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The Senior Engineering Development Manager, SVP, is a senior management level position responsible for accomplishing results through the management of a team or department in an effort to establish and implement new or revised application systems and programs in coordination with the Technology Team
Job Responsibility:
Strategic Platform Leadership: Design and architect a cutting-edge, end-to-end platform for image digitization, integrating Generative AI technologies with a focus on scalability, reliability, and performance
AI/ML Innovation: Drive the implementation of RAG-based architectures and leverage multimodal capabilities of commercial Large Language Models to build intelligent applications, including search, chat agents, and guided analytics
Engineering Excellence: Implement and champion best DevOps practices, including CI/CD pipelines, automated testing, and containerization (Docker, Kubernetes) to streamline development and deployment
Team Leadership & Development: Lead, mentor, and grow a high-performing team of developers and analysts, fostering a culture of technical excellence, continuous learning, and innovation
Recruit top talent and ensure professional growth for all team members
Project & Risk Management: Oversee the Book of Work deliverables, manage project goals, and proactively mitigate risks
Adapt quickly to changing priorities, ensuring the team pivots effectively to meet evolving business needs
Cross-Functional Collaboration: Influence and negotiate with senior leaders and external partners
Lead technical design discussions, negotiating feature sets and guiding development efforts across integrating applications
Compliance & Ethical Conduct: Appropriately assess and manage technical and business risks, safeguarding the firm's reputation and assets
Ensure compliance with applicable laws, regulations, and internal policies, exercising sound ethical judgment
Product Partnership: Collaborate closely with Product Development to align on priorities, roadmaps, and feature delivery
Requirements:
15+ years of progressive industry experience in systems architecture and software development, with a strong emphasis on Data Processing, AI/ML, and DevOps
Proven experience designing and implementing large-scale, complex microservices architectures in cloud environments (e.g., single/multi-tenant solutions on AWS, Azure, GCP)
Deep expertise in Generative AI technologies, including proficiency in AI/ML frameworks (e.g., Langchain) and practical experience building applications with Large Language Models
Strong hands-on experience with Python as a primary development language, complemented by full-stack application development
Extensive experience with DevOps tools (Jenkins, GitLab, Docker, Kubernetes) and Infrastructure as Code (IaC) practices
Comprehensive understanding of software development lifecycle, microservices architecture, and API design principles
Experience with diverse data storage solutions (NoSQL, SQL, data lakes) and pipeline orchestration
Demonstrated leadership abilities in managing and mentoring engineering teams, setting development standards, and driving project execution
Exceptional analytical, problem-solving, and troubleshooting skills, with a track record of delivering innovative solutions and improving performance
Superior communication, collaboration, and mentorship skills, with the ability to articulate complex technical concepts clearly to both technical and non-technical stakeholders
Nice to have:
Master’s degree
Experience with full life cycle software development, emphasizing Generative AI integration
Demonstrable portfolio of significant software applications developed over the last 5 years
What we offer:
Medical, dental & vision coverage
401(k)
Life, accident, and disability insurance
Wellness programs
Paid time off packages, including planned time off (vacation), unplanned time off (sick leave), and paid holidays
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