AI - ML Engineering Manager

Job Description

Your Team and Responsibilities You will lead a team of Engineers, Data Scientists and collaborate with Technology Product Owners that will be helping to build the platforms, tools and services provided by the Gen AI domain to our internal customers. These cross-capability teams reporting int chapters; will be spread across multiple squads delivering to effectively use our solutions through co-engineering on Gen AI Hub or Transformer Banking Experience. Youll have the opportunity to take responsibility people management, capability uplift, continuous improvement, ensuring our engineers and other discipline teams are inspired to do the work that matters! For the Prompt Engineering and Knowledge Engineering disciplines. Collaborate & Partner Collaborate with Technology Pos from different squads to accomplish Squad/Chapter goal. Cultivate key internal and external partnerships, wherever required. Act as a key liaison between the various support & cross functional teams across Australia & India Partner with Squads and/or COE leads to determine skillset and capability requirements to sustainably meet resourcing needs. Drive & Execute Strategy Elevate craft capabilities, strategically applying expertise across the portfolio to accelerate Gen AI delivery. Drive a Tech culture of continuous improvement (CI). Participate in planning, definition and high-level growth of peoples career; people movement across squads, assist Squads to identify the right technical skilled people. Have demonstrable software development experience. You are willing to learn and jump into the deep end of technical problems and dive into code Can demonstrate a thorough understanding of software design and software development lifecycle. Are familiar with emerging tech and methodologies. Lead & drive cultural change Bring a friendly and can-do attitude and teamwork and inspire others on culture change needed to build an Engineering Mindset and AI First Mindset. Lead a team and support the wider CBA India LT in developing a positive culture by demonstrating CBA values in your approach to your responsibilities. Drive a one team culture across engineers to manage competing priorities and share best practices Design and implement a framework for accredited learning pathways, reskilling and talent transformation for making the workforce worldclass Build a Strong academy for people to upskill and certify to become proficient in multiple technologies and capabilities Accountable for the development, performance management and career progression of a number of Technology roles e.g. Software and Systems Engineers Drive a Risk Mind-set: Build collaborative relationships with various stakeholders to ensure risks are identified early and managed in a timely manner. Role models exceptional risk behaviors and embeds a superior risk culture. Your skills & Your Experience Experienced leader with strong people management and stakeholder management capabilities and backgrounds e.g. Gen AI, AI, Platform Engineering, Architecture, Data Strong Leadership (including People Management), not just Project Management Have tech delivery expertise (i.e. an expert in tech that can also get tech delivery done) High level of communications and negotiation skills, including the demonstrated ability to solicit opinions and accept feedback. Experience in operating effectively as part of cross-functional teams. Proficiency in key capabilities IT SDLC processes, written documentation/ specification skills Have experience in Prompt Engineering / Gen AI Adoption/ Platform Engineering / Knowledge Engineering disciplines Exposure to tools/services/capabilities like: Cloud Solution Architecture/Development/Security/IaaC (AWS + Azure) Python / TypeScript / C# Gen AI frameworks & tools (e.g. Agentic FWs, Langchain, Semantic Kernel) Vector/Graph/SQL Databases Non-deterministic automated testing Machine Learning, including LLM fine-tuning System Reliability Engineering Secure Coding Customer engagement systems Workflow platforms Your Qualifications Education: Advanced degree in Computer Science, Engineering, Maths, Statistics, or related field Minimum of 15 years of experience in relevant field, with 5+ years of experience in core technology organization or Banking Proven track record of building and leading a team of engineering professionals. Excellent problem-solving skills and ability to identify creative solutions to complex problems. Strong cross-cultural communication skills and the ability to effectively manage collaboration across time zones. Required Technical Skills Solution Architect experience for GenAI. System design knowledge. Proficient in Python code review. Cloud Solution Architect - Experience with AWS (Certified ones are preferred) Exposure to GenAI, NLP, RAG, and ML engineering. The resource should have experience in leading and managing a team previously as they will have diect reportees in this role Must have a problem-solving attitude and strong leadership skills and should not have only project management experience End-to-end domain knowledge. Open for candidates with 60-90days notice period . Note: Require 100% Diversity profiles