ELIQUENT Life Sciences

AI Engineer

• Serves as a leading technical resource for AI tooling, operations, and integrations across the enterprise.
• Architect and build end-to-end AI technical designs (including enterprise data pipelines, platform infrastructure, and systems integration) to ensure scalable, reliable deployment within the IT environment.
• Oversee data readiness and pipeline development, ensuring high-quality data availability and robust platform capabilities to support AI initiatives at scale.
• Support governance and risk management processes for AI, incorporating responsible AI practices and compliance measures (e.g., data privacy, bias mitigation) to ensure ethical, secure solutions.
• Continually develops or improves all enterprise architectural domains of applications, data, network, and infrastructure.
• Designs, implements, oversees, and continuously improves security, compliance, and availability.
• Develops strategies and direction for applicable systems solutions including disaster recovery.
• Assists with complex projects that require multiple technical disciplines serving as the escalation point of contact for technical projects from inception to delivery.
• Serves as a strategic advisor to the organization on all AI technology matters.

Senior AI Engineer

Business Analyst

• Work with cross-functional teams to identify and analyze business needs and opportunities for AI solutions, ensuring alignment with strategic goals.
• Research, test, and evaluate AI tools and technologies to assess their suitability and effectiveness for identified use cases and business requirements.
• Establishes and maintains Company AI operations including: Drive end-user adoption by coordinating AI solution deployment, user training, and change management initiatives to ensure successful integration and effective use of AI tools.
• Define success metrics and track AI initiative outcomes to measure ROI and ensure solutions deliver tangible business value.
• Collaborate with cross-functional stakeholders to translate business requirements into AI solution strategies and roadmaps aligned with organizational objectives.
• Coordinate and drive the continual improvement cycle by capturing feedback, assembling resources, and holding accountability for results.
• Support governance and risk management processes for AI, incorporating responsible AI practices and compliance measures (e.g., data privacy, bias mitigation) to ensure ethical, secure solutions.
• Develops adoption strategies and investment directionality for applicable systems and solutions.
• Establishes and maintains strategic relationships within the business leaders to meet ongoing demands.
• Serves as a strategic partner to the organization on all AI technology matters.

Senior AI Engineer

AI Business Analyst