AI Architect

Overview We’re seeking a senior AI/ML Engineer with minimum 9‑10 years experience who can serve as a Technical Architect owning end‑to‑end design and delivery of machine learning solutions. This role blends hands‑on model development, ML platform engineering, and architectural governance to build scalable, secure, and cost‑effective AI systems that power high‑impact business use cases. Visa sponsorship is not available for this role including H1B, OPT EAD etc. Responsibilities Collaborate with software engineers, business stakeholders and/or domain experts to translate business requirements into product features, tools, projects, AI/ML, NLP/NLU and deep learning solutions. Develop, implement, and deploy AI/ML solutions. Preprocess and analyze large datasets to identify patterns, trends, and insights. Evaluate, validate, and optimize AI/ML models to ensure their accuracy, efficiency, and generalizability. Deploy applications and AI/ML models into cloud environments such as AWS, Azure, or GCP. Monitor and maintain the performance of AI/ML models in production environments, identifying opportunities for improvement and updating models as needed. Document AI/ML model development processes, results, and lessons learned to facilitate knowledge sharing and continuous improvement. Qualifications Bachelor’s or master’s degree in Computer Science, Data Science, Engineering, or a related field. Experience on Agentic AI/Frameworks. Strong programming skills in languages such as Python, SQL/NoSQL, etc. Build analytical approach based on business requirements, then develop, train, and deploy machine learning models and AI algorithms. Exposure to GEN AI models such as OpenAI, Google Gemini, Runway ML, etc. Experience in developing and deploying AI/ML and deep learning solutions with libraries and frameworks such as TensorFlow, PyTorch, Scikit‑learn, OpenCV, and/or Keras. Knowledge of math, probability, and statistics. Familiarity with a variety of Machine Learning, NLP, and deep learning algorithms. Experience in developing APIs using Flask or Django. Good experience in cloud infrastructure such as AWS, Azure, or GCP. Exposure to Gen AI, Vector DB/Embeddings, LLM (Large Language Models). Familiarity with Microsoft Foundry and Copilot Studio. Additional Information Salary Range: $120 – 140K per year. All your information will be kept confidential according to EEO guidelines. This job description in no way states or implies that these are the only duties to be performed by the employee(s) currently in this position. Employee(s) will be required to follow any other job‑related instructions and to perform any other job‑related duties requested by any person authorized to give instructions or assignments. A review of this position has excluded the marginal functions of the position that are incidental to the performance of fundamental job duties. All duties and responsibilities are essential job functions and requirements and are subject to possible modification to reasonably accommodate individuals with disabilities. To perform this job successfully, the incumbent(s) will possess the skills, aptitudes, and abilities to perform each duty proficiently. Some requirements may exclude individuals who pose a direct threat or significant risk to the health or safety of themselves or others. The requirements listed in this document are the minimum levels of knowledge, skills, or abilities. This document does not create an employment contract, implied or otherwise, other than an "at‑will" relationship. #J-18808-Ljbffr Publicis Re:Sources