AI Jobs Radar

First spotted at Anduril

This is a new, hybrid role that merges defense-specific program management with deep technical oversight of autonomous, networked systems (the "Connected Warfare" domain). It's emerging because modern defense contracts now require managing live, AI-driven systems (like drone swarms and sensor networks) that continuously learn and update—a radical shift from managing traditional, static hardware platforms. The role demands both a security clearance and the agility to oversee software-like development cycles within the rigid defense procurement environment.

First spotted at Anduril

This is a strategic hybrid role that merges traditional business development with deep expertise in decentralized, physical-world AI infrastructure. It's new because it focuses on selling and deploying AI *at the edge*—on drones, vehicles, and remote sensors—rather than in centralized data centers. It's emerging now due to the rapid militarization of AI, the need for real-time processing in disconnected environments, and the shift from selling software licenses to selling integrated hardware-software systems for national security and critical infrastructure.

First spotted at Anthropic

This is a strategic hybrid role that merges deep industry-specific expertise with applied AI solution design and team leadership. It's new because it's not just about implementing generic AI tools, but about architecting custom, end-to-end AI systems that transform core business operations within a specific vertical (e.g., finance, healthcare, manufacturing). The role is emerging now because enterprises are moving beyond pilot projects and require leaders who can translate complex industry workflows into scalable, reliable, and ethical AI solutions, ensuring they deliver tangible business value while managing cross-functional teams of AI engineers, domain experts, and stakeholders.

First spotted at Anduril

This is a next-generation cybersecurity role focused on proactively hunting for and exploiting vulnerabilities in AI/ML systems—a field known as adversarial machine learning. It's new because it moves beyond defending traditional IT infrastructure to offensively testing and breaking the AI models and autonomous systems that are now central to defense and security products. The role is emerging urgently because as AI becomes embedded in critical military and security applications (like Anduril's autonomous drones), understanding and hardening these systems against novel AI-specific attacks has become a national security priority.

First spotted at Anthropic

A Forward Deployed Engineer in Applied AI is a hybrid role that combines AI solution engineering with direct, on-site client implementation—unlike traditional AI engineers who typically build models in-house or data scientists who focus on analysis. This role is emerging because enterprises need tailored, real-world deployment of cutting-edge AI (like large language models) directly into their specific workflows and systems, requiring professionals who can both adapt AI tools to unique business constraints and rapidly iterate based on live feedback. The rise of powerful, API-accessible AI models has created demand for engineers who can bridge the gap between generic AI capabilities and production-ready, client-specific applications.

First spotted at Databricks

The Strategic AI/BI Account Executive is a new sales role specifically designed to sell complex AI and business intelligence platforms to enterprise clients, focusing on how these technologies can transform core business operations and strategy. It differs from traditional software sales by requiring deep technical fluency in AI/ML workflows and data architectures, as the executive must consult on how to operationalize AI, not just license software. This role is emerging now because enterprises are shifting from experimental AI projects to strategic, company-wide deployments, creating demand for sellers who can bridge executive strategy, data engineering, and ROI-driven use cases.

First spotted at Databricks

This is a new, specialized leadership role focused on proactively designing and implementing technical guardrails for AI systems, rather than just reacting to content moderation issues. It merges deep engineering expertise with ethical AI governance, requiring someone who can build scalable systems for model safety, bias detection, and misuse prevention directly into the AI development lifecycle. It's emerging now because as generative AI moves into enterprise production, companies need leaders who can technically enforce safety, compliance, and ethical standards at the platform level—shifting trust and safety from a policy team to a core engineering function.

First spotted at Anthropic

This is a new and distinct role because it specifically focuses on securing AI systems, which introduces novel attack vectors like prompt injection, training data poisoning, and model theft—threats traditional software security roles aren't designed to handle. It's emerging now due to the rapid deployment of generative AI and large language models (LLMs) into production, creating urgent demand for experts who can build security directly into the AI development lifecycle and protect these complex, non-deterministic systems.