Senior Lead AI GenAI Architect - Remote / Telecommute

BlackCube Labs; United States; Remote; USD 180,000 - 320,000; Full time

Job summary

BlackCube Labs is seeking an experienced AI/GenAI Architect to lead the design, implementation, and delivery of enterprise-scale Generative AI solutions. You will own end-to-end architecture and collaborate with business and technical stakeholders to drive production adoption.

You will guide offshore teams, set engineering standards, and ensure measurable business outcomes through AI initiatives. This role demands hands-on leadership, deep GenAI expertise, and a track record delivering complex

Qualifications

• 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.
• The candidate will work closely with offshore teams, providing technical guidance, reviewing deliverables, and taking ownership of overall project success.
• A hands-on AI leader who combines strategic architecture expertise with practical implementation skills and a proven track record delivering enterprise GenAI solutions.

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.

Skills

LLM architecture

Python

Data ingestion

Vector databases

Azure AI Services

Observability

Governance

Healthcare domain

Tools

LangGraph

MCP

RAG frameworks

Azure AI Foundry

Job description

Our client is seeking an experienced AI / GenAI Architect / Senior Lead to drive the design, implementation, and delivery of enterprise-scale Generative AI and Agentic AI solutions. This role will lead end-to-end architecture, collaborate with business and technical stakeholders, and provide technical leadership to offshore teams while ensuring successful production adoption.

Key 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.

Required Skills:

• 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.
• The candidate will work closely with offshore teams, providing technical guidance, reviewing deliverables, and taking ownership of overall project success.
• Background verification clearance is required before onboarding.

Candidate Profile:

A hands-on AI leader who combines strategic architecture expertise with practical implementation skills and a proven track record delivering enterprise GenAI solutions.