IIQ - Development Manager / Enterprise Architect

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.

 

Key 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 Measures

·        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.