8 дней назад
AI Delivery Lead
150 000 - 175 000$
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
AI Delivery Lead (AI/Software Delivery): Driving AI-assisted software development and delivery practices across engineering teams building enterprise-grade clinical data products, with an accent on Agile transformation, automated quality, and AI-enabled SDLC workflows. Focus on integrating LLMs and AI services into .NET and Python systems, designing agentic automation, and measuring improvements in delivery flow, quality, and engineering productivity.
Location: Mansfield, Massachusetts, United States
Salary: $150,000–$175,000 USD
Company
develops elluminate®, a Clinical Data Cloud that helps life sciences organizations unify, analyze, and use clinical data throughout the clinical trial lifecycle.
What you will do
- Drive adoption and continuous improvement of AI-assisted development and AI-enabled delivery practices across engineering teams.
- Partner with Engineering, SQA, Product Management, Architecture, and DevOps across planning, development, testing, and release.
- Improve backlog readiness, sprint planning, dependency management, delivery predictability, and engineering workflows.
- Identify opportunities to use AI and automation across requirements analysis, development, testing, documentation, and delivery.
- Strengthen API and UI test automation and integrate automated quality practices into feature delivery.
- Define delivery metrics covering cycle time, rework, automation coverage, manual test reduction, quality, and AI adoption.
Requirements
- Experience leading software delivery across cross-functional Engineering, Product, SQA, Architecture, and DevOps teams.
- Experience introducing or scaling AI-assisted development, AI-enabled delivery, or AI-SDLC practices with measurable results.
- Strong Agile delivery experience, including backlog refinement, sprint planning, release management, risk management, and dependency management.
- Strong understanding of the SDLC, CI/CD, automated testing, release management, and software quality practices.
- Practical understanding of AI-assisted development tools, agents, workflows, prompt engineering, evaluation, and guardrails.
- Ability to work hands-on with engineers, SDETs, Product Managers, architects, and DevOps teams while communicating outcomes to senior leadership.
Nice to have
- Experience with Cursor, GitHub Copilot, Claude Code, or similar AI-assisted development tools.
- Experience with API testing, UI automation, CI/CD, and continuous testing.
- Experience in life sciences, healthcare, regulated SaaS, or other regulated environments.
- Experience building dashboards and metrics for engineering productivity, quality, delivery flow, and AI adoption.
Culture & Benefits
- People-first culture focused on inclusion, diversity, learning, growth, and continuous improvement.
- Company-approved AI tools are used to improve productivity and quality while protecting confidential information and validating generated content.
- Recognized with the 2025 Top Workplaces USA Award for Remote Work and additional culture excellence awards.
- Equal opportunity employer committed to qualification- and merit-based employment decisions.
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