Principal Software Engineer - AI Solutions
Bachelor\u0027s degree in a technical field or equivalent hands-on engineering experience. Strong experience in software engineering with demonstrated delivery of complex, production-grade systems. Experience with modern frameworks, DevOps practices, and CI/CD pipelines AWS: ML Specialty, AI Practitioner, ML Engineer, or Solutions Architect Azure: AI Engineer Associate, Data Scientist Associate, Generative AI Fundamentals Databricks: ML Associate, Data Engineer Associate, Generative AI Engineer Associate A strong technologist who communicates effectively with engineers, architects, and project stakeholders. Comfortable operating in delivery-focused consulting environments with multiple priorities. Collaborative by nature and effective working within cross-functional teams. Experienced mentoring other engineers through example, code reviews, and technical guidance. Motivated by building real-world AI systems that deliver measurable business value. Implementing GenAI and agentic workflows Supporting ML/LLMOps pipelines and experimentation frameworks Building cloud-native applications on Azure and/or AWS Applying distributed systems and scalability patterns Implementing data pipelines, vector stores, and analytics workloads Working with structured and unstructured data sources
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