Sr. AI Engineer

Eliquent Life Sciences, Inc•Remote, US,

14h•$165,000 - $180,000•Remote

About The Position

ELIQUENT Life Sciences is seeking a Senior AI Engineer to lead the design, development, deployment, and ongoing support of AI tools and applications across the organization. This role reports to the Director of Enterprise Applications and is responsible for delivering scalable, high-impact AI solutions that drive business value while ensuring alignment with enterprise technology strategy. The position requires strong technical expertise, strategic thinking, and the ability to translate complex concepts into practical, business-driven solutions. The Senior AI Engineer will play a key role in balancing innovation, business agility, and operational reliability, ensuring AI capabilities are effectively integrated across the organization. This role also requires a high degree of ownership, conceptual thinking, and persistence to deliver measurable business value across diverse functions. The role involves close collaboration with cross-functional stakeholders to shape and execute AI strategies aligned with overall business objectives. The successful candidate will demonstrate deep technical proficiency combined with leadership capabilities, partnering closely with the Chief AI & Digital Officer, Chief Information Officer, and IT leadership to guide architecture decisions and support system and operational direction. In addition to solution development, this role will focus on building strong stakeholder relationships and driving adoption of AI initiatives across the enterprise. Key responsibilities include system design and administration, scripting, automation, and enabling efficient, scalable processes that support both current and future business needs.

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.

Responsibilities

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