More jobs:
AI Specialist
Job in
Boston, Suffolk County, Massachusetts, 02115, USA
Listed on 2026-06-01
Listing for:
3B Staffing
Full Time
position Listed on 2026-06-01
Job specializations:
-
IT/Tech
AI Engineer, Machine Learning/ ML Engineer
Job Description & How to Apply Below
- Location
:- Remote, just need to work EST Hours
- Duration
: 6+ months, extensions are possible.
*** Linked In Profiles are Required! ***
The Role:
- We're looking for strong, hands-on AI Architects with deep experience in Generative AI (GenAI) and (ideally) a strong foundation in Identity and Access Management (IAM).
- This role is pivotal in building advanced AI-powered copilot agents with automation capabilities across provisioning, monitoring, threat detection, and response.
- Ideal candidates are those who can architect and build, not just ideate-this is not about assembling tools, but understanding and applying GenAI concepts at a deep technical level.
- Design and build AI copilot agents leveraging GenAI frameworks
- Implement solutions using RAG (Retrieval-Augmented Generation) and Vector Store methodologies
- Develop and expose FAST and REST APIs
- Collaborate with data scientists and engineering teams to build intelligent, scalable systems
- They will Architect AI automation solutions for these 4 IAM workflows:
- Provisioning
- Monitoring
- Threat Detection
- Incident Response
- Proven hands-on experience in Generative AI/Conversational AI (e.g., building copilots, fine-tuning LLMs)
- Deep knowledge of IAM systems and AI-driven automation
- Expertise in:
- RAG architecture: RAG is a way of making AI (like ChatGPT-style models) smarter and more accurate by letting it pull in data from outside sources while answering questions.
- Large language models (LLMs) like GPT can forget details or not have the latest data. RAG helps fix this by combining search and generation.
It lets the AI "look things up" in real time (from databases, documents, etc.) and use that info in its answers.
- Vector databases (e.g., FAISS, Pinecone, Weaviate)
- Python (primary language)
- REST APIs
- Familiarity with Java is a plus, but most work will be in Python
- Ability to operate at the Architect level while remaining technically hands-on
- Experience integrating GenAI into cybersecurity or IAM platforms
- Familiarity with tools like Lang Chain, Llama Index, or OpenAI APIs
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