3E · 5 hours ago
Director, Applied AI Engineering
United States
Full-time
Remote
Director/Executive
$190K/yr - $220K/yr3E is a mission-driven company dedicated to creating a safer and more sustainable world. As the Director of Applied AI Engineering, you will lead the team to develop secure, scalable, AI-powered solutions while collaborating closely with engineering and product leadership to drive customer and business outcomes.
Environmental EngineeringManufacturingMental HealthSupply Chain Management
Responsibilities
Redesign and operationalize an AI-native software development lifecycle (SDLC), including:
AI-assisted and AI-generated code
Autonomous and semi-autonomous engineering AI agents
Model-driven development and test generation
AI-enabled code review, quality, and observability
Lead AI Engineering Strategy & Execution: Define the technical roadmap, architecture standards, and delivery approach for AI-powered products and platforms—from prototype to production
Architect Secure, Autonomous AI Systems: Design and guide development of agent-based tools leveraging solutions like Claude Code, MCPs, A2A, Gemini CLI, the OpenAI Agents SDK, and Knowledge Graph concepts to solve complex, high-value problems
Develop A2A Systems: Build frameworks to enable LLMs to work together internally and externally, increasing the reach of 3E-enabled generative AI systems
Bridge Product & Engineering: Partner with Product, Engineering, and Customer teams to embed AI into tools that enhance usability, decision-making, and automation
Build Seamless API Integrations: Create scalable, secure APIs that connect AI models with web applications, internal systems, and external platforms. Integrate these with MCP for agentic use
Operationalize Production AI: Establish best practices for inference serving, MLOps pipelines, evaluation, observability, and shared services to ensure reliability and performance
Contribute to Responsible AI Practices: Stay current with AI advancements and help define responsible development standards, alignment strategies, and safety protocols
Build and Grow the Team: Hire, mentor, and develop a high-performing team; create a culture of accountability, transparency, and continuous improvement
Qualification
Required
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)
Preferred
Master's degree or Ph.D. in Computer Science, Data Science, Machine Learning, or a related field
Experience with agent orchestration frameworks such as Claude Subagents, AutoGen, or CrewAI
Expertise in prompt engineering, context engineering, RAG pipelines, and optimization
Expertise in deploying open-source LLMs into production (e.g., Qwen, DeepSeek, Llama, Mistral, Gemma)
Familiarity with cloud-based AI tools (e.g., AWS Bedrock, GCP Vertex AI, Azure ML)
Experience integrating AI capabilities into legacy web applications, desktop applications, and APIs
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)
Company
3E
3E provides environmental health and safety (EHS) compliance and information management services.
Founded in 1988
501-1000 employees
H1B Sponsorship
3E has a track record of offering H1B sponsorships. Please note that this does not
guarantee sponsorship for this specific role. Below presents additional info for your
reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
Represents job field similar to this job
Trends of Total Sponsorships
2024 (2)
Funding
Current Stage
Late StageLeadership Team
Greg Gartland
Chief Executive Officer
Marcus Daley
CTO
Recent News
2025-09-12
Company data provided by crunchbase