Accenture is hiring a Sr. Applied AI Engineer to support enterprise pre-sales and architecture efforts for Claude and Codex adoption and deployment.

Collaborate with account executives to understand customer needs and translate them into technical solutions aligned to business objectives
Act as the primary technical advisor for enterprise customers across the Claude adoption lifecycle, from discovery and initial evaluation through deployment; coordinate across internal teams and stakeholders to drive customer outcomes
Create and deliver technical content for multiple audiences, including engineering and development deep dives, executive/business value discussions, and UI/UX-focused conversations with designers
Design evaluation frameworks (evals) to measure Claude performance for customer use cases; apply advanced evaluation methodologies and code reviews to support model robustness, safety, fairness, and reduced hallucination risk
Define, evaluate, and optimize AI system architectures using relevant frameworks and best practices; guide integration of AI into existing technology stacks
Build, support, and maintain scalable machine learning infrastructure, including distributed training pipelines, and ensure smooth integration with APIs and tools
Document technical architecture, methodologies, and innovations for knowledge transfer and continuous improvement
Identify recurring integration patterns and share insights with Accenture Product and Engineering teams
Stay current on the latest LLM capabilities and implementation patterns

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

Experience working with enterprise customers and navigating complex buying cycles with multiple stakeholders
Strong relationship-building and ability to communicate technical concepts to diverse audiences, including C-suite executives, engineering and IT teams, and business stakeholders
Interest in using technology in a safe and beneficial way that advances responsible AI systems
Experience collaborating cross-organizationally, managing 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 creating value-justification frameworks for AI solutions, including cost estimation, ROI calculation, and trade-off analysis
Experience building AI solutions using Model Context Protocol (MCP), agent-to-agent protocols, and evolving agent standards
Experience developing applications for both mobile and web platforms
Familiarity with common LLM frameworks and tools, or background in machine learning or data science
Comfort with Python for prototyping and customer-facing technical work
Enjoys teaching, mentoring, and helping others succeed, with a passion for safe and beneficial technology

Travel may be required: 0 to 100% depending on business need and client requirements

Location: Scottsdale, AZ (onsite)

Compensation: USD 87,400 - 293,800 per year

Experience minimum: 1 year

Education: Bachelor's degree or equivalent

Sr. Applied AI Engineer (Claude/Codex)

Job Description