AI & Enterprise Application Architect

Job Title : AI & Enterprise Application

Architect

About the Role

We are looking for a highly skilled Architect who can lead the design and delivery of both

AI-powered systems (including Agentic AI and GenAI applications) and enterprise Line-of-

Business (LoB) applications. 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 :
• GPU clusters and accelerators for model training / inference.
• 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.
• Balance performance, cost-efficiency, and security for AI and enterprise systems.
• Rapid PoC → Production Delivery
• Work closely with stakeholders to understand business requirements .
• Be proactive and fast in building PoCs to validate ideas.
• Convert PoCs into production-ready deliverables across AI and non-AI domains.
• Team Leadership & Delivery
• Build, mentor, and scale high-performing engineering teams.
• Drive scrums, sprint planning, and agile delivery practices .
• Ensure on-time, quality-driven delivery of all initiatives.
• 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

o   Frontend : React / React Native (for both web and mobile applications).

o   Backend : Node.js, APIs, microservices architecture.

o   Mobile App Architecture : Android / iOS app delivery, integration with enterprise backends.

o   Cloud platforms (AWS, Azure, GCP)

o   GPU infra for AI / GenAI (NVIDIA A100 / A6000 clusters, model serving stacks)

o   Databases (SQL / NoSQL, vector databases like Pinecone / Weaviate / FAISS)

o   APIs, microservices, containerization (Docker, Kubernetes)

Nice to Have

Why Join Us?