Enterprise AI Solutions Architecture
For senior engineers, architects and tech leads who design AI systems for large organisations and must defend those designs to security, risk and finance. You will design a complete AI assistant for a regulated bank, one reviewable decision document at a time, and finish by defending it in front of a review board.
Course Content
See the finished Meridian Bank design first, learn what an AI solutions architect owns, and learn why evaluation is the engineering at the centre of the job.
Break AI features into primitives with known failure modes, judge claims by the evidence behind them, and plan for models that change and retire.
Turn a stakeholder's goal into measurable requirements, pick the lowest-risk approach that meets each one, and close the evidence gaps before you commit.
Decide what data the assistant may use, how fresh it must be and who may see it, then design the pipeline that turns it into exactly the right context for each request.
Decide where models run and which model does which job, with numbers for cost, data protection and resilience, and fallbacks that fail safely.
Decide how much the system may do on its own, keep human review real rather than ceremonial, and limit the damage any single tool call can cause.
Connect the assistant to enterprise systems through APIs, events and shared tool servers, and define exactly what happens when any of them is slow, down or called twice.
Design layered evaluation that is fast enough to run on every change, and quality objectives that tell operations, on any given Tuesday, whether the assistant is still good enough.
Make every output explainable after the fact, notice drift before users do, respond to AI incidents with a practised runbook, and release prompts, models and indexes as one versioned unit.
Find where an attacker's words can reach the model, rate the threats with two complementary lenses, and choose controls that still hold when the model does exactly what the attacker asks.
Work out what one unit of AI work really costs, see which costs actually dominate, and write a business case with options, sensitivity and stage gates that a finance partner will sign.
Record the risks that remain and who owns them, bring the system into model risk management, classify it under regulation without over- or under-claiming, and set up the platform and operating model that let the next use case go faster.
Assemble the design record into one design dossier a review board can read in twenty minutes, then defend it: answer each reviewer with evidence, admit what you do not know, and turn objections into conditions.