Job Description

Role 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/Master's 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.

Skills

Mandatory Skills :

MLOPS, GenAI - LLMOps, Python - Data Science, Machine Learning - AIOPS, Deep Learning - AIOPS

About LTIMindtree

LTIMindtree is a global technology consulting and digital solutions company that enables enterprises across industries to reimagine business models, accelerate innovation, and maximize growth by harnessing digital technologies. As a digital transformation partner to more than 700 clients, LTIMindtree brings extensive domain and technology expertise to help drive superior competitive differentiation, customer experiences, and business outcomes in a converging world. Powered by 83,000+ talented and entrepreneurial professionals across more than 40 countries, LTIMindtree -- a Larsen & Toubro Group company -- solves the most complex business challenges and delivers transformation at scale. For more information, please visit https://www.ltimindtree.com/. Please also note that neither LTIMindtree nor any of its authorized recruitment agencies/partners charge any candidate registration fee or any other fees from talent (candidates) towards appearing for an interview or securing employment/internship. Candidates shall be solely responsible for verifying the credentials of any agency/consultant that claims to be working with LTIMindtree for recruitment. Please note that anyone who relies on the representations made by fraudulent employment agencies does so at their own risk, and LTIMindtree disclaims any liability in case of loss or damage suffered as a consequence of the same. Recruitment Fraud Alert - https://www.ltimindtree.com/recruitment-fraud-alert/