Technical Manager

IRIS Business Services Ltd; Navi Mumbai; On-site; INR 1,200,000 - 2,000,000; Full time

Job summary

IRIS Business Services Ltd is seeking a seasoned Technical Manager in Navi Mumbai, India. The ideal candidate will drive the architectural vision for the iFile platform, ensuring AI is embedded in design and development. Responsibilities include defining architectural standards, leading cross-functional collaborations, and evaluating emerging technologies for continuous improvement. Suitable applicants should have extensive experience in Solution Architecture, programming skills in Java and Python, and a strong educational background in engineering. Join us to innovate in regulatory compliance solutions.

Qualifications

• 10–15 years of experience in Solutions Architecture and Product leadership.
• Demonstrates strong capability in processing large datasets across multiple formats.
• Solid understanding of multi-tenant architecture and its considerations.

Responsibilities

• Architect a scalable and modular platform for regulatory use cases.
• Lead with an AI-first architectural approach for data processing and compliance automation.
• Work with cross-functional teams for consistent execution of architecture.

Skills

AI/ML integration

Solution Architecture

Programming (Java, Python, Node.js, Angular)

Multi-tenant architecture

Relational database design

Education

B.Tech / M.Tech / MCA

Tools

GitHub Copilot

AWS

Azure

GCP

Job description

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. The company is an active member of XBRL jurisdictions, including XBRL International, XBRL India, XBRL Europe, XBRL South Africa, and XBRL US. Recognized globally for its award-winning SupTech, RegTech, and DataTech platforms - including IRIS iFile, IRIS iDEAL®, IRIS CARBON®, and IRIS MSME - IRIS helps banking and financial sector regulators digitize supervision and enterprises and achieve seamless financial and ESG reporting.

IRIS’ products are XII certified, ISO 27001:13 and SSAE 18 (SOC 1 Type 2) certified, ensuring industry leading security and reliability. Combined with deep expertise in XBRL, AI, and ML, IRIS delivers robust, high-quality regulatory data infrastructure that enhances transparency, strengthens governance, and supports sustainable growth across the

We are seeking a seasoned Technical Manager to own the end-to-end architectural vision for the iFile 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, not afterthoughts.

The ideal candidate is equally comfortable shaping product strategy and getting hands-on with code, design reviews, and AI-assisted development tooling.

Key Responsibilities

• Architect a scalable, modular, and extensible platform to support evolving regulatory use cases across
• Define architectural standards, design patterns, and best practices across the iFile 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 — to enhance platform performance and intelligence

2. AI-First Design & Development

• Lead the architectural design of the platform with an AI-first approach — ensuring AI and ML are embedded at the core of data processing, compliance automation, anomaly detection, and regulatory intelligence
• Define and implement AI-assisted development workflows leveraging tools such as GitHub Copilot, Cursor, Amazon CodeWhisperer, or equivalent AI coding assistants to accelerate engineering velocity and improve
• Establish standards for the use of AI tools across the development lifecycle — from requirements analysis and design through to code generation, testing, and deployment
• Drive adoption of AI‑powered testing, automated code review, and intelligent CI/CD pipelines within the engineering team
• Identify use cases within the iFile platform where LLM‑based capabilities (e.g., natural language querying of compliance data, AI‑assisted report generation, intelligent validation) can deliver measurable business value
• Stay current with the rapidly evolving AI tooling landscape and provide technical leadership in evaluating and adopting new capabilities responsibly
• 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 and adherence to
• 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 to align architecture with real‑world delivery requirements
• Perform code and architecture reviews to ensure quality, consistency, and adherence to defined standards
• Support pre‑sales and solutioning activities — contributing to RFPs, client presentations, and technical due
• Flexibility and willingness to travel domestically and internationally as required to support business and project needs

Key Skills & Experience

Technical Expertise

• 10–15 years of experience spanning Solution Architecture and Product / Technology leadership, bridging business and engineering domains
• Demonstrates strong capability in efficiently processing large datasets across multiple formats (Excel, CSV, XML, JSON) using programming languages.
• Possesses a solid understanding of multi-tenant architecture and its implementation considerations.
• Has a strong foundation in relational database design, including normalization principles.
• Exhibits in-depth knowledge of building and optimizing multi-threaded and multi-processing applications.
• 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 modern software engineering practices
• 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 with experience deploying applications across on-premises and cloud environments

AI & Emerging Technologies

• Demonstrated experience designing systems with an AI-first approach — integrating ML models, LLMs, or
• Hands‑on familiarity with AI-assisted development and deployment tools (e.g., GitHub Copilot, Cursor, Amazon CodeWhisperer, Tabnine, or similar)
• Exposure to MLOps practices: model versioning, deployment pipelines, monitoring, and governance of AI models in production
• Working knowledge of prompt engineering, RAG (Retrieval-Augmented Generation) architectures, or fine-tuning approaches for domain-specific compliance use cases is a strong advantage
• Experience evaluating and integrating third-party AI/ML services (OpenAI, Azure OpenAI, AWS Bedrock, or equivalent)

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 in complex, multi-stakeholder
• Minimum one architecture-level certification (Java, Cloud, TOGAF, or equivalent)

Expected Outcomes

• A well-governed product lifecycle with clear ownership, decision-making frameworks, and AI-embedded
• A scalable, robust, and consistent platform architecture across all iFile implementations
• Measurable improvement in engineering velocity through AI-assisted development tooling and automated workflows
• Reduced dependency on project-level customisations, preserving core product integrity
• Improved alignment between business goals, product evolution, and technical execution
• A future-ready platform with AI capabilities that deliver tangible value to regulators and enterprises

Education Qualifications

• B.Tech / M.Tech / MCA from reputed institute