AI-Native Product Architect designing, validating, and scaling software and AI-powered solutions, bridging business strategy and engineering execution. The role drives AI-native product development, technical innovation, and digital transformation by delivering secure, scalable, maintainable architectures and accelerating delivery through AI engineering and leadership.

Responsibilities

AI-Native solution architecture: integrate LLMs, agents, RAG, and workflow automation into products.
Architecture planning: define stacks, integration patterns, cloud strategies, and implementation roadmaps.
MVP and validation: lead prototypes and proof-of-concepts to reduce risk and accelerate time-to-market.
AI harness engineering: build reusable prompts, agents, evaluation frameworks, and engineering accelerators.
Technical leadership: ensure scalability, security, maintainability, observability, and cost efficiency.
Architecture governance: establish standards, reference architectures, and reusable assets for consistency.
Emerging technology research: evaluate and recommend AI, cloud, data, and engineering technologies.

Required Qualifications

5+ years software engineering; 3+ years technical lead/architect leadership experience.
Scalable cloud-native distributed systems architecture experience.
Hands-on AWS/Azure/GCP deployment: networking, security, scalability, and cost optimization.
Enterprise MVPs, prototypes, and production-ready solution delivery experience.
Hands-on AI engineering: LLMs, AI agents, workflow automation, or RAG architectures.
Architectural patterns: Clean Architecture, Microservices, Event-Driven, DDD, and CQRS.
Containers, Kubernetes, CI/CD, DevOps, Terraform, and observability practices.

Preferred Qualifications

Ability to translate ambiguous requirements into prototypes and production-ready architectures.
Experience establishing prompt engineering, agent orchestration, AI testing, and model evaluation standards.
Experience driving AI-assisted development workflows using coding assistants and automated testing.