3E

Director, Applied AI Engineering

3E

full-time

Posted on:

Location Type: Remote

Location: Maryland • United States

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Salary

💰 $190,000 - $220,000 per year

Job Level

Lead

Tech Stack

Cloud

About the role

  • Lead the team turning powerful AI models and proprietary data into secure, scalable, user-facing solutions.
  • Partner closely with the engineering and product leadership team to build, iterate, and scale AI-powered capabilities that drive measurable customer and business outcomes.
  • Establish the engineering foundations (platform, APIs, evaluation, safety, and operations) to deliver expert-led AI at scale.
  • Redesign and operationalize an AI-native software development lifecycle that accelerates planning, coding, testing, review, and production operations—securely and with strong observability.
  • Architect from first principles, shape how AI amplifies human capability at scale, and leave a lasting imprint on both 3E and the broader industry.

Requirements

  • Bachelor’s degree in Computer Science, Data Science, Machine Learning, or a related field or equivalent experience developing and deploying production-grade AI systems and/or SaaS platforms at scale.
  • Demonstrated success leading application engineering organizations through meaningful transformation, including measurable improvements in speed, quality, reliability, and team leverage.
  • Proven experience re-architecting SDLCs and engineering workflows (CI/CD, quality gates, testing strategy, release practices, observability) to materially improve delivery speed and quality; experience designing or operating AI-native or AI-augmented engineering organizations.
  • Deep, hands-on experience developing and deploying production-grade AI systems as a Software Engineer or Machine Learning Engineer (or similar role).
  • Hands-on experience with LLMs, generative AI, and agentic frameworks such as MCP, A2A, and the OpenAI Agents SDK.
  • Proven ability in AI infrastructure: production-grade inference serving, MLOps pipelines, evaluation practices, and shared services.
  • Solid understanding of AI safety, alignment, privacy, and ethical development practices.
  • Hands-on experience with local/open LLM runtime and serving tools (e.g., Ollama) and similar tooling for controlled deployments.
  • Background in modern cloud-based, SaaS, or platform-oriented architectures, including scalable service patterns and secure API design.
  • Physically located on the U.S. East Coast and willing to work effectively across multiple time zones (North America, Europe, and Asia).
Benefits
  • Health, dental, and vision insurance
  • Life insurance and disability coverage
  • Open PTO and parental leave
  • 401(k) plan with company matching
  • Employee assistance program
  • Voluntary supplemental benefits (Accident, Hospital Indemnity, Critical Illness)
Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills & Tools
AI modelsproduction-grade AI systemsSaaS platformssoftware development lifecycleCI/CDMLOps pipelinesinference servingLLMsgenerative AIAI safety
Soft Skills
leadershipteam collaborationtransformation managementcommunicationproblem-solvingorganizational skillsobservabilityplanningquality improvementreliability