Distyl AI
AI-native platforms for enterprise operations
Distyl AI builds and deploys production AI systems and platforms that integrate AI agents, workflows, and infrastructure into Fortune 500 operations. They serve industries like healthcare, telecom, and manufacturing, enabling measurable outcomes such as cost savings and efficiency gains. Their Distillery platform curates enterprise context for rapid AI deployment while maintaining governance and human control.
Forward Deployed AI Engineer - Enterprise Lead
Senior technical leader accountable for complex enterprise AI deployments. Owns technical direction across multi-team engagements, develops engineering leaders, and partners with customer executives on architecture and delivery.
Forward Deployed AI Engineer - Lead
Lead Forward Deployed AI Engineer owning architecture, execution, and delivery of production AI systems for enterprise customers. Hands-on technical leader mentoring engineers, integrating AI into customer platforms, and iterating on live systems.
AI Engineer, Evaluation
Design and implement evaluation frameworks and pipelines for AI systems using Evaluation-Driven Development. Build Python-based test suites, LLM graders, and measurement systems that guide prompt iteration and production deployment decisions.
Forward Deployed AI Engineer
Forward Deployed AI Engineer building and operating production AI systems in customer environments. Requires 2+ years software engineering experience, hands-on LLM/AI system building, strong Python fundamentals, and willingness to travel 10-30%.
IT Lead
Build and lead Distyl's global IT organization from 180 to 500+ employees. Own IT strategy, security controls, compliance programs (SOC 2, ISO 27001, GDPR, HIPAA), identity management, and endpoint security while balancing hands-on execution with strategic leadership.
Applied AI Researcher, Multi-Agent Systems
Develop multi-agent AI architectures for enterprise coordination and collaborative reasoning. Requires research experience in MARL/GNNs, strong prototyping skills, and daily AI tool usage.
AI Strategist, Healthcare Solutions
Leads AI solutioning and GTM for healthcare clients, diagnosing problems through an AI lens, building demos/POCs on Distillery platform, and driving deals from discovery to close. Requires 8-12 years experience in sales engineering/solutions consulting with deep healthcare domain knowledge and hands-on GenAI skills.
AI Operator
AI Operator enforces operational rigor, drives stakeholder alignment, and accelerates execution across revenue, platform delivery, or research programs at a high-velocity AI company. Thrives in chaos, uses frontier AI tools daily, and owns outcomes from ambiguity with ~20% travel.
AI Operator, Implementation Delivery
Leads end-to-end delivery of complex AI implementations for Fortune 500 clients, managing workstreams, enforcing operational rigor, and driving stakeholder alignment with 25-50% travel. Requires enterprise-scale execution experience, AI-native mindset, and comfort in high-pressure environments.
Software Engineer - Back End
Builds and scales AI-native backend infrastructure and cloud-native microservices using Python and Kubernetes for enterprise AI workflows. Requires 3+ years backend experience with cloud platforms and DevOps tools.
Growth Operator
Technical growth leader opening new vertical markets by building outbound pipeline, running discovery with enterprise buyers, closing design partners, and shaping AI platform solutions. Requires 5-10 years technical BD/sales experience and fluency in AI architectures.
Product Marketing Manager
Owns product marketing for enterprise AI in customer experience, crafting positioning/messaging by vertical, building sales enablement materials like pitch decks and battle cards, and creating proof points including case studies and ROI tools. Requires 5-8 years B2B enterprise software experience, exceptional writing, and early-stage startup background.
Strategic Account Executive, Healthcare Solutions
Owns strategic enterprise healthcare accounts, leading complex sales cycles for AI-driven solutions like prior authorization automation and clinical workflow orchestration. Targets senior executives in payers/providers with 8-12+ years enterprise sales experience closing $1M+ deals.
AI Strategist (All Levels)
Leads AI projects for enterprise customers, owning end-to-end engagements from problem identification and workflow embedding to delivery, user adoption, and iteration. Requires client-facing experience, leadership, user empathy, and coding proficiency in Python/SQL.
Applied AI Researcher, System Discovery
Applied AI Researcher on System Discovery team explores new AI system architectures, prototypes human-AI collaborations, and draws cross-domain insights to redefine enterprise workflows. Requires proven research track record, expertise in compound AI systems and agentic techniques, strong programming for rapid prototyping.
Applied AI Researcher, System Self-Construction
Designs self-constructing AI systems that autonomously generate, assemble, and refine subsystems using meta-learning, program synthesis, and evolutionary methods. Requires proven research in modular AI architectures, daily AI tool usage, and strong prototyping skills.
Applied AI Researcher, System Self-Improvement
Designs feedback-driven AI architectures for system self-improvement, enabling autonomous evolution through reflection, retraining, and adaptation. Requires proven research in compound AI systems, daily AI tool usage, and strong prototyping skills.
Applied AI Researcher, AI Systems
Designs and researches compound AI systems integrating LLMs, agents, and execution components for reliable enterprise workflows. Requires proven AI research track record, daily AI tool usage, strong prototyping skills, and expertise in agentic techniques.
Applied AI Researcher, Post-Training
Develops and evaluates post-training techniques like supervised fine-tuning, RLHF/DPO, and continual adaptation to align foundation models with enterprise systems. Requires expertise in adapting LLMs/SLMs, compound AI systems, and strong prototyping skills.
Applied AI Researcher, Benchmarking
Designs and constructs AI benchmarks and evaluation frameworks to measure reasoning, reliability, and real-world impact of intelligent systems. Requires experience with model evaluations, statistical rigor, building with AI models, and strong programming for prototypes.