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AI Solutions Engineer - Remote

Roles & Responsibilities

  • Solid understanding of machine learning techniques and algorithms.
  • Strong proficiency in programming languages and experience with AI frameworks and libraries.
  • Practical experience with generative AI APIs and evaluation methods; familiarity with cloud platforms (Azure, GCP, AWS) and their AI/ML services.
  • Familiarity and experience with setting up and leveraging MCP servers to power AI-driven actions; strong problem-solving, analytical thinking, and ability to translate business needs into technical requirements; degree in Computer Science, Artificial Intelligence, or related field with hands-on experience.

Requirements:

  • Lead the design, development, deployment, and maintenance of robust, scalable AI-powered tools and integrations across internal systems, managing the full lifecycle from prototype to production.
  • Perform platform assessment and implementation: leverage existing tech stack, evaluate and implement a standard agentic AI platform for enterprise-wide solutions, ensuring the internal AI stack is modern and efficient.
  • Develop and prototype internal tools, integrations and micro-services; rapidly validate AI-enabled utilities and promote successful pilots into robust production services; oversee architectural and technology choices and debug multi-service environments.
  • Provide hands-on prompt engineering guidance for generative models; assist teams with data preparation, fine-tuning and evaluation to maximize solution accuracy, safety, and reliability.

Job description

The AI Solutions Engineer is the primary builder, architect, and technical steward of the organization's internal AI capabilities. This role is responsible for the design, development, and operationalization of robust, scalable AI-powered tools and integrations that solve specific business problems. Their mission is to translate high-level business needs and identified opportunities into tangible, working technology. The primary objective is to build and maintain the technical infrastructure that enables the organization's AI adoption strategy.

Key Responsibilities:

This role is responsible for the full technical lifecycle of AI-driven solutions, from initial prototype to production deployment and maintenance.

Platform Assessment & Implementation

· 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.

Internal Tool Development & Prototyping

· 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.

System Architecture & Technical Oversight

· Oversee architectural and technology choices for all internal AI systems by reviewing model selection, libraries, and frameworks.

· The Solutions Engineer is also responsible for debugging multi-service environments when needed.

Hands-On Prompt Engineering & Solutioning

· 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 maximise solution accuracy, safety and reliability.

Required Skills & Qualifications

Technical Expertise

· A solid understanding of machine learning techniques and algorithms.

· Strong proficiency in applicable programming languages

· Experience with AI frameworks and libraries

Platform & Systems Knowledge

· 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. The ability to design and implement scalable and robust AI systems is a core requirement.

· Familiarity and experience with setting up and leveraging MCP servers to power AI driven actions

Problem-Solving

Strong analytical thinking and problem-solving capabilities are essential for navigating complex technical challenges and translating business needs into technical requirements.

Work Experience

A degree in Computer Science, Artificial Intelligence, or a related field is typically required, along with significant hands-on experience in a similar role.

Why Join Us?

● Be at the forefront of AI innovation and directly impact how our entire organization leverages this transformative technology.

● Work in a collaborative and supportive environment where your contributions are highly valued.

● Opportunity for continuous learning and professional development in a rapidly evolving field.

● Shape the future of AI adoption and empower 1300+ employees to achieve their full potential.

Anticipated Salary: $90K to $100K.; salary commensurate with experience and depending upon workplace.

Please upload your resume and cover letter, as well as indicate your desired salary in $US Dollars.

While we appreciate the interest of all candidates, we will only respond to those with whom we have a greater interest.

#LI-DS1 #LI-remote 

About FINN Partners:

Founded in 2011 on the core principles of innovation and collaborative partnership, FINN Partners has grown from about $24 million in fees to nearly $200 million in fees over ten years, becoming one of the fastest growing independent public relations agencies in the world. The full-service marketing and communications company's record setting pace is a result of organic growth and integrating new companies and new people into the FINN world through a common philosophy. With more than 1,300 professionals across 35 offices, FINN provides clients with global access and capabilities in the Americas, Europe and Asia. FINN Partners clients are also supported through longstanding partner agencies and its membership in the PROI network of leading agencies around the world. Headquartered in New York, FINN has offices in: Abu Dhabi, Atlanta, Bangalore, Bangkok, Beijing, Boston, Chicago, Delhi, Denver, Detroit, Dublin, Fort Lauderdale, Frankfurt, Hong Kong, Honolulu, Jerusalem, Kuala Lumpur, London, Los Angeles, Madison, Manila, Mumbai, Munich, Nashville, Orange County, Paris, Portland, San Diego, San Francisco, Seattle, Shanghai, Singapore, Washington D.C. and Yangon.

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