Chief AI Architect: Multi-Agent & LLM Systems

Pivotal Solutions

San Francisco (CA)

On-site

USD 220,000 - 360,000

Full time

13 days ago

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Job summary

Pivotal Solutions is seeking a Head of AI & AI/ML to lead transformative AI system development. You will guide multi-agent architectures, design custom AI capabilities, and ensure transparent, compliant AI solutions across products.

You will work closely with leadership, engineering, and design teams to push the boundaries of generative AI, enable continuous learning from user feedback, and deliver measurable performance improvements.

Qualifications

PhD in Computer Science, ML, AI, or related field (required).
5+ years in AI/ML R&D, preferably at leading labs or tech firms.
Expertise with LLMs, multi-agent systems, and AI orchestration.
Experience applying AI to high-stakes domains (finance/regulated) is valued.
Proven ability to design agent-based systems for complex tasks.
Demonstrated success building practical, explainable AI apps.
Proficiency in retrieval-augmented generation for knowledge‑intense apps.
Strong understanding of domain-specific data and decision processes.
Background in human-AI interaction and XAI methodologies.
Experience learning from user feedback to improve models.

Responsibilities

Lead the development and scaling of a multi-agent AI platform delivering end-to-end solutions.
Enhance integration with foundation models while building custom AI capabilities.
Design and expand agent workflows for complex tasks and decision-making.
Develop neural architectures optimized for domain-specific reasoning.
Create purpose-built AI agents with capabilities beyond general models.
Engineer orchestration layers enabling collaboration among AI agents.
Build systems to extract insights from diverse data sources (docs, market signals).
Design evaluation frameworks for performance, trust, and qualitative outcomes.
Implement loops for continuous knowledge accumulation from user interactions.
Create explainable AI decision pathways ensuring transparency and compliance.
Architect interfaces that evolve based on user behavior and preferences.
Design privacy-preserving AI systems enabling personalization.
Implement regulatory guardrails to ensure industry standards alignment.
Collaborate with leadership and teams to integrate AI into products.
Stay at the forefront of AI innovation with breakthroughs.