Principal Architect; AI​/ML - Startup​/MERN Stack

Position: Principal Architect (AI/ML) - Startup/ MERN Stack
We are looking for a highly skilled Principal Architect to design and lead scalable, innovative technology solutions that drive business transformation. The ideal candidate will possess a deep understanding of scalable Cloud Architectures and API’s, the latest Dev Ops methodologies, and a strong commitment to staying current with AI/ML advancements. A key focus will be on ensuring data interoperability across various systems and platforms.

Key Responsibilities:

• Architect and design complex, scalable workflows and solutions that align with business needs

and technology goals.

• Develop cloud-native architectures, ensuring scalability, performance, and security for enterprise

applications.

• Lead initiatives to improve data interoperability, ensuring seamless integration of systems and

enabling efficient data exchange across diverse platforms.

• Lead the design and implementation of robust APIs, ensuring that they enable effective system

integration, scalability, and data flow.

• Advocate for and implement Dev Ops best practices, including CI/CD pipelines, infrastructure

automation, and operational excellence.

• Stay up to date with emerging technologies, particularly in AI/ML, and integrate them into

enterprise solutions to drive innovation.

• Collaborate with key stakeholders, including the CTO, product, and engineering teams, to deliver

architectural solutions that meet both technical and business requirements.

• Conduct architectural reviews and ensure alignment with enterprise technology standards.

• Mentor and guide engineering teams in implementing best practices and continuous

improvements.

• Work cross-functionally to integrate new solutions into the existing infrastructure, with a focus

on data integrity and system compatibility.

• Ensure compliance with relevant regulations and industry standards, particularly for the Utilities

and Telecom industries.

Good to have:

• Bachelor's or Master’s degree in Computer Science, Engineering, or a related field.

• 8-10 years of experience in software architecture, with expertise in cloud-native architectures

and data integration strategies.

• Strong experience in at least one major cloud platform (e.g., AWS, Azure, Google Cloud) and

multi-cloud strategies.

• Proficient in Dev Ops tools and practices (e.g., Docker, Kubernetes, Jenkins, Terraform) with a

focus on automation and infrastructure-as-code.

• Experience with AI/ML frameworks and the ability to integrate machine learning solutions into

enterprise architectures.

• Proven experience with data interoperability frameworks and tools, ensuring the seamless flow

of data between different systems.

• Experience in Utilities or Telecom is a strong plus.