AI Solutions Engineer – Agentic & Multi-Agent Systems

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 building agent-based systems, implementing automation workflows, supporting client engagements, and contributing to the delivery of commercially viable AI services.

ESSENTIAL FUNCTIONS:

• Develop and support AI-based managed services and Digital Employee offerings from prototype through production deployment - building and deploying AI Employees that perform real work across business functions, not demos or prototypes, but systems used in production.
• Engineer agentic systems with memory, tools, and orchestration, working alongside architects to bring advanced AI designs to life.
• Help define the future Digital Workforce platform, delivering solutions both internally at Marco and externally as client-facing services.
• Build and implement AI-driven solutions with a focus on LLMs, generative AI, AI agents, and automation platforms from leading providers.
• Execute on defined solution architectures by developing, integrating, and deploying AI systems in real-world environments.
• Design and deliver proof-of-concept implementations to validate AI use cases, technical feasibility, and business value.
• Collaborate with AI Architects, Innovation, engineering, and operations teams to implement scalable, secure, and supportable solutions.
• Integrate AI solutions into client environments, including APIs, business systems, and automation platforms.
• Ensure AI solutions align with client business objectives, governance requirements, security best practices, and responsible AI principles.
• Support client engagements including technical discussions, solution implementation, pilots, and ongoing optimization.
• Translate complex AI concepts into clear, practical guidance for internal stakeholders and client audiences.
• Contribute to documentation, enablement materials, and internal training related to AI offerings.
• Continuously monitor emerging tools, frameworks, and best practices to improve solution delivery and execution.
• Participate in cross-functional planning sessions to align AI initiatives with business strategy and client needs.

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.

REQUIRED SKILLS:

• 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.

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