Interested in this AI Agent Developer role at Dayforce?
Apply Now →About This Role
Dayforce is a global human capital management (HCM) company headquartered in Toronto, Ontario, and Minneapolis, Minnesota, with operations across North America, Europe, Middle East, Africa (EMEA), and the Asia Pacific Japan (APJ) region.
Our award\-winning Cloud HCM platform offers a unified solution database and continuous calculation engine, driving efficiency, productivity and compliance for the global workforce.
Our brand promise \- Makes Work Life Better™ \- Reflects our commitment to employees, customers, partners and communities globally.
About the Opportunity
Join a team at the forefront of transforming Human Capital Management through Artificial Intelligence. As a Technical Product Manager, AI Agent Platform, you will shape the platform capabilities that make it faster, safer, and easier for Dayforce teams to build intelligent agent experiences. You will work with large language models (LLMs), MCP tools, agent orchestration, APIs, evaluation frameworks, and emerging AI technologies to solve enterprise\-scale challenges impacting millions of end users and thousands of customers. This is a hands\-on product leadership role where you will partner closely with Engineering, Design, and Product teams to transform ambiguous AI opportunities into scalable, user\-centered platform capabilities. To support collaboration with globally distributed teams, this role requires working hours aligned with Pacific Time.
What You’ll Get to Do
- Lead the product strategy and roadmap for AI Agent Platform capabilities that accelerate AI\-powered product development across Dayforce.
- Partner closely with engineers, designers, architects, and feature product managers to deliver scalable and intuitive platform experiences.
- Define and evolve capabilities for LLM\-powered agents, MCP tools, agent orchestration, API interoperability, governance, observability, safety, and reliability.
- Solve enterprise\-scale platform challenges while balancing innovation, security, compliance, performance, and customer trust.
- Gather feedback from customers, users, developers, and internal teams to identify platform needs and continuously improve experiences.
- Prototype, test, and validate new concepts through lightweight experimentation, workflows, APIs, and AI\-assisted development tools.
- Present recommendations, demos, and product insights to stakeholders and leadership teams.
- Support Dayforce AI Agent interoperability initiatives by enabling platform patterns, APIs, and integrations that facilitate agent\-based capabilities.
- Drive prioritization decisions based on customer value, technical feasibility, and strategic objectives.
- Collaborate across Product, Engineering, Security, Data Science, Legal, and Go\-to\-Market teams to ensure successful delivery.
Skills and Experience We Value
- Proven product management experience within SaaS or enterprise software environments.
- Experience managing platform products, APIs, developer tooling, or AI\-related solutions.
- Experience working with AI Agents, LLMs, MCP, agent orchestration frameworks, AI evaluation methods, or similar technologies.
- Experience with HCM domains and workflows, or experience building AI platforms within enterprise SaaS organizations.
- Ability to manage highly technical products while maintaining strong customer and user focus.
- Hands\-on approach with experience prototyping, testing APIs, leveraging AI\-assisted development tools, and writing technical specifications.
- Strong collaboration skills across engineering, design, security, legal, data science, and commercial teams.
- Ability to translate complex technical concepts into clear customer value and actionable product requirements.
- Experience working in Agile product development environments.
- Strong communication, prioritization, and stakeholder management skills.
What Would Make You Stand Out
- Experience building AI platforms, agent frameworks, SDKs, internal developer platforms, or shared services used by multiple product teams.
- Deep understanding of HCM domains such as recruiting, payroll, workforce management, benefits, talent management, or employee experience.
- Proven ability to lead engineering and design teams through ambiguity and rapid innovation cycles.
- Experience working with APIs, security frameworks, identity and access management, permissions, privacy controls, and enterprise governance models.
- Demonstrated success delivering highly scalable platform products in enterprise environments.
What’s in it for you
Dayforce is fueled by the diversity of our talented employees. We are an equal opportunity employer and consider and embrace ALL individuals and what makes them unique. We believe our employees should be happy and healthy, with peace of mind and a sense of fulfillment.
We encourage individuals to apply based on their passions.
Dayforce employees and their families are eligible to participate in the following benefits programs: medical, dental, vison, and life insurance. Dayforce employees are also eligible to participate in a 401k plan (plus match) and a Global Employee Stock Purchase Plan. Employees also receive unlimited Time Away From Work (in lieu of accrued vacation time), 10 paid US holidays, up to 80 hours of paid sick time and 17 weeks of paid parental leave, subject to the terms of the applicable policy or program.
With a commitment to community impact, including volunteer days and our charity, Dayforce Cares we provide opportunities for you to thrive both in your career and personal life. Our focus is not just on your job but on supporting you to be the best version of yourself.
About the Salary Ranges
Please note that the salary range mentioned in this job description should serve simply as a guide. The final compensation offered may vary based on a variety of factors, including bonuses and/or incentives, or a candidate’s experience, skills, budget and location. Our company is committed to providing a fair, equitable, and competitive package that reflects the value an individual brings to the organization.
Fraudulent Recruiting
Beware of fraudulent recruiting. Legitimate Dayforce contacts will use an @dayforce.com email address. We do not request money, checks, equipment orders, or sensitive personal data during the recruitment process. If you have been asked for any of the above, or believe you have been contacted by someone posing as a Dayforce employee, please refer to our fraudulent recruiting statement found here: https://www.dayforce.com/be\-aware\-of\-recruiting\-fraud
Dayforce actively monitors all job applications to ensure authenticity. Submissions determined to be fraudulent or misleading will be declined from the recruitment process
\#LI\-Remote
Salary Context
This $108K-$169K range is in the lower quartile for AI Agent Developer roles in our dataset (median: $190K across 44 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 4,133 AI roles we're tracking, AI Agent Developer positions make up 1% of the market. At Dayforce, 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 in Demand for This Role
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 $241,950 based on 112 positions with disclosed compensation. Mid-level AI roles across all categories have a median of $165,778. This role's midpoint ($139K) sits 42% below the category median. Disclosed range: $108K to $169K.
Across all AI roles, the market median is $200,700. Top-quartile compensation starts at $254,000. The 90th percentile reaches $307,500. For comparison, the highest-paying categories include AI Safety ($274,200) and AI Engineering Manager ($268,700). By seniority level: Entry: $97,760; Mid: $165,778; Senior: $227,400; Director: $250,000; VP: $250,000.
Dayforce AI Hiring
Dayforce has 2 open AI roles right now. They're hiring across AI Agent Developer, AI/ML Engineer. Based in US. Compensation range: $169K - $169K.
Location Context
AI roles in Austin pay a median of $215,300 across 535 tracked positions. That's 7% above the national 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 4,133 open positions tracked in our dataset. By seniority: 106 entry-level, 1,901 mid-level, 1,663 senior, and 463 leadership roles (Director, VP, C-Level). Remote roles make up 14% of the market (583 positions). The remaining 3,532 roles require on-site or hybrid attendance.
The market median for AI roles is $200,700. Top-quartile compensation starts at $254,000. The 90th percentile reaches $307,500. Highest-paying categories: AI Safety ($274,200 median, 57 roles); AI Engineering Manager ($268,700 median, 42 roles); Research Engineer ($260,000 median, 442 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 4,133 open positions across 15 role categories. The largest categories by volume: AI/ML Engineer (2,865), Data Scientist (339), AI Software Engineer (313). 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 (106) are outnumbered by mid-level (1,901) and senior (1,663) 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 463 positions, representing the bottleneck between technical execution and organizational strategy.
Remote work availability sits at 14% of all AI roles (583 positions), with 3,532 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 $200,700. Top-quartile roles start at $254,000, 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 Safety roles lead at $274,200 median, while Prompt Engineer roles sit at $140,000. 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 (2,128 postings), Aws (1,324 postings), Azure (1,003 postings), Rag (916 postings), Gcp (817 postings), Pytorch (655 postings), Prompt Engineering (639 postings), Claude (571 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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