Associate Director, Intelligent Solutions Engineering

Role Summary

We are seeking an Associate Director of Intelligent Solutions Engineering to lead delivery teams and initiatives building AI-powered platforms and cloud applications that streamline clinical trial processes and accelerate medicine delivery to patients. In this hands-on technical leadership role, you will oversee the architecture and development of custom products that automate workflows, enable data-driven decisions, and extract insights from diverse data sources. You'll drive technical execution by working directly with engineers, data scientists, business users, and cross-functional stakeholders to deliver robust, scalable, and maintainable solutions.

Responsibilities

• Lead technical strategy, roadmap, and architecture for scalable, cloud-native software solutions across onshore and offshore engineering teams.
• Partner with data science teams and business stakeholders to identify priorities and modernize processes.
• Communicate technical vision to align and influence cross-functional teams and senior stakeholders.
• Architect and implement platforms that integrate, analyze, and visualize data using serverless, modern web technologies, and full-stack AWS deployments.
• Serve as technical subject matter expert for AI solutions, including Generative AI applications, context engineering, document generation, and agentic workflows.
• Drive end-to-end product development from inception through production deployment and maintenance.
• Establish and enforce software engineering standards, design patterns, and architectural principles.
• Implement automation-first DevOps practices and champion continuous improvement initiatives.
• Oversee offshore vendor partnerships to ensure quality delivery and product sustainability.
• Mentor engineering teams on AI-driven software development practices and establish best practices for code quality, testing, and documentation, including training on AI tooling and implementation.
• Research and apply emerging AI technologies and innovative approaches to solve complex technical challenges.

Qualifications

• Required: BA/BS with at least 10 years of relevant experience, MA/MS/MBA with at least 8+ years of relevant experience, or PhD with at least 2 years of experience.
• Required: 4+ years of cross-functional technical project management or other relevant leadership experience in a business environment, including multiple years managing project teams.
• Required: Expert-level understanding of software engineering fundamentals including data structures, algorithms, complexity analysis, and system design principles.
• Required: Proven experience leading full SDLC implementations across multiple methodologies (Agile/Scrum, waterfall, hybrid) and product development lifecycles.
• Required: Advanced Python proficiency building production REST APIs and async systems; working knowledge of modern frontend frameworks (React preferred).
• Required: DevOps proficiency with CI/CD automation (GitHub Actions, Terraform), containerization (Docker), and cloud security best practices (IAM, secrets management, network security).
• Required: Production AWS expertise: serverless architectures (Lambda, ECS), storage solutions (S3, RDS, DynamoDB), and infrastructure-as-code (Terraform).
• Required: Data integration engineering including API development, middleware solutions, event-driven architectures, and automated data synchronization pipelines.
• Required: Generative AI expertise with LLMs, prompt engineering, and frameworks (LangChain).
• Required: Proficiency with AI-powered development tools (GitHub Copilot, Cursor, Claude) for accelerated code generation and refactoring.
• Preferred: Experience working in or alongside clinical, regulatory, or real-world evidence (RWE) functions.
• Preferred: Familiarity with GxP, 21 CFR Part 11, and other relevant compliance frameworks.
• Preferred: Experience with AI/ML applications in healthcare, including model evaluation, validation frameworks, and integration of multimodal data sources.