Technical Delivery Lead - Applications, Google Cloud

Accenture; Walnut Creek (CA); On-site; USD 94,400 - 266,300; Full time

Job summary

Accenture Google Cloud delivers tailored data and AI engagements for mid‑market clients in the US. This role leads delivery from solution shaping to go‑live, shaping execution, and guiding offshore teams to ensure high‑impact outcomes.

You will own the engagement and collaborate with client stakeholders to drive rapid value through modern data platforms and AI capabilities.

Qualifications

• Minimum 7 years in hands‑on, client‑facing technology roles.
• Minimum 5 years architecting and delivering on Google Cloud Platform.

Responsibilities

• Own the delivery end‑to‑end from solution shaping through go‑live.
• Design the delivery approach for data and AI engagements.
• Lead the implementation and ensure production‑grade outcomes.

Skills

GKE

Apigee

CI/CD

Microservices

12‑factor

Cloud Run

Cloud Functions

Kubernetes

Data Engineering

Vertex AI

Education

Bachelor’s degree

Tools

Docker

Terraform

Jenkins

GitHub Actions

Job description

Who We Are

We are the Accenture Google Business Group (AGBG) Mid-Market team, a specialized group of engineers, architects, and builders delivering tailored Google Cloud solutions for mid-market, high-growth, and fast-paced enterprises. We partner with dynamic organizations to connect them with the right combination of Accenture solutions and Google Cloud products to accelerate business transformation and solve real-world problems, quickly. We are expanding our team to meet the unique, rapid execution needs of the mid-market segment.

The Domain

Data and AI are no longer back‑office functions—they are the engine of every modern business decision. With the arrival of agentic AI, we are entering a new era: intelligent agents that do not just analyze data but act on it—automating complex workflows, making autonomous decisions, and transforming how companies operate. Google Cloud is leading this shift with the Gemini Enterprise Agent Platform, Vertex AI, and the most powerful data stack in the industry. Our mid‑market clients need lean, agile leaders who can unlock massive amounts of untapped data and rapidly turn it into a distinct competitive advantage.

The Role

You’re the person the client trusts to make it happen.

As a Technical Delivery Lead, you own delivery from initial solution shaping through go‑live. You design the execution approach for data and AI engagements, lead the implementation, and ensure the final product fundamentally upgrades how the client leverages data and intelligent automation. You are supported by a dedicated offshore engineering team—you set the strategic direction, and they build alongside you. You are the single point of accountability for what ships.

This role is for an execution‑focused leader who takes full ownership. You hold yourself to a higher standard than anyone else would, caring deeply about delivery quality, data architecture outcomes, agent design, and speed‑to‑value for the business. You will work directly with client stakeholders, immersing yourself in their environment, understanding their fast‑evolving resource constraints, and delivering outcomes that matter in weeks, not quarters.

What You’ll Do

• Own the delivery. End‑to‑end. Scope, timeline, team structure, quality, outcome. You’re the single point of accountability the client relies on.
• Design how it gets delivered. Shape the delivery approach for application modernization engagements, define the migration waves, structure the team across workstreams, set the release cadence, and sequence the work to minimize risk and maximize velocity. Partner with solution engineers who own the technical architecture; you own how it gets built, tested, and shipped.
• Provide technical advisory across the engagement—Serve as the hands‑on expert guiding mid‑market clients through technical implementations, architectural trade‑offs, and underlying Google Cloud ecosystem services.
• Be the client’s trusted delivery partner. You’re the face of the engagement. Lead status reviews, manage expectations, navigate trade‑offs in real time, and ensure the client always knows where things stand — especially during complex modernization programs with many moving parts.
• Get solutions into clients’ hands fast. Pick up where the deal ends and make it real. Stand up the delivery, mobilize the team, and drive execution from day one — delivering proven capabilities in weeks, not quarters.
• Lead across borders. Coordinate onshore delivery leadership with offshore engineering teams. Set priorities, define workstreams, remove blockers, and keep the entire delivery machine moving at pace.
• Drive quality and outcomes. Establish delivery governance, define checkpoints, manage release quality, and ensure every engagement delivers measurable client value — from successful migrations to production‑ready platforms.

Domain Expertise

• Data Platforms & Engineering: Advanced proficiency in BigQuery, Dataflow, Pub/Sub, Cloud SQL, Spanner, and Bigtable for data migration, pipeline design, data quality governance, and lakehouse architecture modernizations.
• Analytics & Business Intelligence: Hands‑on experience executing semantic modeling, Looker deployments, connected sheets integrations, and real‑time operational dashboards.
• Artificial Intelligence & Machine Learning: Core understanding of Vertex AI, Gemini models, AutoML, custom model training, and building production‑grade MLOps deployment pipelines.
• Agentic & Generative AI Patterns: Working knowledge of modern agent orchestration patterns, including tool use, grounding mechanisms, Retrieval‑Augmented Generation (RAG), Agent Development Kit (ADK), A2A protocol, and Model Context Protocol (MCP).

What Sets You Apart

• Google Cloud Certifications: Active Professional Google Cloud certifications (specifically Professional Data Engineer, Professional Machine Learning Engineer, or Professional Cloud Architect).
• Advanced Agent Deployments: Documented hands‑on deployment experience utilizing the Gemini Enterprise Agent Platform to automate complex cross‑functional business workflows.
• Production AI Experience: A proven history of scaling live, production‑grade ML/AI systems out of the prototyping stage.
• Cross‑Functional Ecosystem Exposure: Secondary familiarity with adjacent Google domains, such as Google Enterprise for Customer Experience (GECX/CCAI), Google Security Operations, or Gemini Enterprise for Workspace.

Travel may be required for this role. The amount of travel will vary from 25% to 100% depending on business need and client requirements.

What You’ll Need

• Minimum 7 years in hands‑on, client‑facing technology roles — you’ve built and delivered, not just managed.
• Minimum 5 years architecting and delivering on Google Cloud Platform, with deep expertise in application development, modernization, and cloud‑native engineering.
• You’ve independently owned client engagements from technical design through go‑live.
• Deep hands‑on proficiency with GKE, Apigee, CI/CD pipelines, and modern application architecture — you can design a microservices platform, review a PR, and debug a broken deployment.
• Strong understanding of software engineering principles — clean code, testing strategies, observability, and operational excellence.
• Strong in both technical leadership and delivery management — architecture, scope, risk, stakeholders.
• Experience with distributed global teams and modern engineering practices.
• Clear communicator — whiteboarding with engineers or presenting to a C‑suite.
• Bachelor’s degree or equivalent (minimum 12 years) work experience. (If Associate’s Degree, must have minimum 6 years work experience)

Preferred Experience

• Bachelor’s in CS, Engineering, or related field — or 12 years equivalent experience.
• Google Cloud Professional certifications (Cloud Architect, Cloud Developer)
• Hands‑on experience with Gemini Code Assist for AI‑augmented development workflows
• Deep expertise in application modernization patterns — strangler‑fig, domain‑driven design, event sourcing
• Track record delivering large‑scale re‑platforming or re‑architecture programs on GCP
• Experience building and operating production Kubernetes platforms at scale

Domain Expertise

Primary — Applications

Domain Area

Skills & Technologies

Cloud‑Native Architecture

Microservices, event‑driven design, 12‑factor app patterns, serverless (Cloud Run, Cloud Functions)

Containers & Orchestration

Google Kubernetes Engine (GKE), Docker, Anthos, service mesh (Istio)

API & Integration

Apigee, API gateway design, event‑driven integrations, Pub/Sub

DevOps & CI/CD

Cloud Build, Jenkins, GitHub Actions, GitOps, automated testing, release management

App Modernization

Migration assessment, re‑platforming, re‑architecting, strangler‑fig patterns, legacy decomposition

AI‑Augmented Development

Gemini Code Assist for code generation, review, and developer productivity

Also Valuable

Domain Area

Skills & Technologies

Infrastructure

Networking, compute, Terraform, landing zones — tightly coupled with app delivery

Data & AI

BigQuery, Vertex AI — data services that apps consume

Customer Engagement

GECX, CCAI — application layer for customer‑facing solutions

Cybersecurity

Google Security Operations, Agentic Defense — application security, DevSecOps

Workspace

Gemini Enterprise for Workspace, Apps Script — custom integrations and automations

Benefits

Accenture offers a market competitive suite of benefits including medical, dental, vision, life, and long‑term disability coverage, a 401(k) plan, bonus opportunities, paid holidays, and paid time off.

Compensation

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 anticipate this job posting will be posted until 08/23/2026.

Role Location Annual Salary Range

• California $94,400 to $266,300
• Cleveland $87,400 to $213,000
• Colorado $94,400 to $230,000
• District of Columbia $100,500 to $245,000
• Illinois $87,400 to $230,000
• Maine $80,400 to $196,000
• Maryland $94,400 to $230,000
• Massachusetts $94,400 to $245,000
• Minnesota $94,400 to $230,000
• New York $87,400 to $266,300
• New Jersey $100,500 to $266,300
• Virginia $87,400 to $245,000
• Washington $100,500 to $245,000

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