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.
- 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
Robust 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
📌 AI Architect - LLM/RAG (India)
🏢 Devlats
📍 India