AI Solutions Architect
Designs end-to-end AI systems — picks models, retrieval, evaluation and deployment patterns — and translates them into something a CTO can sign off on. Strongest fit for engineers who can think across stacks.
Other strong paths for you
Ranked by fitAI Engineer
Build, ship and maintain AI-powered features — chatbots, RAG apps, agents, embedded LLMs.
ML Engineer
Productionise ML models — training pipelines, distributed compute, deployment, monitoring at scale.
GenAI Engineer
Specialist in LLMs, agents, RAG, fine-tuning and evaluation — the role hiring fastest in 2025–26.
Data Scientist
Bridge analytics and ML — frame business questions, run experiments, build predictive models.
MLOps Engineer
Own model lifecycle — CI/CD, registries, drift detection, observability and rollback.
AI Product Manager
Drive AI product strategy — define metrics, scope features, balance model behaviour vs. UX.
AI Researcher
Push the boundary — novel architectures, fine-tuning regimes, evaluation methods.
Agent Engineer
Specialised in multi-agent orchestration, tool use, planning loops — the frontier 2026 role.
Salary by path — UK, 2026
Sources: LinkedIn, Levels.fyi, Otta, AIcareers Index · refreshed weekly.