipelines for data labeling, weak supervision, retrieval quality, and continuous improvement.
- 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 mgmt, and DLP.
- Lead technical roadmap, spike plans, ADRs, and trade-off decisions; manage tech debt intentionally.
- Mentor engineers; raise code quality (pairing, design reviews, testing strategy) and empower autonomy.
- Partner with Product/Clinical/Sales; run build–buy–partner analyses; manage vendors; support pre-sales.
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