Principal AI Engineer – Automation & AI at eClinical Solutions

Job description

eClinical Solutions is a global leader in clinical data intelligence, delivering the elluminate® Clinical Data Cloud® — an AI-powered platform driving agentic data review, SDTM automation, and RBQM for 18 of the top 50 pharmaceutical companies worldwide. As part of our eNOVA AI-First transformation, we are embedding AI across every pillar of clinical development and enterprise operations — compressing cycle times, improving data quality, and redefining how work gets done. As we scale our AI capabilities, we are building a high-impact, hands-on AI engineering function focused on delivering real, production-grade automation across the enterprise. You will make an impact: The Principal AI Engineer – Automation & AI is a hands-on technical leader responsible for designing, building, and deploying AI-powered automation solutions across eClinical Solutions. This role is builder-first (70–80% hands-on development) and operates within a small, high-output team (2–4 engineers). You will work directly with the CTAO and business leaders to identify high-value use cases and rapidly translate them into working AI systems in production. This is not a program management or oversight role. You are expected to build, ship, and iterate continuously, leveraging modern AI tooling and agentic frameworks to deliver measurable impact. Accelerate your skills and career within a fast-growing company while impacting the future of healthcare. Your day to day: Building & Shipping AI Systems Design and deploy agentic AI workflows and automation solutions across enterprise functions including R&D, Engineering, Professional Services, IT, Finance, Sales, and Marketing Build production-grade systems such as: Multi-agent workflows RAG-based applications Document intelligence and summarization pipelines Workflow and process automation solutions Use modern AI tools and frameworks including: Codex, Claude Code, Gemini, NotebookLM LangChain, LangGraph, LlamaIndex (or equivalents) Rapidly prototype, validate, and deploy solutions in weeks, not months Owning End-to-End Delivery Translate business problems into working AI systems Design lightweight architectures and iterate quickly Develop and implement: Prompt engineering strategies Orchestration logic API integrations and data pipelines Testing, validation, and monitoring frameworks Partner directly with stakeholders to refine outputs and drive adoption Driving High-Velocity Execution Deliver continuous output with weekly or bi-weekly releases Prioritize use cases based on: ROI and business impact Technical feasibility Speed to value Operate with minimal process and high accountability in a fast-paced environment Contributing to Scalable AI Foundations Build and maintain reusable assets including: Prompt templates Agent design patterns Integration utilities Contribute to lightweight standards for: Security and data handling Responsible AI practices Evaluation and performance monitoring Technical Leadership & Mentorship Provide technical guidance to a small team of AI engineers and automation specialists Lead by example through hands-on contribution Support the evolution of the AI engineering function as it scales Take the first step towards your dream career. Here is what we are looking for in this role. Qualifications: Bachelor’s degree in Computer Science, Engineering, Data Science, or a related technical field 6–10+ years of software engineering experience with recent hands-on work in AI/LLM systems Proven experience building and deploying: LLM-powered applications Agentic workflows Automation solutions in production environments Strong hands-on experience with tools such as: Codex, Claude Code, Gemini, NotebookLM (or similar AI-assisted development tools) LangChain, LangGraph, LlamaIndex, or equivalent frameworks Proficiency in: Python API development and system integration Cloud platforms (AWS, Azure, or GCP) Preferred Experience with: RAG architectures and vector databases AI evaluation frameworks, guardrails, and monitoring Workflow automation tools and enterprise integrations Experience working in regulated environments (e.g., life sciences, healthcare, financial services) Familiarity with clinical data, CDISC standards, or clinical development workflows Experience in high-growth or PE-backed SaaS environments AI Use Statement Employees are expected to appropriately leverage company-approved AI tools to improve productivity and quality while adhering to company policies, protecting confidential information, validating AI-generated content, and exercising sound professional judgment. AI is intended to augment—not replace—professional judgment, critical thinking, accountability, and decision-making. Accountability for all work remains with the employee. Accelerate your skills and career within a fast-growing company while impacting the future of healthcare. We have shared our story, now we look forward to learning yours! eClinical is a winner of the 2025 Top Workplaces USA Award for Remote Work! We have also received numerous Top Workplaces Culture Excellence Awards celebrating our exceptional company vision, values, and work-life balance. See all the details here: topworkplaces.com eClinical Solutions is a people first organization. Our inclusive culture values the contribution that diversity brings to our business. We celebrate individual experiences that connect us and that inspire innovation in our community. Our team seeks out opportunities to learn, grow and continuously improve. Bring your authentic self, you are welcome here! We are proud to be an equal opportunity employer that values diversity. Our management team is committed to the principle that employment decisions are based on qualifications, merit, culture fit and business need. Pay Range US Pay Ranges $160,000 — $200,000 USD

Requirements

Must-haves

As we scale our AI capabilities, we are building a high-impact, hands-on AI engineering function focused on delivering real, production-grade automation across the enterprise.
The Principal AI Engineer – Automation & AI is a hands-on technical leader responsible for designing, building, and deploying AI-powered automation solutions across eClinical Solutions.
This is not a program management or oversight role. You are expected to build, ship, and iterate continuously, leveraging modern AI tooling and agentic frameworks to deliver measurable impact.
Accelerate your skills and career within a fast-growing company while impacting the future of healthcare.
Building & Shipping AI Systems
Design and deploy agentic AI workflows and automation solutions across enterprise functions including R&D, Engineering, Professional Services, IT, Finance, Sales, and Marketing
Multi-agent workflows
RAG-based applications
Document intelligence and summarization pipelines
Workflow and process automation solutions
Codex, Claude Code, Gemini, NotebookLM
LangChain, LangGraph, LlamaIndex (or equivalents)
Rapidly prototype, validate, and deploy solutions in weeks, not months
Owning End-to-End Delivery
Translate business problems into working AI systems
Design lightweight architectures and iterate quickly
Prompt engineering strategies
Orchestration logic
API integrations and data pipelines
Testing, validation, and monitoring frameworks
Partner directly with stakeholders to refine outputs and drive adoption
Driving High-Velocity Execution
Deliver continuous output with weekly or bi-weekly releases
ROI and business impact

Nice-to-haves

None flagged.

Application prep

Use the role’s language and application details while tailoring your materials.

Keywords to mirror

aiapillmpythonawsazuregcp

Platform: greenhouse
Effort: quick

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