AI LLM Technology Architecture Senior Manager at Knowledgent

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 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.

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.

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

Seattle, WA

Arlington, VA

Atlanta, GA

Austin, TX

Bentonville, AR

Boston, MA

Carmel, IN

Charlotte, NC

Chicago, IL

Cincinnati, OH

Cleveland, OH

Columbus, OH

Denver, CO

Detroit, MI

Hartford, CT

Houston, TX

Irving, TX

Los Angeles, CA

Miami, FL

Milwaukee, WI

Minneapolis, MN

Morristown, NJ

Mountain View, CA

Nashville, TN

New York City, NY

Oklahoma City, OK

Philadelphia, PA

Pittsburgh, PA

San Diego, CA

San Francisco, CA

St. Louis, MO

Requesting an Accommodation

Accenture is committed to providing equal employment opportunities for persons with disabilities or religious observances, including reasonable accommodation when needed. If you are hired by Accenture and require accommodation to perform the essential functions of your role, you will be asked to participate in our reasonable accommodation process. Accommodations made to facilitate the recruiting process are not a guarantee of future or continued accommodations once hired.

If you would like to be considered for employment opportunities with Accenture and have accommodation needs such as for a disability or religious observance, please call us toll free at 1 (877) 889-9009 or send us an email or speak with your recruiter.

Equal Employment Opportunity Statement

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

Accenture is an EEO and Affirmative Action Employer of Veterans/Individuals with Disabilities.

Accenture is committed to providing veteran employment opportunities to our service men and women.

Other Employment Statements

Applicants for employment in the US must have work authorization that does not now or in the future require sponsorship of a visa for employment authorization in the United States.

Candidates who are currently employed by a client of Accenture or an affiliated Accenture business may not be eligible for consideration.

Job candidates will not be obligated to disclose sealed or expunged records of conviction or arrest as part of the hiring process. Further, at Accenture a criminal conviction history is not an absolute bar to employment.

The Company will not discharge or in any other manner discriminate against employees or applicants because they have inquired about, discussed, or disclosed their own pay or the pay of another employee or applicant. Additionally, employees who have access to the compensation information of other employees or applicants as a part of their essential job functions cannot disclose the pay of other employees or applicants to individuals who do not otherwise have access to compensation information, unless the disclosure is (a) in response to a formal complaint or charge, (b) in furtherance of an investigation, proceeding, hearing, or action, including an investigation conducted by the employer, or (c) consistent with the Company's legal duty to furnish information.

California requires additional notifications for applicants and employees. If you are a California resident, live in or plan to work from Los Angeles County upon being hired for this position, please click here for additional important information.

Please read Accenture’s Recruiting and Hiring Statement for more information on how we process your data during the Recruiting and Hiring process.

We work with one shared purpose: to deliver on the promise of technology and human ingenuity. Every day, more than 775,000 of us help our stakeholders continuously reinvent. Together, we drive positive change and deliver value to our clients, partners, shareholders, communities, and each other.

We believe that delivering value requires innovation, and innovation thrives in an inclusive and diverse environment. We actively foster a workplace free from bias, where everyone feels a sense of belonging and is respected and empowered to do their best work.

At Accenture, we see well-being holistically, supporting our people’s physical, mental, and financial health. We also provide opportunities to keep skills relevant through certifications, learning, and diverse work experiences. We’re proud to be consistently recognized as one of the World’s Best Workplaces.

Join Accenture to work at the heart of change. Visit us at www.accenture.com.