AI Architect

Keka Inc.; Hyderabad; On-site; INR 3,500,000 - 7,500,000; Full time

Job summary

AidenAI in Hyderabad, India is seeking an AI Architect to design and deliver enterprise-grade AI solutions that integrate front-end, back-end, and AI components into cohesive, production-ready systems. You will explore MCP, MVC, microservices, and agentic AI patterns, select AI frameworks, and guide data flow, APIs, and security best practices across cloud, on‑prem, and hybrid deployments.

The role emphasizes leadership, collaboration with engineering and product teams, and mentoring engineers

Qualifications

• Proven experience designing end-to-end enterprise AI architectures.
• Experience integrating front-end, back-end, and AI layers.
• Hands-on with LLMs, NLP, and agentic AI frameworks.

Responsibilities

• Lead architecture and design of AI-driven enterprise apps.
• Define scalable AI solution architectures with LLMs and NLP.
• Evaluate AI frameworks and orchestrate integration with ecosystems.
• Mentor teams on architecture standards and AI model integration.

Skills

Enterprise architecture

MCP

MVC

Microservices

LLMs

NLP

Agentic AI

Python

APIs

React

Angular

Java

.NET

Node.js

Cloud platforms

Education

Bachelor's or Master's in CS/Engineering

AI/ML or cloud architecture certs (advantage)

Tools

Autogen

LangChain

MCP

Hugging Face

Azure AI Foundry

AWS Bedrock

Vertex AI

React

Angular

Docker

Kubernetes

Job description

AidenAI is a next-generation AI and digital transformation company that enables enterprises to modernize, automate, and accelerate through intelligent systems. Our platform ecosystem — including AiDAP (AI-driven modernization), HX (Human Experience), TX (Testing), and Industry AI Agents — integrates deep domain knowledge with agentic AI to drive measurable impact across industries like insurance, financial services, and healthcare.

We are looking for an AI Architect who combines strong application architecture expertise with hands‑on experience in AI frameworks, LLMs, and intelligent solution design.

Role Overview

As an AI Architect at AidenAI, you will be responsible for designing, integrating, and delivering enterprise‑grade AI solutions that combine front‑end, back‑end, and AI components into cohesive, production‑ready systems. You will work across architectural frameworks (MCP, MVC, microservices, agentic AI) and drive scalable, modular designs that power AidenAI’s next‑generation products and client solutions.

Key Responsibilities

Lead the end‑to‑end architecture and design of AI‑driven enterprise applications and platforms.

Define and implement scalable AI solution architectures integrating LLMs, NLP, and agentic frameworks with front‑end and back‑end systems.

Evaluate and select appropriate AI frameworks (e.g., Autogen, LangChain, MCP) and orchestrate their integration with existing enterprise ecosystems.

Collaborate with engineering, AI, and product teams to translate business use cases into robust, deployable architectures.

Design and govern data flow, orchestration, and component interaction across AI models, APIs, and services.

Ensure architectural compliance with security, scalability, and performance best practices.

Evaluate and recommend suitable deployment models — including on‑prem, cloud, and hybrid setups.

Mentor development and AI engineering teams on architectural standards, coding practices, and AI model integration.

Stay abreast of evolving AI architecture patterns, frameworks, and hyperscaler innovations.

Required Skills & Experience

Proven experience designing and implementing end‑to‑end enterprise architectures across multiple frameworks (e.g., MCP, MVC, microservices).

Deep understanding of solution integration patterns connecting front‑end, back‑end, and AI layers.

AI Frameworks & Technologies:

Hands‑on experience with Python, LLMs, NLP, Agentic AI, Autogen, MCP, and related ecosystems.

Exposure to custom AI stacks as well as hyperscaler AI platforms (e.g., Hugging Face, Azure AI Foundry, AWS Bedrock, Vertex AI).

Understanding of prompt engineering, model orchestration, and multi‑agent frameworks.

Integration & Delivery:

Strong understanding of APIs, data orchestration, and event‑driven architectures.

Experience integrating AI services with front‑end (React, Angular) and backend (Java, .NET, Node.js) applications.

Cloud & DevOps Knowledge:

Proficiency in cloud-native architectures (AWS, Azure, GCP).

Exposure to CI/CD, containerization (Docker, Kubernetes), and deployment pipelines.

Preferred Attributes

Experience leading AI modernization or agentic automation projects.

Knowledge of vector databases, embeddings, and retrieval frameworks (RAG).

Ability to design and govern AI lifecycle management — from data prep to deployment and monitoring.

Strong technical communication, leadership, and stakeholder management skills.

Education

Bachelor’s or Master’s degree in Computer Science, Engineering, or related field.

Certifications in AI/ML, cloud architecture, or enterprise solution design are an advantage.

Why Join AidenAI

Architect next‑generation AI platforms integrating cognitive intelligence and automation.

Work with cutting‑edge technologies like LLMs, Autogen, and agentic AI frameworks.

Collaborate with global clients and innovation teams across diverse industry verticals.

Be part of a fast‑scaling, AI‑first organization shaping the future of digital transformation.