Architect - Generative AI

Job Title : Architect Gen AI.

Experience Range : 1316 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 :

- 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 :

- 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 :

- 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 :

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

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

Cloud & AI :

- Cognitive Services.

- AI Foundry.

- Logic Apps.

- Azure SQL.

- Power Automate AI Builder.

LLM Techniques :

- MLOps practices for model deployment.

CI/CD & DevOps :

- Infrastructure-as-Code (ARM/Bicep).

Architecture Patterns :

- Modular, secure, and scalable microservices.

Qualifications & Experience :

- 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 :

- Underwriting, claims processing, compliance automation.

What Youll Gain :

- A collaborative, agile environment focused on innovation and delivery.

- Career development and learning opportunities in AI and cloud technologies.