AI & Automation Delivery Engineer

Wellabe

AI & Automation Delivery Engineer at Wellabe, building practical AI and automation solutions. Collaborating with teams to deliver secure and scalable solutions aligned with enterprise standards.

Posted 6/27/2026full-timeDes Moines • Iowa • 🇺🇸 United StatesMid-LevelSeniorWebsite

Tech Stack

Tools & technologies

RPA

About the role

Key responsibilities & impact

Wellabe is hiring an AI & Automation Delivery Engineer to join our team.
This role supports the AI & Automation Center of Excellence by building practical AI and automation solutions, prototypes, pilots, reusable components, and technical accelerators.
This role works with business, technology, architecture, data, security, governance, and process improvement partners to deliver solutions that are secure, supportable, measurable, and aligned with enterprise standards.
The role focuses on delivering immediate value while enabling distributed teams to reuse approved patterns and scale AI and automation responsibly.
Build AI and Automation Solutions, Build, configure, test, and refine AI and automation solutions using approved platforms, patterns, workflows, agents, prompts, connectors, integrations, and reusable components.
Develop prototypes, pilots, proofs of value, and early production implementations with the AI & Automation Solution Architect, ensuring solutions are usable, secure, scalable, supportable, and aligned with approved designs.
Build lighthouse solutions and working examples that demonstrate practical AI and automation use cases and can be showcased, reused, replicated, or extended across the enterprise.
Validate feasibility, user experience, integration needs, data dependencies, platform fit, risks, and production readiness through rapid experimentation, documentation, and lessons learned.
Develop reusable automation patterns, workflow templates, prompt examples, connectors, scripts, configuration guides, sample solutions, and technical accelerators.
Partner with business teams, process improvement teams, and product owners to define use case goals, workflow impacts, user needs, success criteria, requirements, technical gaps, and practical implementation plans.
Support implementation from intake through design, build, testing, deployment readiness, adoption, measurement, scale, and production handoff.
Track progress, risks, dependencies, reusable assets, implemented automations, lessons learned, benefits realized, adoption, usage, efficiency gains, quality improvements, and other business outcomes.

Requirements

What you’ll need

3+ years of experience in application development, automation, workflow configuration, systems integration, low-code/no-code development, digital transformation, or related technology delivery required.
Experience building or configuring business applications, workflow automations, integrations, scripts, dashboards, forms, approval processes, or productivity solutions required.
Familiarity with AI, generative AI, automation, low-code/no-code tools, RPA, workflow platforms, APIs, data services, testing, documentation, deployment readiness, supportability, security-by-design, and operational handoff.
Familiarity with responsible AI, prompt engineering, retrieval-augmented generation, document intelligence, process mining, workflow orchestration, data privacy, security controls, auditability, monitoring, and production support concepts.
Skill at hands on delivery and the ability to build practical AI and automation solutions that demonstrate measurable business value.
Problem solving skills and the ability to troubleshoot implementation challenges and identify practical paths forward.
Automation mindset and the ability to identify opportunities to reduce manual work, improve speed, reduce errors, and increase consistency through automation.
Knowledge of reuse, scalability, supportability, and maintainability principles when building AI and automation solutions.
Ability to convert business needs and solution designs into practical working capabilities.
Knowledge of security, privacy, risk, governance, and responsible AI expectations during solution build and deployment.
Ability to move work from idea to prototype, pilot, and production readiness with appropriate delivery discipline.
Strong collaboration skills to effectively partner with business, technology, architecture, data, security, risk, compliance, and operations teams.
Strong continuous improvement skills and ability to use feedback, lessons learned, and usage data to improve solutions, reusable assets, and delivery practices.

Benefits

Comp & perks

Hybrid availability
401(k) with company match
Health insurance
Paid time off, holidays
Volunteer time off
Lifestyle Spending Account (LSA)
Paternity leave
Growth opportunities
LinkedIn Learning Premium access
CliftonStrengths® assessment and coaching
On-site and virtual workshops and cohorts featuring world-class content from FranklinCovey, Crucial Learning, Gallup, and more
Free world-class insurance acumen courses through AHIP and LOMA
Reimbursement and bonus opportunities for professional designations and certifications, including a tuition reimbursement program
Opportunities to take part in Wellabe's mentorship programs

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills & Tools

application developmentautomationworkflow configurationsystems integrationlow-code developmentno-code developmentdigital transformationRPAAPIsprompt engineering

Soft Skills

problem solvingcollaborationcontinuous improvementautomation mindsetability to troubleshootability to convert business needsability to build practical solutionsability to track progressability to identify opportunitiesability to partner effectively