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Senior Ai Developer Jobs in Kansas (NOW HIRING)

As a Senior Director, you will lead the team that builds and shapes rapid-turn AI solutions across ... Lead a multidisciplinary team across multiple geographies, including engineers, citizen-developer ...

$46.75 - $61.75/hr

Our senior leaders have a vision for Auvik. They are experienced, knowledgeable, approachable, and ... Apply AI-enabled techniques to solve complex engineering problems, using intelligent tooling ...

Sr Software Engineer

Overland Park, KS · On-site

$101K - $169K/yr

This is an intermediate-level developer position responsible for developing and maintaining the ... This is not a role where AI tools are optional or experimental. Our team works end-to-end in a spec ...

The Role We're looking for a Senior Full-Stack Software Engineer with deep expertise in Next.js, TypeScript, PostgreSQL/Supabase, and AI-assisted development to design, build, and deliver the ...

The Virtual Design & Data Solutions (VDDS) Senior Civil Engineering Technician serves in a lead ... AI/ML (Agentic AI Solutions, GenAI/LLMs, Natural Language Processing, Intelligent Processing ...

Functions as a senior engineering technician, technical design specialist, and/or supervisor ... AI/ML (Agentic AI Solutions, GenAI/LLMs, Natural Language Processing, Intelligent Processing ...

Senior Director, Data Engineering

Newton, KS · On-site

$93K - $126K/yr

This role drives the design and implementation of modern, AI-native data infrastructure that powers ... A passion for data quality, systems design, and developer experience, coupled with curiosity about ...

Sr. Engineering Manager (AI-Native) United States or Canada Engineering Full-time Overview We are ... Hands-on experience with AI-powered developer tools and workflows (e.g., Cursor, Claude, Codex, or ...

Functions as a senior engineering technician, technical design specialist, and/or supervisor ... AI/ML (Agentic AI Solutions, GenAI/LLMs, Natural Language Processing, Intelligent Processing ...

Showing results 21-40

Senior Ai Developer information

What is the difference between Senior Ai Developer vs Machine Learning Engineer?

AspectSenior Ai DeveloperMachine Learning Engineer
Required CredentialsBachelor's or Master's in CS, AI, or related fields; experience with AI frameworksBachelor's or Master's in CS, Data Science, or related fields; strong programming skills
Work EnvironmentDevelops AI models, algorithms, and applications; collaborates with data scientists and engineersDesigns, builds, and deploys machine learning models; often works in data-heavy environments
Employer & Industry UsageTech companies, research labs, AI-focused firmsTech companies, startups, data-driven industries

While both roles involve working with AI and machine learning, Senior Ai Developers focus more on creating and optimizing AI systems, whereas Machine Learning Engineers specialize in building scalable ML models and pipelines. The roles often overlap, but the Senior Ai Developer emphasizes AI application development, and the Machine Learning Engineer emphasizes deployment and data handling.

What are the key skills and qualifications needed to thrive as a senior AI developer?

To thrive as a Senior AI Developer, you need advanced skills in machine learning, deep learning, programming (Python, R, or Java), and a strong background in computer science or related fields, often supported by a bachelor's or master's degree. Expertise in frameworks like TensorFlow, PyTorch, scikit-learn, and experience with cloud platforms (AWS, Azure, or GCP) and relevant certifications are highly valued. Strong problem-solving, leadership, and effective communication skills help in collaborating across teams and translating complex technical concepts into business solutions. These capabilities are crucial for designing robust AI systems, driving innovation, and ensuring successful deployment in real-world applications.

What is a senior AI developer?

Senior AI Developers are experienced professionals who design, build, and implement artificial intelligence systems and solutions. They typically lead AI projects, mentor junior team members, and work on complex problems involving machine learning, deep learning, and data analysis. Their responsibilities also include collaborating with stakeholders, optimizing models for performance, and ensuring AI solutions align with business goals. Senior AI Developers usually have advanced knowledge of programming languages, frameworks, and best practices in AI development.

What are some common challenges faced by senior AI developers when deploying models into production environments?

Senior AI Developers often encounter challenges such as ensuring model scalability and reliability, handling data drift, and integrating models with existing production systems. Balancing model performance with computational efficiency is crucial, as is maintaining compliance with data privacy regulations. Close collaboration with DevOps, data engineering, and product teams is essential to address these challenges and deliver robust, maintainable AI solutions.
What are the most commonly searched types of Ai Developer jobs in Kansas? The most popular types of Ai Developer jobs in Kansas are:
What are popular job titles related to Senior Ai Developer jobs in Kansas? For Senior Ai Developer jobs in Kansas, the most frequently searched job titles are:
Infographic showing various Senior Ai Developer job openings in Kansas as of August 2026, with employment types broken down into 100% Full Time. Highlights an 100% In-person job distribution.

Director, Product Software Engineering | Platform Engineering and Architecture

Wolters Kluwer

Wichita, KS • On-site

$226K/yr

Full-time

Medical, Dental, Vision, Retirement, PTO

Re-posted 12 days ago


Wolters Kluwer rating

9.0

Company rating: 9.0 out of 10

Based on 28 frontline employees who took The Breakroom Quiz

33rd of 242 rated software companies


Job description

About the Role:


As a Director in Software Engineering, you will provide comprehensive leadership to senior managers and high-level professionals. You will have primary responsibility for the performance and results within your area, ensuring that all software engineering activities align with business strategies. Your role is crucial for steering the direction of major projects and technological advancements that will drive the company forward.

Job Description:

We are seeking a "full-stack" engineering Director to hire and lead a team that will be responsible for selection provides leadership to > 600 engineers on the use, adoption and automation around infrastructure as code, the operational management of container deployment platforms and the CI/CD and applications required. Additionally, they will be engaged on incidents for triage and resolution along with driving teams to implement automation to address., implement, and continuously improve the developer enablement and infrastructure platform, accelerating product delivery and operational excellence across Kubernetes-based environments. The ideal candidate will understand how to guide the definition, execution, and governance of release processes and platform capabilities; operates with broad latitude and accountability for outcomes aligned to divisional strategy. Work is performed without appreciable direction and is evaluated on execution against defined plans and strategy, with measurable impact on divisional results.

SUPERVISORY RELATIONSHIPS
  • Reports To: VP of Platform Engineering & Architecture
  • Supervises: Senior managers, managers, and high-level professionals across developer enablement, platform engineering, and SRE functions.
ESSENTIAL DUTIES AND RESPONSIBILITIESStrategy & Leadership
  • Provide strategic leadership, vision, and roadmaps for developer enablement and infrastructure engineering in a highly matrixed organization; ensure alignment with business objectives and partner teams.
  • Establish clear objectives, success measures, and investment priorities for the platform, balancing reliability, velocity, cost, and risk.
  • Model inclusive collaboration and effective communication with senior management, peers, and subordinates to drive alignment and execution.
  • Drive adoption of AI Developer Tools to drive speed to market and reduce developer friction.
Developer Enablement Platform Ownership
  • Lead the Developer Enablement team that owns the platform for releasing container-based software to Kubernetes (K8s); define platform SLAs/SLOs, roadmaps, and service catalog.
  • Own Akuity/Argo CD (GitOps) administration and lifecycle; define guardrails, RBAC, multi-cluster promotion strategies, and drift detection/rollback practices.
  • Maintain and evolve Open Application Model (OAM) templates, golden paths, and paved-road workflows to standardize microservice onboarding and runtime config.
  • Govern end-to-end container release processes (policy, controls, approvals, and tooling), including promotion workflows, artifact provenance (SBOM/SLSA), and progressive delivery (blue/green, canary).
  • Integrate and Maintain Developer Enablement metrics reporting into central data lake environments.
  • Infrastructure Development & SRE Team Buildout
  • Staff, train, and mature a new team that becomes the core of infrastructure development and SRE; define role architecture, hiring profiles, onboarding plans, and growth paths.
  • Deliver platform capabilities as products (self-service, APIs, documentation, runbooks), enabling product teams to design, provision, and operate infrastructure consistently.
  • Train and assist engineering teams with infrastructure design and deployment (networking, storage, data, security, observability), while performing hands-on engineering to ensure deployments and operations are fully automated (IaC, GitOps, policy-as-code, CI/CD).
  • Establish site reliability practices-SLO/SLI, error budgets, incident management, post-incident reviews, and capacity/performance engineering-aligned with product objectives.
Governance, Risk, and Compliance
  • Define release governance and change management controls (e.g., segregation of duties, approval workflows, audit trails) integrated into platform tooling, partner with Security, Risk, and Compliance for continuous assurance.
  • Ensure adherence to quality standards and secure-by-design practices across the software supply chain.
JOB QUALIFICATIONSEducation (Required):

Bachelor's Degree in a related field and relevant experience in product software engineering.

Work Experience (Required):
  • Minimum 9+ years of relevant experience in product software engineering or platform/SRE leadership roles.
  • People management experience
  • Experience in Matrixed environments.
  • Knowledge and interest in AI
  • Technical competence in platform engineering and architecture
Preferred Experience & Knowledge (Role-Specific):
  • Platform engineering for Kubernetes at scale (multi-cluster/multi-region), GitOps (Argo CD/Akuity), service meshes, secrets management.
  • Infrastructure-as-Code (Terraform/Pulumi), policy-as-code (OPA/Gatekeeper), progressive delivery (Argo Rollouts/Flagger).
  • CI/CD at enterprise scale (artifact provenance, SBOM/SLSA), container security, and supply chain controls.
  • Observability platforms (metrics, logs, traces, SLOs, alerts) and incident management practices.
  • Coaching product teams; operating in a matrixed enterprise with strong stakeholder management.
SKILLS / COMPETENCIESTechnical/Operational Skills
  • DevOps & Agile delivery; automation and continuous delivery at scale.
  • Cloud computing (Azure/AWS/GCP) and modern application architectures; API-first enablement.
  • Automation & Frameworks for standardized delivery and code manageability across teams.
  • Application Security and secure SDLC; Architectural Patterns for scalable, resilient systems.
  • Financial/Budget Management for platform services and shared-service cost models that includes understanding of how to use technology to drive cost reductions while increasing value delivery. This requires budget, technical and operational competencies.
  • Experience in both use of AI Coding tools personally and in driving adoption of those in developer teams.
Leadership Competencies
  • Accountability; Judgement & Decision-Making; Business Acumen to drive measurable outcomes.
  • Inclusive Collaboration; Inspiration & Alignment; Courage to take smart risks that enable innovation.
  • People Management: delegation, coaching, performance management, and talent development.
KEY PERFORMANCE INDICATORS (KPIs)
  • Velocity & Flow: Lead time for change; deployment frequency; PR cycle time (open-to-merge).
  • Reliability: Service SLO attainment; MTTI/MTTR; change failure rate.
  • Adoption & Self-Service: of services on Gantry; % workloads on paved paths/OAM templates; % infra as code.
  • Quality & Security: Policy compliance rate; supply-chain attestations; pipeline pass rate; vulnerability MTTR.
  • Experience & Enablement: Developer NPS; onboarding time to first deploy; "friction index" trend.
  • Overall infrastructure cost reduction while increasing all of the above.
WORKING CONDITIONS
  • Travel: 20%
  • Work Arrangement: Hybrid onsite in the WK posted locations.
Our Interview Practices

To maintain a fair and genuine hiring process, we kindly ask that all candidates participate in interviews without the assistance of AI tools or external prompts. Our interview process is designed to assess your individual skills, experiences, and communication style. We value authenticity and want to ensure we're getting to know you-not a digital assistant. To help maintain this integrity, we ask to remove virtual backgrounds and include in-person interviews in our hiring process. Please note that use of AI-generated responses or third-party support during interviews will be grounds for disqualification from the recruitment process.

Applicants may be required to appear onsite at a Wolters Kluwer office as part of the recruitment process.

Compensation:

$179,200.00 - $320,200.00 USDThis role is eligible for Bonus.

Compensation range listed is based on primary location of the position. Actual base salary offer is influenced by a wide array of factors including but not limited to skills, experience and actual hiring location. Your recruiter can share more information about the specific offer for the job location during the hiring process.

Additional Information:

Wolters Kluwer offers a wide variety of competitive benefits and programs to help meet your needs and balance your work and personal life, including but not limited to: Medical, Dental, & Vision Plans, 401(k), FSA/HSA, Commuter Benefits, Tuition Assistance Plan, Vacation and Sick Time, and Paid Parental Leave. Full details of our benefits are available upon request.


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