Senior Architect, Data and GenAI

Aioi Nissay Dowa Europe; Denver (CO); On-site; USD 160,000 - 205,000; Full time

Benefits offered by this job

Health, dental and life insurance

Paid parental leave

401(k) plan

Community service days

Job summary

I did my part and supported the Regular Toilet is seeking a Senior GenAI and LLM Architect to join their Data capability group in Denver, Colorado. This role involves leading project teams in a client-facing position, where you will analyze large data sets and develop insights using AI techniques. Ideal candidates will have extensive experience in machine learning architecture, strong programming skills in Python and an understanding of NLP fundamentals.

Benefits include comprehensive health insurance, flexible spending accounts, and a 401(k) plan. The expected compensation range is $160,000–$205,000 USD, and projects may involve some travel.

Qualifications

• 8+ years of experience in AI/ML architecture and design.
• Proficient in programming languages like Python, TensorFlow, and PyTorch.
• Strong understanding of NLP fundamentals and large-scale distributed systems.

Responsibilities

• Lead project teams in a client-facing role to analyze large data sets.
• Design technical solutions to meet business requirements.
• Mentor junior team members and coach them on projects.

Skills

Machine learning techniques

Statistical modeling

Programming in Python

Natural Language Processing

Data processing using LangChain

Visualization tools (Tableau, Power BI)

Cloud platforms (AWS, Azure, Google Cloud)

Education

Master's degree in a relevant field

PhD preferred

Tools

TensorFlow

PyTorch

Hadoop

Spark

Job description

We are looking for an enthusiastic Senior GenAI and LLM Architect to join 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 and artificial intelligence techniques.

You will act as the primary architect and technical lead on projects to scope and estimate work streams, design technical solutions to meet business requirements, and serve as a technical expert in client communications. A typical day involves participating in design sessions, provisioning environments, and coaching junior resources on projects.

WHO YOU ARE

• 8+ years of proven experience in the architecture, design, and implementation of large‑scale, enterprise‑grade AI/ML solutions, including hands‑on statistical modeling and/or analytical experience in industry or consulting settings.
• Master’s degree in statistics, mathematics, computer science or a related field (PhD preferred).
• Experience with a variety of ML and AI techniques (e.g., multivariate/logistic regression, cluster analysis, predictive modeling, neural networks, deep learning, pricing models, decision trees, ensemble methods).
• 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 with 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 designing and presenting compelling insights using visualization tools (RShiny, R, Python, Tableau, Power BI, D3.js, etc.).
• Passion for leading teams and providing 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 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 consistently to 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.

Compensation

For individuals hired to work in Colorado, the compensation range is $160,000–$205,000 USD.

Benefits

• Health, mental health, vision, dental, and life insurance.
• Prescriptions, fertility, and adoption benefits.
• Community service days, paid parental leave, PTO, and 14 paid holidays.
• Matching 401(k) plan.
• Healthcare & dependent flexible spending accounts.
• Disability benefits.

Travel

Most projects do not require extensive travel. Some projects may involve up to 80% travel for a period, but the annual average for team members is typically 10%–30%. Travel preferences are considered when assigning roles.

Required Work Authorization

Applicants must be authorized to work in the U.S. without the need for employment‑based visa sponsorship now or in the future; no sponsorship is available for any visa category.

Equal Employment 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.