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# Digital Solutions Engineer

- **Company:** Afl Network Services
- **Location:** United States
- **Experience:** Experienced
- **Contract:** Permanent contract
- **Skills:** Java (Programming Language), JavaScript (Programming Language), Application Programming Interfaces (APIs), Artificial Intelligence, Amazon Web Services, Business Analytics Applications, Microsoft Azure, C Sharp (Programming Language), Cloud Computing, Databases, Data Visualization, Software Debugging, Web Development, Python (Programming Language), Machine Learning, Automation of Marketing, NoSQL, Rapid Prototyping Process, Salesforce.Com, Software Engineering, SQL Databases, Systems Integration, Google Cloud, Microsoft Power Automate, Large Language Models, Prompt Engineering, Zapier, Generative AI, No-code Tools, Data Analytics, Low-code, Nintex, Virtual Agents, Api Design, Restful APIs, Data Pipelines, Servicenow, Programming Languages
- **Published:** May 28, 2026
- **Apply:** https://www.dice.com/job-detail/e65ff291-0c54-4329-b7f0-46e4b0d7e276

## About the Role

* Bachelor's degree required.
 * 3+ years of hands-on software development, technical implementation, or solutions engineering experience
 * Proficiency in modern programming languages such as Python, JavaScript, Java, or C#
 * Experience building web applications, APIs, REST services, or system integrations
 * Working knowledge of databases (SQL and NoSQL), cloud platforms (Azure, AWS, or Google Cloud Platform), and API development
 * Demonstrated ability to quickly learn and work with new technologies and platforms
 * Strong problem-solving skills with ability to debug, troubleshoot, and work through ambiguity

AI & Automation Experience (Preferred)

 * Hands-on experience with AI/ML technologies, LLM APIs (OpenAI, Anthropic, Azure AI), or integrating pre-built models
 * Ability to work with data scientists and understand how to integrate models into applications
 * Familiarity with automation platforms such as Power Automate, Zapier, n8n, or RPA tools
 * Experience with low-code/no-code platforms (Power Platform, Salesforce, ServiceNow, etc.)
 * Understanding of prompt engineering, AI agent development, or generative AI applications
 * Experience consuming and visualizing data from analytics platforms and APIs

Mindset & Approach

 * Balanced builder mentality: Comfortable with rapid prototyping while also maintaining production-quality solutions
 * Experimental mindset: Willing to try, fail, learn, and iterate rapidly within time-boxed constraints
 * Business orientation: Focused on outcomes and business impact, not just technical elegance
 * Collaborative team player who values partnership and knowledge sharing
 * Strong time management with ability to balance multiple priorities

Decision-Making Autonomy: Moderate - Autonomy in technical implementation choices with guidance from Senior Engineers and Solutions Architects on complex decisions

Complexity of Role: High - Managing diverse prototype projects with emerging technologies and coordinating across multiple teams

## Description

* Work closely with the BI/Data team to integrate analytics, AI/ML models, and data pipelines into applications
 * Collaborate with business stakeholders to understand requirements, gather feedback, and refine prototypes iteratively
 * Engage with enterprise IT and platform teams to understand technical constraints, security requirements, and integration patterns
 * Coordinate handoffs to production teams, including documentation, knowledge transfer, and transition support
 * Facilitate collaboration between BI/Data team and business units on data-driven proof-of-concepts

Technology Evaluation & Validation

 * Conduct hands-on technical evaluations of emerging platforms, APIs, and tools
 * Contribute to proof-of-concept projects, demonstrating practical experience in rapid prototyping and software engineering
 * Assess integration complexity, performance characteristics, and scalability considerations
 * Identify technical risks, constraints, and requirements for potential implementations
 * Test vendor solutions and provide honest, data-driven assessments of capabilities versus claims
 * Validate technical feasibility through working demonstrations rather than theoretical analysis

Continuous Learning

 * Stay current with the latest advancements in AI, automation, and emerging technologies
 * Research and experiment with new tools, platforms, and approaches worth exploring
 * Conduct thorough testing and validation to ensure the reliability and accuracy of prototypes and recommendations
 * Attend conferences, webinars, and training to build expertise in emerging technology domains
 * Share knowledge and learnings with the broader organization through documentation and presentations


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