Associate Director, Intelligent Solutions Engineering

## **Key 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.## ## **Basic Qualifications*** 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.* 4+ years of cross-functional technical project management or other relevant leadership experience in a business environment, including multiple years managing project teams.* Expert-level understanding of software engineering fundamentals including data structures, algorithms, complexity analysis, and system design principles.* Proven experience leading full SDLC implementations across multiple methodologies (Agile/Scrum, waterfall, hybrid) and product development lifecycles.* Advanced Python proficiency building production REST APIs and async systems; working knowledge of modern frontend frameworks (React preferred).* DevOps proficiency with CI/CD automation (GitHub Actions, Terraform), containerization (Docker), and cloud security best practices (IAM, secrets management, network security).* Production AWS expertise: serverless architectures (Lambda, ECS), storage solutions (S3, RDS, DynamoDB), and infrastructure-as-code (Terraform).* Data integration engineering including API development, middleware solutions, event-driven architectures, and automated data synchronization pipelines.* Generative AI expertise with LLMs, prompt engineering, and frameworks (LangChain).* Proficiency with AI-powered development tools (GitHub Copilot, Cursor, Claude) for accelerated code generation and refactoring.## ## **Preferred Qualifications*** Experience working in or alongside clinical, regulatory, or real-world evidence (RWE) functions.* Familiarity with GxP, 21 CFR Part 11, and other relevant compliance frameworks.* Experience with AI/ML applications in healthcare, including model evaluation, validation frameworks, and integration of multimodal data sources. #J-18808-Ljbffr