Role Overview

We are looking for AI Architects to define and drive the enterprise AI architecture strategy across GenAI, ML, and Agentic systems. This role focuses on long-term technical direction, platform design, and governance, ensuring scalability, cost efficiency, and reusability across AI initiatives.
Key Responsibilities

A. Architecture & Strategy

Define enterprise-wide AI architecture frameworks and standards

Design scalable systems across

GenAI (LLMs, RAG, agents)

Predictive ML systems

Data & AI platforms

Evaluate and onboard tools, frameworks, and vendors

Create reusable reference architectures and accelerators

B. Platform & System Design

Architect

Multi-agent systems

AI orchestration layers (LangGraph / similar)

Data pipelines + vector DB ecosystems

Define multi-cloud AI architecture strategy (Azure/AWS/GCP)

C. Governance & Best Practices

Establish standards for

Model lifecycle (MLOps / LLMOps)

Security, compliance, and responsible AI

Drive cost optimization strategies for LLM usage

D. Innovation & Research

Continuously evaluate





Current GenAI models

Agent frameworks

Emerging AI patterns

Guide teams on “build vs buy vs partner” decisions

E.

Stakeholder

Influence

Work with CXOs and business leaders to align AI strategy with ROI

Support large proposals, solutioning, and enterprise transformations
Required

Skills

Technical

Solid expertise in

LLMs, RAG, embeddings, vector DBs

ML systems (NLP, forecasting, optimization)

Experience with

Distributed systems & microservices

Data platforms (Databricks, Spark, Lakehouse)

Deep understanding of

MLOps / LLMOps pipelines

API-first architectures

Leadership

Proven experience architecting large-scale enterprise systems

Solid decision-making and technology evaluation skills
Ideal

Candidate

15+ years experience

Previously worked as Enterprise Architect / Principal Architect

Has built or governed multiple AI platforms at scale

📌 Ai Architect Bengaluru
🏢 Digitide
📍 Bengaluru