AI Solutions - Agent Engineer

Role Description

The AI Solutions Engineer is a hands-on technical role focused on building, deploying, and supporting AI-driven solutions, including AI and Digital Employee offerings, that address real-world client and internal business needs.

Operating at the intersection of emerging AI technologies and practical implementation, this role is responsible for executing on defined solution architectures, developing proof-of-concept and production-ready systems, and integrating AI capabilities into scalable, supportable environments.

This individual works closely with Innovation leadership, AI Architects, engineering, and customer-facing teams to bring AI solutions to life. Responsibilities include:

• Develop and support AI-based managed services and Digital Employee offerings from prototype through production deployment.
• Engineer agentic systems with memory, tools, and orchestration.
• Help define the future Digital Workforce platform.
• Build and implement AI-driven solutions with a focus on LLMs, generative AI, AI agents, and automation platforms.
• Execute on defined solution architectures by developing, integrating, and deploying AI systems.
• Design and deliver proof-of-concept implementations to validate AI use cases.
• Collaborate with AI Architects, Innovation, engineering, and operations teams.
• Integrate AI solutions into client environments.
• Ensure AI solutions align with client business objectives and governance requirements.
• Support client engagements including technical discussions and ongoing optimization.
• Translate complex AI concepts into clear, practical guidance.
• Contribute to documentation, enablement materials, and internal training.
• Continuously monitor emerging tools, frameworks, and best practices.
• Participate in cross-functional planning sessions to align AI initiatives.

Qualifications

• Bachelor’s degree in Computer Science, Information Technology, Data Science, or a closely related discipline.
• 3–6+ years of experience in software engineering, solution implementation, automation, or related technical roles.
• Hands-on experience building or implementing artificial intelligence, machine learning, generative AI, or large language model (LLM)-based systems.
• Experience developing and integrating APIs, automation workflows, or distributed systems in production environments.
• Relevant certifications related to cloud platforms, AI/ML, or software engineering are preferred but not required.

Requirements

• Hands-on experience building and deploying AI solutions, including large language models (LLMs), agent-based systems, and automation workflows.
• Proficiency in software development and integration (e.g., Python, APIs, SDKs, or equivalent modern development tools).
• Experience working with cloud platforms and modern application architectures (cloud-native or hybrid environments).
• Ability to implement and integrate AI solutions into business processes and existing technology ecosystems.
• Strong problem-solving skills with the ability to move from concept to working solution quickly.
• Effective communication skills, with the ability to explain technical concepts to both technical and non-technical audiences.
• Proven ability to collaborate across engineering, innovation, sales, and delivery teams.
• Demonstrated curiosity and commitment to continuous learning in a rapidly evolving AI landscape.
• Ability to balance rapid experimentation with building stable, supportable solutions.

Benefits

• Pay Range: $109,855 - $175,768 annually.
• The pay range listed for this position is based on candidate's skill level, experience, relevant licenses, and educational background.
• For detailed information about our benefits, please visit our careers page at .

Location

This is a remote-eligible position; however, Marco Technologies requires employees to reside within one of the following states: DE, FL, IA, IL, IN, KY, MD, MI, MN, MO, ME, NE, ND, NJ, PA, RI, SD, TX, WI.