Associate Director, Solutions Engineering

Position: Associate Director, Intelligent Solutions Engineering
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** 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 Dev Ops 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 life cycles.
* Advanced Python proficiency building production REST APIs and async systems; working knowledge of modern frontend frameworks (React preferred).
* Dev Ops proficiency with CI/CD automation (Git Hub 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, Dynamo

DB), 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 (Lang Chain).
* Proficiency with AI-powered development tools (Git Hub 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.
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