Senior AI/ML Platform Engineer
About the role
bpx energy is building an enterprise AI capability that can scale safely and deliver real operational value. The Senior AI/ML Platform Engineer will help build and operate the technical foundation required to move AI/ML capabilities from project-based implementations into governed, observable, production-grade enterprise capabilities.
Responsibilities
- Build, operate, and evolve AI/ML platform capabilities across Palantir, Databricks, AWS, MLflow, model registries, model serving, feature management, vector stores, and related services.
- Create reusable platform patterns for model development, deployment, serving, monitoring, access controls, and production support.
- Implement CI/CD, infrastructure automation, environment management, secrets management, access controls, and deployment templates for AI/ML workloads.
- Partner with security, infrastructure, data, and enterprise architecture teams to ensure AI/ML platforms are secure, observable, auditable, and operationally reliable.
- Support batch, real-time, streaming, and API-based model deployment patterns.
- Establish standard engineering patterns for experiments, notebooks, jobs, pipelines, model serving, and production promotion.
- Help define platform usage standards, tiered access models, cost controls, observability requirements, and operational support patterns.
- Ensure AI/ML workloads are designed for reliability, scalability, performance, maintainability, and governance.
- Support future federated AI/ML engineering by creating reusable templates, reference architectures, and enablement materials for domain teams.
Requirements
- Bachelor’s degree in engineering, computer science, information systems, or related field, or equivalent work experience.
- Proven experience building, operating, or enabling production AI/ML engineering platforms in a cloud environment.
- Hands-on experience with at least one modern AI/ML platform such as Databricks, AWS SageMaker, MLflow, Azure ML, Vertex AI, or equivalent.
- Practical experience with CI/CD, infrastructure automation, environment management, secrets management, access controls, and production deployment patterns.
- Experience supporting model development and deployment workflows beyond experimentation or notebooks.
- Strong understanding of cloud-native architecture, APIs, containers, compute patterns, storage patterns, and runtime observability.
- Ability to build reusable engineering patterns, templates, reference architectures, and platform “paved roads.”
- Experience partnering with data engineering, security, infrastructure, and architecture teams to move AI/ML workloads into governed production environments.
- Proven track record to troubleshoot platform, deployment, performance, integration, or reliability issues in sophisticated technical environments.
- Strongly Preferred:
- Databricks platform engineering experience, including workspaces, clusters/serverless, Unity Catalog, MLflow, model serving, jobs/workflows, permissions, and cost controls.
- AWS experience with IAM, networking, security groups, S3, Lambda, ECS/EKS, API Gateway, Bedrock, SageMaker, or related services.
Qualifications
- Minimum Requirements:
- Minimum 5 years of relevant experience.
Skills
- Cloud Platforms
- Collaboration
- Communication
- Configuration management and release
- Continuous deployment and release
- Creating a high performing team
- Database Design
- Digital Project Management
- Documentation and knowledge sharing
- Emerging technology monitoring
- Facilitation
- Information Security
- Mentoring
- Metrics definition and instrumentation
- NoSql data modelling
- Problem Solving
- Relational Data Modelling
- Risk Management
- Scripting
- Secure development
- Service operations and resiliency
- Software Design and Development
- Solution Architecture
- Source control and code management
Benefits
We offer a reward and wellbeing package to enable your work to fit with your life. These can include, but not limited to, access to health, vision and dental insurance, flexible working schedule, paid time off policy, discretionary annual bonus program, long-term incentive program, and a generous 401K matching program.
Pay and Benefits
Salary Range: $135,000 - $175,000
Note that the pay range listed for this position is a good faith and reasonable estimate of the range of possible base compensation at the time of posting.
Travel Requirement
Negligible travel should be expected with this role.
Relocation Assistance
Relocation may be negotiable for this role.
Remote Type
This position is a hybrid of office/remote working.