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Solutions Agent Jobs (NOW HIRING)

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 ...

Care Solutions Agent At orsa credit union, we believe in more than just banking, we believe in people. We are looking to build a community of forward-thinking team members who share our values ...

Document technical solutions, agent architecture patterns, and best practices for reusable deployment * Test and validate the accuracy and performance of automation and AI-driven outputs What We're ...

The care solutions agent serves as a trusted point of connection when members reach out for support. This role handles high‑volume inbound interactions, resolving everyday needs with clarity ...

Document technical solutions, agent architecture patterns, and best practices for reusable deployment * Test and validate the accuracy and performance of automation and AI-driven outputs What We're ...

Experience designing and building agent desktop solutions that enhance the user experience for contact center agents, ensuring high productivity and effective case management * Excellent verbal and ...

Senior Product Manager - AI Foundry Team

New York, NY · On-site

$138K - $182K/yr

Present clear recommendations with explicit tradeoffs and a bias toward shippable solutions. * Agent, Workflow & Application Development - Gather high-value use cases from consulting teams and ...

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Solutions Agent information

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$14

$30

$39

How much do solutions agent jobs pay per hour?

As of Jun 17, 2026, the average hourly pay for solutions agent in the United States is $30.15, according to ZipRecruiter salary data. Most workers in this role earn between $23.56 and $39.66 per hour, depending on experience, location, and employer.

How much do Working Solutions jobs pay?

Solutions Agent positions at Working Solutions typically pay between $12 and $20 per hour, depending on experience, performance, and the specific client account. Compensation may also include performance bonuses and incentives, with flexible schedules often available for remote work.

What are the key skills and qualifications needed to thrive as a Solutions Agent, and why are they important?

To thrive as a Solutions Agent, you need strong problem-solving abilities, customer service expertise, and a solid understanding of the products or services offered, often supported by a relevant degree or experience. Familiarity with customer relationship management (CRM) software, ticketing systems, and basic troubleshooting tools is typically required. Excellent communication, patience, and resilience are vital soft skills for effectively addressing customer concerns and building rapport. These skills ensure that customer issues are resolved efficiently, leading to higher satisfaction and loyalty.

Is CSR a good entry level position?

A Customer Service Representative (CSR) role is often considered a good entry-level position because it requires minimal prior experience and helps develop communication, problem-solving, and customer management skills. It can serve as a stepping stone to other roles in sales, support, or management within a company. However, the job may involve repetitive tasks and high customer interaction, which some may find challenging.

What are Solutions Agents?

Solutions Agents are professionals who assist customers or clients in resolving issues, answering inquiries, and providing tailored solutions related to a company’s products or services. They often serve as the first point of contact in customer support environments, utilizing their knowledge to troubleshoot problems and ensure customer satisfaction. Solutions Agents may work in various industries, including technology, retail, and telecommunications, adapting their approach to meet specific client needs. Their role is crucial for maintaining positive customer relationships and improving overall service quality.

How does a Solutions Agent typically collaborate with other departments to resolve customer issues?

Solutions Agents frequently work cross-functionally with teams such as technical support, product management, and sales to address customer concerns efficiently. They act as a central point of contact, gathering information from the customer and coordinating with internal experts to provide accurate solutions. This collaborative approach ensures that customer issues are resolved promptly and that feedback is communicated back to relevant departments for continuous improvement.

What is the difference between Solutions Agent vs Customer Support Specialist?

AspectSolutions AgentCustomer Support Specialist
Required CredentialsTypically requires technical certifications or product knowledgeGenerally requires customer service experience and communication skills
Work EnvironmentOften in technical or sales settings, interacting directly with clients to resolve issuesPrimarily in call centers or support desks, handling customer inquiries
Employer & Industry UsageUsed in tech, software, and service industries focusing on solutions deliveryCommon across retail, telecom, and service industries for customer assistance

The main difference between a Solutions Agent and a Customer Support Specialist lies in their focus and skill set. Solutions Agents typically handle technical or product-specific issues, requiring certifications and technical knowledge, while Customer Support Specialists focus on general customer service and communication skills. Both roles are vital in customer-facing industries but serve different functions based on technical complexity and support scope.

How can I make 2000 a week working from home?

Solutions agents working from home can increase earnings by handling high-volume customer support, technical assistance, or sales roles that pay per task or commission. Earning $2000 weekly typically requires consistent full-time hours, strong communication skills, and experience with relevant tools like CRM software. Building a reputation for reliability and efficiency can also lead to higher pay or bonuses.

What job makes $10,000 a month without a degree?

Solutions agents or similar customer support roles can sometimes earn $10,000 a month through commissions, bonuses, or high-volume sales, especially in industries like technology or finance. Success often depends on experience, skills, and performance rather than formal education, and roles may require strong communication, problem-solving, and technical knowledge.
More about Solutions Agent jobs
Infographic showing various Solutions Agent job openings in the United States as of June 2026, with employment types broken down into 3% As Needed, 52% Full Time, 29% Part Time, and 16% Contract. Highlights an 94% Physical, 1% Hybrid, and 5% Remote job distribution, with an average salary of $62,702 per year, or $30.1 per hour.
AI Solutions - Agent Engineer

$109K - $175K/yr

Full-time

Posted 27 days ago


Marco Technologies rating

7.3

Company rating: 7.3 out of 10

Based on 21 frontline employees who took The Breakroom Quiz

104th of 204 rated it services


Job 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 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 page at www.marconet.com/careers.
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

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