3E
Intelligent compliance. Sustainable progress. A safer world.
Director, Applied AI Engineering
AI EngineerMachine Learning EngineerFull TimeRemoteTeam 501-1,000Since 1993H1B SponsorCompany SiteLinkedIn
Location
Maryland
Posted
39 days ago
Salary
$190K - $220K / year
Bachelor DegreeEnglishCloud
Job Description
• 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.
Job 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)
