全职 Gen AI Presales Solution Architect (CL5) 工作, 薪水, Accenture 公司招聘中 - Ricebowl

About the Role

Join Accenture's Data & AI practice to help clients accelerate business reinvention through AI, Generative AI, and Agentic solutions. As a Gen AI Presales Solution Architect, you will lead solution development for large-scale opportunities, translating business challenges into scalable technology architectures while bridging sales, solutioning, and delivery teams.

Key Responsibilities

• Lead end-to-end AI and Gen AI solution architecture for client pursuits, RFPs, and strategic opportunities.
• Translate business objectives into scalable technology solutions across Data, AI, Gen AI, Agents, and cloud platforms.
• Define target architectures, solution roadmaps, and operating models for AI-enabled transformations.
• Evaluate and recommend appropriate AI approaches, including traditional ML, modern AI stacks, LLMs, RAG, Agentic AI, MCP, A2A, and related technologies.
• Develop effort estimates, delivery models, staffing plans, and commercial solution constructs aligned to client requirements.
• Collaborate with global sales, delivery, and capability teams to validate solution designs and implementation approaches.
• Present and defend solution strategies to senior client stakeholders and internal leadership.
• Support seamless transition from sales to delivery following deal closure.

Required Qualifications

• Minimum 12 years of experience in AI, Data, Analytics, or related technology consulting, delivery, or presales roles.
• Demonstrated experience designing and solutioning AI and Generative AI applications in enterprise environments.
• Strong understanding of modern AI architectures, including LLMs, vector databases, knowledge retrieval, and agent-based solutions.
• Experience with at least one major cloud platform (Microsoft Azure, AWS, or Google Cloud).
• Ability to assess business processes and design AI-powered and agentic workflows that deliver measurable outcomes.
• Strong understanding of AI economics, including token consumption, scalability considerations, and cost optimization strategies.
• Excellent stakeholder management, communication, and presentation skills.
• Advanced PowerPoint skills and proficiency in Microsoft Excel.

Preferred Qualifications

• Experience in Systems Integration (SI) engagements and large-scale application modernization programs.
• Knowledge of emerging AI standards, protocols, and ecosystem trends.
• Experience preparing client proposals, Statements of Work (SOWs), and commercial responses.
• Prior client-facing consulting and executive stakeholder engagement experience.
• Experience working across global and cross-functional teams.