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Director of AI Engineering

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Apollo.io

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Location:
Canada; United States

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Category:
IT - Software Development

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Contract Type:
Not provided

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Salary:

300000.00 - 450000.00 USD / Year
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Job Description:

We are entering a hyper-growth phase of AI innovation and are hiring a Director of AI Engineering to lead the strategy, engineering execution, and cross-functional integration of Apollo’s applied AI systems. As the Director of AI Engineering, you will own the end-to-end delivery of Apollo’s AI roadmap spanning autonomous agentic systems, LLM-powered workflows, search & relevance, personalization, and production-grade ML infrastructure. You will lead and scale a high-impact AI Engineering organization responsible for turning cutting-edge AI techniques into real, revenue-driving product capabilities used by millions.

Job Responsibility:

  • Define the multi-year technical vision for Apollo’s AI stack, spanning agents, orchestration, inference, retrieval, and platformization
  • Prioritize high-impact AI investments by partnering with Product, Design, Research, and Data leaders to align engineering outcomes with business goals
  • Establish technical standards, evaluation criteria, and success metrics for every AI-powered feature shipped
  • Lead the architecture and deployment of long-horizon autonomous agents, multi-agent workflows, and API-driven orchestration frameworks
  • Build reusable, scalable agentic components that power GTM workflows like research, enrichment, sequencing, lead scoring, routing, and personalization
  • Own the evolution of Apollo’s internal LLM platform for high-scale, low-latency, cost-optimized inference
  • Oversee model-driven experiences for natural-language interfaces, RAG pipelines, semantic search, personalized recommendations, and email intelligence
  • Partner with Product & Design to build intuitive conversational UX that hides underlying complexity while elevating user productivity
  • Implement rigorous evaluation frameworks, including offline benchmarking, human-in-the-loop review, and online A/B experimentation
  • Ensure robust observability, monitoring, and safety guardrails for all AI systems in production
  • Drive continuous model improvement through telemetry, feedback loops, and data-driven performance tuning
  • Build and lead a world-class AI Engineering team of senior ICs, managers, and cross-functional collaborators
  • Foster a culture of experimentation, velocity, and pragmatic engineering, where speed and safety coexist
  • Mentor engineers on system design, LLM architectures, distributed systems, and applied ML best practices
  • Upskill the broader engineering org in AI-native development, tooling, and automation
  • Collaborate closely with Data Science, Product, Design, and Research teams to ensure AI capabilities integrate seamlessly into the GTM user journey
  • Accelerate learning cycles by combining LLM experimentation, product iteration, telemetry insights, and engineering automation

Requirements:

  • 10–15+ years in software engineering, with significant leadership experience owning AI/ML or applied LLM systems at scale
  • Proven history shipping LLM-powered features, agentic workflows, or AI assistants used by real customers in production
  • Deep understanding of LLM orchestration frameworks (LangChain, LlamaIndex), RAG pipelines, vector search, embeddings, and prompt engineering
  • Expert in backend & distributed systems (Python strongly preferred) and cloud infrastructure (AWS/GCP)
  • Strong experience with telemetry, observability, and cost-aware real-time inference optimizations
  • Demonstrated ability to lead senior engineers, define technical roadmaps, and deliver outcomes aligned to business metrics
  • Experience building or scaling teams working on experimentation, optimization, personalization, or ML-powered growth systems
  • Exceptional ability to simplify complex problems, set clear standards, and drive alignment across Product, Data, Design, and Engineering
  • Strong product sense, ability to weigh novelty vs. impact, focus on user value, and prioritize speed with guardrails
  • Fluent in integrating AI tools into engineering workflows for code generation, debugging, delivery velocity, and operational efficiency
  • Comfortable balancing rapid experimentation with production rigor, ensuring features are safe, reliable, and measurable
  • Thrives in an environment where learning velocity, automation, and continuous improvement are core values
What we offer:
  • Equity
  • Company bonus or sales commissions/bonuses
  • 401(k) plan
  • At least 10 paid holidays per year
  • Flex PTO
  • Parental leave
  • Employee assistance program and wellbeing benefits
  • Global travel coverage
  • Life/AD&D/STD/LTD insurance
  • FSA/HSA
  • Medical, dental, and vision benefits

Additional Information:

Job Posted:
December 06, 2025

Employment Type:
Fulltime
Work Type:
Remote work
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