AI / Large Language Model Architect

Accenture • Chicago, IL

270d • $132,500 - $338,300

About The Position

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.

Requirements

• Minimum of 6 years in engineering, machine learning, deep learning and NLP solutions and applications.
• Minimum of 6 years of experience in designing & deploying AI / ML solutions using at least one cloud vendor.
• 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).
• 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).
• 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.

Nice To Haves

• Hands-on involvement with speech-to-text, text-to-speech, and chatbot technologies.
• Experience with NVIDIA's AI technologies and their application in creating solutions.
• Experience architecting and implementing Sovereign AI solutions.

Responsibilities

• Designing end-to-end Agentic AI products, applications and solutions for specific business needs and provide implementation guidance during delivery.
• 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.
• Participate in and facilitate high-level client discussions and influence executive decisions around design, architecture, operationalization, and delivery of complex Agentic AI solutions.
• Collaboratively work with functional experts and business leaders for designing and operationalizing Agentic AI solutions.
• Manage, scale, and monitor AI agents in a platform, rather than for specific use cases.
• Leverage, customize and implement Gen AI 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.
• 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.
• Create and maintain comprehensive technical documentation that captures the intricate details of the language model.
• Harness the power of transformer architecture to optimize the language model's performance and efficiency.
• Exploiting the transformative capabilities of transformer architectures to process and reshape vast volumes of data.

Benefits

• 401k
• health_insurance
• dental_insurance
• vision_insurance
• paid_holidays
• tuition_reimbursement
• flexible_scheduling
• professional_development

What This Job Offers

• Job Type: Full-time
• Career Level: Senior
• Industry: Professional, Scientific, and Technical Services
• Education Level: Bachelor's degree