eClinical SolutionsRemote
Principal AI Engineer – Automation & AI
United States of America
Full Time
2 weeks ago
$160,000 - $200,000 USD
H1B Sponsor Likely
Key skills
AI-powered automation solutionsLLM-powered applicationsAgentic workflowsPythonAPI developmentSystem integrationCloud platforms - AWSCloud platforms - AzureCloud platforms - GCPCodexClaude CodeGeminiNotebookLMLangChainLangGraphLlamaIndexRAG architecturesVector databasesAI evaluation frameworksWorkflow automation toolsEnterprise integrationsClinical dataCDISC standardsStakeholder CollaborationRAILLMClaudeRAGAgenticBIAWSAzureGCPSaaSCollaborationSales
About this role
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. The Principal AI Engineer – Automation & AI is responsible for designing, building, and deploying AI-powered automation solutions across the enterprise, with a focus on hands-on development and collaboration with business leaders.
Responsibilities:
- 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
- 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
- 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
- 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
- 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
Requirements:
- 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)
- 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