AI Architect and Complex Delivery Lead

Qualifications

• 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)
• 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
• 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

Benefits

• 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
• Colorado $163,000 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

Responsibilities

• 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

Full Description

We Are:

Accenture is a global professional services company with leading capabilities in digital, cloud and security.

Combining unmatched experience and specialized skills across more than 40 industries, we offer Strategy and Consulting, Interactive, Technology and Operations services—all powered by the world’s largest network of Advanced Technology and Intelligent Operations centers.

Our 700,000people deliver on the promise of technology and human ingenuity every day, serving clients in more than 120 countries.

We embrace the power of change to create value and shared success for our clients, people, shareholders, partners and communities.

Visit us at www.accenture.com.

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

Requesting an Accommodation

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If you would like to be considered for employment opportunities with Accenture and have accommodation needs such as for a disability or religious observance, please call us toll free at 1 (877) 889-9009 or send us an email or speak with your recruiter.

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For details, view a copy of the Accenture Equal Opportunity Statement

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Accenture is committed to providing veteran employment opportunities to our service men and women.

Other Employment Statements

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.

Candidates who are currently employed by a client of Accenture or an affiliated Accenture business may not be eligible for consideration.

Job candidates will not be obligated to disclose sealed or expunged records of conviction or arrest as part of the hiring process.

Further, at Accenture a criminal conviction history is not an absolute bar to employment.

The Company will not discharge or in any other manner discriminate against employees or applicants because they have inquired about, discussed, or disclosed their own pay or the pay of another employee or applicant.

Additionally, employees who have access to the compensation information of other employees or applicants as a part of their essential job functions cannot disclose the pay of other employees or applicants to individuals who do not otherwise have access to compensation information, unless the disclosure is (a) in response to a formal complaint or charge, (b) in furtherance of an investigation, proceeding, hearing, or action, including an investigation conducted by the employer, or (c) consistent with the Company's legal duty to furnish information.

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