AI Solutions Engineer, Life Sciences

IntuitionLabs; United States; Remote; USD 88,000 - 109,000; Full time

Benefits offered by this job

Fully remote work

Flexible hours

Paid access to AI tools

Job summary

IntuitionLabs is seeking a senior engineer to design and deliver secure integrations enabling AI tools to access approved client data and systems in biotech and pharmaceutical environments. You’ll own connectors, identity and access controls, and practical AI tool integrations, with direct collaboration with client IT and security teams.

You’ll review junior developer code, help set engineering standards, and explain designs to technical and non-technical leaders.

Qualifications

• Five+ years building and operating production software or IT systems
• Shipped integrations involving APIs and identity standards (OAuth, OIDC, SAML, SCIM) and a major cloud platform
• Strong Python or TypeScript skills
• Hands-on with LLM APIs, MCP, or agents, and AI coding tools
• Ability to communicate designs to technical and non-technical audiences
• Excellent English; available during NA Eastern and Pacific hours

Responsibilities

• Build MCP servers and connectors enabling controlled AI access to client platforms and data
• Configure identity and access for AI deployments (SSO, SCIM, permissions, audit logs)
• Implement data protections (sensitivity labels, encryption, read-only access, retention, log export)
• Develop document pipelines, retrieval over approved materials, agents, and automations
• Explain designs to client IT, security, and quality teams; prepare approval documents
• Review junior developer code and establish engineering practices

Skills

Python

TypeScript

OAuth/OIDC/SAML/SCIM

LLM APIs

Cloud platforms

Communication

Tools

Major cloud platform

Job description

Role overview

Design and deliver secure integrations that let AI tools work with approved client data and systems in biotech and pharmaceutical environments. The role covers connectors, identity and access controls, and practical AI tools, with direct collaboration with client IT and security teams. You’ll also review a junior developer’s code and help set engineering standards.

Responsibilities

• Build MCP servers and connectors that provide controlled AI access to client platforms and data.
• Configure identity and access for AI deployments, including single sign-on, SCIM provisioning, permissions, and audit logging.
• Implement data protections such as sensitivity labels, encryption, read-only access, retention, and log export.
• Develop document pipelines, retrieval over approved materials, agents, and automations.
• Explain technical designs to client IT, security, and quality teams, and prepare approval documentation.
• Review junior developer code and establish engineering practices.

Requirements

• At least five years building and operating production software or IT systems.
• Shipped integrations involving APIs, identity standards such as OAuth, OIDC, SAML, or SCIM, and a major cloud platform.
• Strong Python or TypeScript skills.
• Hands-on work with LLM APIs, MCP, or agents, and regular use of AI coding tools.
• Ability to communicate designs to both technical teams and non-technical leaders.
• Excellent spoken and written English, plus availability during North American Eastern and Pacific business hours.

Nice to have

• Experience in life sciences, healthcare, or another regulated industry.

Benefits and work setup

• Fully remote role based in Canada, with flexible hours.
• Salary range of CAD 125,000–155,000.
• Work on client systems from design through production, collaborating directly with the founder and security lead.
• Paid access to current AI tools.