GenAI and LLM Architect, Data

Credera is a global consulting firm that combines transformational consulting capabilities, deep industry knowledge, AI and technology expertise to deliver valuable customer experiences and accelerated growth across various industries. We continuously evolve our services to meet the needs of future organizations and reflect modern best practices. We are looking for an enthusiastic GenAI and LLM Architect to add to Credera’s Data capability group. The ideal candidate is excited about leading project‑based teams in a client‑facing role to analyze large data sets to derive insights through machine learning (ML) and artificial intelligence (AI) techniques. They should have strong experience in data preparation and analysis using a variety of tools and programming techniques, building and implementing models, and creating and running simulations. The architect should be familiar with the deployment of enterprise‑scale models into a production environment, including leveraging full development lifecycle best practices for both cloud and on‑prem solutions across a variety of use cases. You will 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, and serve as expert in client communications. On a typical day you might participate in design sessions, provision environments, and coach and lead junior resources on projects. WHO YOU ARE: 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 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 (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) Proficiency in large‑scale distributed systems (Hadoop, Spark, etc.) Experience with designing and presenting compelling insights using visualization tools (RShiny, R, Python, Tableau, PowerBI, D3.js, etc.) Passion for leading teams and providing both formal and informal mentorship Experience 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 the AI area Experience implementing machine learning models in production environments through one or more cloud platforms: Google Cloud Platform, Azure cloud services, or AWS cloud services Basic Qualifications Thrives in a fast‑paced, dynamic, client‑facing role where delivering solid work products to exceed high expectations is a measure of success Contributes in a team‑oriented environment Prioritizes multiple tasks in order to consistently meet deadlines Creatively solves problems in an analytical environment Adapts to new environments, people, technologies and processes Excel in leadership, communication, and interpersonal skills Establishes strong work relationships with clients and team members Generates ideas and understands different points of view Compensation Range (Chicago) $130,000 – $170,000 USD Hybrid Working Model Employees have the flexibility to work remotely two days a week. Team members are expected to spend three days in person, with the freedom to choose the days and times that best suit them, their project, and their teams. Travel Most projects do not require extensive travel. While some projects may involve up to 80% travel for a period, the annual average for team members is typically 10%–30%. Visa and EEO Applicants must be authorized to work in the U.S. without the need for employment‑based visa sponsorship now or in the future; Credera will not sponsor applicants for U.S. work visa status for this opportunity. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender identity, sexual orientation, national origin, age, genetic information, veteran status, or disability. #J-18808-Ljbffr