Sr. Applied AI Engineer (Claude/Codex)

We Are We are entering a new decade of Data & AI that will reshape work and society. Accenture is stepping boldly into this future with a clear strategy and purpose: to help clients optimize and reinvent their business with data and AI — backed by a $3B investment and a commitment to our people to do industry-defining work. With over 77,000 professionals dedicated to Data & AI, Accenture’s Data & AI organization is powered by experienced innovation, strategic investment, exceptional talent, and our partner ecosystem. You Are As an Applied AI team member at Accenture, you will be a Pre-Sales architect focused on becoming a trusted technical advisor helping large enterprises understand the value of Claude and paint the vision on how they can successfully integrate and deploy Claude into their technology stack. You'll combine your deep technical expertise with customer-facing skills to architect innovative LLM solutions that address complex business challenges while maintaining our high standards for safety and reliability. The Work Working closely with our Sales, Product, and Engineering teams, you'll guide customers from initial technical discovery through successful deployment. You'll leverage your expertise to help customers understand Claude's capabilities, develop evals, and design scalable architectures that maximize the value of our AI systems.

Partner with account executives to deeply understand customer requirements and translate them into technical solutions, ensuring alignment between business objectives and technical implementation Serve as the primary technical advisor to enterprise customers throughout their Claude adoption journey, from discovery to initial evaluation through deployment. You will need to coordinate internally across multiple teams & stakeholders to drive customer success Create and deliver compelling technical content tailored to different audiences — from technical deep dives for engineering & development teams to business value focused conversations with executives and UI/UX focused conversations with designers Help customers develop evaluation frameworks (evals) to measure Claude's performance for their specific use cases – apply advanced evaluation methodologies and code reviews to ensure model robustness, safety, fairness, and minimized hallucination risk Define, evaluate, and optimize AI system architectures, leveraging relevant frameworks and best practices, and guide customers in integrating AI effectively into their existing technology stack Build, support, and maintain scalable machine learning infrastructure, including distributed training pipelines and seamless and integration with APIs and tools Document technical architecture, methodologies, and innovations for effective knowledge transfer and continuous improvement. Identify common integration patterns and contribute insights back to Accenture’s Product and Engineering teams. Maintain strong knowledge of the latest developments in LLM capabilities and implementation patterns Travel may be required for this role.  The amount of travel will vary from 0 to 100% depending on business need and client requirements. Here’s What You Need Minimum of 1 year of demonstrated expertise designing and building resilient AI systems or products using Claude/codex — implementing controls and guardrails, context engineering, evals, CI/CD, and production best practices such as tracing, logging, and unit testing. Minimum of 5 years of experience in technical customer-facing roles such as Solutions Architect, Sales Engineer, or Technical Account Manager Minimum of 3 years of experience leading a team or contributing to team management, preferably in AI-driven project environments. Minimum of 3 years of experience in AI engineering, building applications or products with strong understanding of fine-tuning, prompt engineering, and performance optimization (token utilization, latency). Minimum of 5 years of experience