Technical Architect

Job Title: Technical Architect (AI)

Experience Range: 12–15 Years

Location: Noida

Job Summary/ Job Opportunity

hands-on Technical Architect (AI)

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:

• Python

  : Proficient in building agents, integrate with LLM models, and integrating them into .NET systems.

• .NET Core

  : Expertise in developing scalable Web APIs, Entity Framework, and cloud-native applications.

• Angular/React

  : Strong frontend development skills (Angular 13+, TypeScript).

• Cloud & AI:

• Azure

  : Hands-on with

  Cognitive Services, AI Foundry, Logic Apps, Power Automate AI Builder

  , and Azure SQL.

• DevOps

  : CI/CD pipelines (Azure DevOps), Infrastructure-as-Code (ARM/Bicep).

• AI/ML

  : GitHub Copilot, Foundational models, integrations of such models, LLM fine-tuning, prompt engineering, and MLOps for insurance workflows.

• Insurance Domain:

• Applied knowledge of underwriting, claims processing, and regulatory compliance.

Soft Skills

• Ability to

  code, architect, and communicate

  solutions effectively to technical and non-technical stakeholders.
• Leadership in

  Agile/Scrum

  environments with a focus on

  delivering working software.

Qualifications & Experience

12–15 years

Proven track record

Insurance domain experience (e.g., policy administration systems, claims automation).

Azure Solutions Architect Expert