Senior Engineer, AI and Automation

The SpringCube team curated the following job opportunity to help you in your job search. Explore the position below to find your next career move.

Company Overview
A biotechnology venture builder is advancing life sciences by inventing and scaling platform companies that tackle humanity’s most urgent challenges. This organization unites scientific innovation, entrepreneurial leadership, and capital investment under one roof, creating transformative solutions in human health, sustainable agriculture, and disease prevention. Its portfolio includes companies addressing COVID-19 vaccination, intractable diseases, and agriculture resiliency. Recognized on FORTUNE’s “Change the World” list and Fast Company’s Most Innovative Companies, the firm is committed to scientific progress and societal impact.

Position Summary
The Senior Engineer, AI and Automation, will build and maintain AI infrastructure and automation pipelines to enable enterprise-wide AI adoption. Operating within the Digital Platforms team, this hands-on role partners with the Enterprise AI team to productionize AI workflows, deploy agentic tooling, and integrate AI across business functions. Responsibilities include developing AI-powered solutions, maintaining MLOps frameworks, and supporting AI governance and security standards.

What You’ll Do

• Design, build, and deploy AI use cases across business functions including finance, legal, HR, research, and operations
• Maintain AI infrastructure: MCP server builds, agentic frameworks, LLM orchestration, and low-code/no-code automation tools (Zapier, Workato)
• Partner with Enterprise AI leads to scope and accelerate AI use case delivery from triage to production
• Build and maintain integrations between AI tools and enterprise systems (Coupa, NetSuite, Slack, M365)
• Establish MLOps platforms for deployment, observability, and feedback loops for AI workflows
• Evaluate and implement AI-enabled SaaS tools, including proof-of-concept builds and vendor assessments
• Contribute to AI governance: usage monitoring, Zero Data Retention compliance, sandbox governance, and documentation
• Collaborate with Information Security on AI risk management, agentic workflow guardrails, and shadow AI detection

What We’re Looking For

• 5+ years of technical delivery experience
• 4+ years of software (Python preferred) and automation engineering experience, shipping LLM-based systems to production
• 2+ years of cloud-first architecture experience (AWS preferred)
• 2+ years of building and launching applications using DevOps and MLOps tools
• Hands-on experience with LLM APIs (Anthropic, OpenAI, or similar), prompt engineering, and multi-step agentic workflows
• Experience with MCP and agentic tool frameworks
• Familiarity with RAG architectures, vector databases, and document ingestion pipelines
• Knowledge of ERP, HRIS, and enterprise automation platforms (Zapier, Workato, Make)
• Ability to integrate SaaS systems via APIs, webhooks, and event-driven architectures
• Strong judgment in build vs. buy decisions and MVP vs. production scoping
• Able to independently identify high-leverage automation opportunities and communicate reasoning effectively
• Clear communication skills for working with non-technical stakeholders

Nice to Have

• Background in life sciences, biotech, or research-adjacent environments
• Experience in fast-moving, high-accountability delivery environments
• Direct experience with Coupa, NetSuite, Workday, UKG, or similar ERP/HCM platforms

Disclaimer
SpringCube curates tech job listings from various company websites to support tech professionals in Globally.

1. No Endorsement: Job ads on SpringCube do not imply endorsement of their authenticity or quality.
2. No Client Relationship: This company is not a client of SpringCube unless stated.
3. To Apply: Click the “Apply” button to be redirected to the hiring company’s application page for this job.
4. No Liability: SpringCube is not liable for inaccuracies.