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