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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # AI Solution Engineer - **Company:** Accenture - **Location:** Atlanta, GA, United States - **Experience:** Experienced - **Salary:** $70,350.0 - $196,000.0 - **Contract:** Permanent contract - **Skills:** AI Evaluation, Application Programming Interfaces (APIs), Artificial Intelligence, User Authentication, System Configuration, Data Flow Control, JSON, Microsoft Copilot, Workflow Management Systems, Data Processing, Scripting, Enterprise Software Applications, Retrieval-Augmented Generation, Large Language Models, Prompt Engineering, Generative AI, Agentic-AI, AI Platforms, Claude, Invoking Functions, Google Gemini, Restful APIs, Model Context Protocol, GPT - **Published:** October 23, 2026 - **Apply:** https://www.atlantacareerpath.com/job.asp?id=3466658805&tx=FJ10602LFU&pt=1&aff=0B19D771-A501-4A5E-8338-2A822B784D54&utm_source=Job%20Feed&utm_medium=textkernel&utm_campaign=DE&utm_term=0B19D771-A501-4A5E-8338-2A822B784D54 ## About the Role * Minimum of 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. * 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 This role is full-time in office 5 days a week in Atlanta, GA. ## Description * Partner with sales teams throughout the customer journey, leading technical discovery and clarifying the customer's business context, workflows, technology landscape, data, security requirements and integration dependencies. * Translate customer needs into practical solution designs using large language models, APIs, retrieval-augmented generation, tool calling, agentic workflows and connections to enterprise systems. * Recommend appropriate architecture patterns, configuration options and implementation approaches. * Advise customers on API integration, including authentication, rate limits, endpoints, performance considerations and data-flow design. * Help customers identify where LLM-based solutions are a strong fit and where conventional software or automation may be more appropriate. * Explain design trade-offs involving accuracy, grounding, security, privacy, latency, cost and operational support. * Develop demonstrations that test customer use cases and show a credible path to implementation Security & Compliance Support * Lead conversations around security posture, including data handling, encryption, authentication, access control, and compliance standards. * Respond to customer security questionnaires and assist with risk assessments, with support from internal security teams as needed. * Communicate how the platform aligns with enterprise-grade security practices and regulatory requirements. Solution Design & Consultation * Partner with sales, product, and engineering to shape solution proposals that align with technical feasibility and customer value. * Document recommended architectures, configuration steps, and onboarding plans. * Identify potential technical blockers early and provide mitigation strategies. Cross-Functional Collaboration * Work closely with Product and Engineering teams to escalate technical issues, influence roadmap, and share customer insights. * Support Customer Success teams during the early post-sale phase to ensure smooth technical handoff and implementation readiness. * Contribute to internal knowledge bases, FAQs, and solution playbooks to scale repeatable technical motions