TECH LEAD (Solutions Architect + Applied AI Lead) - Contract to Hire

TECH LEAD (Solutions Architect + Applied AI Lead)

Roles & Responsibilities + Job Description

Role purpose. 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.

Core outcomes

Reliable, scalable production platforms (99.9%+ target SLOs) with cost-aware infra & observability.

Measurable AI/ML impact (e.g., model-enabled features that improve wellness outcomes, UX metrics, and conversion).

Responsible-AI guardrails in production (safety, bias, privacy, auditability) and compliant data flows.

Key responsibilities

• Architecture & Platform

Design multi-tenant, API-first, white-label architecture (B2B2C), event-driven integrations, and data mesh/warehouse patterns.

• Managed 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.

Applied AI/ML

• 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.

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 mgmt, and DLP.

Delivery & Tech Leadership

• 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.

Stakeholders & External

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

Minimum experience

4+ years building with Typescript (specifically 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

Minimum qualifications

8–12+ years building cloud products; 3+ as Tech Lead/Architect; production experience with LLMs/agents.

Strong systems design, data platforms, API design, and security fundamentals.

Nice-to-haves

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

KPIs

Availability vs SLOs; time-to-restore; infra $/MAU; model quality lift; latency/p95; roadmap velocity; audit findings = 0 criticals.