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Senior Architect, GenAI and LLM, Data

2 months ago

Chicago, Illinois, United States Omnicom Group Inc. Full time
About the Role

We are seeking a highly skilled Senior Architect to lead our GenAI and LLM Data capability group. As a key member of our team, you will be responsible for architecting and implementing large-scale AI/ML solutions, leveraging your expertise in data preparation, analysis, and modeling.

Key Responsibilities
  • Lead project-based teams in a client-facing role to analyze large data sets and derive insights through machine learning and artificial intelligence techniques.
  • Design and implement technical solutions to meet business requirements, leveraging full development lifecycle best practices for cloud and on-prem solutions.
  • Act as a technical expert in client communications, participating in design sessions, provisioning environments, and coaching junior resources.
  • Stay current with AI/ML trends and research, and serve as a thought leader in the AI area.
Requirements
  • 8+ years of proven experience in the architecture, design, and implementation of large-scale and enterprise-grade AI/ML solutions.
  • Master's degree in statistics, mathematics, computer science, or a related field (a PhD is preferred).
  • Experience with a variety of ML and AI techniques, including 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.
What We Offer
  • A dynamic and fast-paced client-facing role where delivering solid work products to exceed high expectations is a measure of success.
  • A team-oriented environment where you can contribute and grow.
  • The flexibility to work remotely two days per week, with the option to choose the days and times that work best for you and your project or internal teams.
  • A hybrid work model that balances flexibility with in-person engagement to develop deep relationships with clients and team members.
  • Minimal out-of-market travel, with most projects not requiring significant travel.