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.

Do you have experience in Technical solutions implementation?, Do you have a Bachelor’s degree?, * 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., * 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.