Principal AI Engineer – Automation & AI
Company websiteeclinicalsol.com (eClinical Solutions, opens in new tab)
Base salary $160K to $200K
Employer-published annual base salary, USD. Advertised base range in Mansfield, MA
You apply on the employer's own site. Six Figure Work does not handle applications.
- LocationMansfield, MA
- WorkplaceWorkplace not stated
- Status at last checkSource accepting applications when checked
- Last checked (3 h ago) · observed since
About this job
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: https://topworkplaces.com/company/eclinical-solutions/
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
Source: eClinical Solutions on Greenhouse · View original posting (opens in new tab)
How this pay compares
Base floor $160,000, above 56% of the 228 Data & ML roles in Massachusetts on this site. The employer's range is $40,000 wide, 25% of the floor. Observed open for 15 days so far (since Oct 24, 2026).
Pay in context
Among 228 Data & ML roles in Massachusetts listed on this site, the median base floor is $154,400 and the middle half runs from $128,662 to $180,000. This role's floor ($160,000) is above 56% of them; 1 other lists the same floor.
Base floors of 228 Data & ML roles in Massachusetts
Table
| Floor band | Share | Postings |
|---|---|---|
| $100K to $125K | 21.1% | 48 |
| $125K to $150K | 24.6% | 56 |
| $150K to $175K | 25.0% | 57 |
| $175K to $200K | 18.4% | 42 |
| $200K to $225K | 6.6% | 15 |
| $225K to $250K | 3.1% | 7 |
| $250K to $275K | 0.9% | 2 |
| $275K and up | 0.4% | 1 |
How this is calculated
- Statistic
- Base floor distribution of the cohort
- Formula
- count of cohort postings in each $25K band of published base floor / postings in the cohort
- Denominator
- 228 open postings with this job family in Massachusetts
- Sample size
- 228
- Hidden when
- needs at least 30 postings in the cohort
- Calculation version
- jobpage-analysis-v1
- Data as of
- 2026-11-08
- Employer set
- Open jobs on this site that publish a base salary of $100,000 or more
Only jobs on this site count, and each one publishes a base salary of $100,000 or more, so this compares six-figure jobs with each other, not with the whole market. Computed Nov 8, 2026.
State against nationwide
Median base floor in Massachusetts vs nationwide
Table
| Value | postings | |
|---|---|---|
| Data & ML, Massachusetts | $154,400 | 228 |
| Data & ML, all states | $165K | 4,592 |
| This job's base floor (marked) | $160K |
How this is calculated
- Statistic
- Median floor, state vs nationwide
- Formula
- median published base floor of each cohort
- Denominator
- open postings of this job family
- Sample size
- 228 in Massachusetts; 4592 nationwide
- Hidden when
- needs at least 30 postings in both cohorts
- Calculation version
- jobpage-analysis-v1
- Data as of
- 2026-11-08
- Employer set
- Open jobs on this site that publish a base salary of $100,000 or more
How eClinical Solutions pays
1 of eClinical Solutions's 6 live roles on this site list a higher base floor and 4 list a lower one. Across them the median floor is $151,000; the middle half runs from $136,500 to $158,000.
Base floors of eClinical Solutions's 6 live roles
Table
| Floor band | Share | Roles |
|---|---|---|
| $100K to $125K | 16.7% | 1 |
| $125K to $150K | 16.7% | 1 |
| $150K to $175K | 66.7% | 4 |
How this is calculated
- Statistic
- Employer base floor distribution
- Formula
- count of the employer's open roles in each $25K band of published base floor / its open roles
- Denominator
- 6 open public roles at this employer
- Sample size
- 6
- Hidden when
- needs at least 5 roles
- Calculation version
- jobpage-analysis-v1
- Data as of
- current
- Employer set
- Open jobs on this site that publish a base salary of $100,000 or more
Similar pay elsewhere
Other employers' Data & ML roles in Massachusetts with the nearest published base floor to $160,000, one per employer.
- Associate Director, Customer Master Lead Vertex Pharmaceuticals · base floor $160,000
- Senior Machine Learning Scientist Axon · base floor $159,750
- Forward Deployed Engineer (FDE) Data42 (Palantir Foundry) Novartis · base floor $160,300
- Brand Insights & Analytics Lead, US Oncology Takeda · base floor $160,722
- Research Scientist, Mobile Manipulation Robotics (I/O) Amazon · base floor $159,200
This listingPrincipal AI Engineer – Automation & AI$160K to $200K
Principal Software Engineer$152K to $190K
Principal Software Architect$168K to $210K
Principal Software Development Engineer in Test$150K to $175K
Senior Software Engineer$132K to $165K
Senior Clinical Data Manager$110K to $130K
Chart as a table
| Role | Published base |
|---|---|
| Principal AI Engineer – Automation & AI (this listing) | $160K - $200K |
| Principal Software Engineer | $152K - $190K |
| Principal Software Architect | $168K - $210K |
| Principal Software Development Engineer in Test | $150K - $175K |
| Senior Software Engineer | $132K - $165K |
| Senior Clinical Data Manager | $110K - $130K |
Observed changes
No changes to the pay or listing since we first observed this role on Oct 24, 2026 (15 days ago).
- First observed on the employer's board
- Began meeting the published-salary criteria
- Observed since
- Employer-stated posting date
- 2026-03-03
Where this pay comes from
Location as the employer wrote it: Mansfield, Massachusetts, United States
$160,000—$200,000 USD
- Method
- Employer text, read with fixed rules and re-verified
- Checked
- Rule set
- us-base-v2
The pay passage appears in the employer's own job text. Fixed, deterministic rules located it, and the passage below was checked against the stored copy of the posting.
What we verified
- The pay figures come from the employer's own listing, quoted exactly above.
- The pay is an annual base salary in US dollars with a minimum of at least $100,000.
- The role was publicly listed on the employer's job board when last checked.
We do not verify what the employer will actually offer, whether the employer is still recruiting for the role, or anything beyond what the employer published. Full methodology.