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The AI Engineer plays a critical role in driving IBM sales execution by engineering pilot platforms that deliver impactful customer technical and business outcomes. This role focuses on improving the deployment processes of Client Engineering pilots and collaborating with cross-functional teams to build scalable, comprehensive pilot solutions. As a Hybrid Cloud deployment expert, the AI Engineer ensures the successful implementation of IBM strategic software across diverse environments using modern DevOps and MLOps practices.
Responsibilities
- Drive IBM sales execution by engineering pilot platforms tailored to client needs.
- Improve deployment processes and methodologies for Client Engineering pilots.
- Collaborate with Client Engineering teams to build foundational components for pilot solutions.
- Co-create solutions with clients and foster strong relationships during pilot delivery.
- Serve as a subject matter expert in Hybrid Cloud deployments.
- Provide deep technical expertise in OpenShift and its underlying infrastructure:
- Hypervisors and cloud providers
- Managed offerings: ROKS, ROSA, and ARO
- Deploy watsonx and other IBM strategic software using DevOps/MLOps practices.
- Align with industry standards and apply advanced deployment automation techniques.
- Promote Hybrid Cloud adoption through effective communication and technical enablement.
- Leverage modern methodologies and technologies :- Cloud-native framework, Site Reliability Engineering (SRE), DevOps, GitOps, MLOps
- Develop reference cases based on successful implementations.
- Apply domain knowledge to leverage IBM best practices and strategic viewpoints.
- Provide platform expertise for bespoke solutions using IBM technologies.
- Document and share reusable assets across Client Engineering and technical sales teams.
- Experience deploying containerized applications, especially on Kubernetes.
- Troubleshoot deployments and guide clients on best practices.
- Strong understanding of public cloud offerings (compute, networking, storage, security).
- Provide architectural guidance for Hybrid Cloud environments (on-prem and public cloud).
- Recommend best practices for DevOps, GitOps, and MLOps.
- Proficient in platform automation tools:
- Terraform
- Ansible
- ARM templates
- Hands-on experience with Infrastructure as Code (IaC).
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