Head Of Engineering- AI Product And Solutions

About the Company

Sirius AI is a US headquartered AI Consulting services and products company with operations in India. Sirius AI focuses on Financial Services enterprises and solutions / services delivered across multiple geographies. We are an innovation driven AI and data driven consulting services firm with a high focus on delivering business outcomes for our clients. The Sirius AI team is a mix of talent from a diverse background of Consulting, Industry and Product companies which bring together their Data, Platform, Ecosystem, Technology, Project management and AI skills to develop new solutions and deliver client engagements.

About the Role

We are looking for a Head of Engineering for AI :Principal Engineer who will play a critical role in shaping the technical direction of our platform. This role is highly hands-on and combines deep technical expertise, system architecture ownership, and senior-level mentorship.

You will work closely with product, engineering, and external partners to design and build scalable, secure, and high-performance systems, while influencing engineering standards and long-term technology decisions.

Responsibilities

• Design, develop, and maintain backend services using Node.js and Python, following microservices architecture best practices.
• Architect, implement, and evolve high-availability distributed systems, with strong focus on concurrency, latency, throughput, and fault tolerance.
• Own and produce detailed High-Level Design (HLD) and Low-Level Design (LLD) documents covering system architecture, APIs, data flows, and integrations.
• Design and implement integration architectures (REST, GraphQL, Event-Driven) with Core Banking Systems and external partners, ensuring backward compatibility, versioning, and contract stability.
• Design and optimize database schemas across SQL and NoSQL databases, including sharding, partitioning, and indexing strategies at scale.

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• Build, deploy, and operate systems on cloud platforms (AWS, Azure, GCP) with hands-on usage of Docker and Kubernetes.
• Implement security best practices and drive performance optimization across systems, with strong focus on production stability and long-term architectural improvements.
• Provide hands-on technical leadership through code reviews, design walkthroughs, and mentoring senior engineers, while driving adoption of best practices across teams.
• Apply prior experience in Fintech, E-commerce, or SaaS environments to build secure, scalable, and compliant systems.

Qualifications

Bachelors degree in Computer Science, Engineering, or a related technical field from a recognized university.