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# AI Solutions Specialist-Remote

- **Company:** Answer Financial Inc.
- **Location:** United States (Remote available)
- **Salary:** $90,700.0 - $158,200.0
- **Contract:** Permanent contract
- **Skills:** Java (Programming Language), Agile Methodology, Artificial Intelligence, Amazon Web Services, Data Analysis, JIRA, Microsoft Azure, Big Data, Cloud Computing, Data Security, Data Visualization, Python (Programming Language), Power BI, Cloud Services, Tensorflow, Software Deployment, Microsoft Power Automate, Low-code, Programming Languages
- **Published:** May 16, 2026
- **Apply:** http://afi.hrmdirect.com/employment/job-opening.php?req=3716369&req_loc=1326411&

## About the Role

* Programming Languages: Proficiency in programming languages such as Python, R, or Java.
 * AI/ML Frameworks & Tools: Strong knowledge of top players such as OpenAI, Gemini, Llama, AWS and Microsoft Copilot.
 * Cloud Platforms: Familiarity with cloud platforms such as AWS and Azure for AI deployment and large-scale systems.
 * Project Management: Familiarity with agile development tools such as JIRA
 * Problem-Solving: Excellent analytical, logical, and creative problem-solving skills.
 * Communication: Strong communication and stakeholder management skills to collaborate effectively.
 * Business Acumen: Ability to understand customer needs, build business cases, and align AI solutions with business goals.
 * Responsible AI: Understanding of ethical considerations, fairness, and transparency in AI development.

## Description

* Solution Design: Evaluate and recommend the appropriate Generative AI or Agentic AI tools for each use case. Translate business and technical requirements into detailed workflows and process diagrams for AI solutions.
 * Stakeholder Collaboration: Work with cross-functional teams, including Engineering, Security, Telephony, Sales, Reporting and Data Science teams to define solution requirements and achieve goals.
 * Technical Implementation: Oversee the deployment and management of AI models and tools, ensuring their smooth operation in production environments.
 * Performance Optimization: Oversee the evaluation, fine-tuning, and optimization of AI models and infrastructure for optimal performance and scalability.
 * Data Analysis: Oversee the analysis and processing of large datasets from AI models and support data-driven decision-making. Utilize data visualization tools such as PowerBI to report on performance of AI implementations.
 * Governance: Coordinate with compliance and data security teams to ensure a framework of processes, policies, and practices consistently guide the reasonable, ethical, and safe development of AI systems.
 * Tool Administration: Manage and administer AI-related tools, platforms, and technologies, including cloud services and low-code platforms.
 * Customer Support: Provide user enablement and support for AI tools and platforms to promote adoption and efficient use.
 * Staying Current: Keep up to date with the latest advancements, technologies, and trends in AI and machine learning.


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