Principal AI Engineer

Shared Staffing Services LLC; United States; On-site; USD 230,000 - 300,000; Full time

Benefits offered by this job

Medical, Dental, Vision Benefits

401k Contribution

Paid Time Off

Job summary

Discovery Land Company is seeking a Principal AI Engineer to lead the AI program, reporting to the VP of AI. You will co‑own the AI roadmap, set technical direction, and own high-impact AI use cases from problem framing to deployment.

The role blends strategic leadership with hands‑on engineering across Claude, MCP, and Microsoft 365 integrations. Expect to partner with multiple departments and commercial properties nationwide.

Qualifications

• 8+ years of combined experience in software engineering and product management.
• Hands-on production experience with Claude and the Anthropic ecosystem.

Responsibilities

• Set technical direction and roadmaps for DLC AI initiatives.
• Own AI reference architecture across agents, MCP integrations, retrieval, and automation.
• Lead engineering standards and guardrails for production AI solutions.

Skills

LLM-based products

Claude/Anthropic

Python

TypeScript/JavaScript

SQL

REST APIs

Executive communication

Tools

Claude Enterprise

Claude API

MCP

Power Automate

SharePoint

Microsoft Graph API

Claude Code

Job description

Join the Discovery family, where quality and service are at the heart of everything we do!

This role will be located at one of Discovery Land Company’s Corporate Office locations in Beverly Hills, California.

Discovery Land Company is seeking a full-time, year-round Principal AI Engineer to join the Artificial Intelligence Department.

Job Summary:

Discovery Land Company (DLC) develops and operates private club communities across the U.S. and internationally. DLC's AI team builds the platforms, agents, and workflows that help corporate and club teams work faster with less manual effort.

The Principal AI Engineer is the senior technical leader for DLC's AI program, reporting to the VP of Artificial Intelligence. You will co‑own DLC's AI strategy and roadmap with the VP of AI, set the technical direction and engineering standards for all AI solutions, and own the highest‑impact AI use cases end to end: scope the business problem with department leaders, design the solution, build it, ship it, and measure the hours saved. Time will be split across technical strategy and standards, product ownership, and hands‑on engineering.

Duties & Responsibilities:

• Set Technical Direction and Standards:
  • Co‑own DLC's AI strategy and 1-year and 3-year roadmap with the VP of AI, including platform choices and investment priorities.
  • Define and own DLC's AI reference architecture across agents, MCP integrations, retrieval, and Microsoft 365 automation.
  • Set and enforce engineering standards for evaluation, logging, guardrails, security, and code review across all production AI solutions.
  • Lead technical evaluation and selection of AI platforms, models, and vendors.
  • Mentor engineers and Department AI Leads, and serve as final technical reviewer on AI solution designs.
• Own Product Delivery:
  • Partner with departments across DLC to identify and prioritize use cases by hours saved and risk.
  • Write clear requirements, success metrics, and solution plans for each AI use case.
  • Manage the backlog and maintain a consistent delivery cadence.
• Drive Adoption:
  • Deliver training, documentation, and feedback loops for end users at the corporate and club levels.
  • Track adoption metrics and use them to improve deployed solutions.
• Build and Deploy AI Solutions:
  • Build agents, skills, and automations on Claude (Claude Enterprise, Claude Code, Claude API, and Claude Agent SDK).
  • Build and maintain MCP server integrations that connect Claude to business systems (CRM, marketing automation, ERP, and document stores).
  • Build workflows in n8n and/or Microsoft Power Automate and Copilot Studio, integrated with SharePoint, OneDrive, Teams, and Outlook via Microsoft Graph.
  • Build retrieval and knowledge base solutions on Microsoft 365 and related tooling.
  • Implement evaluation, logging, and guardrails for all production AI solutions.
• Co‑lead AI Governance and Security:
  • Follow DLC data classification rules and ensure member, guest, and employee data is handled under the strictest applicable privacy standard (e.g., GDPR, CCPA/CPRA).
  • Lead technical vendor security reviews for new AI tools and connectors.

What Success Looks Like:

• First 6 months Ship 3 or more production AI use cases with documented hours saved.
• Define reusable MCP and Power Automate integration patterns that scale across properties and publish them as DLC standards.
• Track adoption metrics and report them monthly to the VP of AI.
• Publish DLC's AI reference architecture and engineering standards, applied to all new AI builds.
• Deliver the technical portion of DLC's 1‑year and 3‑year AI roadmap jointly with the VP of AI.

Skills & Qualifications:

• 8+ years of combined experience in software engineering and product management, including at least 3 years shipping LLM-based products or internal tools to production.
• Hands‑on production experience with Claude and the Anthropic ecosystem: Claude Code, the Claude API (tool use, prompt caching, structured outputs), MCP, and Agent Skills.
• Strong experience with the Microsoft 365 stack: Entra ID, SharePoint, Microsoft Graph API, Power Automate, and Teams.
• Proficiency in Python, TypeScript/JavaScript, and SQL.
• Experience integrating enterprise SaaS platforms via REST APIs and connectors.
• Track record of translating ambiguous business requests into shipped solutions with measurable outcomes.
• Demonstrated ownership of technical strategy, reference architecture, or engineering standards adopted across multiple teams or business units.
• Experience mentoring engineers and leading technical design reviews.
• Clear written communication for executive and non‑technical audiences.
• Experience with Oracle CX (Sales Cloud, Eloqua), Sage Intacct, or CData Connect AI preferred.
• Experience with Copilot Studio, Power BI, or Dataverse preferred.
• AWS experience (Bedrock, IAM, Lambda) preferred.
• Experience with RAG, evaluation frameworks, and LLM observability.
• Background in hospitality, real estate, or multi‑site operations preferred.
• Experience building internal AI training or enablement programs preferred.

Additional Requirements:

• Flexibility and ability to pivot to new projects and desire to work in fast‑paced environment.
• Positive attitude, professional demeanor, and exceptional communication and interpersonal skills to deliver service to members, guests, and team members.
• Ability to work in a team environment.
• Ability to stay calm and focused during the busiest of times.
• Ability to read, write, speak, and understand English; additional languages preferred.
• Must be able to work flexible work hours/schedule including evenings, weekends, and holidays. Long hours may be required due to business demands.
• Ability to meet the physical demands of the position including, but not limited to, working indoors and outdoors in all weather conditions, standing, walking, and moving for periods of greater than eight (8) hours, and lifting and carrying items sometimes greater than fifty (50) pounds.

Benefits:

• Competitive Pay
• Medical, Dental, and Vision Benefits
• 401k Contribution
• Paid Time Off and Paid Holidays
• Employee Meals, Referral Incentives, and Recognition Programs
• Holiday Pay
• Professional development and upward mobility opportunities
• Work‑Family Culture

Discovery Land Company's good faith estimate of the salary range it reasonably expects to pay for this position upon hire is $250k plus bonus.

About Us:

Discovery Land Company is a U.S.-based real estate developer and operator of private residential communities with a world‑renowned portfolio of domestic and international properties. The mission of Discovery Land Company is to create one‑of‑a‑kind environments that provide individuals and families the freedom, security, and resources to learn, grow, and play in some of the most beautiful places in the world.

The mission of Discovery Land Company is to create one‑of‑a‑kind environments that provide individuals and families the freedom, security, and resources to learn, grow, and play in some of the most beautiful places in the world.

Discovery Land Company and all US‑based affiliate companies participate in e‑Verify. Please see these notices for more information: Right to Work Notice and E‑Verify Participation.