

Genisis Technology Solutions
Senior AI Engineer __ W2 (NY/MA/DC)
⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a Senior AI Engineer (W2) with a contract length of 40 hours per week, based in Washington, DC, Boston, MA, or New York, NY. Pay ranges from $45.00 to $75.00 per hour. Requires 8+ years of engineering experience, strong Azure and DevOps skills, and expertise in LLM applications.
🌎 - Country
United States
💱 - Currency
$ USD
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💰 - Day rate
600
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🗓️ - Date
December 6, 2025
🕒 - Duration
Unknown
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🏝️ - Location
On-site
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📄 - Contract
W2 Contractor
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🔒 - Security
Unknown
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📍 - Location detailed
New York, NY 10040
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🧠 - Skills detailed
#Compliance #SharePoint #DevOps #Infrastructure as Code (IaC) #Security #ChatGPT #GraphQL #REST (Representational State Transfer) #Leadership #AI (Artificial Intelligence) #Workday #Documentation #Azure
Role description
Senior AI Engineer (W2 Only)
Locations: Washington, DC | Boston, MA | New York, NY
Employment Type: Contract – W2 Only
We are seeking a Senior AI Engineer to design and scale our enterprise generative-AI platform, build secure LLM services, develop custom GPT/ChatGPT Enterprise integrations, and drive organisation-wide adoption of AI solutions.
Role Highlights
Architect REST/GraphQL services & SDKs around LLM capabilities
Integrate AI with ServiceNow, Salesforce, SharePoint/OneDrive, iManage, Workday, Microsoft 365
Build/maintain vector stores & RAG pipelines (Azure Search, Pinecone, pgvector)
Develop custom GPTs with governance, connectors, analytics & safety controls
Evaluate platforms (Harvey, Legora, etc.) for accuracy, latency, reliability & cost
Ensure security, privacy, compliance – SOC2/ISO alignment
Enable adoption with documentation, training, templates & starter GPTs
Ideal Fit:
8+ years engineering experience (3+ in LLM applications)
Strong Azure + DevOps background (K8s, CI/CD, IaC)
Deep RAG + embedding + vector DB expertise
ChatGPT Enterprise / Custom GPT implementation experience
Excellent communication + cross-functional leadership
Preferred: Legal/regulated industry, Microsoft 365 Copilot, SOC2/ISO exposure
Pay: $45.00 - $75.00 per hour
Expected hours: 40.0 per week
Benefits:
Health insurance
Application Question(s):
Interested in Working on our w2 (y/n)
Visa status?
Current location?
Can go onsite (Washington, DC | Boston, MA | New York, NY) ?
Experience:
AI Engineer: 2 years (Required)
Azure: 1 year (Required)
DevOps: 1 year (Required)
ChatGPT Enterprise / Custom GPT implementation : 1 year (Required)
Work Location: In person
Senior AI Engineer (W2 Only)
Locations: Washington, DC | Boston, MA | New York, NY
Employment Type: Contract – W2 Only
We are seeking a Senior AI Engineer to design and scale our enterprise generative-AI platform, build secure LLM services, develop custom GPT/ChatGPT Enterprise integrations, and drive organisation-wide adoption of AI solutions.
Role Highlights
Architect REST/GraphQL services & SDKs around LLM capabilities
Integrate AI with ServiceNow, Salesforce, SharePoint/OneDrive, iManage, Workday, Microsoft 365
Build/maintain vector stores & RAG pipelines (Azure Search, Pinecone, pgvector)
Develop custom GPTs with governance, connectors, analytics & safety controls
Evaluate platforms (Harvey, Legora, etc.) for accuracy, latency, reliability & cost
Ensure security, privacy, compliance – SOC2/ISO alignment
Enable adoption with documentation, training, templates & starter GPTs
Ideal Fit:
8+ years engineering experience (3+ in LLM applications)
Strong Azure + DevOps background (K8s, CI/CD, IaC)
Deep RAG + embedding + vector DB expertise
ChatGPT Enterprise / Custom GPT implementation experience
Excellent communication + cross-functional leadership
Preferred: Legal/regulated industry, Microsoft 365 Copilot, SOC2/ISO exposure
Pay: $45.00 - $75.00 per hour
Expected hours: 40.0 per week
Benefits:
Health insurance
Application Question(s):
Interested in Working on our w2 (y/n)
Visa status?
Current location?
Can go onsite (Washington, DC | Boston, MA | New York, NY) ?
Experience:
AI Engineer: 2 years (Required)
Azure: 1 year (Required)
DevOps: 1 year (Required)
ChatGPT Enterprise / Custom GPT implementation : 1 year (Required)
Work Location: In person






