AI Lead
Harnham
Job Description
AI Lead
New York City, Remote or Hybrid
This six-month contract offers the opportunity to shape and deliver innovative AI solutions within a fast-paced project environment. You will combine technical leadership with hands-on development, helping transform emerging AI capabilities into practical products, prototypes, and experiences.
The Company
They are an innovation-focused organization that partners with businesses to explore new opportunities through technology and product development. Their teams work across strategy, design, product, and engineering to solve complex challenges and bring new ideas to life. This project provides exposure to cutting-edge AI initiatives with a strong emphasis on practical delivery and experimentation.
The Role and Deliverables
- Lead the AI strategy and technical direction for a major innovation project.
- Design, build, and rapidly iterate AI-powered prototypes and experiences.
- Develop prompts, agents, AI workflows, and retrieval-augmented generation (RAG) solutions.
- Explore and implement agentic AI architectures, including orchestration and multi-agent approaches.
- Integrate AI solutions with APIs, workflows, and existing systems.
- Collaborate with multidisciplinary teams to move quickly from concept through to working prototype while providing technical leadership throughout the engagement.
Your Skills & Experience
- Strong experience building Generative AI and LLM-powered applications.
- Proven capability in prompt engineering, prompt architecture, and AI workflow design.
- Experience developing AI agents and agentic workflows.
- Strong knowledge of retrieval-augmented generation (RAG) and AI application development.
- Experience with agent orchestration and multi-agent architecture patterns.
- Ability to evaluate AI technologies and select the most appropriate solutions for different use cases.
- Experience with Microsoft Copilot Studio, Azure AI, Azure OpenAI, Power Platform, or similar AI development environments.
- Ability to communicate complex technical concepts effectively to non-technical stakeholders.
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