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: 
Architect and design enterprise-grade Agentic AI platforms for our clients and seamlessly integrating that into their existing data & ai landscape, develop implementation roadmap and plans
Design full stack of reusable capabilities and service required in such an enterprise platform to build end-to-end Agentic AI applications, supporting functional use cases
Perform architectural comparisons and make decisions about the right technologies and frameworks, spanning open source and commercials products, to be used for these capabilities
Design solutions for operationalizing large-scale deployment, observability, governance and monitoring of AI agents in the enterprise
Design technical solutions for management of Responsible AI and security control associated with AI agents;  define and build relevant technical controls and measures
Design reusable frameworks for tuning, evaluating and optimizing performance of AI agents
Design reusable solutions and frameworks for foundation model customization lifecycle stages like evaluation, optimization, deployments
Design testing frameworks for Agentic AI components and applications
Design and enhance the secure data foundation required to operate Agentic AI solutions, seamlessly integrated into organization’s existing data landscape
Guide and work closely with teams as the technical SME during implementation phase and ensure success by assisting in troubleshooting, reviews, problem resolution, workarounds
Conduct architectural discussions and workshops with client’s technology and AI leaders about the applicable solutions and technologies
Develop and provide cost estimates of different architectural options to clients and iterate different optimizations per client’s needs
Demonstrate and establish technical value proposition of Accenture’s AI solutions and assets in a client landscape of technologies, where appropriate 
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.
Collaboratively work with pre-sales leads, mobilization leads, solution leads and delivery leads during a client engagement lifecycle.
Estimate cost of using LLMs in different forms for business use cases and the viability, develop cost models for different usage patterns.
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 extensive set of blueprints covering runtime, security, devops, infrastructure architectures of Agentic AI platform and applications
Create and maintain comprehensive technical documentation that comprehensibly captures the intricate details of the language model, facilitating seamless understanding, efficient troubleshooting, and future development.
Travel may be required for this role.  The amount of travel will vary from 0 to 100% depending on business need and client requirements.