We are seeking a hands-on Senior Software Manager to lead our data engineering and AIML initiatives. The ideal candidate will have a strong background in big data technologies and a deep understanding of AI/ML productionization, including LLM services. You will play a key role in guiding a talented team, driving innovation, and ensuring the successful delivery of security related enterprise-critical applications. 

Key Responsibilities: 

• Team Leadership: 

• Lead and mentor a team of data engineers and AI/ML specialists, fostering a collaborative and innovative environment. 

• Build strong teams through effective hiring practices and talent development. 

• Cross-Functional Collaboration: 

• Work closely with cross-functional teams, including UX and product management, to define and implement data and AIML solutions that meet user needs. 

• Collaborate effectively with stakeholders at various levels of technical expertise, translating complex technical concepts into understandable terms. 

• Data Engineering: 

• Design and implement scalable data pipelines using big data technologies. 

• Collaborate with stakeholders to define data requirements and architecture for AIML applications. 

• AIML Productionization: 

• Oversee the deployment and maintenance of AI/ML models and services, ensuring high performance and reliability. 

• Understand how to create AI/ML services and endpoints, facilitating integration with other systems. 

• Drive the integration of LLMs into production systems, focusing on use cases such as retrieval-augmented generation (RAG), zero-shot, and few-shot learning. 

• Ensure robust testing practices, including unit testing, end-to-end (E2E) testing, load testing, and stress testing to validate performance and reliability. 

• Enterprise Application Resiliency: 

• Build high-resiliency, enterprise-critical applications that meet business needs and performance standards. 

• Ensure robustness and scalability in application design and implementation. 

• Project Management: 

• Manage project timelines, deliverables, and resource allocation to ensure successful project execution. 

• Utilize agile methodologies to adapt to changing project requirements and priorities. 

• Risk Management: 

• Identify and mitigate risks associated with data engineering and AIML initiatives. 

• Ensure compliance with relevant data governance and security standards. 

Qualifications: 

• Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field. 

• 7+ years of experience in software development, with at least 2 years in a leadership role. 

• Strong expertise in data engineering, particularly with big data technologies such as PySpark. 

• Proven experience in productionizing AI/ML and LLM applications, with a solid understanding of relevant use cases. 

• Experience working with cross-functional teams, particularly in UX and product management. 

• Ability to engage with stakeholders of varying technical backgrounds, translating technical jargon into clear and actionable insights. 

• Familiarity with risk management principles is a plus. 

• Excellent hiring skills and the ability to build strong, motivated teams. 

• Excellent communication and interpersonal skills, with the ability to inspire and lead.