About the position
The beginning of a new Data & AI decade that will reshape work and society has begun. Accenture is stepping boldly into this future with a clear strategy and purpose: to help clients optimize and reinvent their business with data & AI - backed by a $3B investment and commitment to our people to do industry-defining work. With over 45,000 professionals dedicated to Data & AI, Accenture's Data & AI organization brings together our Experienced Innovation, Strategic Investment, Exceptional Talent, and Power Ecosystem. As an Artificial Intelligence and Large Language Model Architect, you will play a pivotal role in formulating real-world problems into practical, efficient, and scalable AI and Machine Learning solutions. You will be responsible for developing and implementing cutting-edge artificial intelligence solutions that drive innovation and enhance performance. You will collaborate with cross-functional teams and leverage your expertise in machine learning, deep learning, and data analysis to solve complex problems and deliver impactful AI-driven solutions.
Responsibilities
- Designing end-to-end Agentic AI products, applications and solutions for specific business needs and provide implementation guidance during delivery.
- Architecting enterprise-class AI platforms, focused on decision-making for choosing the right framework, governance, and operations to ensure safety and security at a large scale.
- Participate in and facilitate high-level client discussions and influence executive decisions around design, architecture, operationalization, and delivery of complex Agentic AI solutions.
- Collaboratively work with functional experts and business leaders for designing and operationalizing Agentic AI solutions.
- Manage, scale, and monitor AI agents in a platform, rather than for specific use cases.
- Leverage, customize and implement Gen AI models, algorithms, and methodologies to improve the overall quality of Gen AI products, applications and systems.
- Analyze and evaluate the performance of Gen AI systems and provide design recommendations.
- Estimate the effort and time required for deploying an end-to-end solution using LLMs.
- Estimate cost of using LLMs in different forms for business use cases and the viability, develop cost models for different usage patterns.
- Design and prototype reusable components for LLM based solution patterns.
- Architect components of an LLM solution to address Responsible AI & Security.
- Design LLM Ops solutions for large scale operationalization.
- Collaborate seamlessly with diverse, cross-functional teams to accurately identify and prioritize requirements, ensuring that the language model meets the needs and expectations of various stakeholders.
- Create and maintain comprehensive technical documentation that captures the intricate details of the language model, facilitating seamless understanding, efficient troubleshooting, and future development.
- Harness the power of transformer architecture to optimize the language model's performance and efficiency.
- Exploiting the transformative capabilities of transformer architectures to process and reshape vast volumes of data, empowering the language model to achieve unprecedented levels of accuracy and versatility.
Requirements
- Minimum of 6 years in engineering, machine learning, deep learning and NLP solutions and applications.
- Minimum of 6 years of experience in designing & deploying AI / ML solutions using at least one cloud vendor.
- Minimum of 1 year of experience in implementing large-scale Agentic AI / Generative AI solutions utilizing at least one cloud platform (e.g. AWS, Azure, GCP).
- Minimum of 1 year of experience architecting and operationalizing enterprise level Agentic AI platforms utilizing at least one cloud platform (e.g. AWS, Azure, GCP).
- Bachelor's degree or equivalent work experience (minimum of 12 years), or an associate degree with a minimum of 6 years of equivalent work experience.
Nice-to-haves
- Hands-on involvement with speech-to-text, text-to-speech, and chatbot technologies.
- Experience with NVIDIA's AI technologies and their application in creating solutions, as well as experience architecting and implementing Sovereign AI solutions.
