AI/ML Engineer with Vendor Onboarding Experience- W2

Overview

Hybrid
Depends on Experience
Full Time
Able to Provide Sponsorship

Skills

API
Active Directory
Amazon Lambda
Amazon S3
Amazon SageMaker
Amazon Web Services
Artificial Intelligence
Authentication
Cloud Computing
Evaluation
Hosting
IT Management
Java
Large Language Models (LLMs)
Legal
Machine Learning (ML)
Management
Microsoft Exchange
Multi-factor Authentication
Negotiations
SFTP
SSO
SailPoint
Stakeholder Management
Step-Functions
Technical Support
Onboarding
Provisioning
Python
Vendor Management
Workday

Job Details

Role: AWS AI/ML Engineer with Vendor Onboarding Experience
Location: Charlotte, NC(Hybrid)
Duration: Long Term
Exp:9+
Contract: W2 only

Key Responsibilities:

Partner with Legal, IT, and business teams to ensure smooth implementation.
Conduct vendor evaluation, negotiation, and ongoing relationship management.
Build and deploy custom AI-driven solutions using Large Language Models (LLMs) and intelligent agents.
Integrate AI capabilities into existing and new legal tech tools.
Apply Retrieval-Augmented Generation (RAG) techniques for enhanced legal data insights.
Develop and maintain serverless, cloud-native applications leveraging AWS Lambda, S3, API Gateway, and Step Functions.
Build backend services in Python or Java; implement responsive UI using modern frameworks.
Connect Streamlit apps to Bedrock and SageMaker for AI model interaction.
Configure SSO/MFA for secure application access.
Work with SailPoint to set up IAM roles and access profiles.
Integrate with Workday and Active Directory for user provisioning and authentication.
Manage secure SFTP connections for data exchange.
Act as technical lead for legal technology initiatives.
Coordinate with geographically distributed consultants and internal teams.
Provide technical support and troubleshooting during implementation and production.

Required Skills & Qualifications:

5+ years experience in Full Stack Development.
Strong AI/ML background, with hands-on experience in LLMs, intelligent agents, and RAG-based solutions.
Proven track record in product onboarding and vendor management in legal tech or AI domains.
Proficiency in AWS services (Lambda, Bedrock, SageMaker, S3, API Gateway).
Strong programming skills in Python and/or Java.
Experience with serverless architecture and secure application deployment.
Familiarity with SailPoint IAM, SSO/MFA, Workday, and Active Directory integrations.
Experience with secure SFTP setup and data feeds.
Excellent stakeholder management skills and ability to work independently.

Preferred Skills:
Prior experience with Mitratech TeamConnect or other legal tech products.
Background in enterprise AI governance and compliance.
Familiarity with Streamlit application hosting.

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About Lorvenk Technologies LLC