Artificial Intelligence Intern

LTM – BlueVerse AI Internship Program (Undergraduate)

About LTM

LTM is a global technology consulting and digital transformation firm enabling enterprises to modernize operations, accelerate innovation, and achieve competitive advantage through cloud, data, engineering, and AI-led transformation. LTM partners with Fortune 500 and Global 2000 organizations across industries such as Retail & CPG, Banking/Financial Services/Insurance, Manufacturing, Media & Entertainment, Communications, and High Tech to deliver measurable business outcomes at scale.

• Annual Revenue: ~$4.5B USD

• Global Footprint: 40 countries

• Client Base: 700 clients, including Fortune 500 and Global 2000 enterprises

• Workforce: ~84,000 professionals worldwide

About BlueVerse (LTM’s AI Ecosystem)

BlueVerse is LTM’s AI-led transformation ecosystem designed to accelerate enterprise adoption of agentic AI, intelligent automation, and AI-powered business workflows. BlueVerse combines AI agents and copilots aligned to business domains, reusable solution accelerators, enterprise-grade orchestration and governance, and go-to-market enablement.

Program Overview

The BlueVerse AI Internship Program is designed for high-performing undergraduate students seeking hands-on experience supporting real AI initiatives and innovation programs for enterprise clients. Interns will be mapped to one of LTM’s strategic industry verticals based on geography and business needs.

Industry Alignment (Account-Based)

• High Tech
• Retail & CPG
• Manufacturing
• Banking, Financial Services & Insurance (BFSI)
• Media, Entertainment & Communications

Internship Structure (Hybrid, Account-Aligned Model)

Interns will split time across two tracks:

Client Innovation Track (Approx. 50%)

• Research AI opportunities aligned to enterprise client priorities
• Support innovation proposals, prototypes, and demo preparation
• Help define workflows, agent concepts, and AI business use cases
• Contribute to competitive intelligence and market insight deliverables

BlueVerse Product Research Track (Approx. 50%)

• Support internal AI research and solution development initiatives
• Assist in building and integrating simple agent workflows
• Contribute to internal AI product assets and documentation
• Support go-to-market deliverables including slide decks, playbooks, and messaging

Culture & Expectations (Applies to All Interns)

At LTM, we operate in a fast-paced, high-trust environment where interns are treated like real contributors—not observers. We are looking for interns who take ownership, operate with professionalism, and thrive in collaborative, high-performing teams.

• Professionalism & Accountability: strong reliability, follow-through, and professional communication
• Proactive Ownership: takes initiative, works independently, and thrives in ambiguity
• Collaboration: positive team presence, openness to feedback, and strong cross-functional teamwork
• Curiosity & Builder Mentality: passion for AI, rapid learning, and delivering real prototypes and outcomes
• Clear Communication: communicates blockers early and knows when to ask for help
• Confidentiality & Integrity: maturity in handling enterprise work and sensitive information

Ideal Candidate Profile (Undergraduate)

You should consider applying if you:

• Are pursuing Computer Science, Data Science, AI/ML, Software Engineering, Information Systems, or a related technical field
• Have built projects demonstrating AI, automation, analytics, or software development (GitHub portfolio strongly preferred)
• Are comfortable coding in Python and working with APIs or AI tooling
• Can support slide decks and storytelling with strong written and verbal communication
• Enjoy solving real business problems and creating tangible deliverables

Nice-to-haves (not required):

• Exposure to Azure, AWS, or GCP
• Familiarity with LLM tools, agent frameworks, or retrieval workflows
• Experience using GitHub and collaborative development workflows

Location & Travel Expectations

• Interns will be regionally mapped to accounts based on proximity to LTM teams and client ecosystems
• Local travel within the intern’s metro region is expected and self-funded
• Travel outside the assigned region, if required by LTM, will be covered by the firm
• Housing is not provided

What Success Looks Like

• Translate business problems into clear AI workflows and prototype solutions
• Deliver outputs with limited guidance in a fast-moving environment
• Support both client innovation workstreams and internal BlueVerse product initiatives
• Contribute to go-to-market materials through strong storytelling and structured deliverables