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Solutions Agent Jobs (NOW HIRING)

CrewAI

Solutions Engineer

You will partner with Sales to demonstrate the transformative potential of CrewAI's multi-agent platform, translate complex prospect requirements into compelling solution architectures, and drive ...

Diverse Lynx

Agentic Solutions Architect

Atlanta, GA · On-site

$60.50 - $79.75/hr

Role - Agentic Solutions Architect Location - Atlanta, GA (Onsite) Exp need - 10+ years AI Agents ... Experience with emerging agent interoperability/context patterns (e.g., MCP) or advanced context ...

LangChain

Solutions Architect (NYC)

Manhattan, NY · On-site

$170K - $190K/yr

Solutions Architect We're looking for a Solutions Architect to join our Professional Services team ... Agent Engineering & Development: Design multi-agent systems using different patterns, implement ...

Alfa Insurance Agent

Insurance Agent

Water Valley, MS · On-site

$303.60K/yr

Provide personalized insurance solutions to clients. * Oversee daily operations, including sales ... Average Agent Revenue - $303,600. Top 10% Average Agent Revenue - $600,986. * Access to Alfa ...

New

Nava Software Solutions

AI Solutions Architect

Englewood, CO · On-site

$62.50 - $82.50/hr

AI Solutions Architect Location: Denver CO, Onsite Duration: 12 months Role Summary Looking for a ... Help design agent assistance experiences (e.g., recommended actions, offers, and real time coaching ...

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How much do solutions agent jobs pay per hour?

As of May 28, 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.

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.

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 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.

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.

More about Solutions Agent jobs
What job categories do people searching Solutions Agent jobs look for? The top searched job categories for Solutions Agent jobs are:
Solutions Agent jobs near you
Infographic showing various Solutions Agent job openings in the United States as of May 2026, with employment types broken down into 98% Full Time, and 2% Part Time. Highlights an 86% Physical, 1% Hybrid, and 13% Remote job distribution, with an average salary of $62,702 per year, or $30.1 per hour.

Solutions Engineer

CrewAI

Remote

Full-time

Posted 19 days ago

Job description

Pre-Sales • Customer-Facing • Technical
Overview
The Solutions Engineer at CrewAI is a pre-sales technical role that sits at the intersection of AI expertise and business acumen. You will partner with Sales to demonstrate the transformative potential of CrewAI's multi-agent platform, translate complex prospect requirements into compelling solution architectures, and drive technical wins that accelerate deal velocity.
This role is ideal for someone who thrives on the energy of the sales cycle-scoping what's possible, building proof-of-concept demos, and earning the technical trust of engineering leaders at prospective customers.
Key Responsibilities
Technical Discovery & Solution Design
  • Lead technical discovery calls to deeply understand prospects' business objectives, data landscapes, and existing technology stacks.
  • Translate prospect requirements into solution architectures that showcase CrewAI's multi-agent capabilities, including agent role design, workflow orchestration, and integration points.
  • Develop and present tailored technical proposals, architecture diagrams, and scoping documents that align CrewAI's platform to prospect needs.
Demos, POCs & Technical Validation
  • Build and deliver compelling product demonstrations and proof-of-concept implementations that bring CrewAI's value to life for technical and executive audiences.
  • Scope, manage, and execute time-boxed POC engagements, defining clear success criteria and working hands-on with prospect engineering teams.
  • Develop reusable demo environments, scripts, and reference architectures that accelerate the pre-sales cycle.
Sales Partnership & Deal Support
  • Partner closely with Account Executives throughout the sales cycle-from initial qualification to technical close.
  • Respond to RFPs, RFIs, and security questionnaires with accurate, compelling technical content.
  • Serve as the trusted technical advisor for prospects, handling objections and competitive differentiation conversations with confidence.
  • Provide feedback to Product and Engineering teams based on patterns observed across prospect engagements.
Thought Leadership & Enablement
  • Conduct technical workshops, webinars, and conference presentations that position CrewAI as an industry leader in AI agent orchestration.
  • Create and maintain technical collateral-white papers, integration guides, comparison matrices-that support the sales motion.
  • Stay current on competitive offerings, AI/ML trends, and emerging multi-agent design patterns.

Requirements
Qualifications & Desired Skills
  • 3+ years in a pre-sales or customer-facing technical role (Solutions Engineer, Sales Engineer, Technical Consultant, or similar).
  • Strong proficiency in Python and hands-on experience with APIs, system integrations, and cloud platforms (AWS, Azure, or GCP).
  • Familiarity with AI/ML concepts and technologies, including LLMs, AI agent frameworks, RAG patterns, and prompt engineering.
  • Exceptional communication and presentation skills-comfortable presenting to both deeply technical engineers and C-suite executives.
  • Experience building and delivering product demos and proof-of-concept solutions under time pressure.
  • Knowledge of workflow orchestration, multi-agent systems, or distributed computing is a strong plus.
  • Bachelor's degree in Computer Science, Engineering, or a related technical field preferred.
  • Contributions to open-source AI agent projects or experience with GenAI solution design patterns is a significant bonus.
Team Collaboration
You will work closely with Sales, Product, Engineering, and Marketing to shape the go-to-market technical narrative. You'll provide structured prospect feedback that influences the product roadmap and collaborate with the post-sales deployment team to ensure smooth handoffs for won deals.
Performance Metrics
  • Technical win rate on qualified opportunities.
  • POC-to-close conversion rate and time-to-technical-decision.
  • Quality and reusability of demo assets, technical proposals, and sales collateral.
  • Pipeline influence and contribution to deal velocity.
  • Prospect and Sales team satisfaction with technical engagement quality.

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