Senior Agentic AI Delivery Engineer

Accenture

Confirmed live yesterday High trust
Remote

Quick summary

Work type
Remote
Location
Albany, NYMilwaukee, WIDallas, TXColumbus, OHKirkland, WA
Salary
$94,400–$266,300 / yr
Posted
52 days ago
Freshness
Confirmed live yesterday

Market check

Salary context

Competitive pay

How this pay compares to similar roles

Similar $204k
This role $180k
$74k most similar roles pay here $287k

This role pays less than 62% of similar roles. Most pay $162,000–$246,150 — the shaded band above. At the midpoint, this role pays about $180k versus about $204k for comparable roles.

Based on 240 similar postings.

Employer

About Accenture

Accenture is a leading global professional services company specializing in IT, strategy, consulting, and operations, with a strong focus on digital transformation, cloud computing, and artificial intelligence.

Accenture currently has 192 open roles on FindRole.

Listed pay typically runs $94,400–$266,300 across 165 roles with salary data.

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View all roles at Accenture

At a glance

TL;DR · Senior Agentic AI Delivery Engineer

As a Google Agentic AI Delivery Senior Engineer within the Accenture Google Business Group, you will join an elite team of innovators focused on transitioning clients toward Agentic AI and Product-Led Operating Models. You will serve as a product-minded engineer, translating complex business requirements into technical designs while building, testing, and deploying agentic-first solutions on Google Cloud Platform. Your daily work involves developing multi-agent workflows, creating proof-of-concept solutions, and coaching teams on agile methodologies. To succeed, you must possess expertise in Vertex AI, Gemini models, BigQuery, Terraform, and CI/CD practices. You will solve the challenge of moving clients away from legacy mindsets toward modern software products. The role requires deep proficiency in Google Cloud technologies to deliver high-value, automated systems that leverage reasoning engines, planning, tool use, and Retrieval-Augmented Generation.

What you'll do

  • Translate client business requirements into technical design elements during discovery workshops.
  • Design, build, and deploy agentic-first solutions on Google Cloud Platform.
  • Develop proof-of-concept solutions using Vertex AI, Gemini, BigQuery, and Terraform.
  • Act as a subject matter expert to coach teams on Product Agile Operating Models.
  • Implement advanced AI features including reasoning engines, planning, and Retrieval-Augmented Generation (RAG).
  • Execute software engineering best practices including CI/CD and automated testing for secure products.
  • Serve as a technical consultant to guide team members on specific Google Cloud technologies.

What we're looking for

  • Bachelor's degree in Computer Science, Engineering, or related field, or equivalent experience (minimum 12 years).
  • Minimum of 6 years work experience if holding an Associate’s Degree.
  • Minimum of 5 years of experience in a hands-on, client-facing technology role.
  • Minimum of 5 years of experience architecting and building solutions on AWS/Azure/GCP, including at least 4 years specifically in GCP.
  • Minimum of 3 years of experience working with project team members distributed across the globe.
  • Minimum of 3 years of experience with Google Cloud technologies or specific Agentic systems implementation experience.
  • Experience with Vertex AI, Gemini models, BigQuery, Terraform, and modern CI/CD practices.
  • Multiple Google Cloud Professional certifications such as Cloud Architect, Machine Learning Engineer, or Data Engineer.

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