Collaborate with data scientists to improve feature selection, feature engineering, and enable end-to-end AI workflows from model training to deployment and monitoring.
Provide first-line engineering support for onsite operational issues, including troubleshooting hardware, network, and software problems, and firmware compliance.
Domain expert: You’ve scaled AI products in production and design for LLM failure modes such as hallucination, context degradation, prompt injection and latency under load.
Operational Governance: Maintaining operational governance of AI solutions by managing production stability, performance thresholds, compliance requirements, risk controls, and responsible AI practices.
#4: Reconciliation. Own straight-through reconciliation to the ledger: categorisation, posting, and the month-end close for each customer. Measure and move the reconciliation rate, precision of auto-posted entries, rework rate and on-time close, and own the exception queue that accountants work from when the system cannot decide
Ensure every roadmap initiative has a clear product narrative explaining the intended user outcome and the technical capability being delivered, including its relationship to models, data, benchmarking, optimization, infrastructure, scheduling, inference, or agentic applications.
Operate as a trusted AI subject matter resource to field sales teams, embedding into account planning and strategy sessions and serving as the connective tissue between the centralized AI GTM organization and regional sales teams