# i-Pharm Consulting — Director of Artificial Intelligence

## Posting metadata

- Canonical JD URL: https://www.linkedin.com/jobs/view/4451678483
- Provider: LinkedIn public job posting
- Location/source location: Boston, MA
- Work model: Hybrid, Boston, Massachusetts
- Compensation: $260,000.00/yr - $310,000.00/yr
- Travel: Not disclosed
- Posted: Unavailable
- LinkedIn relative posting time at capture: 5 days ago
- Applicants: 59 applicants
- Generated: 2026-08-16 04:42 PM EDT
- Elapsed since posting: Unavailable

## Fit decision

- Positioning track: Technical manager
- Central mandate: Remain hands-on while building reusable agent frameworks, multi-agent architectures, enterprise GenAI platforms, automation, governance, and observability for a biotechnology company.
- Fit outcome: PASS
- Weighted fit score: 92.8%
- Keyword diagnostic: 21/22 (95.5%); missing: system architecture
- Validation: PASS: content, positioning, word count, PDF page count, text extraction, publication, and public URL checks completed.

## Hard and material gaps

- The environment lists AutoGen, CrewAI, Azure AI Search, n8n, Dify, Glean, Langfuse, and AgentOps; Keith has adjacent platform experience but no source-supported hands-on evidence for those named tools.
- The posting is hybrid but does not disclose the required office cadence.

## Evidence map

| Requirement | Weight | Evidence score | Keith evidence |
|---|---:|---:|---|
| Deep hands-on agentic AI expertise | 3 | 3/3 | Direct recent AssistX experience across agents, RAG, orchestration, tool use, and workflow automation. |
| Build production-grade AI systems | 3 | 3/3 | Shipped and operates commercial production AI, SaaS, cloud, and analytics systems. |
| Strong software engineering and architecture | 3 | 3/3 | Hands-on Python, APIs, cloud architecture, distributed systems, testing, and delivery. |
| Operate strategically while remaining hands-on | 3 | 3/3 | Repeated player-coach roles as founder, VP, Director, and AWS specialist. |
| Scale enterprise AI platforms | 3 | 2/3 | Strong platform and enterprise-advisory evidence; current AssistX company scale is smaller than a large biotechnology enterprise. |
| LangChain, LangGraph, and MCP | 2 | 3/3 | Direct, source-supported hands-on experience. |
| AutoGen, CrewAI, Azure AI Search, n8n, Dify, Glean, Langfuse, AgentOps | 1 | 1/3 | Adjacent orchestration, cloud, evaluation, and observability experience but not these named tools. |
| AI governance, observability, and deployment standards | 2 | 3/3 | Direct MassMutual, AWS, and AssistX evidence. |
| Life-science experience | 1 | 3/3 | Ph.D. plus biotech, pharma, bioinformatics, and regulated-product delivery. |
| Boston hybrid work model | 2 | 3/3 | Keith is Boston-based and accepts Massachusetts hybrid roles within stated tolerance. |

## Artifact metadata

- Resume URL: https://bit.ly/4zjS7dH
- Cover letter URL: https://bit.ly/4zpclTu
- Resume PDF: 2 pages, 273140 bytes
- Cover PDF: 1 page, 20758 bytes

## Full normalized job description

Director/Sr. Director of AI
|
Boston
,
Massachusetts Area | Hybrid
Build the AI Operating System of the Future.
Have you built AI products, platforms, or agentic systems in the technology sector and want to apply those skills to something that genuinely impacts lives?
This is an opportunity to take the lessons learned from leading-edge AI environments and apply them within healthcare, helping to accelerate innovation and improve outcomes for patients worldwide. Experience in life sciences is welcome but not required.
A rapidly growing biotechnology organization is investing heavily in enterprise AI and is seeking a Senior Director of Agentic AI & Automation to design and scale next-generation AI capabilities across the business. This is an opportunity for a highly technical AI leader to build reusable agent frameworks, multi-agent architectures, enterprise AI platforms, and automation capabilities that can be leveraged across commercial, medical, R&D, and corporate functions.
This is not a people-management-only leadership role.
We're looking for someone who still enjoys building, coding, architecting, and solving hard technical problems at the highest level.
What You'll Do
Build and scale enterprise Agentic AI capabilities
Design multi-agent architectures and orchestration frameworks
Develop AI automation platforms and reusable agent frameworks
Establish standards around AI governance, observability, and deployment
Architect enterprise-wide GenAI solutions
Evaluate emerging AI technologies and identify future opportunities
Partner with engineering, infrastructure, and data teams
Remain actively involved in solution design and development
Technical Environment
AI & Agentic AI
LLMs, RAG, Agentic AI, Multi-Agent Systems
Prompt Engineering, Fine-Tuning, Model Evaluation
LangChain, LangGraph, AutoGen, CrewAI
MCP, Agent Protocols
Software Engineering
Python, SQL, APIs, Git
Production Software Development
System Architecture & Design
Cloud & AI Platforms
Databricks
Azure AI Services / Azure AI Search
AWS SageMaker
Google Vertex AI
Vector Databases
Automation & Governance
n8n, Dify, Glean
RPA Technologies
Langfuse, AgentOps
AI Governance & Observability
What We're Looking For
Deep hands-on Agentic AI expertise
Experience building production-grade AI systems
Strong software engineering and architectural capabilities
Ability to operate strategically while remaining hands-on
Experience scaling enterprise AI platforms
Builder mentality with a willingness to roll up your sleeves
Strong collaboration and communication skills