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

10+ years

of experience in software engineering, with 5 + years in architecture leadership roles .

Strong background in

AI / ML systems

and

enterprise software architecture .

Hands-on expertise in :

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

Backend : Node.js, APIs, microservices architecture.

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

Cloud platforms

(AWS, Azure, GCP)

GPU infra for AI / GenAI

(NVIDIA A100 / A6000 clusters, model serving stacks)

Databases

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

APIs, microservices, containerization (Docker, Kubernetes)

Proven ability to

design LoB applications independently .

Experience in

rapid PoC creation → production transition .

Strong business understanding; ability to translate business needs into scalable systems.

Excellent leadership, collaboration, and communication skills.

Nice to Have

Experience with

LLM orchestration tools

(LangChain, LlamaIndex, AutoGen, etc.).

Exposure to

enterprise CRM / ERP / CCaaS solutions .

Prior experience delivering

AI + business applications

in large enterprise environments.

Why Join Us?

Lead architecture for

both AI-driven systems and LoB applications .

Work on

cutting-edge AI adoption

while ensuring strong enterprise system design.

Build and mentor your own team, shaping the future of enterprise transformation.

Own the

full cycle from PoC → enterprise-grade delivery

across multiple domains.