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$130k–$214k/yr
Full-time
Performance-based Bonus Plan, Restricted Stock Unit Awards
Posted 21d ago
~40 hrs/week
Responsibilities
Lead technical discovery and hands-on engineering to build production-grade AI-enabled workflows and integrations for strategic customers. Bridge the gap between ambiguous business problems and reusable platform capabilities while guiding other engineers.
Requirements
Requires 7+ years of experience in software engineering, cloud applications, or AI products with a strong background in API and system design. Must demonstrate the ability to lead technical direction in ambiguous environments and communicate tradeoffs to stakeholders.
Full job description
Why UKG:
At UKG, the work you do matters. The code you ship, the decisions you make, and the care you show a customer all add up to real impact. Today, tens of millions of workers start and end their days with our workforce operating platform. Helping people get paid, grow in their careers, and shape the future of their industries. That’s what we do.
We never stop learning. We never stop challenging the norm. We push for better, and we celebrate the wins along the way. Here, you’ll get flexibility that’s real, benefits you can count on, and a team that succeeds together. Because at UKG, your work matters—and so do you.
Staff Forward Deployed Engineer
About the Team
UKG's Forward Deployed Engineering (FDE) practice is a small, elite team that embeds directly with our most strategic customers to solve high-value problems that sit just beyond the current product boundary. We deploy in small pods, move fast, learn the customer's world, and build things that work in production.
The strongest FDEs combine technical depth with curiosity, creativity, perseverance, and customer empathy. They are comfortable with ambiguity because they are motivated by discovery: learning unfamiliar domains, finding the real problem, building the first working version, and turning what works into reusable capabilities for the broader platform.
We are inspired by the best forward-deployed and outcome-delivery organizations in enterprise technology. Our operating model is simple: get close to the customer, define the outcome precisely, build something real, and use what we learn in the field to shape the future of the product.
The Role
As a Staff Forward Deployed Engineer, you will lead technical discovery, solution design, and hands-on engineering for strategic customer engagements. You will sit at the intersection of customer needs, product possibility, and production software: turning ambiguous business problems into prototypes, architectures, integrations, and AI-enabled workflows that create measurable customer impact.
At this level, you will typically own the technical direction for an engagement or major solution area, guide other FDEs, and shape reusable patterns for the broader practice. You are close to the customer and close to the code. You are expected to build, communicate, unblock, and raise the quality of the solution around you.
Enterprise HCM, Payroll, or Workforce Management experience is helpful, but it is not the gatekeeper. We are looking for strong engineers who love learning unfamiliar domains, designing novel solutions, and pushing through ambiguity until something works in the real world.
What You Will Do
Own Technical Discovery and Invention
Partner directly with customer stakeholders to understand workflows, pain points, data, systems, constraints, and opportunities for innovation.
Ask sharp questions that reveal the real problem, not just the requested feature or implementation path.
Translate ambiguous customer needs into hypotheses, prototypes, technical designs, implementation plans, and operational runbooks.
Explore unfamiliar technologies, customer domains, and AI capabilities with curiosity, speed, and sound engineering judgment.
Identify when a field-built solution should become a reusable platform capability or reference pattern.
Build and Ship Production Solutions
Design and build production-grade APIs, integrations, workflow automations, data pipelines, internal tools, and customer-facing technical solutions.
Rapidly prototype ideas, test assumptions with customers, and mature the best ideas into maintainable production systems.
Integrate UKG with HCM, Payroll, Workforce Management, ERP, IAM, data, and related systems using secure, auditable designs.
Own technical delivery through discovery, design, build, testing, go-live, and early operational handoff.
Make pragmatic tradeoffs across speed, quality, scalability, security, maintainability, and customer impact.
Lead the Engineering Pod
Set technical direction for an FDE engagement or major solution area and keep engineering work focused on the customer outcome.
Guide other FDEs through architecture reviews, pairing, code reviews, technical planning, and high-judgment customer moments.
Collaborate closely with the engagement PM, customer teams, Product, Engineering, Support, and Security to surface risks, dependencies, and decisions early.
Communicate technical tradeoffs clearly to engineers, product leaders, executives, and customer stakeholders.
Navigate difficult delivery moments with creativity, perseverance, and a bias toward making progress.
Shape Product and Practice
Contribute reusable components, templates, examples, reference architectures, demos, and implementation notes that accelerate future engagements.
Provide clear feedback to Product and Engineering on platform gaps, repeatable customer needs, and opportunities to productize field-built solutions.
Help develop the FDE playbook: better discovery methods, solution patterns, demo assets, tooling, and engineering practices.
Identify expansion signals and help define the next high-value problems the team should solve for the customer.
AI-Enabled Workflow Responsibilities
Identify practical, high-impact uses of AI within existing enterprise workflows.
Prototype and deploy AI-assisted patterns such as intelligent intake, summarization, recommendations, routing, data extraction, and human-in-the-loop review.
Design for security, privacy, compliance, explainability, evaluation, monitoring, and operational control from the start.
Apply sound judgment around model limitations, sensitive data, access controls, failure modes, and responsible use of AI.
Turn successful AI patterns into reusable implementation guidance for the broader FDE library.
What Makes You Successful
Successful Staff FDEs combine strong engineering judgment with a builder's mindset and deep customer empathy. The following traits matter as much as specific domain experience:
Curiosity: You genuinely enjoy learning new technologies, customer domains, workflows, and AI capabilities.
Creativity: You look for novel, elegant ways to solve problems when there is no established playbook.
Perseverance: You stay resilient through ambiguity, iteration, technical blockers, and changing customer needs.
Technical judgment: You know when to prototype quickly, when to harden a system, and when to simplify the design.
Builder's mindset: You prefer making things real - prototypes, code, demos, tools, and production systems.
Customer empathy: You listen carefully, ask strong questions, and connect technical choices to business outcomes.
Systems thinking: You understand how people, process, data, and technology interact in real-world environments.
Leadership: You raise the quality of the team through clarity, mentorship, practical standards, and calm execution.
What You Will Bring
Typically 7+ years of experience building software, developer platforms, cloud applications, AI-enabled products, technical solutions, or production integrations.
Strong software engineering fundamentals across APIs, cloud services, data flows, testing, deployment, monitoring, debugging, and operational support.
Experience designing and deploying production systems or customer-facing technical solutions in ambiguous environments.
Demonstrated ability to lead technical direction for a workstream, engagement, or complex solution area.
Strong communication skills with the ability to explain tradeoffs clearly to technical teams, executives, and customer stakeholders.
Comfort learning unfamiliar domains quickly and turning incomplete information into practical technical plans.
Familiarity with modern cloud platforms such as AWS, Azure, or GCP.
Hands-on familiarity with AI-enabled tools, LLMs, copilots, workflow automation, or agentic patterns.
Sound judgment around security, privacy, compliance, reliability, and responsible use of AI.
Preferred, Not Required
Enterprise software experience is a differentiator, not a gatekeeper. Exceptional engineers from startup, SaaS, platform, developer tools, AI product, consulting, or modern enterprise software backgrounds are encouraged to apply.
Experience with HCM, Payroll, Workforce Management, ERP, IAM, SSO, or integration-heavy environments.
Experience with REST APIs, event-driven systems, ETL/ELT, data pipelines, workflow orchestration, or identity integrations.
Experience with AI agent patterns such as tools, orchestration, retrieval, evaluation, and human-in-the-loop controls.
Prior experience in a forward-deployed, solutions architecture, sales engineering, consulting engineering, or customer-facing product engineering role.
Experience turning field-built solutions into reusable product, platform, or reference architecture capabilities.
What Success Looks Like
Customers reach meaningful value faster because you translated ambiguity into working software.
High-impact prototypes become stable, secure, maintainable production solutions.
Customer stakeholders and internal teams trust the technical approach and understand key tradeoffs.
Reusable assets, patterns, and technical lessons are adopted across the FDE practice and broader engineering organization.
Product and Engineering receive clear, actionable feedback from the field.
Other FDEs are more effective because of your technical leadership, mentoring, and example.
Apply if you want one of the rare engineering roles where you get to learn directly from customers, invent new AI-powered workflows, build production software, and help define a new practice from the ground up. This role is for engineers who love solving hard problems, not just writing code.
Company Overview:
UKG is the Workforce Operating Platform that puts workforce understanding to work. With the world's largest collection of workforce insights, and people-first AI, our ability to reveal unseen ways to build trust, amplify productivity, and empower talent, is unmatched. It's this expertise that equips our customers with the intelligence to solve any challenge in any industry — because great organizations know their workforce is their competitive edge. Learn more at ukg.com.
Equal Opportunity Employer
UKG is an equal opportunity employer. We evaluate qualified applicants without regard to race, color, disability, religion, sex, age, national origin, veteran status, genetic information, and other legally protected categories.
UKG participates in E-Verify. View the E-Verify posters here.
It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability.
Disability Accommodation in the Application and Interview Process
For individuals with disabilities that need additional assistance at any point in the application and interview process, please email [email protected].
The pay range for this position is $129,500 to $214,015. The actual base pay offered may vary depending on skills, experience, job-related knowledge and work location. In addition to base pay, employees may be eligible to participate in a performance-based bonus plan and to receive restricted stock unit awards as part of total compensation. Learn more about UKG’s benefits and rewards at https://www.ukg.com/about-us/careers/benefits
UKG is the AI-first Workforce Operating Platform with unified HR, payroll, and workforce management.
Industry
Software Development
Company size
10,001+ employees
LinkedIn followers
329,238
UKG is the Workforce Operating Platform with unified HR, payroll, and workforce management, built to solve the unique challenges of frontline work. Powered by people-first AI and decades of labor data, UKG turns workforce intelligence into real-time decisions around staffing, pay, compliance, and productivity, enabling every worker to confidently take action as work happens.
Human Resources SoftwareWorkforce Management SoftwareHuman Capital Management SoftwareTime and Payroll SoftwareAI for HRand Workforce TrendsHuman ResourcesInformation TechnologySoftwareCloud Management
Based on 5332 listings with disclosed salaries, most engineering jobs in Washington pay between $100k–$237k per year. Individual offers vary with seniority, company size, and specialization.
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