Lead enterprise AI architecture and governance as an Accenture deployment engineer, spanning identity, data, security, and multi-platform integration. Work directly with clients. This senior position converts strategic intent into scalable AI capabilities across real organizational environments. You will guide platform selection, architecture, lifecycle management, and adoption while collaborating with CTO, CFO, and CISO stakeholders. The work emphasizes production reliability, measurable value, and enterprise reinvention. Key Responsibilities:
Translate executive strategy into production AI systems Establish enterprise AI architecture and governance standards Manage identity, data, security, and lifecycle considerations Lead executive workshops and cross-practice architecture reviews Own client relationships with CTO, CFO, and CISO leaders Requirements:
10–15 years building APIs, microservices, containers, and serverless systems Experience defining enterprise AI architecture standards Experience with OpenAI, Claude, Vertex AI, or open-source models Experience managing multi-provider AI pipeline abstraction layers Experience engaging executives on AI strategy and investment Bring enterprise architecture, AI platform, governance, and executive engagement expertise to Accenture’s client deployments.
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Enterprise AI Deployment Architect employer: Accenture PLC
Accenture Technology is an exceptional employer, offering a dynamic work culture that fosters innovation and collaboration. As part of the Cloud First – Software Development team, you will have access to cutting-edge technologies and opportunities for professional growth while working on impactful AI-enabled solutions for major clients in the transportation sector. With a focus on employee development and a commitment to delivering high-quality applications, Accenture provides a supportive environment where your contributions are valued and recognized.
