Principal AI Engineer – Automation & AI

eClinical Solutions

Principal AI Engineer at eClinical Solutions designing and deploying AI-powered automation solutions across various enterprise functions. Leading a small team to build production-grade systems and workflows.

Posted 4/10/2026full-timeRemote • Massachusetts • 🇺🇸 United StatesLead💰 $160,000 - $200,000 per yearWebsite

Tech Stack

Tools & technologies

AWSAzureCloudGoogle Cloud PlatformPython

About the role

Key responsibilities & impact

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

What you’ll need

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)

Benefits

Comp & perks

Health insurance
Retirement plans
Paid time off
Flexible work arrangements
Professional development

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills & Tools

AI workflowsautomation solutionsmulti-agent workflowsRAG-based applicationsdocument intelligenceprompt engineeringAPI integrationsdata pipelinesPythoncloud platforms

Soft Skills

stakeholder engagementteam leadershiphands-on contributionaccountabilityadaptabilityproblem-solvingcommunicationcollaborationprioritizationiteration

Certifications

Bachelor’s degree in Computer ScienceBachelor’s degree in EngineeringBachelor’s degree in Data Science