5 AI Engineering Roles Growing in 2026 — and What You Actually Need to Learn

What this session will help you understand

• Where five AI engineering roles overlap and where they differ.
• How engineering fundamentals connect to current AI tools.
• How to choose a learning direction that fits your starting point.

The five roles

1. Forward Deployed Engineer

   Connect customer problems to working AI solutions in real environments.

2. Applied AI Engineer

   Build useful applications around models, retrieval and evaluation.

3. Agentic AI Engineer

   Design tool-using workflows with clear boundaries and checks.

4. AI Solutions Architect

   Translate business needs into coherent AI system designs and trade-offs.

5. AI Platform / LLMOps Engineer

   Support deployment, observation and reliable operation of AI systems.

Tools and technologies

A practical map of where these tools fit, rather than a tutorial in each one.

• Python
• model APIs
• RAG
• LangGraph
• MCP
• FastAPI
• Docker
• LLMOps
• evaluation

Who should attend

College students, aspiring engineers, software professionals, tech leads, architects, and engineering managers.

Come if you are exploring AI engineering, deciding where to build skills, or helping a team understand these roles.

What to expect

Free live online micro-session. A focused, 30-minute orientation to roles, skills and tools—not a full course or hands-on coding workshop.

Bring your current learning questions and leave with a clearer direction to explore.

About the host

Suyog Joshi is a software engineer and educator, and the founder of Software Signal. Software Signal Learning connects practical engineering knowledge with thoughtful learning paths.