AI / Large Language Model Architect

Accenture; Washington, New York, California (District of Columbia, NY, MO); Hybrid; USD 130,000 - 180,000; Full time

Job summary

Accenture seeks a Senior Manager for AI LLM Technology Architecture to drive innovation in AI and machine learning solutions. This role involves designing AI products, collaborating with cross-functional teams, and ensuring the effective operationalization of AI systems. The ideal candidate will have a strong background in machine learning and deep learning, capable of influencing executive decisions and enhancing AI performance.

Qualifications

• Expertise in AI and Large Language Models.
• Experience in designing AI products and solutions.
• Strong understanding of transformer architecture.

Responsibilities

• Designing end-to-end AI products and applications.
• Architecting enterprise-class AI platforms.
• Collaborating with teams to operationalize AI solutions.

Skills

Machine Learning

Deep Learning

Data Analysis

AI Solutions Development

Collaboration

Job description

AI LLM Technology Architecture Senior Manager | Senior Level | Full time

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 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.

Position Responsibilities:

1. Designing end-to-end Agentic AI products, applications, and solutions for specific business needs and provide implementation guidance during delivery.
2. 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.
3. Participating in and facilitating high-level client discussions as a technical expert and pre-sales professional, influencing executive decisions around design, architecture, operationalization, and delivery of complex Agentic AI solutions.
4. Collaborating with functional experts and business leaders to design and operationalize Agentic AI solutions.
5. Understanding how to manage, scale, and monitor AI agents in a platform, beyond specific use cases.
6. Leveraging, customizing, and implementing Gen AI models, algorithms, and methodologies to improve overall quality of Gen AI products, applications, and systems.
7. Analyzing and evaluating the performance of Gen AI systems and providing design recommendations.
8. Estimating effort and time required for deploying end-to-end solutions using LLMs.
9. Estimating costs associated with using LLMs for different business use cases and developing cost models for various usage patterns.
10. Designing and prototyping reusable components for LLM-based solution patterns.
11. Architecting components of LLM solutions to address Responsible AI & Security considerations.
12. Designing LLM Ops solutions for large-scale operationalization.
13. Collaborating with diverse, cross-functional teams to identify and prioritize requirements, ensuring the language model meets stakeholder needs.
14. Creating and maintaining comprehensive technical documentation for the language models.
15. Utilizing transformer architecture to optimize language model performance and efficiency.
16. Applying transformer architectures to process and analyze large data volumes, enhancing model accuracy and versatility.

Travel may be required for this role, varying from 0 to 100% based on business needs and client requirements.

Multiple Locations | Senior Level | Full time