Job Role : AI Architect

Experience : 15+yrs

Location : Banaglore

Job Type : Full Time

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.

2. 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:

New 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

3. Required Skills

Technical

Strong 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

Strong decision-making and technology evaluation skills

4. Ideal Candidate

15+ years experience

Previously worked as Enterprise Architect / Principal Architect

Has built or governed multiple AI platforms at scale