Senior AI Engineer

ELIQUENT Life Sciences

Senior AI Engineer leading design, development, and support of AI tools at Eliquent Life Sciences. Collaborating with stakeholders to drive AI strategies and deliver scalable solutions.

Posted 6/19/2026full-timeRemote • 🇺🇸 United StatesSenior💰 $165,000 - $180,000 per yearWebsite

Tech Stack

Tools & technologies

AzureCloud

About the role

Key responsibilities & impact

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

What you’ll need

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

Comp & perks

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.

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills & Tools

AI toolingdata managementinfrastructure ownershipenterprise automationschema designgraph databasesrelational databasescloud operationsdata pipelinescustom scripts

Soft Skills

communicationcollaborationstrategic advisingproject managementproblem-solvingadaptabilityteam-orientedleadershiprisk managementethical practices