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AI Solutions Engineer
Location
United States
Posted
178 days ago
Salary
$90K - $100K / year
Seniority
Senior
Job Description
AI Solutions Engineer
FINN Partners
• This role is responsible for the full technical lifecycle of AI-driven solutions, from initial prototype to production deployment and maintenance. • Leverage first, build second: Prioritize the use of AI capabilities already available within FINN Partners’ tech stack to automate workflows and boost productivity. • Assess, evaluate, and implement a standard agentic AI platform to serve as the foundational technology for enterprise-wide solutions, ensuring our internal AI stack remains modern, efficient, and aligned with industry best practices. • Design, build and maintain supplementary internal tools, integrations and micro‑services when native capabilities do not fully address identified pain‑points or scalability requirements. • Rapidly prototype lightweight AI‑enabled utilities, validate business value, and promote successful pilots into robust production services. • Oversee architectural and technology choices made by AI systems by reviewing model selection, libraries and frameworks, and debug complex multi‑service environments when needed. • Provide expert guidance on crafting effective prompts and interaction patterns for generative models (Gemini, ChatGPT, Claude, etc.). • Assist teams with data preparation, fine‑tuning and evaluation to maximize solution accuracy, safety and reliability.
Job Requirements
- A solid understanding of machine learning techniques and algorithms.
- Strong proficiency in applicable programming languages
- Experience with AI frameworks and libraries
- Practical experience with generative AI APIs and evaluation methods.
- Strong familiarity with cloud platforms like Azure, GCP, or AWS and their respective AI/ML services.
- Familiarity and experience with setting up and leveraging MCP servers to power AI driven actions
- Strong analytical thinking and problem-solving capabilities are essential for navigating complex technical challenges and translating business needs into technical requirements.
- A degree in Computer Science, Artificial Intelligence, or a related field is typically required, along with significant hands-on experience in a similar role.
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