Description
You will lead the design and delivery of generative AI solutions, ensuring secure, governed, and scalable implementations.
This role is remote.
Responsibilities
- Drive machine learning and AI project execution, including solution design and architecture.
- Implement modern GenAI agentic frameworks such as LangChain and LangGraph.
- Define security boundaries, model controls, and guardrails to prevent unverifiable outputs.
- Establish delivery governance, quality gates, and compliance criteria for release cycles.
- Integrate AI systems using MCP-style tool and data integration patterns.
Required Skills
- 10+ years of professional experience in software or data engineering.
- 4+ years driving Machine Learning and AI projects.
- Deep understanding of GenAI agentic designs and frameworks (LangChain/LangGraph).
- Experience with AI integration patterns, specifically MCP (Model Context Protocol).
- Proficiency in cloud services: Azure, GCP, or AWS.
- Strong knowledge of Agile delivery tools, including JIRA and Confluence.
Preferred Skills
- Bachelor's degree in Computer Science or related field.