GenAI and LLM Architect, Data

Full-time - Senior

Hybrid - Denver, CO

Professional, Scientific, and Technical Services

About the position

The GenAI and LLM Architect at Credera will lead project-based teams in a client-facing role, focusing on analyzing large data sets to derive insights through machine learning (ML) and artificial intelligence (AI) techniques. This position requires strong experience in data preparation, analysis, and model implementation, as well as familiarity with deploying enterprise-scale models into production environments. The architect will serve as the primary technical lead, responsible for scoping projects, estimating work streams, and providing mentorship to junior resources.

Responsibilities

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

Requirements

• Proven experience in the architecture, design, and implementation of large scale and enterprise grade AI/ML solutions.
• 5+ years of 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.

Nice-to-haves

• Experience in a fast-paced, dynamic, client-facing role.
• Ability to contribute in a team-oriented environment.
• Skills in prioritizing multiple tasks to meet deadlines.
• Creative problem-solving skills in an analytical environment.
• Adaptability to new environments, people, technologies, and processes.
• Strong leadership, communication, and interpersonal skills.
• Ability to establish strong work relationships with clients and team members.

Benefits

• Flexible work model allowing remote work two days per week.
• Opportunity for personal and professional growth.
• Engagement in a values-led organization with a mission to impact clients and community.