Senior Architect, Data and GenAI

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. Our unique global approach provides tailored solutions, transforming the most influential brands and organizations worldwide.

Our employees, the lifeblood of our company, are passionate about making an extraordinary impact on our clients, colleagues, and communities. This passion drives how we spend our time, resources, and talents.Our commitment to our people and work has been recognized globally. Please visit our employer awards page: https://www.credera.com/awards-and-recognition.

We are looking for an enthusiastic Senior GenAI and LLM Architect to add to Credera’s Data capability group. Our 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 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 Senior Architect should be familiar with the deployment of enterprise scale models into a production environment; this includes 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 a technical expert in client communications. On a typical day, you might expect to participate in design sessions, provision environments, and coach and lead junior resources on projects.

WHO YOU ARE:

• 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 and 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 

Basic 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