Software Engineer Ai Solutions(Business Banking) | Sydney, Au
vor 2 Wochen
Software Engineer AI Solutions (Business Banking)Commonwealth Bank of Australia - Sydney, Australia
Join our AI Enablement team to help integrate AI solutions that drive real-time decision-making, transforming how we serve customers, colleagues, and communities
We are undergoing one of Australia's largest digital transformations using AI technologies.
Together we can reimagine banking for millions of customers.
Do work that mattersOur team has a unique role to enable the Business Bank's vision of becoming Australia's #1 Commercial Bank, by achieving a key focus in delivery AI solutions through to its Channels, Customer and Data.
The team is focused on executing a strong path towards a customer-obsessed application of AI, to deliver critical productivity yields for our bankers and exceptional value management for all of our customers.
About the RoleWe are looking for innovative AI Solutions Engineers to join our AI Enablement function within Business Bank.
In this role, you will integrate AI models into business processes, focusing on building APIs, scaling model scoring functions, and managing scalable data access patterns for both batch and real-time AI use cases - covering both traditional and generative AI.
You will leverage cloud platforms, containerization, and CICD practices to ensure secure, scalable, and efficient AI solutions.
This role is ideal for engineers with experience in building large scale applications using C#, Python, or Java and who thrive on solving complex business problems using advanced AI tools.
Key ResponsibilitiesAPI Development & Integration: Design, build, and integrate APIs that provide seamless access to AI models across business processes, ensuring efficient data flow and usability.Model Scoring & Scaling: Develop scalable model scoring functions that handle high-volume, low-latency AI requests, ensuring models perform effectively across batch and real-time use cases.Scalable Data Access Patterns: Design and implement robust data access patterns for both batch and real-time AI processes, enabling optimal performance for traditional machine learning and generative AI models.Prompt & Chunk Management for Generative AI: Manage and optimize the flow of data chunks and prompts for generative AI models to enhance output quality and ensure integration with business applications.Cloud Integration: Deploy AI models on cloud platforms, ensuring they are scalable, secure, and cost-efficient, supporting both batch and real-time workloads.Containerization: Utilize containerization technologies such as Docker and Kubernetes for scalable, secure model deployment and orchestration in cloud environments.CICD Pipeline Implementation: Build and maintain CICD pipelines for the continuous integration, testing, and deployment of AI models and APIs, ensuring a streamlined and automated development process.Problem Solving & Optimization: Collaborate with cross-functional teams to solve complex business challenges through the integration of scalable AI solutions, improving business outcomes.Collaboration & Coordination: Work with data scientists, engineers, and business stakeholders to ensure AI models are successfully integrated and aligned with business goals.Security & Compliance: Ensure that all AI models and solutions meet internal security requirements and comply with industry regulations, particularly in the banking sector.Key QualificationsStrong experience in building and integrating APIs to facilitate AI model access within business processes.Proficiency in C#, Python, or Java, with experience developing scalable AI solutions.Hands-on experience with cloud platforms (AWS, GCP, Azure) for AI deployment and integration, supporting both batch and real-time data processing.Expertise in scalable data access patterns for both batch and real-time AI models, particularly in generative AI use cases.Proficiency in containerization technologies (Docker, Kubernetes) for scalable, secure AI deployments.Experience setting up CICD pipelines for automating the deployment and testing of AI models.Strong problem-solving skills, with a focus on creating scalable solutions that deliver business impact.Preferred QualificationsExperience in the banking or financial services industry, particularly with AI integration projects.Familiarity with data pipeline and processing tools like Apache Kafka, Spark, or similar.Knowledge of AI governance, risk management, and compliance frameworks in regulated environments.If this role sounds like you - Apply nowAt CommBank, we advocate and facilitate a culture of inclusion and respect, celebrating all cultures, abilities, genders, expressions of gender and sexual orientation.
Read more about our commitment to inclusion and diversity.
We're committed to being an accessible employer and want to make finding your dream job as easy as possible.
If you experience any accessibility issues or if you require additional support please contact HR Direct.
We support our people with the flexibility to balance where work is done with at least half your time each month connecting in office.
We also have many other flexible working options available including changing start and finish times, part-time arrangements and job share to name a few.
Talk to us about how these arrangements might work for you.
Advertising End Date: 21/11/2024
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