GenAI Architect

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.

We are looking for an enthusiastic GenAI and LLM Architect to add to Credera’s Data capability group. The ideal candidate will lead project-based teams in a client-facing role to analyze large data sets and derive insights through machine learning (ML) and artificial intelligence (AI) techniques. They will 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 deploying enterprise-scale models into production environments, leveraging best practices for both cloud and on-prem solutions.

• Act as the primary architect and technical lead on projects, scoping and estimating 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, and coach and lead junior resources.

• 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 such as multivariate regression, clustering, predictive modeling, neural networks, deep learning, pricing models, decision trees, ensemble methods, etc.
• Proficiency in programming languages such as Python, Tensor Flow, PyTorch, or Hugging Face Transformers.
• Strong understanding of NLP fundamentals, including tokenization, embeddings, language modeling, sequence labeling, and text generation.
• Experience with data processing using Lang Chain, data embedding using LLMs, vector databases and prompt engineering.
• Advanced knowledge of relational and non-relational databases (SQL, No
  
  SQL).
• Proficient in large‑scale distributed systems (Hadoop, Spark, etc.).
• Experience designing and presenting compelling insights using visualization tools (RShiny, R, Python, Tableau, Power BI, D3.js).
• Passion for leading teams and providing mentorship.
• Experience with wrangling, exploring, transforming, and analyzing datasets of varying size and complexity.
• Knowledge of tools and processes to monitor model performance and data quality, including model tuning.
• Strong communication and interpersonal skills, engaging customers at business and technical levels.
• Stay current with AI/ML trends and research; be a thought leader in AI.
• Experience implementing ML models in production environments through one or more cloud platforms:
• Google Cloud Platform
• Azure cloud services
• AWS cloud services

• Thrive in a fast-paced, dynamic, client-facing role where delivering solid work products exceeds expectations.
• Collaborate in a team-oriented environment.
• Prioritize multiple tasks 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.

• Seniority level:
  Mid‑Senior level
• Employment type:
  
  Full‑time
• Job function:
  Design, Art/Creative, and Information Technology
• Industries:
  Bus…