Digital Solutions Engineer

AFL Global

118d • Hybrid

About The Position

AFL is seeking a Digital Solutions Engineer to design and deliver innovative prototypes that validate emerging technologies in AI, automation, and system integration. This role combines hands-on development with solution design, requiring strong technical skills. The Digital Solutions Engineer will collaborate with teams to deliver innovative solutions that drive business impact.

Requirements

• 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
• 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

Nice To Haves

• 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

Responsibilities

• 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

Benefits

• A hybrid in office schedule for qualifying employees
• Flexible time off policy
• 401K Company match (up to 4% - dollar for dollar)
• Professional development, training, and tuition reimbursement programs
• Excellent medical, dental, vision, and life insurance policy options
• Opportunities for career advancement with an industry leading company!

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level