Jeppesen ForeFlight is hiring a Principal AI Engineer to join our RADAR (Reporting, Analytics, Data,
AI & Research) team. Reporting to the VP of Data Analytics, you will serve as the founding technical
leader for an internal AI products function, designing and building the intelligent knowledge
infrastructure that connects our executive leadership team, their organizations, and eventually the
entire Jeppesen ForeFlight workforce to the information, context, and workflows they need to
operate at peak effectiveness.
This is not a research role or a one-off automation job. You will architect and build a scalable,
enterprise-grade platform that captures institutional knowledge, models organizational context, and
surfaces the right information to the right people at the right time, all integrated with the
communication platforms and operational systems our teams already use. Think of it as building the
intelligent connective tissue of the organization: a structured, AI-powered knowledge graph that
grows smarter with every interaction and scales across every function.
You will build on top of agentic platforms (Claude, Codex, Claude and OpenAI Agent SDKs, Cline)
and complementary AI ecosystems, connecting them to enterprise systems via the Model Context
Protocol (MCP) and custom integrations. Starting with the executive leadership team, you will prove
the model, then expand it across the company, ultimately growing a team and partnering with
Product to translate internal AI capabilities into customer-facing products.
The ideal candidate has deep experience building knowledge-driven AI systems, has led enterprise
AI transformations, and combines hands-on technical execution with the strategic vision and
communication skills to influence at the C-suite level. You are an endlessly curious problem solver
who builds products and teams that bring AI to humans and bring knowledge to AI.
Key Responsibilities
Knowledge Platform & Architecture
• Architect and build an enterprise knowledge graph platform that captures, structures, and
connects organizational knowledge across functions, projects, decisions, and people.
• Design the pipelines and integration architecture that allows the platform to consume
information from diverse sources (meetings, documents, communications, operational
systems) and maintain a living, queryable representation of how the organization operates.
• Build and maintain MCP servers and connectors to integrate the knowledge platform with
enterprise systems including Slack, Google Workspace (Gmail, Calendar, Drive),
Confluence, Tableau, Salesforce, Databricks, Jira, and internal APIs.
• Implement scalable retrieval, contextualization, and synthesis capabilities so that AI agents
can traverse organizational knowledge to answer complex, cross-functional questions and
automate multi-step workflows.
Agentic AI Development
• Design, build, and deploy custom AI agents using Anthropic’s Claude Agent SDK (Python
and/or TypeScript) and complementary frameworks to automate complex knowledge work
across Finance, Revenue Operations, Customer Success, Legal, HR, and Product.
• Create custom Claude Cowork plugins, skills, and workflows that package institutional
knowledge and platform capabilities into repeatable, org-specific experiences for non-
technical users.
• Implement robust permission models, guardrails, and human-in-the-loop approval workflows
to ensure AI agents operate safely within enterprise compliance requirements.
• Design and maintain prompt engineering strategies, system prompts, and configuration
frameworks that ensure consistent, high-quality agent behavior across use cases.
Strategic Leadership & Scaling
• Partner directly with the CEO, CFO, CRO, and other C-suite leaders and their teams to
translate ambiguous business needs into well-scoped AI solutions, presenting technical
approaches, tradeoffs, and results in executive-ready formats.
• Define and execute a phased rollout strategy: prove the platform with the executive
leadership team, extend to their direct reports and functional teams, and ultimately scale to
the broader Jeppesen ForeFlight workforce.
• Build the business case for and grow an internal AI products team - recruiting, mentoring,
and leading engineers and AI specialists as the function scales from a founding team of one
to a full product organization.
• Partner with the Product organization to identify opportunities where internal AI capabilities
(knowledge graph, agentic workflows, contextual intelligence) can be translated into
customer-facing product features and new revenue streams.
• Evaluate emerging AI frameworks, foundation models, and tooling and make build-vs-buy
recommendations to leadership. Maintain a forward-looking technical roadmap for the
internal AI platform.
• Establish testing, monitoring, and observability patterns for production systems, including
logging, audit trails, and performance benchmarks.
Basic Qualifications
• 15+ years of professional experience in software development, AI/ML, or technology
leadership, with a significant track record of shipping AI-powered products and platforms in
enterprise settings.
• Demonstrated experience leading enterprise AI transformation, driving adoption of AI
systems that fundamentally change how organizations operate, make decisions, and
manage knowledge.
• Deep expertise in knowledge management systems, knowledge graphs, or organizational
intelligence platforms - understanding how to model, capture, and activate institutional
knowledge at scale.
• Strong proficiency in Python, Rust, and/or TypeScript for building production-grade
applications and AI pipelines.
• Hands-on experience building applications that use LLM APIs (Anthropic Claude API,
OpenAI API, or similar) including tool use, function calling, structured outputs, and multi-turn
orchestration.
• Experience integrating AI systems with external APIs, databases, and SaaS platforms (e.g.,
Slack, Google Workspace, Salesforce, Confluence, Jira).
• Excellent executive communication skills with a proven ability to present technical strategies,
tradeoffs, and results to C-suite stakeholders with clarity and confidence.
• Bachelor’s degree in Computer Science, Software Engineering, or a related technical field.
Master’s degree or equivalent practical experience preferred.
Preferred Qualifications
• Knowledge-Driven AI Systems: Experience building systems where AI operates on
structured organizational knowledge (knowledge graphs, ontologies, semantic models) rather
than unstructured document search alone. Understanding of how to make AI truly
understand organizational context.
• Model Context Protocol (MCP): Hands-on experience building or integrating MCP servers
to connect AI agents with enterprise data sources and tools.
• Multi-Agent Systems: Experience designing multi-agent architectures where specialized
agents collaborate on complex tasks (e.g., research agent + drafting agent + review agent).
• Vector Databases & RAG Pipelines: Experience with vector stores (Pinecone, Weaviate,
ChromaDB, DuckDB vss, Databricks) and building retrieval-augmented generation pipelines
for enterprise knowledge bases.
• Team Building & People Leadership: Experience recruiting, mentoring, and leading
technical teams.
• Product Thinking: Ability to think about internal tools as products with users, adoption
curves, feedback loops, and iteration cycles. Experience partnering with Product
organizations to translate internal capabilities into customer-facing features.
• Cloud Platforms: Experience with AWS, GCP, or Azure for deploying and scaling AI
applications, including containerized services and serverless functions.
• Enterprise Data Tools: Familiarity with Databricks, Airflow, Redshift, Amplitude, Apache
Superset, or similar systems.
• Aviation Industry: Experience in aviation, aerospace, or similarly regulated industries is a
plus but not required.
Summary Pay Range:
About Jeppesen ForeFlight
Jeppesen ForeFlight is a leading provider of innovative aviation software solutions, serving the
Commercial, Business, Military, and General Aviation sectors globally. Combining Jeppesen’s 90-
year legacy of accurate aeronautical data with ForeFlight’s expertise in cutting-edge aviation
technology, the company delivers an integrated suite of tools designed to enhance safety, improve
operational efficiency, and sharpen decision-making
