AI Operator Lead Engineer

Pilot Thomas Logistics•Boston, MA

38d•Remote

About The Position

PTC is seeking an Agentic Operator to design, build, deploy, and scale the AI-powered systems that run GrowthOS. You will partner with marketers, business stakeholders, and technical teams to identify automation opportunities, build intelligent workflows, and enable teams to operate more efficiently through AI-enabled tools. You will work directly with end users — embedding with marketing teams to understand their workflows, translate business challenges into technical solutions, and build systems that automate repetitive work so marketers can focus on strategy, judgment, and customer engagement.

Requirements

Bachelor's degree in Computer Science, Software Engineering, Information Systems, or related field, or equivalent practical experience
5+ years of software engineering experience
2+ years hands-on experience building and deploying production AI or LLM-powered applications
Strong Python development experience
Experience with LLM APIs (Anthropic Claude, OpenAI GPT, Gemini, etc…)
Experience with workflow automation/orchestration platforms (n8n, Airflow, Temporal, Zapier, or comparable)
Experience integrating enterprise applications, including CRM, marketing automation, and business systems
Strong understanding of prompt design, evaluation methodologies, and production AI operations
Excellent communication and stakeholder management skills

Nice To Haves

Experience designing and deploying multi-agent systems
Knowledge of agent orchestration frameworks, MCP, and tool-use architectures
Experience implementing retrieval-augmented generation (RAG)
Familiarity with MLOps, evaluation frameworks, and AI observability platforms
Experience building internal platforms or tools with measurable organizational adoption
Experience in marketing technology, marketing operations, or demand generation
Experience implementing AI governance, validation, and audit-trail frameworks

Responsibilities

Design and build AI-powered workflows and agent-based systems supporting marketing operations
Build reusable agent architectures — skills, tools, memory, orchestration, evaluation frameworks, and guardrails
Maintain prompt libraries, workflow templates, and automation frameworks
Evaluate emerging AI technologies and recommend adoption opportunities
Build and maintain workflow automation using orchestration platforms such as n8n, Zapier, Make or Claude Code
Design end-to-end processes connecting data, AI agents, and business systems
Develop automation frameworks that scale across marketing functions
Integrate AI-powered solutions with Salesforce, Eloqua, SiteCore, and internal data platforms
Build MCPs, APIs, connectors, and automation frameworks supporting data-driven decisions
Ensure data quality, reliability, security, and scalability
Establish monitoring, logging, evaluation, and reporting for AI-powered systems
Build validation frameworks and quality controls for reliable outputs
Build governance mechanisms supporting compliance, brand integrity, and auditability
Identify system failures, regressions, and improvement opportunities
Partner with marketing teams to understand business objectives and challenges
Train and coach users on AI-enabled workflows and tools
Drive adoption and long-term utilization of AI solutions
Document processes, playbooks, and best practices to support scalability