IIQ - Senior AI Engineer

Crisil; Maharashtra; On-site; INR 2,500,000 - 4,000,000; Full time

Job summary

Crisil is seeking a hands-on Technical Development Lead to design, build, and scale an enterprise GenAI platform in a regulated banking environment. This role involves ownership of technical architecture and delivery quality, requiring expertise in distributed systems, cloud-native platforms, and banking operations. The candidate should possess a degree in Engineering or Computer Science and has 15–20 years of experience in software engineering and technical leadership. A deep understanding of Java, microservices, and regulatory compliance is essential.

Qualifications

• 15–20 years of hands-on software engineering and technical leadership experience.
• Strong experience in banking or regulated financial services environments.
• Deep expertise in Java, microservices, distributed systems, Kafka, and Redis.

Responsibilities

• Define and evolve the end-to-end architecture for the GenAI platform.
• Lead hands-on engineering execution across multiple PODs.
• Ensure architecture aligns with performance needs and risk controls.
• Design scalable, resilient, and secure distributed systems.

Skills

Java

Microservices

Distributed Systems

Kafka

Redis

Python

Cloud Platforms

Data Analytics

Education

Bachelor's or Master’s degree in Engineering or Computer Science

Tools

Snowflake

Hadoop

Databricks

Apache Airflow

Docker

Kubernetes

Job description

Overview

We are seeking a hands-on Technical Development Lead to design, build, and scale an enterprise GenAI platform in a regulated banking environment for our Integral IQ global business. This role owns technical architecture, engineering execution, and delivery quality, working closely with the Product Owner / Program Manager to enable GenAI Use Cases across Front Office, Middle Office, and Back Office domains. The role requires deep expertise in distributed systems, cloud-native platforms, data-intensive architectures, and strong understanding of banking operations and controls.

Responsibilities

• Technical Architecture & Design
• Define and evolve the end-to-end architecture for the GenAI platform.
• Design scalable, resilient, and secure distributed systems using Java microservices and event-driven patterns.
• Ensure architecture aligns with Front Office performance needs, Middle Office risk controls, and Back Office operational efficiency.
• Partner with enterprise architects to align with bank-approved standards.

• Engineering Execution & Delivery Leadership
• Lead hands-on engineering execution across multiple PODs.
• Translate product backlog into technical designs, sprint plans, and delivery roadmaps.
• Review code and designs to ensure quality, performance, and security.
• Ensure predictable delivery and manage technical risks and dependencies.

• GenAI & Platform Engineering
• Lead integration of GenAI capabilities including prompt management, RAG pipelines, and model inference.
• Provide technical guidance on use of LLMs and GenAI frameworks in regulated environments.
• Ensure responsible AI principles, explainability, and auditability are embedded by design.

• Data, Streaming & Caching Platforms
• Design and govern use of Kafka for event-driven architectures and real-time data pipelines.
• Ensure correct use of Redis for caching, session management, and low-latency access.
• Work closely with Data Architects on data migration, analytics, and ML-ready data platforms.

• Cloud-Native & Containerized Platforms
• Own engineering standards for Docker-based containerization and Kubernetes orchestration.
• Define CI/CD pipelines, deployment strategies, autoscaling, and high availability patterns.
• Support hybrid, private cloud, and on-prem deployments common in banking.

• Banking, Risk & Compliance Alignment
• Embed security, risk, and compliance requirements into architecture and code.
• Partner with Risk, Compliance, and Audit teams on design reviews and regulatory readiness.
• Ensure solutions meet data privacy, data residency, and model risk management requirements

• Technology Leadership
• Mentor POD Leads and senior engineers.
• Set coding standards, architecture guidelines, and engineering best practices.
• Foster a culture of ownership, quality, and continuous improvement.

Qualifications

• Bachelor’s or Master’s degree in Engineering or Computer Science.
• 15–20 years of hands-on software engineering and technical leadership experience.
• Strong experience in banking or regulated financial services environments.
• Deep expertise in Java, microservices, distributed systems, Kafka, and Redis.
• Hands-on experience with Python for data platforms and analytics.
• Experience with Big Data platforms such as Snowflake and/or Hadoop.
• Experience with orchestration tools such as Databricks and/or Apache Airflow.
• Hands-on experience with at least one cloud platform (AWS, Azure, or GCP).
• Strong understanding of Front Office, Middle Office, and Back Office banking processes.

Success Metrics

• Stable, scalable, and secure GenAI platform in production.
• Predictable delivery of platform and POD milestones.
• Positive audit, risk, and compliance outcomes.
• High engineering quality and platform adoption across FO, MO, and BO teams.
• Strong, effective collaboration with Product and business stakeholders.