AI Solution Engineer (Full-time – Remote – USA or Canada)

A reputable a company focused on protecting organizations from sophisticated email attacks like phishing, business email compromise, and account takeovers.  is seeking a well-rounded AI Solution Engineer to join their technology team. This full-time, remote role is open to candidates living in the United States and Canada, offering exceptional flexibility. In this high-impact position, you will serve as a key contributor to the technical development of AI-powered tools and platforms—designing, building, and deploying solutions that transform how teams operate. You’ll be hands-on with coding, system integration, and model implementation, while also deeply involved with stakeholders to identify high-impact opportunities for AI adoption.

This is a high-velocity, high-visibility role for someone who is customer-obsessed, technologically fluent, and highly motivated to drive measurable outcomes with AI.

Who You Are: A Customer-Obsessed, Impact-Driven Engineer

You’re an engineer with a passion for building impactful, real-world solutions, thriving at the intersection of technology, communication, and innovation. You’re comfortable working across both technical and non-technical domains, bringing fantastic communication skills and a systems-thinking mindset to every challenge. You have hands-on experience with AI tools, development frameworks, APIs, and automation, and you’re always exploring emerging technologies with curiosity and enthusiasm. From ideation to production, you’re confident architecting and implementing end-to-end AI solutions that solve real business problems. You navigate ambiguity with ease, translating complex requirements into elegant, scalable systems, and you take pride in helping others adopt new tools through training and support. A proactive teammate, you can take ownership of your work, iterate quickly, and know when progress today is more valuable than perfection tomorrow. Detail-oriented but never losing sight of the bigger picture, you balance technical excellence with business impact—always focused on solutions that truly matter.

What You Will Do: Accelerating Business Functions with AI

In this role, you’ll be instrumental in designing and implementing AI tools, workflows, and integrations that directly empower key business functions. Your responsibilities will bridge technical development with strategic enablement and continuous optimization of AI solutions.

• Design and Implement AI Tools, Workflows, and Integrations: You’ll design and implement custom AI tools, workflows, and integrations specifically tailored to empower key business functions like Sales, Marketing, and Customer Success. This involves creating new software solutions, configuring existing platforms, and ensuring seamless data flow between AI models and business applications to drive efficiency and impact.
• Engage Directly with Stakeholders: You’ll engage directly with stakeholders from various business units to assess their needs, understand their processes, and map AI capabilities to real process improvements. This collaborative approach ensures that AI solutions are designed to solve genuine business challenges and deliver measurable value.
• Hands-on Development and Deployment of AI Tools: Whether building custom solutions or leveraging third-party platforms, you’ll be hands-on in developing and deploying AI tools that drive efficiency and impact. This includes writing code, configuring tools, integrating APIs, and optimizing tool usage to ensure AI models are effectively operationalized within business workflows.
• Collaborate Across Internal Teams: You’ll foster strong relationships and collaborate across internal teams, including AI/ML engineering, IT operations, and data teams. This ensures that AI solutions are designed to be secure, scalable, and compliant with organizational standards, facilitating seamless integration into the existing technology landscape.
• Support Enablement Efforts with Documentation and Best Practices: You’ll play a crucial role in supporting enablement efforts by creating comprehensive documentation and best practices for AI tool usage. This material will support broader adoption across the organization, empowering users to leverage AI effectively and confidently in their daily work.
• Monitor Usage Metrics and Iterate Based on Insights: You’ll continuously monitor usage metrics for deployed AI tools and solutions. This involves collecting data on adoption rates, performance, and user engagement. You’ll then iterate based on these insights, making data-driven improvements to optimize tool effectiveness and ensure they continue to meet evolving business needs.
• Stay Up to Date with Emerging AI Platforms: You’ll proactively stay up to date with emerging AI platforms and diligently evaluate their fit for the business. This commitment to continuous learning ensures that the organization remains at the forefront of AI innovation, exploring new technologies that can further enhance operational capabilities.

Must Haves: Your Core Skills for AI Solution Engineering

To excel as an AI Solution Engineer, you’ll need a strong foundation in technical solution development, expertise in AI/ML libraries, and the ability to translate business needs into AI-driven outcomes.

• Experience in Technical Solution Development: You must possess 3–4 years of verifiable experience in technical solution development, AI/ML applications, or IT systems enablement. This background demonstrates your practical ability to build and deploy technology solutions in a professional environment.
  • A Master’s degree in Machine Learning, AI, or a related field may substitute for some experience.
• Python Proficiency with AI/ML Frameworks: You must be proficient in Python and have hands-on experience using AI/ML libraries and frameworks. This includes familiarity with LangChain (for LLM application development), Hugging Face (for pre-trained models), Transformers (for NLP), Scikit-learn (for classical ML), TensorFlow (for deep learning), and PyTorch (for deep learning). This expertise is fundamental to building advanced AI solutions.
• Translating Business Requirements into AI Projects: You are skilled at translating complex business requirements into actionable technical solutions, with a proven ability to deliver AI projects from initial ideation through to successful production deployment. This highlights your end-to-end project lifecycle management skills for AI initiatives.
• Hands-on Experience with AI Tool Deployment: You have direct hands-on experience configuring and deploying AI tools through various methods, including APIs, SDKs (Software Development Kits), or SaaS platforms. This demonstrates your practical ability to integrate and operationalize AI solutions within diverse business environments.
• Ability to Assess Business Challenges and Recommend AI Solutions: You possess the strong ability to assess business challenges and effectively recommend AI-driven solutions that provide measurable value. This requires a keen analytical mind and an understanding of how AI capabilities can address real-world problems.
• Experience with LLM APIs and AI Platforms: You have practical experience with LLM (Large Language Model) APIs (e.g., OpenAI) and familiarity with prominent AI platforms like Google AI Studio, AWS Bedrock, or other similar AI platforms. This indicates your proficiency in leveraging cutting-edge generative AI models for application development.
• Fantastic Communication and Documentation Skills: You possess fantastic communication skills, both verbal and written, essential for user training and effective stakeholder interaction. Your ability to create clear documentation is crucial for enabling broader AI adoption.
• Experience Collaborating with Various Teams: You have proven experience in collaborating with various teams, such as marketing and business operations. This highlights your cross-functional teamwork abilities and your capacity to align AI solutions with diverse business needs.
• Working Knowledge of AI Privacy, Security, and Compliance: You bring a solid working knowledge of data privacy, security, and compliance best practices in AI implementation. This ensures that the AI solutions you develop are not only effective but also adhere to ethical guidelines and regulatory requirements.

Nice to Have: Enhancing Your AI Solution Engineering Profile

• High-Growth or Startup Environment Experience: Experience working in a high-growth or startup environment is a plus. This indicates adaptability, resilience, and comfort with fast-paced, evolving landscapes.
• AI Chatbots, Copilots, or Automation Tools Deployment: Prior experience deploying AI chatbots, copilots, or automation tools to support various business functions would be highly beneficial, demonstrating practical application of AI for efficiency.
• Modern Data Stacks Familiarity: Familiarity with modern data stacks (e.g., dbt, Snowflake, Databricks) and an understanding of how AI connects to data workflows would be a valuable asset, showcasing a broader data ecosystem understanding.
• Prompt Engineering Experience: Experience with prompt engineering and prompt optimization for generative AI tools is a plus, indicating specialized skills in fine-tuning LLM interactions.
• IT Service Management/Agile Project Management Familiarity: Exposure to IT service management or agile project management practices would be beneficial for understanding operational workflows and project delivery.
• MLOps Practices Familiarity: Familiarity with MLOps practices (e.g., Docker, Git, CI/CD, monitoring) would be a plus, demonstrating an understanding of operationalizing machine learning models.
• Other Programming Languages: Familiarity with other programming languages (e.g., SQL, JavaScript) would be advantageous, showcasing versatility.

Compensation & Benefits: Rewarding Your Impact

Certain roles are eligible for a bonus, restricted stock units (RSUs), and comprehensive benefits. Individual compensation packages are based on factors unique to each candidate, including their skills, experience, qualifications, and other job-related reasons. The base salary range for this position is $114,800—$135,000 USD.

If this AI Solution Engineer role aligns with your passion for building impactful AI tools, your expertise in Python and AI/ML frameworks, and your drive to accelerate AI adoption across an organization, we encourage you to learn more about this exciting full-time, remote opportunity.

Are you ready to design, build, and deploy AI solutions that transform how teams operate?