AI/ML Architect - Principal or Senior Principal

About the positionResponsibilities• Architect and deliver enterprise-scale AI/ML solutions including data pipelines, feature engineering, model development, deployment, monitoring, and lifecycle management. • Design scalable, secure architectures that integrate across cloud-native and hybrid environments (AWS, Azure, GCP). • Lead projects across applied AI domains such as natural language processing, computer vision, time series forecasting, recommender systems, and generative AI. • Enable GenAI and LLMOps adoption, including fine-tuning, RAG (retrieval-augmented generation), prompt engineering, and orchestration frameworks.• Champion Responsible AI practices (explainability, fairness, privacy, bias mitigation, and governance) to ensure ethical and compliant AI delivery. • Evaluate emerging technologies, frameworks, and tools, providing clear recommendations tailored to client use cases. • Lead and mentor cross-functional delivery teams of data engineers, ML engineers, and consultants, ensuring on-time, high-quality outcomes. • Support business development through proposals, client pitches, solution accelerators, and thought leadership.• Coach and mentor junior consultants, fostering a culture of continuous learning and innovation across the AI/ML practice. Requirements• 6+ years of experience implementing ML/AI models in production (classical ML, deep learning, or generative AI). • 3+ years of experience in professional consulting or IT services, with proven ability to lead client-facing engagements. • Deep expertise in ML/DL (TensorFlow, PyTorch, Scikit-learn). • Demonstrated proficiency in GenAI frameworks (Hugging Face, LangChain).• Strong programming skills in Python, R, or Scala with hands-on experience building scalable ML pipelines. • Proficiency in cloud AI/ML services (AWS SageMaker, Azure ML, GCP Vertex AI) and big data ecosystems (Spark, Databricks, Kafka, Snowflake). • Experience with MLOps/LLMOps, bolthires/CD, observability, and containerization (Docker, Kubernetes). • Strong understanding of AI solution architecture, balancing performance, scalability, bolthires, and governance. • Ability to communicate complex AI concepts to both technical and non-technical stakeholders, influencing executive decision-making.• Experience managing delivery teams and shaping AI/ML roadmaps for enterprise clients. • Strong problem-solving, critical thinking, and business acumen, with an innovative mindset. Benefits• Slalom prides itself on helping team members thrive in their work and life. As a result, Slalom is proud to invest in benefits that include meaningful time off and paid holidays, parental leave, 401(k) with a match, a range of choices for highly subsidized health, dental, & vision coverage, adoption and fertility assistance, and short/long-term disability.• We also offer yearly $350 reimbursement account for any well-being-related expenses, as well as discounted home, auto, and pet insurance. Apply tot his job