AI Solution Engineering Team Lead

Accenture

Confirmed live today High trust

Quick summary

Work type
On-site
Location
Atlanta, GA
Salary
$73,800–$182,600 / yr
Employment
Full-time
Posted
18 days ago
Freshness
Confirmed live today

Market check

Salary context

Below market

How this pay compares to similar roles

Similar $194k
This role $128k
$54k $254k
below market most similar roles pay here above market

This role pays less than 94% of similar roles. Most pay $161,250–$227,300 — the blue band above. At the midpoint, this role pays about $128k versus about $194k 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 174 open roles on FindRole.

Listed pay typically runs $94,400–$266,300 across 128 roles with salary data.

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At a glance

TL;DR · AI Solution Engineering Team Lead

The AI Solution Engineering Team Lead manages a team of Solution Engineers to drive revenue growth and accelerate enterprise adoption of advanced AI platform APIs. This leadership role involves coaching staff across SMB and Enterprise segments, overseeing pipeline governance, and ensuring consistent quota attainment through structured execution and performance metrics. You will lead daily operations including call coaching, QA scorecard reviews, and opportunity qualification using methodologies like MEDDICC and BANT. The role requires technical fluency in LLM APIs, prompt design, retrieval-augmented generation, and embeddings. You will design AI solutions connecting to enterprise data sources while ensuring compliance with data governance and security standards like SOC2 and GDPR. Key technologies include ChatGPT, Claude, Gemini, and Microsoft Copilot, alongside experience with RESTful design and agentic workflows.

What you'll do

  • Lead, coach, and performance-manage a team of Solution Engineers across SMB and Enterprise segments.
  • Own team-level quota, pipeline coverage, forecast accuracy, and productivity metrics.
  • Establish and monitor daily, weekly, and monthly performance expectations including outreach volumes and SLA adherence.
  • Drive structured opportunity qualification using methodologies like MEDDICC and BANT.
  • Act as an executive sponsor on complex enterprise API opportunities to guide commercial structuring and pricing.
  • Ensure AI solutions align with measurable business outcomes and comply with data governance and risk requirements.
  • Maintain rigorous Salesforce hygiene and uphold QA scorecard standards for all customer interactions.
  • Conduct regular pipeline reviews, call coaching, and QA scorecard reviews to ensure operational rigor.

What we're looking for

  • Minimum of 5 years of experience in solutions consulting, sales engineering, solution architecture, or technical account management.
  • Minimum of 2 years of experience managing a team of solution architects, solution engineers, or technical account managers.
  • Hands-on experience building, configuring, or evaluating generative AI solutions through enterprise work, pre-sales prototypes, or personal projects (preferred).
  • Practical knowledge of leading AI platforms such as ChatGPT, Claude, Gemini, or Microsoft Copilot (preferred).
  • Working knowledge of LLM APIs, prompt design, RAG, embeddings, and designing AI solutions for enterprise applications (preferred).
  • Ability to explain AI concepts and architectural choices to technical and non-technical stakeholders (preferred).
  • Familiarity with scripting, JSON payloads, and knowledge of SOC2, ISO 27001, and GDPR standards (preferred).

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