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 AI and Large Language Model Architect, you will play a pivotal role in designing and implementing the technology architecture for advanced AI (including Large Language Model (LLM)) platform systems and solutions. You will translate business roadmap into technical requirements and architecture. Your contributions will be instrumental in shaping cutting-edge architectures, frameworks, and methodologies, pushing the boundaries of natural language processing (NLP) and machine learning. You will architect sophisticated large language models (LLMs) with the remarkable ability to process and generate natural language. Additionally, you will have the opportunity to design neural network parameters, leveraging extensive amounts of unlabeled text data, to further enhance the model's capabilities.
Position Responsibilities:
Architect and design end to end Generative AI products, applications and solutions for specific business needs and provide implementation guidance during delivery.??
Leverage, customize and implement large language 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.
Analyze and make right technological choices for generative ai solutions.
Design and proto@type 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.
What you need:
Minimum of 6 years of experience in designing & deploying analytic solutions using at least one of the cloud vendors.
Minimum of 1 year of experience and strong knowledge of the different technologies, their differences, modalities in the LLM space.
Minimum of 2 years of experience and knowledge of different LLM driven application architecture patterns.
Minimum of 6 years in deep learning and neural networks, in particular training of models.
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.
Bonus Points if you have:
Minimum of 3 years of software & platforms industry or functional experience
Minimum of 3 years of Experience with AI Native and cloud platforms (e.g., Open AI, Anthropic, AWS, Azure, Google Cloud).
Knowledge of agent-based modeling, reinforcement learning, and autonomous systems is highly desirable
Master's degree in Data Science, Computer Science, Statistics, or a related field.
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 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. (https://www.accenture.com/us-en/careers/local/total-rewards)
Role Location Annual Salary Range
California $132,500 to $338,300
Cleveland $122,700 to $270,600
Colorado $132,500 to $292,200
District of Columbia $141,100 to $311,200
Illinois $122,700 to $292,200
Maryland $132,500 to $292,200
Massachusetts $132,500 to $311,200
Minnesota $132,500 to $292,200
New York/New Jersey $122,700 to $338,300
Washington $141,100 to $311,200
Requesting an Accommodation
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We believe that no one should be discriminated against because of their differences.?All employment decisions shall be made without regard to age, race, creed, color, religion, sex, national origin, ancestry, disability status, veteran status, sexual orientation, gender identity or expression, genetic information, marital status, citizenship status or any other basis as protected by federal, state, or local law.?Our rich diversity makes us more innovative, more competitive, and more creative, which helps us better serve our clients and our communities.
For details, view a copy of the?Accenture Equal Opportunity Statement (https://www.accenture.com/content/dam/accenture/final/accenture-com/document-3/Accenture-Equal-Employment-Opportunity-Statement.pdf#zoom=50)
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