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Senior Architect – GenAI and LLM – Data

Senior Architect – GenAI and LLM – Data

CompanyCredera
LocationDenver, CO, USA
Salary$167500 – $210000
TypeFull-Time
DegreesMaster’s, PhD
Experience LevelSenior, Expert or higher

Requirements

  • 8+ years of proven experience in the architecture, design, and implementation of large scale and enterprise grade AI/ML solutions, including hands-on statistical modeling and/or analytical experience in an industry or consulting setting
  • Master’s degree in statistics, mathematics, computer science or related field (a PhD is preferred)
  • Experience with a variety of ML and AI techniques (e.g. multivariate/logistic regression models, cluster analysis, predictive modeling, neural networks, deep learning, pricing models, decision trees, ensemble methods, etc.)
  • Proficiency in programming languages such as Python, TensorFlow, PyTorch, or Hugging Face Transformers for model development and experimentation
  • Strong understanding of NLP fundamentals, including tokenization, word embeddings, language modeling, sequence labeling, and text generation
  • Experience with data processing using LangChain, data embedding using LLMs, Vector databases and prompt engineering
  • Advanced knowledge of relational and non-relational databases (SQL, NoSQL)
  • Proficient in large-scale distributed systems (Hadoop, Spark, etc.)
  • Experience with designing and presenting compelling insights using visualization tools (RShiny, R, Python, Tableau, Power BI, D3.js, etc.)
  • Passion for leading teams and providing both formal and informal mentorship
  • Experience with wrangling, exploring, transforming, and analyzing datasets of varying size and complexity
  • Knowledgeable of tools and processes to monitor model performance and data quality, including model tuning experience
  • Strong communication and interpersonal skills, and the ability to engage customers at a business level in addition to a technical level
  • Stay current with AI/ML trends and research; be a thought leader in AI area
  • Experience with implementing machine learning models in production environments through one or more cloud platforms: Google Cloud Platform, Azure cloud services, AWS cloud services

Responsibilities

  • Act as the primary architect and technical lead on projects to scope and estimate work streams
  • Architect and model technical solutions to meet business requirements
  • Serve as a technical expert in client communications
  • Participate in design sessions
  • Provision environments
  • Coach and lead junior resources on projects

Preferred Qualifications

  • Thrive in a fast-paced, dynamic, client-facing role where delivering solid work products to exceed high expectations is a measure of success
  • Contribute in a team-oriented environment
  • Prioritize multiple tasks in order to consistently meet deadlines
  • Creatively solve problems in an analytical environment
  • Adapt to new environments, people, technologies and processes
  • Excel in leadership, communication, and interpersonal skills
  • Establish strong work relationships with clients and team members
  • Generate ideas and understand different points of view