Hot tech & AI roles in 2026- High Demand and High Pay

Summary

The video argues that AI is creating new job opportunities alongside automating tasks. The presenter’s central message is that many emerging roles combine AI with skills people may already have, making them potential career pivots rather than entirely new professions.

Five In-Demand AI and Tech Roles

1. AI Engineer

AI engineers build applications and features using existing AI models, rather than typically training models from scratch. Examples include a support bot that searches company documents, a meeting-booking agent, or a tool that summarizes support tickets.

The presenter says this role ranked second on LinkedIn’s 2026 “Jobs on the Rise” list for India. The median experience of people hired was two years, and about half of the roles were remote or hybrid. She also cites a reported 260% increase in demand for agentic AI engineers.

Skills to focus on:

• Strong Python and software-engineering fundamentals
• APIs, databases, and deployment
• LLM APIs, retrieval-augmented generation (RAG), and AI agents
• Evaluations (“evals”) to assess whether AI systems perform reliably

The presenter describes this as a possible transition for full-stack developers.

2. Forward Deployed Engineer (FDE)

FDEs work directly with customers to integrate AI into real-world systems and workflows. Rather than focusing only on building a product for many users, an FDE learns a particular client’s systems and adapts AI to work within them.

The presenter cites job-posting growth of nearly 19 times year over year in India in June, growth of six times in August, and global year-over-year growth of 1,100%. She says both startups and large technology companies, including Salesforce, are hiring for the role.

Skills to focus on:

• Strong backend and full-stack engineering, including writing production-ready code
• APIs, data modeling, and data pipelines
• Connecting AI systems to customer data, which may be messy or inconsistent
• Building with LLMs and agents, plus rapid prototyping
• Customer communication: understanding needs and explaining trade-offs

The role is in demand because deploying AI successfully inside existing customer systems is difficult, even when building the AI itself is possible.

3. AI Infrastructure / MLOps Engineer

AI infrastructure and MLOps engineers help deploy and operate AI models so they remain reliable, fast, and cost-effective, and can detect when they fail.

The presenter cites an 82% year-over-year increase in demand for MLOps engineers and says related skills appear on LinkedIn’s list of fast-rising skills in India.

Skills to focus on:

• Containers and orchestration, including Docker and Kubernetes
• At least one cloud platform, such as AWS or GCP
• Model serving: putting a model behind an API and understanding how it operates
• GPU fundamentals
• Monitoring and CI/CD for models

She presents this as a promising direction for people in DevOps, SRE, cloud, or platform engineering.

4. Security Engineer, Including AI Security

Security engineers protect company data and systems when AI is connected to resources such as email, databases, and payment systems.

Skills to focus on:

• Security fundamentals and web/application security
• The traditional OWASP Top 10
• The OWASP Top 10 for LLM applications
• AI-specific threats, including prompt injection and data leakage
• Permission and access design, plus red teaming

The key concern is ensuring that AI systems are safe to use and do not expose data or misuse access.

5. Product Manager

Product managers decide what AI products or features should do, how they should be designed, and how to handle failures.

The presenter says product-manager openings rose by 120% and that the role ranked fourth on LinkedIn’s India list.

Skills to focus on:

• Core product skills: understanding user needs, prioritizing work, and writing clear specifications
• Understanding what models can and cannot do
• Familiarity with context windows and hallucinations
• Evaluations and product metrics
• Cost awareness and trade-off thinking

Overall Takeaway

The presenter frames these roles as AI plus an existing professional strength:

• Software developers may move toward AI engineering.
• Customer-oriented engineers may move toward FDE work.
• Infrastructure specialists may move toward AI infrastructure or MLOps.
• Security professionals may move toward AI security.
• Product managers may move toward AI product management.

Speakers and Sources Mentioned

• Mahima Hans — Presenter; identifies herself as a software engineer and technical interview coach.
• LinkedIn — Referenced for its 2026 India Jobs on the Rise and fast-rising skills lists.
• Naukri — Mentioned among the hiring reports reviewed.
• OWASP — Referenced for the OWASP Top 10 and OWASP Top 10 for LLM applications.
• Salesforce — Cited as an example of a large technology company hiring Forward Deployed Engineers.
• Other reports, unnamed in the subtitles — Cited for figures on agentic AI hiring, FDE postings, MLOps demand, and product-manager openings.