Drive ambiguity to resolution at account scale: translate executive-level strategic intent into production AI systems operating across the enterprise
Define enterprise AI architecture standards and governance frameworks across the client organisation, spanning identity, data, security, multi-platform integration, and AI lifecycle management
Own the relationship with client CTO, CFO, and CISO: shape AI investment strategy, board-level narrative, and multi-year reinvention roadmap
Codify reusable patterns and playbooks that define what enterprise AI reinvention looks like — assets that scale across markets, industries, and the FDE practice globally
Lead executive workshops, board-level engagements, and cross-practice architecture reviews that shape the client’s AI reinvention trajectory
Define the FDE practice model: engineering standards, deployment playbooks, talent development frameworks, and the capability architecture that the practice is built on
Basic Qualifications
Very strong engineering experience with cloud-native systems (APIs, microservices, containerization, serverless).
Expertise in designing and deploying agentic solutions (agents, orchestration, context engineering, RAG, workflows) in production environments.
Strong experience with AI platforms — OpenAI, Claude, Vertex AI, plus open-source models, including building abstraction layers to manage multi-provider pipelines.
Very strong experience leading software engineering teams: overseeing delivery, allocating resources across workstreams, and owning the professional development of direct reports"
Demonstrated end-to-end delivery ownership in a client-embedded environment, internal projects, vendor labs, or team-only deployments do not qualify
Proven ability to articulate business value: can quantify the impact of deployments in terms a CFO would recognize and act on
Experience presenting to and building trust with senior client stakeholders, CTO, CFO, or CISO level
Non-linear profiles are expected and welcomed, assessment is based on demonstrated deployment experience and outcome ownership, not CV pattern matching
About Accenture
Accenture is a leading global professional services company that helps the world’s leading businesses, governments and other organizations build their digital core, optimize their operations, accelerate revenue growth and enhance citizen services—creating tangible value at speed and scale. We are a talent- and innovation-led company with approximately 791,000 people serving clients in more than 120 countries. Technology is at the core of change today, and we are one of the world’s leaders in helping drive that change, with strong ecosystem relationships. We combine our strength in technology and leadership in cloud, data and AI with unmatched industry experience, functional expertise and global delivery capability. Our broad range of services, solutions and assets across Strategy & Consulting, Technology, Operations, Industry X and Song, together with our culture of shared success and commitment to creating 360° value, enable us to help our clients reinvent and build trusted, lasting relationships. We measure our success by the 360° value we create for our clients, each other, our shareholders, partners and communities. Visit us at www.accenture.com
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