Senior AI Engineer

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ELIQUENT Life Sciences

WebsiteLinkedInAll Job Openings

501 - 1000 employees

🧬 Biotechnology

💊 Pharmaceuticals

🤝 B2B

Biotechnology • Pharmaceuticals • B2B

ELIQUENT Life Sciences is a regulatory consulting firm that provides integrated regulatory, quality, and safety solutions to life sciences companies. They support pharmaceutical, biotechnology, medical device, and combination product sponsors across the product lifecycle — from early development and CMC strategy through regulatory submissions, pharmacovigilance, quality/compliance, remediation, and post‑approval support. ELIQUENT combines former regulators, industry leaders, and technical specialists to deliver hands‑on execution and strategic guidance for global market authorization and lifecycle management.

📋 Description

• 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.

🎯 Requirements

• Minimum of 5 years of experience working in data management, infrastructure ownership, or enterprise automation initiatives with demonstrated knowledge in enterprises developing code and custom scripts used for architecture, data pipelines, applications, and infrastructure. • At least 3 years experience in schema design, tautology layers, graph & relational databases, cloud operations, and related systems. • Deep expertise with the Microsoft 365 and Azure technology stack. • Proven track record leading and managing systems on cloud infrastructure. • Demonstrated experience across a broad AI technology stack (e.g., Claude, OpenAI, graph systems, Copilot, etc.). • Knowledge of current and trending AI practices, technologies, and regulations. • Demonstrates effectiveness in a complex, global, team-oriented environment with exemplary communications (oral, written, and presentation) and collaboration skills. • Demonstrated desire to continue to learn and grow while able to quickly apply new skills is critical.

🏖️ Benefits

• Competitive Compensation: Eliquent offers a competitive salary and comprehensive benefits package for full-time and part-time employees, including health, dental, vision, and life insurance, a 401(k) plan with employer match, a generous paid time off program, and additional perks. • Career Development: Opportunities for professional growth and advancement within a supportive and innovative environment. • Work-Life Balance: Flexible work arrangements and a commitment to maintaining a healthy work-life balance.