Job Description & How to Apply Below
About the Role
This is not a typical tech internship. You will sit alongside senior consultants and CXO-level stakeholders, helping shape how organizations think about AI — from strategic vision through to GTM deployment. You will directly contribute to business strategy frameworks, build out unified data and knowledge architectures, and develop go-to-market assets that drive real client outcomes across our Discover → Develop → Deploy methodology.
Key Focus Areas
▸ Use case prioritization
▸ Roadmap & ROI modeling
▸ CXO-ready frameworks
▸ Data architecture design
▸ Knowledge graph mapping
▸ RAG & vector DB solutions
▸ Cross-system integration
▸ Market & competitor analysis
▸ GTM playbook development
▸ Client pitch & deck support
▸ Workshop facilitation prep
Key Responsibilities
▸ Business Strategy:
Develop AI-driven business strategy frameworks, use case prioritization matrices, and boardroom-ready ROI models for enterprise clients.
▸ Unified Data & Knowledge Architecture:
Design and map unified data architectures — including knowledge graphs, vector databases, and RAG pipelines — that enable enterprise-wide AI deployment.
▸ Go-to-Market Execution:
Build comprehensive GTM playbooks, go-to-market positioning assets, and competitive landscape analyses to support client growth initiatives.
▸ Workshop & Strategy Design:
Co-design and document AI workshop agendas, strategy sprint materials, and structured discovery sessions aligned to the Discover → Develop → Deploy framework.
▸
Cross-functional Collaboration:
Collaborate with senior consultants, AI engineers, and partner teams to translate complex AI concepts into clear, actionable client deliverables.
▸ AI Research & Trend Tracking:
Research emerging AI tools, platforms, and market trends to continuously inform and sharpen client-facing strategy recommendations.
Qualifications
▸ Currently pursuing or recently completed a Bachelor's or Master's in Business, Computer Science, Data Science, AI, or a related field.
▸ Demonstrated experience with AI/ML tools, data platforms, or technology strategy (academic projects, internships, or personal work all count).
▸ Strong analytical thinking — comfortable building frameworks, sizing opportunities, and synthesizing insights into concise narratives.
▸ Excellent communication skills; able to translate technical AI concepts for non-technical executives and business stakeholders.
▸ Exposure to GTM strategy, business development, or consulting environments is a strong plus.
▸ Familiarity with database systems, SQL, cloud platforms (especially Google Cloud), or knowledge graph tools is advantageous.
▸ Self-starter mindset with a high tolerance for ambiguity and a passion for applying AI to real-world business challenges.
What You'll Gain
Real Impact from Day One
Work on live client engagements, CXO initiatives, and high-stakes AI transformation programs.
Strategy + GTM Expertise
Build rare cross-functional skills spanning business strategy, data architecture, and go-to-market execution.
Global Client Exposure
Engage with enterprises across education, tech, and sustainability sectors in the US and India.
Mentorship at Scale
Learn directly from experienced consultants, data architects, and GTM leaders in a fast-paced, collaborative environment.
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