Associate Principal - Data Sciences

AI Architect - P5

Role Overview

end-to-end AI and GenAI architectures

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.