Cloud Advisory Senior Manager - AI-Driven Architecture Lead

Digital Core - Cloud Advisory Senior Manager (Level
6) - London

Level: 6 – Senior Manager (Cloud Advisory / Architecture)

Our Architecture team delivers large‑scale transformations from strategy to delivery. As a Senior Manager, you will lead the design of cloud native and hybrid solutions leveraging Accenture's extensive partner ecosystem. You will own executive relationships and be commercially accountable for shaping and leading programmes, using AI and agentic architectures to accelerate decisions and delivery.

• Agentic‑first delivery: Design solutions where governed AI agents support repeatable analysis and deliver workflow to reduce toil, improve traceability, and help teams maintain focus, allow them to spend more time on outcomes rather than manual coordination,
• Executive advisory: Lead CIO/CTO and security conversations, shape the value case, and turn strategy into pragmatic roadmaps across public, private and hybrid cloud. Use GenAI to speed options analysis and decision packs.
• Lead at scale: Set design direction across work streams, run governance forums, and drive growth through origination and proposals. Embed agentic assistants into programme routines (RAID, estimation, requirements, controls evidence).

You will work directly with senior client stakeholders to shape, govern, and lead complex transformation programs.

• Design authority and governance: Own architecture decision‑making for large programmes, including review boards, guardrails, standards, and alignment to delivery, regulatory, and audit requirements.
• Agentic and AI‑enabled architecture: Lead designs that incorporate GenAI and LLM platforms such as Claude, OpenAI, Gemini or equivalent alongside agent orchestration and tool use and design scalable AI and ML solutions aligned to business goals, integrating them into existing enterprise landscapes, and embed appropriate LLMOps controls, evaluation and Responsible AI Governance.
• Strategy, operating model and roadmaps: Translate business goals into target architectures and operating models, define pragmatic modernisation plans, and steer decisions with clear trade‑offs.
• Resilience, security and cost outcomes: Embed zero‑trust IAM, security‑by‑design, HA/DR, and operational controls. Define SLOs/SLIs and bake in observability (metrics, logs, traces). Apply AIOps to reduce noise, accelerate incident triage, and improve reliability, and embed Fin Ops to manage performance and run‑cost value at scale.
• Lead teams and delivery excellence: Build and lead high‑performing architects and engineers, sponsor talent, and run effective governance. Use AI assistants to improve delivery cadence and decision quality, including status synthesis, action tracking, risk sensing, and day‑to‑day SDLC acceleration (requirements elaboration, ADRs, code and test support, and documentation).