<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>Designing end-to-end Agentic AI products, applications and solutions for specific business needs and provide implementation guidance during delivery.</p> </li><li> <p>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.</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>Understanding how to manage, scale, and monitor AI agents in a platform, rather than for specific use cases.</p> </li><li> <p>Leverage, customize and implement Gen AI models, algorithms, and methodologies to improve the overall quality Gen AI products, applications and systems.</p> </li><li> <p>Analyze and evaluate the performance of?Gen AI?systems and provide design recommendations.</p> </li><li> <p>Estimate the effort and time required for deploying an end-to-end solution using LLMs.</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>Design and prototype reusable components for LLM based solution patterns.</p> </li><li> <p>Architect components of an LLM solution to address Responsible AI & Security.</p> </li><li> <p>Design LLM Ops solutions for large scale operationalization.</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 comprehensive technical documentation that comprehensibly captures the intricate details of the language model, facilitating seamless understanding, efficient troubleshooting, and future development.</p> </li><li> <p>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.</p> </li><li> <p>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.</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, machine learning, deep learning and NLP solutions and applications.</p> </li><li> <p>Minimum of 6 years of experience in designing & deploying AI / ML solutions using at least one cloud vendor.</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>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></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.</p> <p>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>Locations</p>