Solutions Architect

Company Description

Abio Technologies is revolutionizing the life sciences industry by designing AI-driven, automation-centric solutions to address global health, sustainability, and biotechnology challenges. The company tackles the digital divide between laboratory operations and data management, enhancing scalability and innovation in research and development. By providing a Unified R\&D Data Hub, Abio empowers scientists to eliminate manual data tasks, enabling faster and more efficient discoveries. Guided by its four core pillars—Autonomous Lab Workflows, Augmented Intelligence, Precision Science, and Trusted Data Fabric—Abio delivers cutting-edge tools and platforms that support reliable, traceable, and innovative scientific research worldwide.

Role Description

We’re looking for a Solutions Architect to partner with leading biotech and pharma organizations to digitize and automate R\&D workflows. This is a hybrid pre-sales \+ post-sales role where you’ll own the full customer journey—from solution design to successful implementation and adoption.

You’ll work at the intersection of science and technology, helping customers modernize lab operations, integrate data systems, and scale automation across their organizations.

What You’ll Do

Pre-Sales

• Partner with Sales to lead discovery, solution design, and technical strategy
• Architect solutions across LIMS, ELN, lab instruments, automation platforms, and enterprise systems
• Translate customer workflows into scalable, high-impact technical solutions

Post-Sales

• Lead end-to-end implementations from kickoff through go-live
• Oversee integrations across lab systems, data pipelines, and automation platforms
• Drive adoption and long-term customer success

Across the Lifecycle

• Act as a trusted advisor on lab digitalization and automation strategy
• Collaborate with Product \& Engineering to solve complex challenges
• Define best practices for data architecture and system integration

What You Bring

• 5–10\+ years in life sciences, enterprise software, or solutions architecture
• Experience supporting both pre-sales and implementation delivery
• Strong understanding of lab workflows (LIMS, ELN, automation, data systems)
• Experience with APIs, integrations, and cloud platforms
• Excellent communication skills with both scientists and technical stakeholders

Nice to Have

• Background in bioinformatics, data engineering, or lab automation
• Experience delivering enterprise SaaS implementations