AI Product Architect
Role: AI Product Architect
Lead (AI Product Architect / AI Architect)
Experience: 6–10 years
Location: Remote
Domain: Healthcare AI, Digital Health, Clinical AI Systems
Role Overview
The AI Product Architect Lead is responsible for defining the end-to-end AI vision,
architecture, and delivery strategy across all AI-driven products. This role bridges business
objectives, clinical use cases, and technical execution, ensuring scalable, compliant, and
cost-efficient AI systems.
You will lead the architectural design of LLM-based systems, agentic frameworks, and ML
platforms, while guiding AI/ML engineers and collaborating closely with Product, DevOps,
UX, and clinical stakeholders.
Key Responsibilities
AI Strategy & Architecture
● Define and own the AI product roadmap aligned with business goals and client needs.
● Translate healthcare and clinical requirements into scalable, secure AI system designs.
● Design modular, multi-tenant AI architectures compliant with GDPR, HIPAA, NHS
DSPT.
● Establish prompt architectures ensuring consistent, reliable, and controllable AI
outputs.
● Define intelligence boundaries (non-agentic → agentic systems).
● Prepare systems for agent orchestration and multi-agent workflows.
LLM & Advanced AI Systems
● Architect LLM-powered systems using OpenAI, Anthropic, and similar APIs. ●
Control and mitigate hallucinations using prompt strategies, guardrails, and evaluation
frameworks.
● Drive R&D initiatives in:
○ Large Language Models (LLMs)
○ Multi-agent systems
○ Federated learning
○ Retrieval-Augmented Generation (RAG)
Leadership & Collaboration
● Lead and mentor AI/ML and data science teams, defining best practices.
● Oversee model lifecycle management (design → training → deployment →
monitoring).
● Coordinate with DevOps, Product Managers, Backend, Frontend, and UX teams.
● Ensure ethical, explainable, and legally compliant AI usage across products.
Cost, Performance & Governance
● Design cost-aware AI architectures optimizing inference, token usage, and
infrastructure.
● Ensure high availability, reliability, and performance in production.
● Establish governance frameworks for AI safety, bias mitigation, and
auditability.
Objectives / KPIs
● Deliver a functional, scalable AI architecture supporting all products within
6–12 months.
● Reduce model deployment time by 30–50%.
● Achieve >95% uptime and high inference reliability.
● Ensure full compliance with ethical, legal, and regulatory AI standards.
● Upskill engineering teams to meet performance and product delivery goals.
Required Skills & Experience
● 6–10 years experience in AI systems, ML architecture, or AI product leadership
● Strong expertise in LLM prompt engineering and AI system design.
● Hands-on experience with OpenAI, Anthropic, or similar LLM APIs.
● Deep understanding of agentic vs non-agentic AI systems.
● Experience designing secure, compliant healthcare AI solutions. ●
Knowledge of MLOps, cloud platforms, and distributed AI systems.
● Strong leadership, communication, and cross-functional collaboration skills.
Alignment Summary
AI Product Architect Lead: Owns vision, architecture, compliance, cost, and
leadership — success measured by scalable, compliant AI platforms delivered
within 6–12 months.