AI Architect and Complex Delivery Lead

AI Associate Director in Resources Utilities Technology Delivery Lead

Lead and grow high-performing delivery teams and 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). Build collaborative and inclusive delivery cultures that reward experimentation and continuous improvement.

Lead enterprise AI delivery at scale and own end-to-end delivery for AI, GenAI, and agentic AI programs across cloud platforms (including Azure, Databricks, Synapse, Fabric). Lead multi-team engineering execution across distributed, offshore, and nearshore delivery hubs. Establish delivery governance, sprint cadence, KPI tracking, dependency management, and quality assurance. Bring AI-first delivery patterns rapid prototyping, autonomous testing agents, AI-accelerated development tooling into real-world client environments.

Translate business requirements into actionable GenAI and agentic AI architectures. 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. Utilize modern DevSecOps, CI / CD, IaC (Terraform), and API-first engineering to build production-ready platforms.

Shape AI delivery roadmaps, sequencing of use cases, backlog structures, and value realization plans. Engage C-suite and technology leaders as a trusted advisor on AI platform strategy, engineering tradeoffs, and architecture decisions. Introduce engineering accelerators (Cursor, Copilot, v0.dev, AI-driven documentation / testing) to increase velocity and reduce cycle time. Bring startup-style delivery behaviors short-cycle validation, iterative build, rapid MVP definition into enterprise-scale programs.

Support pre-sales, solutioning, and market growth in resources with a focus on utilities. Shape proposals, architectures, and delivery models for major AI and GenAI pursuits. Provide thought leadership, demos, and proof-of-concepts showcasing emerging AI patterns (cloud-scale and edge AI). Partner with industry and functional teams to position AI-led reinvention within broader enterprise transformations. Lead capability uplift programs to grow utility-specific AI skills (e.g., grid analytics, asset intelligence, AI-enabled field operations). Travel may be required for this role. The amount of travel will vary from 0 to 100% depending on business need and client requirements.

Here's what you need : 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. 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. Bachelor's degree or equivalent (12 years) work experience (If an associate degree with 6 years of work experience).

Nice to have : Master's degree in a relevant field. Azure Architecture or AI Engineer certifications. Industry project experience across utilities, retail, manufacturing, government, or financial services. Engineering experience with AI-driven DevEx tooling (Copilot, Cursor, v0.dev) and edge / containerized AI. Demonstrated thought leadership or published innovation work.

Compensation at Accenture varies depending on a wide array of factors, which may include but are not limited to the specific office location, role, skill set, and level of experience. As required by local law, Accenture provides a reasonable range of compensation for roles that may be hired as set forth below. Role location annual salary range :

California $163,000 to $413,600

Cleveland $150,900 to $330,900

Colorado $163,000 to $357,400

District of Columbia $173,500 to $380,500

Illinois $150,900 to $357,400

Maryland $163,000 to $357,400

Massachusetts $163,000 to $380,500

Minnesota $163,000 to $357,400

New York / New Jersey $150,900 to $413,600

Washington $173,500 to $380,500

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