Technical Lead

Apto Global Employment Private Limited; Navi Mumbai; On-site; INR 1,000,000 - 1,800,000; Full time

Job summary

Apto Global Employment Private Limited seeks a senior architecture leader to design and govern a scalable CARBON platform with an AI-first mindset. You will shape the architectural framework, guide AI tooling adoption, and ensure governance across multi-market deployments.

The role focuses on API-first design, microservices, cloud-native platforms, and integration of AI/ML capabilities to enhance compliance automation and data intelligence.

Qualifications

• 10–15 years of experience spanning Solution Architecture and leadership.
• API-first design and microservices experience.
• Cloud-native platforms (AWS/Azure/GCP) expertise.
• Strong Java, Python, Node.js, and Angular skills.
• CI/CD, DevOps, and IaC familiarity.
• Data architecture and governance awareness.

Responsibilities

• Architect scalable, modular platform across markets.
• Define standards, governance, versioning, and configurability.
• Embed AI/ML tooling and AI-first design in data processing and compliance.
• Lead AI-assisted development workflows and gated tooling adoption.
• Drive product roadmap aligned with regulatory requirements and business goals.
• Mentor teams and scale platform as the business grows.
• Collaborate with product, engineering, and delivery for real-world alignment.
• Ensure architectural guardrails and reduce customization creep.

Skills

Solution Architecture

Product leadership

API-first design

Microservices

Cloud-native platforms

Java

Python

Node.js

Angular

CI/CD pipelines

DevOps

Infrastructure as Code

Data architecture

Reporting frameworks

Compliance systems

Education

Architecture level certification (Java / Cloud / TOGAF)

Tools

GitHub Copilot

Cursor

Amazon CodeWhisperer

Tabnine

Job description

• 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 — 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 code quality
• 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 CARBON 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 product principles
• 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 diligence
• 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
• 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 intelligent automation into production platforms
• 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 environments
• Minimum one architecture‑level certification (Java, Cloud, TOGAF, or equivalent)