AI and LLM Architect

At GDIT, we are at the forefront of AI-driven innovation, building next-generation solutions that harness the power of Large Language Models. We are looking for an Artificial and Large Language Model Architect to help shape the future of AI systems and help ensure today is safe and tomorrow is smarter. We are passionate about leveraging artificial intelligence and large language models to solve real-world problems and deliver innovative solutions.

Job Description

As an AI & LLM 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 roadmaps 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.

How the AI & LLM Architect Will Make an Impact
• 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 Gen AI models, algorithms, and methodologies to improve the overall quality 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.

What you need:

• Must be willing and able to obtain the required high level security clearance
• Minimum of 6 years of experience in designing & deploying AI / ML solutions using various cloud vendors.
• Minimum of 1 year of experience in the LLM and Generative AI space.
• Minimum of 1 year of experience architecting and operationalizing LLM driven application architecture patterns.
• Minimum of 6 years in engineering, machine learning, deep learning and NLP solutions and applications.
• 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.

• Must be willing to travel: Local travel 10%

Clearance Level Must Be Able To Obtain:

Top Secret SCI + Polygraph

Location: Springfield, VA

US Citizenship Required