Head of Platform Deployment

About RDC.AI 

What started in 2016 with five people and two chairs has become a global force transforming how banks lend, grow, and protect their portfolios. RDC.AI helps business and commercial bankers know more, do more, and grow more by turning complex data into actionable intelligence.    Our platform uniquely combines predictive and agentic AI to deliver transparent, explainable insights across the entire lending lifecycle - from origination to monitoring. With built-in AI assistants and clear rationales for every recommendation, we empower banks across the globe to make confident decisions faster, launch innovative products, and generate tens of millions of dollars in measurable value.     We're not just building AI - we're pioneering the future of intelligent banking, where every decision is explainable, every insight is actionable, and every outcome drives real impact.   

Join the AI Revolution 

Award-Winning Innovation 

• Winner: The Digital Banker's 2025 Global AI Innovation Awards (Best AI-Powered Platform) 


• Two-time finalist: American Chamber of Commerce Alliance Awards (Advanced Capabilities category) 

Cutting-Edge Technology 

• Building agentic AI solutions that solve real world banking problems 


• We are live in major banks, making millions of decisions, generating tens of millions in value 


• Highest security accreditations: SOC2 Type 2 and ISO 27001 certified 

5-Star Employer Experience 

• Named "Best Companies to Work For" by HRD Australia (2023) 


• High-performance teams working alongside industry-leading data scientists and credit experts 


• Vibrant, innovative culture that celebrates wins and solves complex problems together 

Global Impact & Growth 

• Fast-expanding presence across Australia, New Zealand, and North America 


• Helping drive financial inclusion through fair, accessible, sustainable credit 


• Opportunity to gain AI expertise and international experience in a rapidly growing market 

Work-Life Excellence 

• Highly flexible working arrangements - work how's right for you 


• Collaborative, agile environment where your contributions matter 


• Be part of a mission that's transforming financial services globally 

RDC.AI North America offers:

• Competitive benefits package (80% of premiums paid by RDC.ai) 


• 12 paid holidays


• 20 days PTO per year + 5 paid personal or sick days per year


• Paid Maternity/Paternity leave

Ready to shape the future of intelligent banking? Join us. 

About the Role

RDC.AI is a cloud native AI Decisioning company and as the Head of Platform Deployment, you’ll own the strategy, architecture, and execution of RDC.AI’s deployment of the platform to our customers. You’ll partner across data, AI engineering, product and sales teams to turn vision into production systems, enabling faster time-to-market and real-world AI adoption.  This is a hands-on leadership role — perfect for a builder who thrives in high-growth environments and enjoys shaping systems, teams, and processes from the ground up.   

Key Responsibilities will include: 

• Lead RDC.AI’s platform deployment strategy for AI and data workloads across multiple environments in North America  


• Collaborate with AI, data, advisory and product teams to seamlessly transition models from research to production. 


• Support the collection of business requirements to manage the data and technical designs and specifications for the platform 


• Manage the decision strategy design and specification, including the data specification and data sensor configuration 


• Manage multiple projects effectively while continuing to deliver exceptional quality 


• Drive project status updates to stakeholders (internal and external) 


• Manage the internal coordination of associated delivery roles, e.g., Data Scientists, Client Advisors, Platform Consultants 


• Provide quality control of related project deliverables and artefacts 


• Lead and mentor a small, high-performing team of platform and data engineers. 


• Evaluate and integrate next-gen tools in automation, orchestration, and AI infrastructure. 


• Partner with the leadership team on roadmap planning, capacity forecasting, and infrastructure cost management. 

About the Candidate

Essential-Qualifications 

• 10+ years in software, infrastructure, or DevOps engineering. 


• 3–5 years leading platform or deployment teams. 


• Proven success deploying AI/ML, analytics, or data platforms at scale in production environments. 


• Strong expertise in: 
  
  
  
  
  • Cloud infrastructure: AWS, GCP, or Azure 
  
  
  • Container orchestration: Kubernetes, Docker, Helm 
  
  
  • Infrastructure as Code: Terraform, Pulumi, or CloudFormation 
  
  
  • CI/CD automation: GitHub Actions, Jenkins, GitLab, ArgoCD, or CircleCI 
  
  
  • Monitoring & observability: Prometheus, Grafana, Datadog, ELK, OpenTelemetry 
  
  
  
  

• Proficiency in Python, Bash, or Go for automation and scripting. 


• Experience building multi-tenant, secure, and compliant platforms (SOC2, ISO 27001, data privacy). 


• Familiarity with data pipelines, APIs, and AI deployment workflows (model versioning, A/B testing, canary deployments). 


• Track record of scaling cloud infrastructure for cost, performance, and reliability in startup or enterprise environments. 


• Ability to define and communicate long-term platform vision and technical strategy. 


• Strong track record of hiring, mentoring, and leading technical teams. 


• Experienced in cross-functional collaboration across data, AI, and product functions. 


• Strategic mindset for capacity planning, cost optimization, and tool/vendor selection. 


• Excellent written and verbal communication — able to translate complex systems into clear business value. 


• Ability to travel within North America and to HQ in Australia (estimated 25% travel) 

Desired-Qualifications 

• Hands-on experience with MLOps platforms (MLflow, Kubeflow, SageMaker, Vertex AI, or Databricks). 


• Prior experience in financial services, enterprise AI, or other regulated environments. 


• Exposure to serverless, microservices, and edge AI architectures. 


• Cloud and DevOps certifications (AWS Solutions Architect, GCP Professional Engineer, etc.). 


• Contributions to open-source DevOps, MLOps, or AI infrastructure projects.