Director of Software Engineering

Our Partner's new SaaS solution pioneers an AI-first software tailored for RA/QA Professionals to expedite U.S. FDA clearances. Their product integrates advanced technologies including knowledge graph augmentation, retrieval augmented generation (RAG), and large language model (LLM) fine-tuning. By harnessing Real-World Data, Evidence, and Assets, the technology orchestrates a seamless end-to-end workflow, ensuring informed decision-making and automated actions for swift FDA approvals.

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We are searching for a driven Head of Software Engineering to spearhead the development and rapid deployment of their AI application technology. This role demands strong technical acumen, leadership prowess, and a proven ability to navigate complex challenges to deliver within an ambitious 6-month timeline.

Responsibilities:

- Lead the software engineering team in conceiving, architecting, testing, and launching the AI application, aligning closely with product specifications and strategic objectives.

- Drive innovation and technical excellence by implementing best practices in AI, machine learning, and natural language processing (NLP) techniques.

- Collaborate cross-functionally with product management, regulatory affairs, and data science teams to integrate AI capabilities seamlessly into the regulatory approval workflow.

- Manage the full software development lifecycle, ensuring robustness, scalability, and security of the AI application.

- Provide mentorship and guidance to the engineering team, fostering a culture of collaboration, innovation, and accountability.

- Implement and uphold rigorous coding standards, documentation practices, and continuous integration/continuous deployment (CI/CD) pipelines.

- Oversee technical architecture decisions, leveraging cloud platforms (e.g., AWS, Azure) and containerization technologies (e.g., Docker, Kubernetes) for optimal performance.

Requirements:

- Extensive hands-on experience (8+ years) in software engineering, with a strong focus on AI and machine learning applications.

- Proficiency in Python programming language and deep learning frameworks such as PyTorch or TensorFlow.

- Expertise in deploying AI solutions at scale, utilizing cloud infrastructure and container orchestration tools.

- Solid understanding of regulatory processes, particularly in FDA clearance or related domains, is highly advantageous.

- Proven track record of leading high-performing engineering teams in agile environments, delivering complex projects on time and within budget.

- Excellent communication skills with the ability to translate technical concepts to non-technical stakeholders.

- Bachelor’s degree in Computer Science, Engineering, or a related technical field; advanced degree (e.g., MS, PhD) preferred.

Benefits:

- Competitive salary and comprehensive benefits package.

- Opportunity to innovate with cutting-edge AI technologies in a rapidly evolving industry.

- Collaborative and inclusive work environment promoting professional growth and development opportunities.

Location:

This position is based at their headquarters in the Boston area, with options for remote work flexibility.