United States onlyThis position is posted by Jobgether on behalf of a partner company. We are currently looking for an AI Solutions Engineer in the United States.
We are seeking a dynamic AI Solutions Engineer to design, build, and deploy AI-powered tools and workflows that transform business operations. In this hands-on role, you will work closely with stakeholders across Sales, Marketing, and Customer Success to identify high-impact opportunities and deliver scalable solutions. You will be involved in coding, system integration, and model deployment, while also supporting adoption and enablement efforts. This role is ideal for someone who thrives in a fast-paced environment, enjoys solving complex problems, and is passionate about leveraging AI to drive measurable business impact.
Accountabilities:
- Design, implement, and maintain AI tools, workflows, and integrations to support key business functions.
- Collaborate with internal teams—including AI/ML, IT, and data—to ensure solutions are secure, scalable, and compliant.
- Translate business requirements into technical solutions, from ideation to production deployment.
- Develop, configure, and optimize AI tools using APIs, SDKs, or SaaS platforms.
- Monitor usage, gather insights, and iterate on solutions to maximize efficiency and impact.
- Create documentation, best practices, and training materials to support broader adoption.
- Stay up to date with emerging AI platforms and evaluate their applicability to business needs.
Requirements
- 3–4 years of experience in AI/ML solution development, technical solution delivery, or IT systems enablement.
- Proficient in Python with hands-on experience using AI/ML libraries and frameworks such as LangChain, Hugging Face, Transformers, Scikit-learn, TensorFlow, or PyTorch.
- Experience deploying AI solutions via APIs, SDKs, or SaaS platforms.
- Skilled at translating business challenges into technical solutions and delivering AI projects end-to-end.
- Familiarity with LLM APIs (e.g., OpenAI) and tools like Google AI Studio or AWS Bedrock.
- Strong communication and documentation skills for user training and stakeholder engagement.
- Working knowledge of data privacy, security, and compliance in AI implementations.
- Ability to collaborate across teams and support adoption of AI tools.
- Master’s degree in Machine Learning, AI, or a related field may substitute for some experience.
- Experience with modern data stacks, prompt engineering, MLOps practices, or additional programming languages is a plus.
Benefits
- 💻 Fully remote within the United States.
- 💰 Competitive base salary: $114,800–$135,000 USD.
- 🎯 Eligibility for bonus programs and equity (RSUs) depending on role and performance.
- 🏥 Healthcare coverage and other benefits tailored to individual needs.
- 📚 Opportunities for professional development and learning in a high-growth AI environment.
Jobgether is a Talent Matching Platform that partners with companies worldwide to efficiently connect top talent with the right opportunities through AI-driven job matching.
When you apply, your profile goes through our AI-powered screening process designed to identify top talent efficiently and fairly:
- 🔍 Our AI evaluates your CV and LinkedIn profile thoroughly, analyzing your skills, experience, and achievements.
- 📊 It compares your profile to the job’s core requirements and past success factors to determine your match score.
- 🎯 Based on this analysis, we automatically shortlist the 3 candidates with the highest match to the role.
- 🧠 When necessary, our human team may perform an additional manual review to ensure no strong profile is missed.
The process is transparent, skills-based, and free of bias—focusing solely on your fit for the role. Once the shortlist is completed, it is shared directly with the company. The final decision and next steps, such as interviews or additional assessments, are then made by their internal hiring team.
United Kingdom only
