AI Native Product Architect

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.