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About This Role
Join us in bringing joy to customer experience. Five9 is a leading provider of cloud contact center software, bringing the power of cloud innovation to customers worldwide.
Living our values everyday results in our team\-first culture and enables us to innovate, grow, and thrive while enjoying the journey together. We celebrate diversity and foster an inclusive environment, empowering our employees to be their authentic selves.
Five9 is looking for a Solution Consultant to drive solution discovery and design of Five9's AI Agents Solutions. This includes collaborating on sales proposals, providing pre\-sales support to both direct and indirect sellers, solution demonstration, and making best practice recommendations which enable our customers to get optimal results from their contact center.
Your relevant experience is a critical factor considered, but it is not, by itself, a deciding factor for applying candidates. Candidates should possess a high level of professionalism, persistence, focus, and ability to execute while consulting our prospects and customers.
Key Responsibilities:
- Partner with direct and indirect sales teams to acquire new Five9 customers and increase Five9 footprint within the install base
- Drive and engage prospect facing solution discovery, with a focus on integrating Five9 technology into an organization's existing infrastructure
- Translate customer business needs/outcomes to technical solutions
- Provide subject matter expertise to Five9 Sales Directors and Solution Consultants
- Educate, enable, and empower Five9 direct and indirect sellers
- Deliver customized solution demonstrations \& presentations
- Remain up to date on the latest technologies with respect to all things Contact Center and CX AI
- Answer prospect/customer\-initiated Requests for Proposal (RFP) and Requests for Information (RFI)
- Effectively communicate opportunity engagement plans, progress, and status to both internal and customer organizations
- Continually seek out opportunities to increase customer satisfaction and deepen client relationships by interacting effectively at all levels of the client organization
- Develop materials in\-line with specific sales and/or services opportunity requirements
- Work with Professional Services to align on configuration of products for customers and ensure a seamless pre to post sales transition
- Identify and initiate opportunities for continual team process improvement while working with cross team internal stakeholders
- Work with Marketing and Product Managers to define new products \& initiatives and provide insight from the field back to these groups
- Must be able to travel nationally on short notice, up to 60% at times, providing on\-site consulting work to clients in addition to working remotely from your home office
Key Qualifications:
- Years of experience – 5\+ Years
- Business acumen, with an engineering mindset
- Contact Center/Customer Experience industry experience a plus
- Outstanding verbal, written and presentation skills with the ability to foster effective customer relationships
- Technical knowledge of systems integration (APIs, SOAP, REST, etc.)
- Technical knowledge of, and experience with, Voice and Digital AI products like AI Agents, Chatbots, and Interactive Voice Assistants (IVA)
- Enterprise architecture design
- Education \- Bachelor's or Equivalent Experience Preferred
- Extensive on\-site and web\-based Executive level presentation experience and associated skills
- Proven record of successful solution selling
- High degree of self\-motivation
Key Qualifications:
- CX Industry Application of:
+ Agentic AI Architecture and Industry Trends
+ Generative AI
+ Prompt Engineering
+ Machine Learning
+ LLMs
+ CCaaS
+ UCaaS
+ Automated Quality Management
+ Contact Center Operations
+ Contact Center Reporting
+ Knowledge Management
+ Workflow Automation
Five9 embraces diversity and is committed to building a team that represents a variety of backgrounds, perspectives, and skills. The more inclusive we are, the better we are. Five9 is an equal opportunity employer.
View our privacy policy, including our privacy notice to California residents here: https://www.five9\.com/pt\-pt/legal.
Note: Five9 will never request that an applicant send money as a prerequisite for commencing employment with Five9\.
Salary Context
This $93K-$218K range is in the lower quartile for AI Agent Developer roles in our dataset (median: $212K across 45 roles with salary data).
View full AI Agent Developer salary data →Role Details
About This Role
AI Agent Developers build autonomous systems that can reason, plan, and take actions. They design multi-step workflows, tool-use frameworks, and orchestration layers that let LLMs interact with external systems. This is the frontier of applied AI engineering.
Agent development is where the most interesting (and hardest) problems in applied AI live right now. Making an LLM answer a question is straightforward. Making it reliably execute a 15-step workflow that involves calling APIs, reading databases, making decisions, and recovering from errors is an unsolved problem. You're building systems that have to work despite the fact that the underlying model is non-deterministic.
Across the 3,824 AI roles we're tracking, AI Agent Developer positions make up 1% of the market. At Five9, this role fits into their broader AI and engineering organization.
AI Agent Developer is one of the newest and fastest-growing AI role categories. The market is early but accelerating as companies move beyond simple chatbots toward AI systems that can take real actions. Compensation is high because the skill set is rare and the business impact is potentially enormous.
What the Work Looks Like
A typical week includes: designing the action space and tool definitions for a new agent use case, debugging why the agent chose the wrong action sequence on a specific input, building evaluation frameworks that test agent reliability across hundreds of scenarios, optimizing the prompt chain for cost and latency, and implementing safety guardrails to prevent the agent from taking destructive actions. The work is equal parts engineering and empirical science.
AI Agent Developer is one of the newest and fastest-growing AI role categories. The market is early but accelerating as companies move beyond simple chatbots toward AI systems that can take real actions. Compensation is high because the skill set is rare and the business impact is potentially enormous.
Skills Required
Deep experience with LLM APIs and agent frameworks (LangChain, CrewAI, AutoGen). Strong understanding of prompt engineering, function calling, and error handling for non-deterministic systems. Python is standard. Experience with orchestration patterns, state management, and workflow engines adds significant value.
The best agent developers think like systems engineers. They design for failure modes, build observability into every step, and understand that agent reliability is the product. Expertise in evaluation methodology for non-deterministic systems is the differentiator. Can you measure whether your agent works 'well enough'? Can you find the edge cases where it breaks?
Look for roles that describe specific agent use cases, mention evaluation methodology, and talk about production deployment. Early-stage companies exploring agents can be exciting, but be prepared for ambiguity. The most valuable roles are at companies that have already shipped a v1 and need to make it reliable.
Compensation Benchmarks
AI Agent Developer roles pay a median of $252,000 based on 90 positions with disclosed compensation. Mid-level AI roles across all categories have a median of $160,000. This role's midpoint ($156K) sits 38% below the category median. Disclosed range: $93K to $218K.
Across all AI roles, the market median is $200,000. Top-quartile compensation starts at $253,000. The 90th percentile reaches $307,500. For comparison, the highest-paying categories include AI Engineering Manager ($293,500) and AI Safety ($274,200). By seniority level: Entry: $97,380; Mid: $160,000; Senior: $227,400; Director: $243,000; VP: $250,000.
Five9 AI Hiring
Five9 has 4 open AI roles right now. They're hiring across AI Agent Developer, AI/ML Engineer. Positions span San Francisco, CA, US, San Ramon, CA, US, Remote, US. Compensation range: $218K - $512K.
Location Context
Across all AI roles, 16% (613 positions) offer remote work, while 3,187 require on-site attendance. Top AI hiring metros: New York (2,448 roles, $210,000 median); San Francisco (1,990 roles, $253,000 median); Los Angeles (1,686 roles, $189,000 median).
Career Path
Common paths into AI Agent Developer roles include Software Engineer, LLM Engineer, Prompt Engineer.
From here, career progression typically leads toward AI Architect, Principal Engineer, Head of AI Engineering.
Build agents. That's the portfolio. Take an open-source agent framework, build something that completes a non-trivial multi-step task, evaluate it rigorously, and document what you learned about reliability, cost, and failure modes. The field is new enough that practical experience counts for more than credentials.
What to Expect in Interviews
Interviews focus on systems thinking and reliability engineering. Expect questions about agent architecture: how you'd design a multi-step workflow with error recovery, how you'd evaluate agent performance, and how you'd prevent agents from taking destructive actions. Coding exercises often involve building a simple agent with tool use and evaluating its behavior across different scenarios. Discussion of safety and guardrails is increasingly common.
When evaluating opportunities: Look for roles that describe specific agent use cases, mention evaluation methodology, and talk about production deployment. Early-stage companies exploring agents can be exciting, but be prepared for ambiguity. The most valuable roles are at companies that have already shipped a v1 and need to make it reliable.
AI Hiring Overview
The AI job market has 3,824 open positions tracked in our dataset. By seniority: 119 entry-level, 1,813 mid-level, 1,472 senior, and 420 leadership roles (Director, VP, C-Level). Remote roles make up 16% of the market (613 positions). The remaining 3,187 roles require on-site or hybrid attendance.
The market median for AI roles is $200,000. Top-quartile compensation starts at $253,000. The 90th percentile reaches $307,500. Highest-paying categories: AI Engineering Manager ($293,500 median, 31 roles); AI Safety ($274,200 median, 51 roles); Research Engineer ($260,000 median, 401 roles).
AI Agent Developer is one of the newest and fastest-growing AI role categories. The market is early but accelerating as companies move beyond simple chatbots toward AI systems that can take real actions. Compensation is high because the skill set is rare and the business impact is potentially enormous.
The AI Job Market Today
The AI job market spans 3,824 open positions across 15 role categories. The largest categories by volume: AI/ML Engineer (2,702), Data Scientist (281), AI Software Engineer (258). These three account for the majority of open positions, though smaller categories often have higher per-role compensation because of specialized skill requirements.
The seniority mix tells a story about where AI teams are in their maturity. Entry-level roles (119) are outnumbered by mid-level (1,813) and senior (1,472) positions, reflecting that most companies are past the 'build a team from scratch' phase and need experienced engineers who can ship production systems. Leadership roles (Director, VP, C-Level) total 420 positions, representing the bottleneck between technical execution and organizational strategy.
Remote work availability sits at 16% of all AI roles (613 positions), with 3,187 requiring on-site or hybrid attendance. The remote share has stabilized after the post-pandemic correction. Senior and specialized roles (Research Scientist, ML Architect) are more likely to be remote-eligible than entry-level positions, partly because experienced hires have more negotiating power and partly because these roles require less hands-on mentorship.
AI compensation is structured in clear tiers. The market median sits at $200,000. Top-quartile roles start at $253,000, and the 90th percentile reaches $307,500. These figures include base salary with disclosed compensation. Total compensation (including equity, bonuses, and sign-on) runs 20-40% higher at companies that offer those components.
Category matters for compensation. AI Engineering Manager roles lead at $293,500 median, while Prompt Engineer roles sit at $142,800. The spread between highest and lowest-paying categories reflects the premium on specialized technical skills versus broader analytical roles.
The most in-demand skills across all AI postings: Python (1,968 postings), Aws (1,203 postings), Azure (882 postings), Rag (877 postings), Gcp (735 postings), Prompt Engineering (587 postings), Pytorch (586 postings), Claude (554 postings). Python dominates, appearing in the vast majority of role descriptions regardless of category. Cloud platform experience (AWS, GCP, Azure) is the second most common requirement. The newer entrants to the top skills list (RAG, vector databases, LLM APIs) reflect the shift from traditional ML toward generative AI applications.
Frequently Asked Questions
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