Lead the Architecture and Development of full-stack applications that align with EDC’s AI & Digital Transformation strategy and drive high-priority business outcomes.
Establish and steward engineering standards for cloud-native, API-First, and AI-enabled development, including CI/CD practices, testing patterns, observability, and security.
Define and implement modular “Lego-block” architectures that are reusable and interoperable across business development, programmatic, and core business systems through API-first, cloud-native solutions.
Integrate responsible AI by leveraging AWS Bedrock, CrewAI, and other AI services to design and deploy agentic AI teams and intelligent solutions.
Streamline enterprise workflows by replacing manual processes with reliable, scalable, and automated digital systems.
Evaluate technical tradeoffs and provide clear recommendations on build vs. buy, short-term vs. long-term solutions, and architectural risk.
Collaborate cross-functionally with business development, program, and operations teams to translate business needs into scalable technical products.
Ensure security, privacy, and accessibility by upholding EDC’s data governance and compliance standards across all solutions.
Contribute to the Reference Architecture for Agentic AI which will serve as the blueprint for deploying and governing AI agents safely, efficiently, and at scale.
Mentor and share knowledge across engineering and AI/Data communities to promote best practices in cloud-native, AI-enabled design.
Continuously improve development processes through automation, observability, and agile, iterative delivery that reflects EDC’s learning culture.

Requirements

BS in computer science or equivalent and 7+ years of related work experience
Master’s degree in computer science or equivalent and 5+ years of related work experience
Demonstrated experience leading complex technical initiatives from design through production
Experience mentoring engineers and raising overall technical quality
Strong judgment in balancing speed, quality, and long-term maintainability
Proven experience building and deploying full-stack web applications using modern frameworks (React, Vue, Angular, Node.js, Python, TypeScript, etc.)
Proven experience with AWS Cloud Services: Lambda, DynamoDB, Aurora Serverless, S3, API Gateway, AppSync, and Bedrock
Strong understanding of API-first, modular architecture principles (GraphQL, REST)
Experience integrating AI/ML services (e.g., AWS Bedrock, CrewAI, OpenAI APIs) into production applications
Familiarity with CI/CD pipelines, Infrastructure-as-Code (IaC), and DevOps tools
Knowledge of data architecture and ETL pipelines to connect operational and analytic systems
Committed to accessibility (508/ADA), inclusive design, and secure coding practices
Skilled collaborator works fluidly with architects, engineers, designers, and business domain experts.
Strong communicator with the ability to explain technical solutions in clear, mission-relevant terms.
Demonstrated agility—thrives in iterative, fast-evolving, mission-driven environments.

Benefits

Health, dental, and vision insurance
Paid holidays
Generous vacation benefits for full- and part-time employees
Dependent Care Flexible Spending Accounts
Pre-tax transport benefit
Robust retirement plan with TIAA/CREF (Teachers Insurance and Annuity Association/College Retirement Equities Fund)
Paid sick time and personal time annually
Parental leave
Employee assistance program

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills & Tools

full-stack developmentcloud-native developmentAPI-first architectureCI/CD practicesAWS Cloud ServicesReactNode.jsPythonTypeScriptAI/ML integration

Soft Skills

leadershipmentoringjudgmentcollaborationcommunicationagilityproblem-solvingtechnical quality improvementcross-functional teamworkknowledge sharing

Certifications

BS in computer scienceMaster’s degree in computer science