Experience in Python coding or other similar language suited for AI solutions.
Prior experience working with Ansible, Bash, and Powershell coding.
Prior experience with Gond or other LM AI frameworks.
Prior experience with GitLab CI/CD pipeline.
Requirements:
Develop automation solutions for delivery of managed infrastructure services and support ERP applications.
Help architect an AI strategy and implement AI solutions to support the infrastructure and administration of ERP applications.
Translate high level design into medium level tasks with more technical detail for the team to implement.
Ensure successful implementation of automation solutions for effective delivery of infrastructure and product solutions to support program schedule.
Job description
This role will focus on the engineering and delivery of AI & Automation related program needs by way of AGILE process.
Responsibilities of this role (not extensive list)
- Develop automation solutions for delivery of managed infrastructure services and support ERP applications
- Help architect an AI strategy and implement AI solutions to support the infrastructure and administration of ERP applications.
- Translate high level design into medium level tasks with more technical detail for the team to implement
- Ensure successful implementation of automation solutions for effective delivery of infrastructure and product solutions to support program schedule
- Assist with team lead activities by coaching\mentoring other team members, reviewing other teammate's work, and setting team tasks\priorities.
- Very strong knowledge of IT automation and AI technologies
Skills required but not limited to:
- Experience in Python coding or other similar language suited for AI solutions.
- Prior experience working with Ansible, Bash, and Powershell coding
- Prior experience with Gond or other LM AI frameworks
- Prior experience with GitLab CI/CD pipeline
- Hands-on experience building MCP servers and AI agents, including practical skills in prompt/tool orchestration, API integration, authorization and security, containerized cloud deployment, and maintaining critical production applications.
