Role Overview
WisdomTree LLP is building an end-to-end AI & Data ecosystem for enterprise clients, moving organizations from vision to scalable reality through the Discover → Develop → Deploy framework. As a Computer Engineer (Intern), you will join the Deploy pillar, working alongside senior Fractional CTOs to research, map, and prototype opportunities in Global Capability Centers (GCCs) and Agentic AI. This is a research-meets-build role involving studying GCC AI investments and building proof-of-concepts for board-ready client roadmaps.
Responsibilities
- GCC Landscape Mapping: Research and track how Global Capability Centers are adopting AI, including org structures, tech stacks, and investment patterns.
- Opportunity Identification: Surface specific agentic AI use cases and solution gaps within GCCs.
- Pilot Support: Assist in scoping and building 2–4 week proof-of-concept pilots for agentic AI solutions (e.g., AI data concierge tools, prediction engines).
- Technical Diagnostics: Support assessments of client data infrastructure and AI-readiness using the MIT 3-Lens Framework.
- Documentation & Roadmapping: Translate research and pilot findings into structured, board-ready deliverables.
- Cross-Functional Collaboration: Work closely with Fractional CTOs, data engineers, and AI specialists.
Requirements
- Final-year student in Computer Engineering, Computer Science, or a closely related field.
- Working knowledge of Python and API-based development.
- Familiarity with data infrastructure concepts (pipelines, governance, cloud platforms).
- Strong research and synthesis skills.
- Ability to communicate technical findings clearly to non-technical stakeholders.
Preferred Qualifications
- Hands-on experience with AI/ML frameworks or agentic AI tooling (e.g., LangChain, AutoGen, CrewAI).
- Prior exposure to NLP or LLM-based systems.
- Experience with projects involving autonomous AI systems.
- Understanding of the GCC model and enterprise IT landscape.
What You'll Gain
- Direct exposure to enterprise AI deployment strategy.
- Hands-on experience building and testing agentic AI pilots.
- Mentorship from a team of MIT, Harvard, and industry veterans.
- Foundation in enterprise consulting and technical diagnostics.
Skills
- Python
- LangChain
- LLMs
- APIs
- Cloud Platforms