AI Engineering LeadArchitect

Own end-to-end delivery of a $10M engineering portfolio across clients on time on budget and to quality bar.

Lead platform build modernisation and custom application programmes natively on cloud Full-Stack Java Distributed Systems Python stack etc.

Set and enforce engineering standards: architecture guardrails code quality DevSecOps and release cadence across multi-team engagements.

Manage programme risk proactively escalate early resolve decisively and keep clients informed throughout.

Embed AI tooling across the SDLC from AI-assisted requirements and design through to automated testing code generation and incident response.

Architect and operationalise agentic systems and workflows that reduce manual toil accelerate delivery cycles and improve output quality.

Quantify the impact of AI adoption: establish baselines track velocity and quality metrics and present measurable efficiency gains to clients and leadership.

Stay ahead of the AI tooling curve; evaluate and pilot emerging platforms (LLM orchestration RAG pipelines AI code assistants).

Carry full P&L accountability for the portfolio margin revenue forecasting and commercial hygiene.

Partner with practice consulting and client partner leaders to identify expansion opportunities within existing accounts and shape new pursuit strategies.

Translate delivery track record into growth narrative contribute to proposals solution designs and client presentations that differentiate on execution credibility.

Serve as the senior delivery point-of-contact for clients build trust-based relationships at CTO/CIO/VP level.

Facilitate governance forums (steering committees QBRs escalation calls) with clarity and confidence.

Align internal stakeholders practice heads resource managers people leaders to programme needs without bureaucratic drag.

Lead mentor and grow a high-performing engineering organisation; foster a culture of ownership and continuous improvement.

Champion individual upskilling create structured learning pathways around AI cloud and modern engineering practices.

Spot and develop next-generation delivery leaders from within the team.