
Role 01
Leading the pack
Leading the pack. Focus on building, fine-tuning, and integrating (large language) models into existing software.
- Builds, fine-tunes, and integrates (large language) models
- Works at the core of AI product development
- Translates research into production-grade systems
- Partners closely with product, data, and platform teams

Role 02
The bridge-builder
The bridge-builder who ensures models run not only in a lab, but reliably, scalably and securely in the cloud.
- Ensures models run reliably, scalably, and securely
- Builds pipelines for training, deployment, and monitoring
- Automates retraining, drift detection, and observability
- Bridges data, platform, and engineering teams

Role 03
The translator
The translator who understands what is technically possible and turns it into a product that delivers real customer value.
- Sets AI product vision and roadmap
- Translates technical capability into customer value
- Aligns research, engineering, and go-to-market
- Owns outcome metrics, not just outputs

Role 04
Safety, bias and privacy
With the EU AI Act taking effect, demand is surging for people who test models for safety, bias and privacy.
- Tests models for safety, bias, and privacy risk
- Prepares organisations for EU AI Act compliance
- Audits model behaviour, data use, and governance
- Bridges legal, compliance, and engineering

Role 05
The strategist
The strategist who designs the full infrastructure where AI agents and data pipelines work together.
- Designs infrastructure for AI agents and data pipelines
- Aligns architecture with business and product strategy
- Defines patterns for scalability, security, and cost
- Partners with engineering, data, and leadership

Role 06
Where AI meets revenue
The trend role of the moment: builds AI-driven go-to-market machinery, from outbound automation to product-led growth loops, so revenue teams move at AI pace.
- Automates outbound, enrichment, and qualification with AI agents
- Connects product, marketing, and sales data into one growth engine
- Ships experiments weekly and scales what proves revenue
- Bridges technical depth with commercial instinct