Technical AI Architect

r3 Consultant; Delhi; On-site; INR 1,500,000 - 2,000,000; Full time

Job summary

A leading technology consultancy is seeking a Technical Architect (AI) in Noida to design and implement AI-driven architectures for the insurance sector. This role requires deep expertise in Python, .NET Core, Angular, and Azure, along with the ability to guide teams and deliver innovative solutions. Candidates should have 12–15 years of experience and a passion for coding and architectural development. Join us to drive modernization and AI integration in systems and workflows.

Qualifications

• 12–15 years of experience in relevant software development and architecture roles.
• Hands-on expertise in AI architecture and development using cloud technologies.
• Strong coding skills and experience mentoring or leading technical teams.

Responsibilities

• Design, code, and optimize AI models.
• Lead implementation of cloud-native AI use cases.
• Conduct code reviews and mentor technical teams.

Skills

Python

.NET Core

Angular

Azure

AI/ML solutions

Kafka

Job description

Job Title: Technical Architect (AI)

Experience Range: 12–15 Years

Location: Noida

Job Summary / Opportunity

We seek a hands‑on Technical Architect (AI) to design and implement AI‑driven architectures for our insurance ecosystem. You will lead by example, combining deep coding expertise in Python, .NET Core, Angular, and Azure with architectural vision to modernize systems, reduce costs, and integrate AI/ML solutions. This role demands active contribution to code, PoCs, and system design while guiding teams and clients. If you possess a passion for what you do, we await your innovation at Xceedance.

Key Objectives and Major Responsibilities

• Hands‑On Development: Design, code, and optimize AI models (e.g., predictive underwriting, claims automation) using Python, Azure AI Services, and LLMs.
• Build .NET Core Web APIs, Angular/React UIs, and Azure‑native applications (Functions, Logic Apps, Azure SQL).
• Develop AI accelerators (e.g., Agentic AI workflows, RAG pipelines) and PoCs for insurance use cases.
• Architecture & Delivery: Help in designing, imagining, and building the roadmap for the Organisation in AI in SDLC and emerging technologies in this space.
• Lead end‑to‑end implementation of AI use cases using cloud native (Azure) technologies.
• Architect event‑driven systems using Kafka, Azure Event Grid, or similar tools.
• Enforce code quality via SonarQube, security via Guiderails, and CI/CD best practices.
• Client & Team Collaboration: Work with Chief architect and other architecture team members for this initiative.
• Partner with stakeholders to translate insurance workflows (e.g., policy administration) into technical solutions.
• Conduct hands‑on code reviews, troubleshoot performance bottlenecks, and mentor teams in Python, .NET Core, and Angular.
• Present technical solutions in customer ARBs, including AI/ML ROI demonstrations.

Key Capabilities and Competencies

Technical Expertise (Hands‑On Required)

Languages & Frameworks: