Strativ Group
Head of AI
We are partnered with a highly technical
DeepTech Research Lab
building advanced AI systems capable of operating across complex,
real-world
engineering environments. The company is well-funded ($40m+), executing large-scale programs, and pushing the frontier of AI systems that can reason, plan, and act reliably in the
physical world .
Their platform focuses on enabling intelligent agents to operate
end-to-end engineering workflows
- combining LLMs with structured planning, deterministic execution, and real system constraints. The team consists of deeply technical engineers and researchers with backgrounds spanning ML systems, distributed infrastructure, and applied AI. They operate in a
high-ownership
environment where individuals design + ship foundational systems that enable entirely new classes of agentic behavior.
They are hiring a
Head of AI
to lead & mentor the team. This role sits at the at the intersection of
AI research ,
systems engineering , and
applied infrastructure , with a strong emphasis on safety, reproducibility, and first-principles design. We are looking for someone who is a hands-on people manager who can serve as both a technical and people leader.
Key experience required;
7+ Years' experience in AI/ML Engineering & Research - people management exp. essential Proven leadership in designing and deploying agentic AI systems, including multi-agent architectures, tool-using LLMs, planning/reasoning loops, and long-running autonomous workflows in production environments. Deep hands-on expertise with large language models, spanning model selection, fine-tuning (RLHF/RLAIF), prompt and system design, evaluation frameworks, and cost-efficient inference at scale. (ideally) Experience applying AI to the physical world, such as robotics, IoT, industrial systems, autonomy, or cyber-physical systems - bridging perception, decision-making, and real-time control. Strong applied engineering background, with the ability to architect end-to-end AI systems Strategic ownership of AI roadmap and execution, including hiring and mentoring senior researchers/engineers, setting technical direction + more
Please apply ASAP for more info - we are looking to have this position finalized in January.
We are partnered with a highly technical
DeepTech Research Lab
building advanced AI systems capable of operating across complex,
real-world
engineering environments. The company is well-funded ($40m+), executing large-scale programs, and pushing the frontier of AI systems that can reason, plan, and act reliably in the
physical world .
Their platform focuses on enabling intelligent agents to operate
end-to-end engineering workflows
- combining LLMs with structured planning, deterministic execution, and real system constraints. The team consists of deeply technical engineers and researchers with backgrounds spanning ML systems, distributed infrastructure, and applied AI. They operate in a
high-ownership
environment where individuals design + ship foundational systems that enable entirely new classes of agentic behavior.
They are hiring a
Head of AI
to lead & mentor the team. This role sits at the at the intersection of
AI research ,
systems engineering , and
applied infrastructure , with a strong emphasis on safety, reproducibility, and first-principles design. We are looking for someone who is a hands-on people manager who can serve as both a technical and people leader.
Key experience required;
7+ Years' experience in AI/ML Engineering & Research - people management exp. essential Proven leadership in designing and deploying agentic AI systems, including multi-agent architectures, tool-using LLMs, planning/reasoning loops, and long-running autonomous workflows in production environments. Deep hands-on expertise with large language models, spanning model selection, fine-tuning (RLHF/RLAIF), prompt and system design, evaluation frameworks, and cost-efficient inference at scale. (ideally) Experience applying AI to the physical world, such as robotics, IoT, industrial systems, autonomy, or cyber-physical systems - bridging perception, decision-making, and real-time control. Strong applied engineering background, with the ability to architect end-to-end AI systems Strategic ownership of AI roadmap and execution, including hiring and mentoring senior researchers/engineers, setting technical direction + more
Please apply ASAP for more info - we are looking to have this position finalized in January.