2 months ago
Atlanta, GA, USAMid Level
Responsibilities
- Lead technical discovery with customers and clarify business context, workflows, technology landscapes, data, security requirements, and integration dependencies.
- Design practical AI solutions using large language models, APIs, retrieval-augmented generation, tool calling, agentic workflows, and enterprise system connections.
- Recommend architecture patterns, configuration options, implementation approaches, and API integration designs.
- Create demonstrations and prototypes that validate customer use cases and establish a path to implementation.
- Advise on security posture, data handling, encryption, authentication, access control, compliance, and risk assessments.
- Partner with sales, product, engineering, and customer success teams on proposals, technical issue escalation, roadmap input, and early implementation handoff.
- Document architectures, configuration steps, onboarding plans, FAQs, knowledge-base content, and repeatable solution playbooks.
Requirements
- At least 3 years of experience in solutions consulting, sales engineering, solution architecture, or technical account management.
- Hands-on experience building, configuring, or evaluating generative AI solutions through enterprise work, pre-sales prototypes, or personal projects is preferred.
- Knowledge of leading AI platforms and assistants such as ChatGPT, Claude, Gemini, or Microsoft Copilot is preferred.
- Working knowledge of LLM APIs, prompt design, structured outputs, tool or function calling, retrieval-augmented generation, embeddings, and retrieval techniques is preferred.
- Experience connecting AI solutions securely with enterprise applications, data sources, and business processes is preferred.
- Understanding of LLM application strengths and limitations, grounding, evaluation, and human oversight is preferred.
- Experience designing or prototyping agentic workflows using tools, connectors, or agent frameworks is preferred.
- Familiarity with Model Context Protocol, AI evaluation, guardrails, monitoring, observability, RESTful API design, authentication patterns, integration workflows, and error handling is preferred.
- Familiarity with scripting, JSON payloads, and light troubleshooting is preferred.
- Knowledge of SOC 2, ISO 27001, GDPR, and enterprise security standards is preferred.
- Ability to explain AI concepts and architectural choices to technical and non-technical stakeholders, with experience supporting SMBs or high-velocity sales teams, is preferred.
- Applicants must have US work authorization that does not now or in the future require visa sponsorship.
Benefits
- Full-time position based in Atlanta, Georgia, with an in-office schedule five days per week.
Categories
AI ApplicationsSolutions Engineering
About Accenture
Accenture is a global professional services firm providing management consulting, systems integration and technology, cybersecurity, and business process outsourcing for enterprises and governments. It operates a services-driven model delivering projects and managed services, often with major cloud and software partners, across industries worldwide. Headquartered in Dublin and publicly traded on the NYSE (ACN), it originated as Andersen Consulting and adopted the Accenture name in 2001.