Lead Consultant - AI Ops & Error Handling

Role Overview

Lead the design, implementation, and delivery of one of three critical workstreams: Generic Error Handling, Auto-Recovery & Dependency (AI Ops) You will serve as the technical authority for your workstream, driving solution architecture, client engagement, and team leadership to deliver measurable business outcomes within an aggressive timeline.

Key Responsibilities

Technical Leadership

Lead end-to-end design and implementation of your assigned workstream solution

Translate business requirements into scalable, maintainable technical architectures

Design and implement integrations with BANK systems (API, Grafana, Cloud, monitoring tools)

Conduct technical reviews and ensure solution quality meets enterprise standards

Troubleshoot complex issues across application layers, integrations, and cloud services

Client Engagement & Consulting

Engage BANK stakeholders to gather requirements, propose solutions, and drive technical discussions

Serve as trusted technical advisor, providing strategic recommendations to senior leadership

Present solution designs, progress updates, and business value demonstrations

Manage stakeholder expectations and ensure alignment across teams

Delivery Management

Own delivery of your workstream within scope, schedule, and budget

Drive SIT/UAT activities, ensure solution quality, and support go-live and hypercare phases

Identify and mitigate technical and delivery risks proactively

Coordinate with other Lead Consultants to ensure cross-workstream integration

Team Development

Mentor Senior Consultants, Consultants, and Associate Consultants on best practices

Provide technical guidance on implementation approaches and problem-solving

Foster a culture of continuous learning and professional growth

Contribute to reusable assets, frameworks, and internal capability building

Requirements

Essential

Bachelor's degree in Computer Science, Engineering, Information Technology or related field

9-12 years of relevant experience in software development, system integration, or technical consulting

Proven track record leading complex technical projects from design through production

Strong expertise in at least one workstream area:

Error Handling: API design, error frameworks, observability tools (Grafana, Splunk)

AI Ops: AI/ML platforms, automated incident response, monitoring and alerting systems

Feature Flags: Code analysis tools, automated refactoring, CI/CD pipelines

Experience with cloud platforms (AWS, Azure, GCP) and containerization (Docker, Kubernetes, PCF)

Strong analytical, problem-solving, and structured thinking capabilities

Excellent communication, presentation, and stakeholder management skills

Ability to work independently, take ownership, and deliver under tight timelines

Preferred

Experience with financial services or banking systems

Familiarity with BANK technology stack (API, MFE, backend systems)

Knowledge of AI/ML tools and platforms (e.g., AWS SageMaker, Azure ML)

Experience with observability tools (Grafana, Prometheus, ELK stack)

Understanding of DevOps practices and CI/CD automation

Certification in relevant technologies (AWS, Azure, Kubernetes, ITIL)

What You'll Deliver

Fully functional solution for your workstream, deployed to production

Technical architecture documentation and design specifications

Integration with existing BANK systems and monitoring tools

Knowledge transfer and training materials for BANK teams

Measurable business outcomes (e.g., reduced incident escalations, improved error visibility)