AI Solution Engineering Team Lead

Accenture • Atlanta, GA

6d • Onsite

About The Position

The AI Solution Engineering Team Lead is responsible for driving revenue growth and accelerating enterprise adoption of advanced AI platform APIs for a strategic AI client. This role combines sales leadership, disciplined pipeline governance, and consultative, value-based selling across complex enterprise environments. Working with other TL’s and Sales Managers to drive a high-performance sales culture. You will lead a team of Solution Engineers across SMB, ensuring structured execution, productivity discipline, and consistent quota attainment. Success in this role requires strong commercial leadership, technical fluency, operational rigor, and the ability to drive performance through clear KPIs and compliance standards. You will act as both a people leader and executive sponsor on strategic opportunities, ensuring consistent delivery across revenue, activity, quality, and forecast accuracy metrics.

Requirements

• 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.

Nice To Haves

• Hands-on experience building, configuring, or evaluating generative AI solutions through enterprise work, pre-sales prototypes or personal projects.
• Practical knowledge of one or more leading AI platforms and assistants, such as ChatGPT, Claude, Gemini or Microsoft Copilot.
• Working knowledge of LLM APIs, prompt design, structured outputs, tool or function calling, retrieval-augmented generation, embeddings and retrieval techniques.
• Experience designing AI solutions that connect securely with enterprise applications, data sources and existing business processes.
• Understanding of where LLM-based applications perform well, their common limitations, and how grounding, evaluation and human oversight can improve solution quality.
• Ability to explain AI concepts and architectural choices to technical and non-technical stakeholders.
• Experience designing or prototyping agentic workflows, including the use of tools, connectors or agent frameworks.
• Familiarity with emerging integration standards such as Model Context Protocol.
• Experience with AI evaluation, guardrails, monitoring or observability.
• Strong understanding of API concepts, including RESTful design, authentication patterns, integration workflow design, and common error-handling practices.
• Familiarity with scripting, JSON payloads, or light troubleshooting (not a full coding role, but technical literacy expected).
• Knowledge of SOC2, ISO 27001, GDPR, and enterprise security standards.
• Background working with SMBs or high-velocity sales teams

Responsibilities

• Lead, coach, and performance-manage Solution Engineers across SMB, Enterprise Qualification, and Renewals segments.
• Own team-level quota, pipeline coverage, forecast accuracy, and productivity metrics.
• Establish clear daily, weekly, and monthly performance expectations (e.g., outreach volumes, SLA adherence, pipeline progression).
• Drive structured inspection cadence including pipeline reviews, call coaching, and QA scorecard reviews.
• Ensure strong onboarding and ramp programs aligned to role-specific experience requirements.
• Drive disciplined opportunity qualification using structured methodologies (e.g., MEDDICC, BANT).
• Ensure sellers meet defined daily outreach expectations across calls, email, and sequencing tools.
• Enforce SLA responsiveness standards for inbound and customer follow-up.
• Maintain rigorous Salesforce hygiene, forecast accuracy, and clean pipeline management.
• Consistently deliver against revenue targets and team quota attainment.
• Act as executive sponsor on complex enterprise API opportunities.
• Guide commercial structuring, pricing strategy, and negotiation processes.
• Partner with Solutions Engineering to align AI capabilities with measurable business outcomes.
• Ensure compliance with responsible AI, data governance, and client risk requirements.
• Uphold QA scorecard standards across calls, documentation, and customer interactions.
• Ensure strict adherence to CRM data hygiene and reporting accuracy.
• Monitor compliance with outreach productivity benchmarks and SLA discipline.
• Drive accountability for audit readiness and documentation standards across the team.

Benefits

• medical, dental, vision, life, and long-term disability coverage
• a 401(k) plan
• bonus opportunities
• paid holidays
• paid time off

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level
• Education Level: No Education Listed