AI Solution Engineer

Accenture

Confirmed live yesterday High trust

Quick summary

Work type
On-site
Location
Atlanta, GA
Salary
$70,350–$196,000 / yr
Posted
7 days ago
Freshness
Confirmed live yesterday

Market check

Salary context

Below market

How this pay compares to similar roles

Similar $184k
This role $133k
$52k most similar roles pay here $244k

This role pays less than 86% of similar roles. Most pay $149,331–$219,256 — the shaded band above. At the midpoint, this role pays about $133k versus about $184k 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.

Most-posted roles

View all roles at Accenture

At a glance

TL;DR · AI Solution Engineer

As an AI Solution Engineer, you will join a team dedicated to helping small and mid-sized businesses transform generative AI opportunities into functional solutions. You will work at the front line of growth by engaging customers to understand their business needs and technical requirements while designing practical architectures for integration and deployment. Your daily responsibilities include leading technical discovery, prototyping ideas, and managing security compliance conversations regarding data handling and encryption. You will build solutions utilizing large language models, APIs, retrieval-augmented generation, tool calling, and agentic workflows. The role requires proficiency in LLM platforms like ChatGPT or Claude, as well as knowledge of prompt design, embeddings, and RESTful API integration. You will solve the challenge of moving customers from initial interest to confident adoption by navigating trade-offs between accuracy, latency, cost, and security.

What you'll do

  • Lead technical discovery sessions to understand customer business workflows, data requirements, and integration dependencies.
  • Translate customer needs into practical solution designs using LLMs, RAG, tool calling, and agentic workflows.
  • Advise customers on API integrations including authentication, rate limits, and performance considerations.
  • Evaluate where LLM solutions are appropriate versus traditional software or automation based on cost and accuracy trade-offs.
  • Develop demonstrations to test customer use cases and establish a credible path to implementation.
  • Lead conversations regarding security posture, data handling, and compliance standards for enterprise clients.
  • Document recommended architectures, configuration steps, and onboarding plans for the sales and product teams.
  • Contribute to internal knowledge bases and solution playbooks to scale repeatable technical motions.

What we're looking for

  • Minimum of 3 years of experience in solutions consulting, sales engineering, solution architecture, or technical account management.
  • Experience building, configuring, or evaluating generative AI solutions through enterprise work, pre-sales prototypes, or personal projects.
  • Practical knowledge of leading AI platforms such as ChatGPT, Claude, Gemini, or Microsoft Copilot.
  • Working knowledge of LLM APIs, prompt design, structured outputs, tool/function calling, RAG, embeddings, and retrieval techniques.
  • Experience designing AI solutions that connect securely with enterprise applications, data sources, and business processes.
  • Ability to explain complex AI concepts and architectural choices to both technical and non-technical stakeholders.
  • Familiarity with API concepts including RESTful design, authentication patterns, and integration workflow design.
  • Knowledge of security standards such as SOC2, ISO 27001, and GDPR.

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