Senior ML/LLM Ops Architect & AI Platform Lead

World Wide Technology, Inc.; Lisboa; Hybrid; EUR 112,000 - 167,000; Full time

Benefits offered by this job

Health and Wellbeing

Profit Sharing

401k Plan with Company Matching

Paid Time Off

Family Planning Benefits

Job summary

World WideTechnology is seeking a senior, technically minded architect to define how AI, ML, and large language model capabilities are designed, deployed, and operated in production. The role supports Lead to Quote and Win to Deliver platforms and requires hands-on leadership across engineering, product, data, security, and IT teams.

You will establish architecture standards for ML/LLM Ops, balance coding with reference implementations, review code and prompts, and guide lifecycle management,

Qualifications

• Bachelor’s or Master’s degree in computer science, engineering, information systems, data science, or related field.
• Minimum 12 years of progressive software/solutions architecture or data/AI engineering experience.
• Experience with production ML/AI systems and MLOps/LLMOps.
• Strong communication and leadership skills.

Responsibilities

• Lead architecture reviews and document architecture decisions.
• Define operational readiness criteria and runbooks for AI/ML capabilities.
• Establish observability standards for AI/ML systems (availability, latency, errors, cost).
• Partner with engineering and product teams to identify operational requirements early.

Skills

AI/ML architecture

MLOps/LLMOps

AI/ML observability

Data quality & governance

Leadership & mentoring

Education

CS/Eng degree

12+ years experience

Tools

Kubernetes

CI/CD

Infrastructure as Code

Job description

World WideTechnology is seeking a senior, technically minded architect to define how AI, ML, and large language model capabilities are designed, deployed, and operated in production. The role supports Lead to Quote and Win to Deliver platforms and requires hands-on leadership across engineering, product, data, security, and IT teams.

You will establish architecture standards for ML/LLM Ops, balance coding with reference implementations, review code and prompts, and guide lifecycle management,