AI Solution Engineer

Summary

Join Abnormal AI as an AI Solutions Engineer and accelerate the adoption of AI tools. You will design, build, and deploy AI-powered solutions, collaborating with stakeholders to identify high-impact opportunities. This high-visibility role demands hands-on coding, system integration, and model implementation. You will work across technical and non-technical domains, translating complex requirements into scalable systems. The role is fully remote for US and Canada-based candidates. You will focus on building impactful, real-world solutions and improving business processes using AI.

Requirements

• 3–4 years of experience in technical solution development, AI/ML applications, or IT systems enablement
• A Master’s degree in Machine Learning, AI, or a related field may substitute for some experience
• Proficient in Python with experience using AI/ML libraries and frameworks such as (LangChain, Hugging Face, Transformers, Scikit-learn, TensorFlow, PyTorch)
• Skilled at translating business requirements into technical solutions and delivering AI projects from ideation to production
• Hands-on experience configuring and deploying AI tools through APIs, SDKs, or SaaS platforms
• Ability to assess business challenges and recommend effective AI-driven solutions
• Experience with LLM APIs (e.g., OpenAI) and tools like (Google AI Studio, AWS Bedrock, Similar AI platforms)
• Fantastic communication and documentation skills for user training and stakeholder interaction
• Experience in collaborating with various teams, such as marketing and business operations
• Working knowledge of data privacy, security, and compliance best practices in AI implementation

Responsibilities

• Design and implement AI tools, workflows, and integrations that empower key business functions like Sales, Marketing, and Customer Success
• Engage directly with stakeholders to assess needs and map AI capabilities to real process improvements
• Develop and deploy tools that drive efficiency and impact, including coding, configuration, and optimizing tool usage
• Collaborate across internal teams—AI/ML, IT, and data—to ensure solutions are secure, scalable, and compliant
• Create documentation and best practices to support broader adoption of AI tools
• Monitor usage metrics and iterate based on insights
• Stay up to date with emerging AI platforms and evaluate their fit for the business

Preferred Qualifications

• Experience in a high-growth or startup environment
• Prior experience deploying AI chatbots, copilots, or automation tools to support business functions
• Familiarity with modern data stacks (e.g., dbt, Snowflake, Databricks) and how AI connects to data workflows
• Experience with prompt engineering and prompt optimization for generative AI tools
• Exposure to IT service management or agile project management practices
• Familiarity with MLOps practices (e.g., Docker, Git, CI/CD, monitoring)
• Familiarity with other programming languages (SQL, JavaScript, etc.)

Benefits

• Bonus
• Restricted stock units (RSUs)
• Benefits