Accenture is looking to help clients optimize and reinvent their business with data & AI by designing, building, and deploying next-generation AI systems powered by Large Language Models (LLMs).
Requirements
- Minimum of 5 years of demonstrated expertise in successfully designing and building resilient AI systems or products, using Evals in AI systems, Continuous Integration, Continuous Delivery, Pair Programming, and Test-Driven Development with the ability to author robust Unit, Integration, and Functional Tests, ensuring software quality at all stages of the development process.
- Minimum 5 years of experience designing and creating AI Solutions using design patterns like retrieval augmentation generation (RAG) and handling data pipelines.
- Minimum of 5 years of experience in Engineering teams with one or more programming languages and frameworks, such as Python, Javascript, Java, Spring or GoLang, showcasing a strong command over the technical foundations and mastery of one or more AI Frameworks like Autogen, LangGraph or Semantic Kernel.
- Minimum of 5 years of experience working with application services from at least one public cloud (AWS, GCP, Azure, etc.)
- Minimum of 4 years of experience working in AI Engineering for business applications or building products with strong understanding with fine tuning & prompt engineering.
- Experience training, fine-tuning, and evaluating LLMs and multimodal foundation models using advanced techniques such as self-supervised and transfer learning.
- Built AI solution that utilize Model Context Protocol, Agent to Agent protocols
Responsibilities
- Design, develop, and optimize AI prompts and next-generation applications powered by Large Language Models (LLMs).
- Architect and implement generative agent systems using frameworks for multi-model coordination to tackle complex tasks.
- Develop application and component strategies, overseeing both user experience and backend systems.
- Define, evaluate, and optimize AI system architectures, leveraging relevant frameworks and best practices.
- Conduct thorough code reviews, provide expert guidance on enhancements and issue resolution, and ensure adherence to engineering standards.
- Build and maintain scalable machine learning infrastructure, including distributed training pipelines and seamless integration with APIs.
- Apply advanced evaluation methodologies to ensure model robustness, safety, fairness, and minimize hallucination risks.
Other
- Travel may be required for this role. The amount of travel will vary from 0 to 100% depending on business need and client requirements.
- Minimum of 3 years of experience leading a team or being part of team management, preferably in AI-driven project environments.
- Collaborate closely with cross-functional teams—including business leaders, engineers, architects, and designers—to align AI systems with business objectives.
- Bachelor's degree or equivalent (minimum 12 years) work experience. (If associate's degree, must have minimum 6 years' work experience)
- Applicants for employment in the US must have work authorization that does not now or in the future require sponsorship of a visa for employment authorization in the United States.
