AI Platform Engineer - Cloud, Data & Enablement

Bristol Myers Squibb UK & Ireland

Dublin

Hybrid

EUR 85,000 - 120,000

Full time

3 days ago
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Benefits offered by this job

Annual bonus
Pension contribution
Family health insurance
27 days annual leave
On-site gym access
Life assurance

Job summary

Bristol Myers Squibb is seeking an expert in AI engineering and enablement to design, develop, and deploy AI-driven solutions across cloud platforms. You will collaborate with product owners, engineers, and data professionals to drive adoption and continuous improvement of AI capabilities.

The role emphasizes scalable AI workflows, documentation, and knowledge sharing to enable enterprise-wide AI enablement. Flexible work models and a competitive benefits package are part of the offering.

Qualifications

  • Experience delivering AI and Generative AI solutions on enterprise platforms.
  • Ability to design, test, deploy and monitor AI-enabled applications.
  • Collaboration with cross-functional teams to drive adoption of AI capabilities.

Responsibilities

  • Design, develop, test and deploy AI and GenAI solutions on approved platforms.
  • Contribute to AI-powered applications, workflows and automation to improve processes.
  • Participate in model evaluation, monitoring and continuous improvement for reliability.
  • Support deployment and operation of AI on AWS and enterprise platforms.
  • Collaborate with stakeholders to deliver effective AI solutions and create reusable artifacts.

Skills

AI/ML solutions development
Cloud engineering
Data integration & API development
DevOps & CI/CD
Stakeholder collaboration

Tools

AWS
Enterprise AI platforms
CI/CD tooling

Job description

Bristol Myers Squibb is seeking an expert in AI engineering and enablement to design, develop, and deploy AI-driven solutions across cloud platforms. You will collaborate with product owners, engineers, and data professionals to drive adoption and continuous improvement of AI capabilities.

The role emphasizes scalable AI workflows, documentation, and knowledge sharing to enable enterprise-wide AI enablement. Flexible work models and a competitive benefits package are part of the offering.

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