Applied AI & ML Solutions Architect

Join RSM as an AI Solutions Architect to design and implement cutting-edge Generative AI and RAG-based systems. You will bridge the gap between technical ML expertise and strategic business objectives in a globally inclusive environment.

• Architect end-to-end AI/ML pipelines including data ingestion, model training, and deployment.
• Design solutions using Large Language Models (LLMs) and Retrieval-Augmented Generation (RAG).
• Collaborate with cross-functional teams to translate business needs into technical AI solutions.
• Establish MLOps frameworks, CI/CD pipelines, and model versioning.
• Implement responsible AI practices focusing on security, ethics, and compliance.

• 8+ years of experience in ML engineering, data science, or software architecture.
• Proficiency in Python, R, and ML frameworks like TensorFlow, PyTorch, or Hugging Face.
• Hands-on experience with cloud platforms (AWS Bedrock, Azure AI, or Google Cloud AI).
• Strong knowledge of Generative AI techniques, prompt engineering, and fine-tuning.
• Bachelor’s or Master’s degree in Computer Science or Data Science.

• Competitive benefits and compensation package.
• Flexible work schedule for better work-life balance.
• Inclusive culture and opportunities for professional growth.
• Reasonable accommodations for applicants with disabilities.

• Certifications like AWS Certified ML or Azure AI Engineer are highly preferred.
• Experience in Finance or Healthcare industries is a plus.