AI Application Architect

About the Role

We are seeking a talented engineer to drive the design, deployment, and continuous improvement of agentic AI applications. You will own the full lifecycle of agent frameworks, including toolchain architecture, prompt engineering, data integration, and observability, ensuring production-grade AI agents.

This role requires a visionary leader who combines deep technical expertise with business understanding, capable of designing end-to-end solutions, recommending the right infrastructure, and building strong engineering teams.

You will be responsible for rapid Proof of Concept (PoC) creation, guiding the transition to

production-grade systems, and ensuring timely, high-quality delivery.

Key Responsibilities

• AI & Agentic System Architecture
• Architect Agentic AI systems, including LLM orchestration, workflows, RAG pipelines, and automation.
• Evaluate and adopt modern AI frameworks, ensuring scalability and performance.
• LoB Application Architecture
• Independently architect enterprise-grade applications aligned with business needs.
• Translate business workflows into scalable, secure, and maintainable technical solutions.
• Infrastructure Strategy (AI + GenAI Focus)
• Assess and recommend infrastructure requirements specific to AI / GenAI applications, including :
• Vector databases, caching, and data pipelines for RAG workloads.
• Scalable storage and high-throughput networking for large model handling.
• Containerization (Docker, Kubernetes) for AI service orchestration.
• Cloud-native AI services (AWS Bedrock, Azure OpenAI, GCP Vertex AI) when suitable.
• Engineering Excellence
• Establish and enforce core engineering practices (CI / CD, testing, code reviews, documentation).
• Collaborate across teams to ensure alignment of technical design with business strategy.

Requirements

Why Join Us?

Key Skills – AI Application Architect