Lead AI Technical Architect

Job Description

• Participates in the entire software development cycle - requirements’ analysis, design and development, unit testing and documentation.
• Responsible for long-term code reusability and stability
• Proactively identifies security, usability etc. issues and formulates strategies to resolve them.
• Works independently, without guidance, with broader overview on the project
• Takes ownership of the delivery of complex application features and resolves key technical issues related to the assigned project.
• Complies with estimation process and is responsible for accurate personal estimates.
• Develops required software features, achieving timely and quality delivery.
• Delivers training and participates in knowledge sharing.
• Mentors’ new software engineers in the team
• Integrates recent technologies.
• Understands and follows the release processes in the company.

Must Have:

• Minimum 8 to 12 years of experience
• Expertise with building components/ Services using Java/Node JS/Python
• Expertise in building Agentic workflows on Azure
• Expertise with Schema design and dimensional modelling, Optimizing data warehouse performance.
• Experience in leading code reviews.
• Demonstrate understanding of SOLID principles.
• Demonstrate understanding of TDD or BDD.
• Good knowledge and experience of writing good unit tests.
• Good implementation design using cloud (Azure)
• Microservices architecture, RESTful Webservices, NoSQL & SQL
• Exposure towards Docker & containerization, CI/CD pipeline design & build
• Event driven architecture, Kafka.
• Use of tools such as JIRA, Git, GitHub
• Strong communication skills
• Ability to lead discussion and solve problems for the dev team
• Ability to manage expectations of Product/Business teams in terms of prioritizing quality, aligning to the strategic vision
• Provide guidance on inline technical documentation
• Good to have:
• Experience in AWS or GCP
• Experience in GraphQL tools such as ApolloGraph or Wundergraph.
• Experience with Serverless.
• Experience in Terraform/Cloud Formation
• Tools like Babel, Webpack, NestJS, Jest, Lint, Helm to support build of Node applications.
• Experience in orchestration tools such as Apache Airflow
• Experience with troubleshooting using Grafana / Loki.