Gen AI architect

Job Title: Architect – Gen AI

Experience Range: 13–16 Years

Location: Noida

Job Summary

We are seeking a hands-on Technical Architect specializing in Generative AI to lead the design and implementation of AI-driven architectures across complex enterprise systems. This role combines deep coding expertise in Python, .NET Core, Angular, and Azure, with a strong architectural mindset to modernize platforms, drive efficiency, and deliver intelligent automation through AI/ML solutions.

This is a high-impact role that involves coding, PoC development, AI architecture leadership, and direct collaboration with cross-functional teams and stakeholders.

Key Responsibilities

Hands-On Development

Design and develop GenAI models for real-world use cases (e.g., predictive analytics, document summarization, intelligent workflows).

Build scalable .NET Core Web APIs, Angular/React frontends, and Azure-native applications (Functions, Logic Apps, Azure SQL).

Develop AI accelerators including agentic workflows, RAG pipelines, and LLM-integrated solutions.

Create and iterate on proof-of-concepts (PoCs) aligned with business use cases.

Architecture & Delivery

Define and evolve the Gen AI roadmap for SDLC integration.

Architect event-driven, cloud-native systems using Azure tools and messaging services like Kafka/Event Grid.

Implement robust CI/CD, security, and code quality practices (e.g., SonarQube, guiderails, IaC with Bicep/ARM).

Team & Stakeholder Collaboration

Work alongside fellow architects to align technical strategy with enterprise goals.

Partner with business stakeholders to translate workflows into intelligent, automated solutions.

Conduct code reviews, mentor developers, and troubleshoot high-priority issues across the stack.

Present GenAI solutions and ROI in customer architecture review boards (ARBs).

Technical Skill Mandates

Languages & Frameworks:

Python (AI/LLM workflows, model integration)

.NET Core (API development, cloud-native patterns)

Angular (v13+) or React (TypeScript-based frontend development)

Cloud & AI:

Microsoft Azure

Cognitive Services

AI Foundry

Logic Apps

Azure SQL

Power Automate AI Builder

LLM Techniques:

Prompt engineering, fine-tuning, RAG architecture

MLOps practices for model deployment

CI/CD & DevOps:

Azure DevOps, GitHub Actions

Infrastructure-as-Code (ARM/Bicep)

Architecture Patterns:

Event-driven systems (Kafka, Azure Event Grid)

Modular, secure, and scalable microservices

Qualifications & Experience

13–16 years of total experience in enterprise software, including:

5+ years in AI/ML architecture and cloud-native system design

Demonstrated ability to code, architect, and lead AI-powered solutions

Bachelor's or Master's in Computer Science, Engineering, or related field

Preferred certifications: Azure Solutions Architect Expert, AWS/GCP Cloud Architect

Preferred Domain Experience

Exposure to domains like insurance, finance, or regulated industries with workflows like:

Underwriting, claims processing, compliance automation

What You’ll Gain

Opportunity to lead GenAI strategy in a tech-forward enterprise

A collaborative, agile environment focused on innovation and delivery

Career development and learning opportunities in AI and cloud technologies