AI Architect and Complex Delivery Lead

We Are:
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You Are: An AI Associate Director in Resources Utilities Technology Delivery Lead.

The Work:

Lead and Grow High-Performing Delivery Teams

• 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

• 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.

Architect and Implement Scalable AI Solutions

• 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.

Drive Technology Strategy and Execution Excellence

• 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.
We accept applications on an on-going basis and there is no fixed deadline to apply.

Information on benefits is here.

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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