Job Description
Accenture is a leading global professional services company, providing a broad range of services in strategy and consulting, interactive, technology and operations, with digital capabilities across all of these services. With our thought leadership and culture of innovation, we apply industry expertise, diverse skill sets and next-generation technology to each business challenge. We believe in inclusion and diversity and supporting the whole person. Our core values comprise of Stewardship, Best People, Client Value Creation, One Global Network, Respect for the Individual and Integrity. Year after year, Accenture is recognized worldwide not just for business performance but for inclusion and diversity too. “Across the globe, one thing is universally true of the people of Accenture: We care deeply about what we do and the impact we have with our clients and with the communities in which we work and live. It is personal to all of us.” - Julie Sweet, Accenture CEO Qualification Key Responsibilities- Lead enterprise AI platform deployments across complex multi-stakeholder client environments - Anthropic, OpenAI, Microsoft, Google, Salesforce, SAP, or Palantir - owning the fullprogrammefrom architecture through adoption
- Ownprogramme-level delivery outcomes: time-to-value, reliability, adoption velocity, and scalability across multiple concurrent workstreams, with commercial metrics attached
- Lead rapid experimentation at pace: drive ambiguous business problems to working production systems in days or weeks across complex enterprise environments
- Architect and govern enterprise AI solutions across the full technology stack: identity, data, security, governance, platform layer, and multi-system workflow integration atprogrammescale
- Shape AI reinvention strategy for client CTO, CFO, and CISO: build value architecture, ROI backlogs, use caseprioritisationframeworks, and multi-year AI adoption roadmaps
- Define and publish reusable reinvention blueprints, patterns, and accelerators that scale across multiple client engagements and grow the FDE practice
- Lead architecture design sessions, executive workshops, and code-with sessions with client engineering and C-suite leadership teams
- Codify delivery learnings, failure patterns, and engineering standards that shape the FDE practice and enable the next generation of forward deployed engineers
- Strongengineering experience with cloud-native systems (APIs, microservices, containerization, serverless).
- Expertisein designing and deploying agentic solutions (agents, orchestration, context engineering, RAG, workflows) in production environments.
- Experience with AI platforms - OpenAI, Claude, Vertex AI, plus open-source models - including building abstraction layers to manage multi-provider pipelines.
- Experience leading software engineering teams: overseeing delivery,allocatingresources 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 ondemonstrateddeployment experience and outcome ownership, not CV pattern matching
- People lead responsibilities: experience managing, developing, and performance-managing a team of engineers; setting individual development plans and conducting career conversations
Vacancy posted 8 days ago
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