Senior AI Solutions Architect

1 month ago

Framingham, Massachusetts, United States Staples Full time
Exciting Opportunity as a Sr AI Solutions Architect I

Staples Inc is seeking a highly skilled Sr AI Solutions Architect I to join our digital solutions team at our Headquarters in Framingham, MA. This is a hybrid work model, requiring the candidate to be in the office 3 days a week.

As a Sr AI Solutions Architect I, you will be responsible for designing and implementing end-to-end AI solutions for various business domains and use cases, leveraging Generative AI and AI/ML/NLP technologies. You will lead the AI solution lifecycle from ideation to production, collaborating with cross-functional teams of data scientists, software engineers, product managers, and designers.

Key Responsibilities:

  • Design and implement end-to-end AI solutions using various frameworks and tools.
  • Research and Development: Stay abreast of the latest advancements in AI/GenAI, explore novel applications, and develop proof-of-concept projects.
  • Solution Architecture: Define the high-level architecture and technical requirements of the AI solutions, ensuring scalability, reliability, security, and performance.
  • Model Selection and Fine-tuning: Select and fine-tune pretrained GenAI models (e.g., GPT4o, LLaMa) for specific tasks, including text generation, image creation, code synthesis, etc.
  • Data Exploration and Preparation: Prepare and analyze data sets for training and evaluation of GenAI models, ensuring data quality and addressing potential biases.
  • Experimentation and Evaluation: Conduct experiments to assess the performance of GenAI models and compare different architectures and approaches.
  • Application Integration: Develop and integrate GenAI models into existing or new applications, leveraging frameworks like LangChain for seamless orchestration.
  • Collaborate with Cross-Functional Teams: Work closely with data scientists, software engineers, product managers, and designers to bring GenAI solutions to life.
  • Contribute to Knowledge Sharing: Document your findings, share best practices, and contribute to the team's knowledge base.
  • Monitor and evaluate the performance and accuracy of AI solutions in production.
  • Identify and troubleshoot issues related to data quality, model drift, scalability, and reliability.
  • Optimize and automate the AI solution lifecycle using MLOps best practices.
  • Provide thought leadership and guidance on the best practices and methodologies for AI solution development and delivery.

Requirements:

  • Bachelor's degree or higher in Computer Science, Engineering, Mathematics, Statistics, or related field expertise.
  • Hands-on experience with popular GenAI LLM models (e.g., GPT-3, LLaMa, Mixtral), SLM's with Phi/Gamma/Triplex, and frameworks (e.g., LangChain, LlamaIndex, Semantic Kernel, PyTorch, and long-term memory with Mem0 or similar).
  • Strong experience in designing and implementing end-to-end AI solutions using Python, PyTorch, leveraging Databricks, Snowflake or similar frameworks and tools.
  • Strong knowledge of machine learning, deep learning, natural language processing, computer vision, and other AI domains.
  • Experience in feature engineering, data preprocessing, model tuning, and evaluation.
  • Experience in MLOps, CI/CD, cloud computing, and containerization technologies.
  • Excellent communication, collaboration, and problem-solving skills.
  • Ability to work independently and in a team environment.
  • Degree in Computer Science, Artificial Intelligence, or a related field experience.
  • 5+ years of experience in AI/ML, with a strong focus on Generative AI.
  • Deep understanding of NLP, deep learning, and data analysis techniques.
  • Experience with large language models (LLMs), text generation, and image gen.
  • Strong programming skills in Python, along with experience in data manipulation libraries (e.g., Pandas, NumPy).
  • Passion for innovation and a desire to explore the frontiers of AI.
  • Bonus:
  • Experience with cloud platforms (Azure, GCP) and their AI/ML services.
  • Familiarity with vector data stores (e.g., FAISS, Qdrant, Azure Search, Databricks).

We Offer:

  • Inclusive culture with associate-led Business Resource Groups and resources such as the Social Justice Resource Center
  • Flexible PTO (22 days) and Holiday Schedule (7 observed paid holidays), Online and Retail Discounts, Company Match 401(k), Physical and Mental Health Wellness programs, and more perks and benefits

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