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Director Python Ai Jobs in Massachusetts (NOW HIRING)

Knak Digital

AI Engineer

Becket, MA · Remote

You will be designing and shipping systems that people depend on, and you will have a direct voice ... Proficiency in both Python and JavaScript * Hands-on experience designing or building agentic ...

Biogen

Associate Director, AI/Data Science

Cambridge, MA

$176K - $242K/yr

About this role Biogen is seeking an Associate Director, AI/Data Science to help lead the strategic ... Expert programming skills with Python, R, LLMs, or other languages applied to large, complex, and ...

Biogen

Associate Director, AI/Data Science

Cambridge, MA · On-site

$176K - $242K/yr

About this role Biogen is seeking an Associate Director, AI/Data Science to help lead the strategic ... Expert programming skills with Python, R, LLMs, or other languages applied to large, complex, and ...

Pfizer

Full Stack AI Solutions Engineer

Cambridge, MA · On-site

Direct collaboration with medicinal chemists, biomedical researchers, and domain experts to deeply ... Development of scalable backend services using Python frameworks for data processing, embedding ...

WHOOP

Senior AI Researcher (Foundation AI)

Boston, MA · On-site

They are seeking a Senior AI Researcher to join their Foundation AI team, where the primary focus ... Python and deep learning frameworks (e.g., PyTorch, TensorFlow). • Familiarity with training ...

WHOOP

Senior AI Researcher (Foundation AI)

Boston, MA · On-site

We are seeking a Senior AI Researcher to join our Foundation AI team to drive the research ... Python and deep learning frameworks (e.g., PyTorch, TensorFlow). • Familiarity with training ...

XPO

Director, Artificial Intelligence - Hybrid

Boston, MA · Hybrid

$189K - $237K/yr

Proficient in AI frameworks (e.g., PyTorch) and programming languages (e.g., Python), with ... About the Director, Artificial Intelligence job: Pay, Benefits and more: * Competitive compensation ...

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All JobsPython Ai JobsDirector Python Ai JobsDirector Python Ai Jobs in Massachusetts

Director Python Ai information

What is the difference between Director Python Ai vs Data Scientist?

AspectDirector Python AiData Scientist
Required CredentialsAdvanced degrees (Master's/PhD), leadership experienceBachelor's or Master's in Data Science, Computer Science, or related fields
Work EnvironmentLeadership roles, strategic planning, team managementData analysis, model development, research
Industry UsageOversees AI projects, sets technical directionBuilds models, analyzes data, reports findings

The main difference is that a Director Python Ai focuses on leading AI initiatives and managing teams, while a Data Scientist primarily conducts data analysis and develops models. Both roles require strong Python and AI knowledge, but the Director role emphasizes strategic oversight and leadership.

What are the most commonly searched types of Python Ai jobs in Massachusetts? The most popular types of Python Ai jobs in Massachusetts are:
What cities in Massachusetts are hiring for Director Python Ai jobs? Cities in Massachusetts with the most Director Python Ai job openings:
Director Python Ai jobs near you

AI Engineer

Knak Digital

Becket, MA • Remote

Full-time

Medical, Dental, Vision, Life, Retirement

Posted 29 days ago

Job description

AI Engineer Location: Remote (US only)

Must be authorized to work in the US and obtain a Public Trust Clearance.

A small, technical digital services firm working with federal and commercial clients is hiring an AI Engineer to build and ship production-grade applications powered by large language models.

This is a hands-on engineering role. You will design agentic systems, build MCP servers and clients, maintain RAG pipelines, and write the Python backends that expose AI capabilities to real users, including senior government stakeholders. You will also help shape how the organization adopts generative AI responsibly across an active client portfolio.

This is not a research role. No foundation model training. You will be designing and shipping systems that people depend on, and you will have a direct voice in how that gets done.

What you will build:

  • Multi-step agents that plan, call tools, retrieve context, and take action with human-in-the-loop checkpoints
  • MCP servers and clients that securely connect models to client data, internal tools, and APIs
  • RAG pipelines covering chunking, embeddings, vector stores, retrieval, reranking, and grounding
  • LLM-powered features including copilots, document intelligence, search, summarization, and workflow automation
  • Evals and observability so the team knows what is working in production and what is regressing

What you need:

  • 5 or more years of professional software engineering experience, with at least 1 year shipping LLM-based or AI-powered features to production
  • Proficiency in both Python and JavaScript
  • Hands-on experience designing or building agentic systems using tool calling, multi-step reasoning, planning loops, or agent orchestration (LangGraph, CrewAI, OpenAI Agents SDK, Claude tool use, or equivalent)
  • Working knowledge of MCP or demonstrated ability to pick it up quickly
  • Experience building and deploying backend services and APIs (FastAPI, Flask, or similar)
  • Experience with at least one major LLM provider: OpenAI, Anthropic, Bedrock, Azure OpenAI, Vertex, or open-weight models
  • Working knowledge of RAG: embeddings, vector databases (pgvector, Pinecone, Weaviate, Qdrant, or similar), and retrieval evaluation
  • Comfort with prompt engineering, structured outputs, and tool/function calling
  • Experience writing evals for non-deterministic systems
  • Solid SQL and comfort with relational and unstructured data
  • Familiarity with at least one cloud platform: AWS, Azure, or GCP
  • Strong written communication -- you can explain AI tradeoffs to non-technical stakeholders

Nice to have:

  • Experience authoring MCP servers for non-trivial systems
  • Eval and observability platform experience (Braintrust, LangSmith, Langfuse, Arize, or custom)
  • Multi-agent orchestration and experience reasoning about agent failure modes
  • Fine-tuning, distillation, or LoRA experience
  • Docker, Kubernetes, and CI/CD for AI workloads
  • TypeScript/Node for full-stack AI features
  • Background supporting federal or government clients
  • Awareness of NIST AI RMF, FedRAMP, or related responsible AI frameworks

Requirements:

  • Must be a US citizen or legal resident, able to work domestically
  • Must be able to attain a low-level security clearance

Benefits:

  • Medical insurance (Aetna, Anthem, UnitedHealthcare, Kaiser, and more)
  • Dental insurance (Aetna, Delta Dental, Guardian, MetLife)
  • Vision insurance (Aetna/EyeMed, VSP)
  • Health Savings Account (HSA)
  • Life and AD&D insurance (MetLife)
  • Short-Term and Long-Term Disability (The Hartford)
  • Employee Assistance Program (EAP)
  • Health Advocate
  • Commuter Benefits (HealthEquity)
  • Voluntary benefits (Aflac, MetLife Pet, Legal Services, DIGI, Farmers auto/home)
  • 401K

All interviews will be conducted through video.