AI / GenAI Architect / Sr. Lead (Contract)

BlackCube Labs; United States; Remote; USD 150,000 - 190,000; Part time

Benefits offered by this job

Health benefits

Referral program

Excellent growth opportunities

Job summary

BlackCube Labs is seeking an AI/GenAI Architect/Sr. Lead for contract work in Dayton, OH or remote. The role focuses on assessing business processes, designing end-to-end AI solutions, and leading hands-on implementation across security, governance, and evaluation methodologies.

You will collaborate with cross-functional teams to align objectives, manage delivery risks, and drive adoption and measurable business outcomes through AI initiatives.

Qualifications

• Ability to architect and implement Agentic AI systems using LLMs, LangGraph, MCP and RAG.
• Strong Python expertise and data ingestion/retrieval capabilities.
• Experience with vector databases and end-to-end AI application development.
• Hands-on use of Azure AI Foundry, Azure AI Services or similar platforms.
• Knowledge of observability, governance, reliability and memory engineering; healthcare exp is a plus.

Responsibilities

• Assess processes, data landscapes to identify GenAI opportunities.
• Design and own end-to-end AI solution architecture including security and evaluation.
• Lead hands-on implementation and establish best practices in engineering and prompts.
• Collaborate with business, IT, security and engineering to drive delivery.
• Drive deployment, adoption and measurement of AI-driven outcomes.

Skills

Agentic AI systems

LLMs

LangGraph

MCP

RAG

Python

data ingestion

retrieval

vector databases

AI application development

Tools

Azure AI Foundry

Azure AI Services

Job description

Our Client, an IT Services and Consultant company, is looking for an AI / GenAI Architect / Sr. Lead (Contract) for their Dayton¸ OH/Remote location.

Responsibilities:

• Assess business processes, systems, and data landscapes to identify high-impact GenAI opportunities.
• Design and own end-to-end AI solution architecture, including LLM selection, agent design, RAG frameworks, integrations, security, governance, and evaluation methodologies.
• Lead hands-on implementation efforts and establish engineering and prompt-engineering best practices.
• Collaborate with business, IT, security, and engineering teams to align objectives and manage delivery risks.
• Drive successful deployment, adoption, and measurement of business outcomes through AI solutions.

Requirements:

• Strong experience architecting and implementing Agentic AI systems using LLMs, LangGraph, MCP, and RAG.
• Expertise in Python, data ingestion/retrieval, vector databases, and AI application development.
• Hands-on experience with Azure AI Foundry, Azure AI Services, or similar AI platforms.
• Deep understanding of observability, governance, reliability, workflow orchestration, and context/memory engineering.
• Healthcare industry experience is highly preferred.

Why Should You Apply?

• Health Benefits
• Referral Program
• Excellent growth and advancement opportunities