Sr. Applied AI Engineer (Claude​/Codex

Accenture is seeking a senior Applied AI Engineer to help large enterprises evaluate and adopt Claude and Codex. In this onsite role in Scottsdale, AZ, you will act as a pre-sales architect and technical advisor, partnering across sales, product, and engineering to move from technical discovery to evaluation and deployment, with an emphasis on safety and reliability.

• Serve as a technical advisor to enterprise customers through their Claude adoption journey, coordinating across teams and stakeholders from discovery and initial evaluation to deployment.
• Support account teams by translating customer requirements into scalable technical solutions aligned with business objectives.
• Create and deliver technical content for multiple audiences, including engineering and development teams, executives, and UI/UX-focused stakeholders.

• Work with account executives to understand customer needs in depth and map them to technical implementation.
• Develop evaluation frameworks (evals) to measure Claude performance for specific use cases, using advanced evaluation methodologies and code reviews to address robustness, safety, fairness, and minimized hallucination risk.
• Define, evaluate, and optimize AI system architectures using relevant frameworks and best practices, and guide integration into existing technology stacks.
• Build, support, and maintain scalable machine learning infrastructure, including distributed training pipelines and integration with APIs and tools.
• Document technical architecture, methodologies, and innovations for knowledge transfer and continuous improvement.
• Identify common integration patterns and share insights with Accenture’s Product and Engineering teams.
• Maintain strong knowledge of the latest developments in LLM capabilities and implementation patterns.

• Minimum 1 year of demonstrated expertise designing and building resilient AI systems or products using Claude/Codex, including controls and guardrails, context engineering, evals, CI/CD, and production best practices such as tracing, logging, and unit testing.
• Minimum 5 years of experience in technical customer-facing roles such as Solutions Architect, Sales Engineer, or Technical Account Manager.
• Minimum 3 years of experience leading a team or contributing to team management, preferably in AI-driven project environments.
• Minimum 3 years of AI engineering experience building applications or products, with understanding of fine-tuning, prompt engineering, and performance optimization (token utilization, latency).
• Minimum 5 years of experience in engineering teams with one or more programming languages and frameworks (Python, Java, C, Go, etc.), plus mastery of one or more AI tools such as Claude, Codex, Antigravity, Gemini, etc.
• Bachelor’s degree or equivalent, with minimum 12 years work experience (or Associate’s degree with minimum 6 years work experience).

• Claude, Codex, Antigravity, Gemini
• Python, Java, C, Go
• CI/CD, APIs, tracing, logging, unit testing
• Fine-tuning, prompt engineering, token utilization, latency
• Distributed training pipelines

• Location:
  
  Scottsdale, AZ (onsite)
• Salary range: USD 87, per year

• Medical, dental, vision, life, and long-term disability coverage
• 401(k) plan
• Bonus opportunities
• Paid holidays
• Paid time off

• Experience working with enterprise customers and navigating complex buying cycles with multiple stakeholders.
• Strong ability to build relationships and communicate technical concepts to diverse audiences, including C-suite executives, engineering and IT teams, and business stakeholders.
• Passion for using technology in ways that are safe and beneficial, advancing responsible AI systems.
• Experience collaborating across organizations, working through trade-offs, and balancing competing priorities.
• Experience training, fine-tuning, and evaluating LLMs and multimodal foundation models using advanced techniques such as self-supervised and transfer learning.
• Experience designing value-justification frameworks for AI solutions, including cost estimation, ROI calculation, and trade-off analysis.
• Experience building AI solutions that leverage Model Context Protocol (MCP), agent-to-agent protocols, and evolving agent standards.
• Experience developing applications for mobile and web platforms.
• Familiarity with common LLM frameworks and tools, or a background in machine learning or data science.
• Comfort with Python for prototyping and customer-facing technical work.
• Enjoy teaching, mentoring, and helping others succeed, with a focus on safe and beneficial technology.

• Travel may be required; the amount can range from 0 to 100% based on business needs and client requirements.