Accenture is looking to solve business and technical problems within the Resources Utilities sector by implementing advanced AI and GenAI solutions to improve operations, customer engagement, and overall efficiency.
Requirements
- Minimum of 10 years of experience with Microsoft cloud ecosystem: including Azure OpenAI, App Services, Functions, APIM, Entra ID, Databricks, Synapse, Fabric.
- Minimum of 10 years of experience implementing GenAI, agentic systems, RAG architectures, or multi-agent orchestration.
- Utilize modern DevSecOps, CI/CD, IaC (Terraform), and API-first engineering to build production-ready platforms.
- Bring AI-first delivery patterns — rapid prototyping, autonomous testing agents, AI-accelerated development tooling — into real-world client environments.
- Design multi-agent orchestration, RAG pipelines, vectorized retrieval layers, and AI-over-BI patterns.
- Implement secure, compliant, and responsible AI guardrails across models, data, and workflows.
- Engineering experience with AI-driven DevEx tooling (Copilot, Cursor, v0.dev) and edge/containerized AI.
Responsibilities
- Manage architects, engineers, analysts, and cross-functional squads across regions.
- Define capability uplift strategies, hands-on AI upskilling journeys, and architecture guardrails for responsible GenAI adoption.
- Provide coaching, staffing leadership, and performance management across complex engagements.
- Implement AI architectures for typical Utility use cases such as reliability prediction, grid analytics, asset health insights, field service optimization, workforce augmentation, and customer engagement automation.
- Lead delivery across multi-tower workstreams (e.g. AMI, CIS, OMS/DMS integrations, asset management, grid modernization, and enterprise data platforms).
- Own end-to-end delivery for AI, GenAI, and agentic AI programs across cloud platforms (including Azure, Databricks, Synapse, Fabric).
- Translate business requirements into actionable GenAI and agentic AI architectures.
Other
- Travel may be required for this role. The amount of travel will vary from 0 to 100% depending on business need and client requirements.
- Minimum of 20 years of experience in technology delivery, including engineering leadership, architecture, or data/AI program execution.
- Minimum of 15 years of experience in leading AI, data, or cloud platform programs with measurable outcomes.
- Bachelor’s Degree or equivalent (12 years) work experience (If an associate degree with 6 years of work experience)
- Applicants for employment in the US must have work authorization that does not now or in the future require sponsorship of a visa for employment authorization in the United States.
