We Are:

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.
You Are:
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.
Position
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.
As a technical expert and pre-sales professional in this field, you will participate in and facilitate high-level client discussions and be able to 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.
Understanding how to 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 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 comprehensibly captures the intricate details of the language model, facilitating seamless understanding, efficient troubleshooting, and future development.
Harness the power of transformer architecture, a cutting-edge deep learning model widely employed in natural language processing and computer vision, to optimize the language model's performance and efficiency.
Exploiting the transformative capabilities of transformer architectures to seamlessly process and reshape vast volumes of data, empowering the language model to achieve unprecedented levels of accuracy and versatility.
Travel may be required for this role.  The amount of travel will vary from 0 to 100% depending on business need and client requirements.