Ubique Systems

TRPD-26-06029

Gen AI Architect/Lead

Hiring a GenAI Architect/Lead (3–4 years) in India for a permanent role to design and lead implementation of Generative AI solutions, including LLM-based applications, RAG patterns, prompt engineering, and production-grade deployment/monitoring. The role is expected to provide technical leadership, define architecture, and guide best practices for building and operating GenAI systems.

Position summary

Location
India
Workplace
On-site
Employment
Full Time
Experience
Minimum 3 years and Maximum 4 years
Apply now

Role overview

Why This Role Matters.

Hiring a GenAI Architect/Lead (3–4 years) in India for a permanent role to design and lead implementation of Generative AI solutions, including LLM-based applications, RAG patterns, prompt engineering, and production-grade deployment/monitoring. The role is expected to provide technical leadership, define architecture, and guide best practices for building and operating GenAI systems.

Your Impact

Deliver Enterprise Value

Help organisations solve complex business problems through modern technology, consulting expertise and measurable outcomes.

Collaboration

Work Across Teams

Collaborate with consultants, architects, engineers and client stakeholders throughout the project lifecycle.

Growth

Learn Continuously

Gain exposure to enterprise technologies, certifications, mentoring and real-world project experience.

Career Path

Grow With Ubique

Build a long-term consulting career with opportunities to take on greater responsibility and leadership over time.

Responsibilities

What You'll Be Doing.

Every role at Ubique contributes directly to solving meaningful business challenges for our clients.

Technology stack

Tools & Technologies.

The platforms and technologies you'll use to build modern, enterprise-grade solutions.

01

Generative AI

02

GenAI

03

LLM

04

Large Language Model

05

RAG

06

Retrieval Augmented Generation

07

prompt engineering

08

LangChain

09

LlamaIndex

10

vector database

11

embeddings

12

LLMOps

13

MLOps

14

fine-tuning

15

LoRA

16

SFT

17

agents

18

tool calling

19

evaluation

20

guardrails

Requirements

Skills & Experience.

We value curiosity, collaboration and continuous learning. If you don't meet every requirement but believe you can make an impact, we'd still love to hear from you.

Essential

Required Qualifications

Generative AI / LLM application architecture

Prompt engineering fundamentals

Retrieval-Augmented Generation (RAG) concepts

LLM orchestration frameworks (e.g., LangChain or LlamaIndex)

Vector databases and embeddings concepts

Model/API integration (LLM providers)

Production considerations for GenAI (latency, cost, reliability, monitoring)

Preferred

Nice to Have

Fine-tuning concepts (SFT/LoRA)

LLMOps/MLOps tooling and practices

Cloud deployment experience (AWS/Azure/GCP)

Agentic workflows / tool calling concepts

Evaluation of LLM outputs (quality, hallucinations, safety)

Security/privacy considerations for LLM apps

What you'll gain

More Than Just A Job.

We're committed to helping every team member grow professionally, personally and technically while working on meaningful projects.

Global Exposure

Collaborate with international clients and multicultural teams on enterprise programmes.

Continuous Learning

Expand your expertise through mentoring, certifications and hands-on project experience.

Career Growth

Take ownership, develop leadership skills and grow your consulting career over time.

Flexible Working

Hybrid and remote collaboration designed around trust and delivering exceptional outcomes.

People First

Join a supportive culture where collaboration, respect and long-term relationships come first.

Enterprise Projects

Work on meaningful technology initiatives for leading organisations across industries.

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