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LLM Evaluators define and run experiments to measure model safety, correctness, alignment, and reliability. The role is growing with the need for red-teaming and compliance.

NLP Engineers work on systems that process and generate human language. While LLMs have abstracted away many classic NLP tasks, domain-specific tuning and evaluation remain essential.

AI Product Managers drive strategy behind machine learning-powered products. They combine technical fluency with customer insight and model behavior understanding.

MLOps Engineers are key to deploying and scaling AI systems. While automation simplifies pipelines, hands-on knowledge of versioning, CI/CD, and monitoring keeps this role in demand.

Prompt Engineers specialize in crafting effective prompts to guide large language models (LLMs). Though newer tools automate prompt tuning, human skill is still vital for structured reasoning and alignment.

Software Architects are moderately resilient to AI replacement due to the complex decision-making, creativity, and strategic planning required in their role. While certain aspects of software design can be automated, human oversight, creativity, and adaptability remain critical, allowing experienced professionals to pivot into new areas within technology.

Site Reliability Engineers (SREs) face a medium risk of AI replacement primarily due to the increasing automation of coding and operational tasks. However, their unique blend of software engineering and systems management skills makes them adaptable to emerging technologies, positioning them well for future opportunities.

Cloud Software Engineers face a medium risk of AI replacement due to advancements in automation and AI coding tools. Nonetheless, their role requires complex problem-solving and creativity, which are less likely to be fully automated. The integration of AI into cloud computing provides opportunities for augmentation rather than outright replacement.

Advises businesses on cloud strategy, migrations, and optimization across AWS, Azure, or GCP. Combines technical architecture with stakeholder-facing consulting.

Sales Managers face a medium risk of AI replacement due to the increasing capabilities of AI in data analysis and customer insights. However, the role’s emphasis on leadership, interpersonal relationships, and strategic decision-making provides substantial resilience against full automation.