AI / Large Language Model Architect

Accenture-posted 7 months ago
$132,500 - $338,300/Yr
Full-time • Senior
Chicago, IL
Professional, Scientific, and Technical Services
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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.

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