<p>Job Description</p> <p>We Are:</p> <p>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.</p> <p>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.</p> <p>You Are:</p> <p>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.</p> <p>Position Responsibilities:</p> <ul> <li> <p>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</p> </li><li> <p>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</p> </li><li> <p>Perform architectural comparisons and make decisions about the right technologies and frameworks, spanning open source and commercials products, to be used for these capabilities</p> </li><li> <p>Design solutions for operationalizing large-scale deployment, observability, governance and monitoring of AI agents in the enterprise</p> </li><li> <p>Design technical solutions for management of Responsible AI and security control associated with AI agents; define and build relevant technical controls and measures</p> </li><li> <p>Design reusable frameworks for tuning, evaluating and optimizing performance of AI agents</p> </li><li> <p>Design reusable solutions and frameworks for foundation model customization lifecycle stages like evaluation, optimization, deployments</p> </li><li> <p>Design testing frameworks for Agentic AI components and applications</p> </li><li> <p>Design and enhance the secure data foundation required to operate Agentic AI solutions, seamlessly integrated into organization's existing data landscape</p> </li><li> <p>Guide and work closely with teams as the technical SME during implementation phase and ensure success by assisting in troubleshooting, reviews, problem resolution, workarounds</p> </li><li> <p>Conduct architectural discussions and workshops with client's technology and AI leaders about the applicable solutions and technologies</p> </li><li> <p>Develop and provide cost estimates of different architectural options to clients and iterate different optimizations per client's needs</p> </li><li> <p>Demonstrate and establish technical value proposition of Accenture's AI solutions and assets in a client landscape of technologies, where appropriate</p> </li><li> <p>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.</p> </li><li> <p>Collaboratively work with functional experts and business leaders for designing and operationalizing Agentic AI solutions.</p> </li><li> <p>Collaboratively work with pre-sales leads, mobilization leads, solution leads and delivery leads during a client engagement lifecycle.</p> </li><li> <p>Estimate cost of using LLMs in different forms for business use cases and the viability, develop cost models for different usage patterns.</p> </li><li> <p>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.</p> </li><li> <p>Create and maintain extensive set of blueprints covering runtime, security, devops, infrastructure architectures of Agentic AI platform and applications</p> </li><li> <p>Create and maintain comprehensive technical documentation that comprehensibly captures the intricate details of the language model, facilitating seamless understanding, efficient troubleshooting, and future development.</p> </li></ul> <p>Travel may be required for this role. The amount of travel will vary from 0 to 100% depending on business need and client requirements.</p> <p>Qualification</p> <p>Here's what you need:</p> <ul> <li> <p>Minimum of 6 years in engineering and operationalizing machine learning, deep learning and NLP platforms, solutions and applications.</p> </li><li> <p>Minimum of 6 years of experience in designing & deploying AI / ML solutions for large-scale production usage on at least one cloud service provider (e.g., AWS, Azure, GCP)</p> </li><li> <p>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)</p> </li><li> <p>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)</p> </li><li> <p>Deep understanding of Agentic AI, Generative AI, Classical AI/ML technologies, frameworks, solution patterns, infrastructure</p> </li><li> <p>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.</p> </li></ul> <p>Bonus points if you have:</p> <ul> <li> <p>Hands-on involvement with speech-to-text, text-to-speech, and chatbot technologies</p> </li><li> <p>Experience with NVIDIA's AI technologies and their application in creating solutions, as well as experience architecting and implementing Sovereign AI solutions.</p> </li><li> <p>Experience with HPE PCAI or Dell AI Factory solutions</p> </li></ul> <p>Compensation at Accenture varies depending on a wide array of factors, which may include but are not limited to the specific office location, role, skill set, and level of experience. As required by local law, Accenture provides a reasonable range of compensation for roles that may be hired in California, Colorado, District of Columbia, Illinois, Maryland, Minnesota, New Jersey, New York or Washington as set forth below. We accept applications on an on-going basis and there is no fixed deadline to apply. Information on benefits is here.</p> <p>Role Location Annual Salary Range</p> <p>California $132,500 to $338,300</p> <p>Colorado $132,500 to $292,200</p> <p>District of Columbia $141,100 to $311,200</p> <p>Illinois $122,700 to $292,200</p> <p>Minnesota $132,500 to $292,200</p> <p>Maryland $132,500 to $292,200</p> <p>New York/New Jersey $122,700 to $338,300</p> <p>Washington $141,100 to $311,200</p> <p>#LI-MP</p> <p>#LI-NA</p> <p>Locations</p>