As an AI LLM Technology Architecture Manager at Accenture, you will be responsible for leading the design and rollout of autonomous AI solutions built on agentic architectures to solve complex business problems. Your role will involve building scalable and intelligent agents powered by generative AI, integrating these systems with enterprise platforms, and collaborating with cross-functional teams. You will ensure that your solutions align with client objectives, manage deployments in dynamic environments, mentor junior colleagues, contribute to strategic direction, and oversee projects to ensure ethical, secure, and efficient AI implementations. **Key Responsibilities:**
Work with generative AI technologies such as large language models (LLMs), embeddings, retrieval-augmented generation (RAG), prompt engineering, and autonomous agents. - Design and implement multi-agent systems to address complex, multi-step problems using collaborative approaches. - Deploy scalable AI solutions leveraging leading cloud platforms like AWS, Azure, and Google Cloud, integrating with APIs and external tools. - Apply software engineering best practices, including version control (Git), CI/CD pipelines, and containerization with Docker and Kubernetes. - Incorporate ethical AI principles, bias mitigation strategies, and security best practices into the design and deployment of autonomous systems. - Lead AI projects through all phases: requirements gathering, architecture design, implementation, and performance optimization. **Qualifications Required:**
Bachelor's degree in Computer Science, Artificial Intelligence, Machine Learning, Data Science, or a related field is required. - Master's degree in Machine Learning, AI, or a quantitative discipline is preferred. - Relevant certifications such as AWS Certified Machine Learning Specialty, Google Professional Machine Learning Engineer, or equivalent are considered advantageous. At Accenture, we are a global professional services company with expertise in digital, cloud, and security solutions. With a workforce of 784,000 individuals across more than 120 countries, we deliver technology-driven results and value to our clients, shareholders, partners, and communities. Embracing change and innovation, we strive for shared success through our specialized skills and commitment to excellence. Visit us at www.accenture.com. As an AI LLM Technology Architecture Manager at Accenture, you will be responsible for leading the design and rollout of autonomous AI solutions built on agentic architectures to solve complex business problems. Your role will involve building scalable and intelligent agents powered by generative AI, integrating these systems with enterprise platforms, and collaborating with cross-functional teams. You will ensure that your solutions align with client objectives, manage deployments in dynamic environments, mentor junior colleagues, contribute to strategic direction, and oversee projects to ensure ethical, secure, and efficient AI implementations. **Key Responsibilities:**
Work with generative AI technologies such as large language models (LLMs), embeddings, retrieval-augmented generation (RAG), prompt engineering, and autonomous agents. - Design and implement multi-agent systems to address complex, multi-step problems using collaborative approaches. - Deploy scalable AI solutions leveraging leading cloud platforms like AWS, Azure, and Google Cloud, integrating with APIs and external tools. - Apply software engineering best practices, including version control (Git), CI/CD pipelines, and containerization with Docker and Kubernetes. - Incorporate ethical AI principles, bias mitigation strategies, and security best practices into the design and deployment of autonomous systems. - Lead AI projects through all phases: requirements gathering, architecture design, implementation, and performance optimization. **Qualifications Required:**
Bachelor's degree in Computer Science, Artificial Intelligence, Machine Learning, Data Science, or a related field is required. - Master's degree in Machine Learning, AI, or a quantitative discipline is preferred. - Relevant certifications such as AWS Certified Machine Learning Specialty, Google Professional Machine Learning Engineer, or equivalent are considered advantageous. At Accenture, we are a global professional services company with expertise in digital, cloud, and security solutions. With a workforce of 784,000 individuals across more than 120 countries, we deliver technology-driven results and value to our clients, shareholders, partners, and communities. Embracing change and innovation, we strive for shared success through our specialized skills and commitment to excellence. Visit us at www.accenture.com.
