Senior AI/ML Solutions Architect (AI)

TL;DR

Senior AI/ML Solutions Architect (AI): Leads the design, development, and deployment of machine learning and GenAI models and architects end-to-end ML pipelines for enterprise systems with an accent on integrating state-of-the-art LLMs, ensuring scalability, efficiency, and compliance. Focus on providing technical leadership in MLOps and ethical AI practices, and translating complex business needs into robust AI solutions.

Location: Onsite in New York, New York, United States.

Company

hirify.global is a global IT services and consulting company focused on engineering and digital transformation.

What you will do

• Lead the design, development, and deployment of machine learning and GenAI models in collaboration with various teams.
• Architect end-to-end ML pipelines from data preparation and model training to deployment and monitoring.
• Evaluate, fine-tune, and integrate state-of-the-art LLMs (e.g., Gemini, GPT-4) into enterprise systems such as Salesforce.
• Guide retraining efforts to maintain model performance, fairness, and ethical standards.
• Mentor junior engineers and provide technical leadership on best practices in ML model development, optimization, and MLOps.
• Collaborate cross-functionally with product owners, data scientists, and business stakeholders to translate business needs into AI solutions.

Requirements

• Proven experience: 5-8 years in Machine Learning Engineering or AI Solution Design with demonstrated leadership or tech lead responsibilities.
• Deep expertise in Generative AI, LLMs (e.g., Gemini, GPT-4, Claude) and traditional ML, NLP, Deep Learning techniques.
• Proficiency in Python and related ML frameworks (e.g., TensorFlow, PyTorch, Hugging Face, LangChain).
• Strong experience with cloud platforms (preferably Google Cloud Platform, but AWS or Azure also considered).
• Demonstrated ability to architect scalable ML systems and integrate AI capabilities into enterprise platforms (e.g., Salesforce).
• Excellent analytical, problem-solving, troubleshooting, collaboration, and communication abilities.

Nice to have

• Hands-on experience with CRM platforms like Salesforce.
• Understanding of data privacy, security, and ethical AI practices.
• Experience mentoring or training teams in AI/ML concepts and implementation.
• Strong project management or agile delivery experience.