Rich Data Co-posted about 2 months ago
Full-time • Mid Level
New York, NY
51-100 employees

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.

  • 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.
  • 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)
  • 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.
  • 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
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