GenAI Architect

Genai And Llm 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.

We are looking for an enthusiastic 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 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:

• 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 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

For individuals hired to work in Colorado, Credera is required by law to include a reasonable estimate of the compensation range for this role. This compensation range is specific to the State of Colorado and includes the range of factors considered in making compensation decisions including but not limited to skill sets; experience and training; certifications; etc. We would not anticipate that the individual hired into this role would be near the top end of the compensation range, but that decision will be dependent on the facts associated with each specific individual's relevant experience for the role.

Denver Pay Range: $130,000—$170,000 USD

Credera is part of Omnicom Precision Marketing that delivers transformative solutions rooted in data, technology, and AI. Omnicom Precision Marketing delivers precisely targeted and meaningful customer experiences at scale. Using its universal framework of connected data, connected intelligence and connected experiences, OPM provides services that include data-driven product / service design, technology strategy and implementation, CRM / loyalty strategy and activation, econometric and attribution modelling, technical and business consulting and digital experience design and development.

The salary range listed is provided for informational purposes only. Credera treats all applicants as individuals, considering, but not limited to, their professional and academic experience, specialized training, certifications, and associated responsibilities as they relate to our specific industry. The salary range listed is just one component of our total compensation package for each unique employee.

Credera provides a competitive salary and a comprehensive benefits plan. Benefits include health, mental health, vision, dental, and life insurance, prescriptions, fertility and adoption benefits, community service days, paid parental leave, PTO, 14 paid holidays, matching 401(k), Healthcare & Dependent Flexible Spending Accounts, and disability benefits. For more information regarding Omnicom benefits, please visit

Our employees have the flexibility to work remotely two days a week. We expect team members to spend three days in person, with the freedom to choose the days and times that best suit them, their project, and their teams. You'll collaborate with your project team to balance flexibility with the benefits of in-person connection, delivering outstanding results for our clients. In-person engagement is essential for building strong relationships with clients and colleagues. It fosters trust, encourages learning, and helps us grow as consultants and professionals.

For our consulting roles, our goal is to minimize travel, and 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%. We take a personal approach to travel by considering your submitted preferences when assigning roles.

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 (no sponsorship is available for H-1B, L-1, TN, O-1, E-3, H-1B1, F-1, J-1, OPT, CPT, or any other employment-based visa).

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. Credera will never ask for money up front and will not use apps such as Facebook Messenger, WhatsApp or Google Hangouts for communicating with you. You should be very wary of, and carefully scrutinize, any job opportunity that asks for money prior to starting and/or one where all communications take place exclusively via chat.