AI Solution Engineer

Overview As an AI Solution Engineer at Accenture, you engage SMB clients to translate business needs into practical AI solutions that can be integrated, tested, and deployed. You will work at pace with sales and a solution engineering squad, moving from discovery through technical validation to early onboarding. You combine advisory client engagement with hands-on design, explaining complex tech and prototyping ideas to enable confident AI adoption. You’ll be at the forefront of shaping impactful, enterprise-ready AI solutions within a collaborative, security-conscious environment. ResponsibilitiesLead technical discovery with customers, clarifying business context, workflows, data, security and integration needsTranslate customer requirements into practical AI solution designs using LLMs, APIs, retrieval-augmented generation, tool calls, and enterprise connectionsAdvise on architecture patterns, configuration, and implementation approachesGuide API integration considerations: authentication, rate limits, endpoints, data flow, performanceAssess where LLM-based solutions fit and where traditional software or automation is preferableDevelop demonstrations and proofs-of-concept to show a credible path to implementationLead security posture conversations, respond to questionnaires, and assist risk assessmentsDocument architectures, configuration steps, and onboarding plansIdentify blockers early and propose mitigationsCollaborate with Product and Engineering to escalate issues and influence roadmapsSupport Customer Success during early post-sale handoff and knowledge sharing Key requirementsMinimum 3 years experience in solutions consulting, sales engineering, solution architecture, or technical account managementHands-on experience building or evaluating generative AI solutions in enterprise settingsKnowledge of leading AI platforms such as ChatGPT, Claude, Gemini, or Microsoft CopilotExperience with LLM APIs, prompt design, tool calling, retrieval-augmented generation, embeddingsExperience designing AI solutions that securely connect with enterprise apps and data sourcesUnderstanding of LLM limitations, grounding, evaluation, and human oversight for qualityAbility to explain AI concepts and architectural choices to technical and non-technical stakeholdersExperience prototyping agentic workflows using tools or connectorsFamiliarity with Model Context Protocol and AI evaluation, guardrails, monitoringKnowledge of REST APIs, authentication patterns, integration workflow design, and error handlingTechnical literacy with scripting, JSON payloads, and basic troubleshootingKnowledge of SOC2, ISO 27001, GDPR and enterprise security standardsBackground working with SMBs or high-velocity sales teamsThis role is in-office in Atlanta, GAStrong communication and storytelling to explain complex tech to diverse stakeholdersCollaborative, cross-functional mindsetCustomer focus with sense of urgency and accountabilityChatGPT, Claude, Gemini, Microsoft CopilotLLM APIs, prompt design, structured outputsTool calling, retrieval-augmented generation, embeddings