GenAI and LLM Architect, Data

Credera Enterprises Company - Houston, TX

Full-time - Senior

Hybrid - Houston, TX

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 datasets to derive insights through machine learning (ML) and artificial intelligence (AI) techniques. This role involves data preparation, model implementation, and deployment of enterprise-scale models into production environments, utilizing best practices across various use cases.

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 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

• 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.

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 focus on community impact.