Digital Solutions Engineer

AFL manufactures industry-leading fiber optic cable, connectivity and accessories and provides engineering and installation services for some of the largest telecom customers in the world. Our company was founded in 1984 with a single fiber optic cable and today, we manufacture thousands of products, generate an excess of $2B in revenue, and employ approximately 11,000 associates worldwide. At AFL, we recognize that our employees are our greatest asset. We hire and train each individual, investing in them to ensure success in their careers. With a commitment to professional development and growth, let us connect you to your next career opportunity. 

• Build rapid prototypes and proof-of-concepts to validate emerging technology solutions across AI, automation, and integration domains
• Develop functional demonstrations that prove or disprove technical and business hypotheses within tight timeframes
• Create working integrations between systems to assess feasibility and implementation complexity
• Construct interactive demos and user interfaces that help stakeholders visualize and test potential solutions
• Write clean, well-documented code that can be handed off to production teams for successful pilots
• Develop automation workflows using low-code platforms, scripting, and integration tools

• Partner with Solutions Architects to translate solution designs into working prototypes
• 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

• 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

• 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

• 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 GCP), 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

• 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

• 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

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