AI Solutions Engineer

PCOnline; Newark (DE); On-site; USD 85,000 - 110,000; Full time

Job summary

PCOnline is seeking an AI Solutions Engineer to enhance operational efficiency through innovative AI-enabled solutions. The successful candidate will collaborate cross-functionally to analyze and address business challenges and apply advanced technologies such as LLMs and automation workflows.

The ideal individual has a Bachelor's degree in a related field and at least 2 years of experience in software or solutions engineering. If you are passionate about transforming businesses with AI, we want to hear from you!

Qualifications

• 2+ years of experience in software engineering or related technical roles.
• Hands-on experience with AI application development and relevant technologies.
• Ability to convert business problems into actionable technical solutions.

Responsibilities

• Design and implement AI-enabled solutions for business challenges.
• Collaborate with stakeholders to understand requirements and translate needs.
• Evaluate solution performance and continuously improve them.

Skills

Programming in Python

Working with APIs

Data processing workflows

AI application development

Strong communication skills

Education

Bachelor's degree in Computer Science or related field

Tools

SQL

BI tools

Cloud platforms

Job description

We are looking for an AI Solutions Engineer to join our Technical & Data Intelligence team. This role is designed for a hands-on problem solver who can combine AI, software engineering, data, and business understanding to build practical solutions that improve operational efficiency and decision-making across the organization. The ideal candidate is comfortable working in ambiguous business environments, partnering with cross-functional teams, identifying opportunities for improvement, and delivering scalable technical solutions from concept to implementation. We value candidates who can go beyond building demos. The right person is able to understand a real business problem, design a practical solution, build it, deploy it, support adoption, and continuously improve it based on user feedback and measurable impact.

Key Responsibilities

• Design, develop, and implement AI-enabled solutions that address real business and operational challenges.
• Work closely with business and technical stakeholders to understand requirements, clarify problems, and translate needs into practical technical solutions.
• Build and integrate AI applications, automation workflows, internal tools, and data-driven solutions into existing business processes.
• Apply technologies such as LLMs, RAG, agents, prompt engineering, APIs, and data pipelines where appropriate to improve productivity and decision-making.
• Support the full solution lifecycle, including discovery, prototyping, development, testing, deployment, documentation, and ongoing improvement.
• Evaluate solution performance, reliability, usability, cost, and business impact, and continuously improve delivered solutions.
• Collaborate with engineering, data, product, operations, and business teams to ensure solutions are adopted and maintained effectively.

Basic Qualifications

• Bachelor’s degree in Computer Science, Engineering, Data Science, Information Systems, or a related field, or equivalent practical experience.
• 2+ years of experience in software engineering, solutions engineering, data engineering, automation, AI application development, or related technical roles.
• Strong programming ability in Python and experience working with APIs, databases, SQL, and data processing workflows.
• Hands-on experience with AI application development, including LLM APIs, RAG, agents, prompt engineering, or related technologies.
• Ability to understand business processes, analyze ambiguous problems, and convert them into actionable technical solutions.
• Experience delivering technical solutions beyond prototypes, preferably in production or business-critical environments.
• Strong communication skills and ability to work effectively with both technical and non-technical stakeholders.
• Strong ownership, execution ability, and willingness to work in a fast-moving environment.
• Experience in solutions engineering, forward deployed engineering, internal tools, automation, technical consulting, or business systems implementation.
• Experience with enterprise systems, workflow automation, BI tools, cloud platforms, or data platforms.
• Experience building AI assistants, automation tools, knowledge systems, decision-support tools, or internal productivity applications.
• Familiarity with cloud infrastructure, system integration, security, permissions, monitoring, and production reliability practices.