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Associate Principal - Data Sciences

Associate Principal - Data Sciences

Ltimindtree

11 - 15 years

30 - 35 Lacs

pune

Posted:2 hours ago| Platform:

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Skills Required

orchestration neo4j django architectural design system design data privacy microsoft python technical documentation

Work Mode

Work from Office

Job Type

Full Time

Job Description

AI Architect - P5

Role Overview

The Senior AI Architect will design and implement

end-to-end AI and GenAI architectures

leveraging

Microsoft Azure hyperscale services

. This role requires deep expertise in

Azure AI stack

agentic AI patterns

, and

enterprise-grade solution design

for scalability, security, and compliance.

Key Responsibilities

Architectural Design

Define and implement

agent-based AI patterns

using frameworks like

LangChain

LangGraph

CrewAI

Autogen

, or

MS Semantic Kernel

. Design

GenAI/Agentic AI architectures

integrating

Azure OpenAI

Azure AI Services

, and

AI Foundry

. Develop

solution blueprints

, technical documentation, and CI/CD best practices for AI deployments.

Integration & Scalability

Lead integration of AI agents with enterprise IT ecosystems via

secure APIs

event-driven workflows

, and

Azure Kubernetes Service (AKS)

. Ensure designs meet

security

data privacy

explainability

, and

performance standards

Innovation & Leadership

Provide

technical leadership

and mentor teams on

GenAI system design

prompt engineering

, and

multi-agent orchestration

. Collaborate with cross-functional teams to align AI strategy with business objectives.

Required Skills & Experience

Education

: Bachelor s/masters in Computer Science, Engineering, or related field.

Experience

12+ years in
software architecture
, AI/ML, with at least 2 years in
GenAI system design
.
Proven track record delivering solutions on
Azure AI stack
.

Technical Expertise

Copilot Studio and Microsoft Agent Framework
Azure Services
: Azure OpenAI, App Services, Azure Functions, ACR, Azure Files, Entra ID.
Cloud Architecture
: AKS (GPU strategy, autoscaling, private VNet), Bastion.
Programming
: Python, REST APIs (FastAPI/Django/Flask).
Agentic AI Tools
: LangChain, LangGraph, CrewAI, Autogen.
RAG & Vector DBs
: Embeddings, retrievers, Chroma, Neo4j.

Security & Compliance

: Familiarity with

Key Vault

network policies

SAST/DAST pipelines

, and

Azure Monitor

Preferred Qualifications

Experience with

CI/CD pipelines

Infrastructure-as-Code

, and

observability tools

(OpenTelemetry, Azure Monitor). Knowledge of

multi-agent systems

prompt engineering

, and

performance optimization

for large-scale AI models.

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