AI Solutions Engineer
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Job Description
AI Solutions Engineer responsible for internal AI capabilities development at Finn Partners. Leading AI solutions from design to deployment in a collaborative team setting.
Responsibilities:
- 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.
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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