Technical Lead

About IRIS:

IRIS RegTech Solutions Limited (formerly IRIS Business Services Limited) is India's only listed RegTech SaaS provider, pioneering technology-driven regulatory and supervisory compliance solutions worldwide. Headquartered in Mumbai with subsidiaries across the U.S., Singapore, Malaysia, and Italy, IRIS serves over 30 regulators and 6,500 enterprises in 55 countries.

About IRIS CARBON®:

IRIS CARBON® is used for the regulatory reporting requirements of over 3,000 companies and is being used in over 27 countries. It is a SOC-certified, cloud-based, collaborative SaaS platform for authoring compliance reports and creating and filing them in XBRL/iXBRL formats.

Role Overview

We are seeking a seasoned Technical Lead to own the end-to-end architectural vision for the IRIS Carbon platform. This role is critical in ensuring a clear separation between core product development and project delivery, while driving scalability, consistency, and long-term product sustainability.

A defining requirement of this role is an AI-first architectural mindset: the ability to design systems, workflows, and development pipelines that embed artificial intelligence and automation as foundational elements.

Key Responsibilities

1. Architecture & Platform Design

• Architect a scalable, modular, and extensible platform to support evolving regulatory use cases across multiple markets
• Define architectural standards, design patterns, and best practices across the CARBON platform
• Establish and enforce product governance including change control, versioning, and prevention of customisation creep
• Translate business needs into a cohesive product strategy and technical design framework
• Evaluate and incorporate emerging technologies, with a particular focus on AI/ML capabilities

2. AI-First Design & Development

• Lead the architectural design of the platform with an AI-first approach
• Define and implement AI-assisted development workflows using tools such as GitHub Copilot, Cursor, Amazon CodeWhisperer, or equivalent
• Establish standards for the use of AI tools across the development lifecycle
• Drive adoption of AI-powered testing, automated code review, and intelligent CI/CD pipelines
• Identify use cases where LLM-based capabilities can deliver measurable business value
• Stay current with the rapidly evolving AI tooling landscape

3. Product Strategy & Governance

• Define and drive the product roadmap in alignment with business priorities and regulatory requirements
• Partner with engineering, delivery, and business teams to ensure consistent execution
• Establish architectural guardrails to maintain platform integrity across all customer implementations
• Reduce dependency on project-level customisations by strengthening core product configurability
• Build, mentor, and scale product and engineering teams as the platform grows

4. Delivery & Cross-functional Collaboration

• Work closely with product managers, implementation leads, and customer-facing teams
• Perform code and architecture reviews to ensure quality, consistency, and adherence to defined standards
• Support pre-sales and solutioning activities, including RFPs, client presentations, and technical due diligence
• Flexibility and willingness to travel domestically and internationally as required

Key Skills & Experience

Technical Expertise

• 10 to 15 years of experience spanning Solution Architecture and Product / Technology leadership
• Expertise in API-first design, microservices architecture, and cloud-native platforms (AWS / Azure / GCP)
• Strong proficiency in Java, Python, Node.js, and Angular
• Solid understanding of data architecture, reporting frameworks, and compliance-driven systems
• Hands-on experience with CI/CD pipelines, DevOps practices, and infrastructure-as-code
• Solid understanding of IT infrastructure across on-premises and cloud environments

AI & Emerging Technologies

• Demonstrated experience designing systems with an AI-first approach, integrating ML models, LLMs, or intelligent automation into production platforms
• Hands-on familiarity with AI-assisted development and deployment tools
• Exposure to MLOps practices including model versioning, deployment pipelines, monitoring, and governance
• Working knowledge of prompt engineering, RAG architectures, or fine-tuning approaches is a strong advantage
• Experience evaluating and integrating third-party AI/ML services

Domain & Soft Skills

• Experience in RegTech, SupTech, or financial regulatory / reporting platforms is highly preferred
• Experience in defining governance frameworks, architectural guardrails, and product standards
• Excellent problem-solving, communication, and decision-making capabilities
• Minimum one architecture-level certification (Java, Cloud, TOGAF, or equivalent)

Expected Outcomes

• A well-governed product lifecycle with clear ownership and AI-embedded engineering standards
• A scalable, robust, and consistent platform architecture across all CARBON implementations
• Measurable improvement in engineering velocity through AI-assisted development tooling and automated workflows
• Reduced dependency on project-level customisations, preserving core product integrity
• A future-ready platform with AI capabilities that deliver tangible value to regulators and enterprises