Top 23 Ai native software engineering manager Jobs in Leawood, Ks

AI Native Software Engineering Manager
Accenture —Overland Park, KS
- $87,400 - $305,000 a year
- Full-time
- Hybrid work
- Mid-level
- 3 years
- Java
- Paid holidays
- Disability insurance
US Tech - AI Engineering Manager
PRICE WATERHOUSE COOPERS —Kansas City, MO
- $73,500 - $244,000 a year
- Remote
- Azure
- DevOps
- System design
- Paid holidays
- Health insurance
Sr Manager, Product & Engineering - MarTech Platforms
T-Mobile USA, Inc. —Overland Park, KS
- $148,000 - $266,900 a year
- Full-time
- 18 years or older
- Computer science
- Computer Science
- Paid parental leave
- AD&D insurance
3d
AI Native Transformation Manager
Accenture —Overland Park, KS
- $87,400 - $266,300 a year
- Full-time
- Hybrid work
- Azure
- System design
- Analysis skills
- Paid holidays
- Disability insurance
CTIO AI Engineering Manager
PRICE WATERHOUSE COOPERS —Kansas City, MO
- $73,500 - $244,000 a year
- Azure
- Computer Science
- 5 years
- Paid holidays
- Health insurance
Supply Chain and Engineering– Software Defined Vehicle (SDV) Go-To-Market, Senior Manager / Associate Director
Accenture —Overland Park, KS
- $122,700 - $271,000 a year
- Full-time
- Hybrid work
- Computer science
- Computer Science
- 8 years
- Paid holidays
- Disability insurance
AI Product Manager
Five Elms Capital —Kansas City, MO
- Full-time
- 5 years
- Product management
- Senior level
ERP AI Engineer - Manager
PRICE WATERHOUSE COOPERS —Kansas City, MO
- $99,000 - $232,000 a year
- 7 years
- Oracle
- Computer Science
- Paid holidays
- Health insurance
IT Performance Mgr 1
Object Technology Solution —Overland Park, KS
- Overtime
- Mid-level
- Office
- Administrative experience
8d
Engineering Manager - PxE Platforms
Deloitte —Kansas City, MO
- $113,100 - $232,300 a year
- Full-time
- Computer Science
- AWS
- Bachelor's degree
Staff AI Solutions Architect
TENEX.AI —Overland Park, KS
- $250,000 - $350,000 a year
- Full-time
- Hybrid work
- Azure
- Computer Science
- Office
Head of Platform Engineering
TENEX.AI —Overland Park, KS
- Full-time
- Hybrid work
- Azure
- Computer Science
- System design
Cyber Forward Deployed Engineer - Manager
Deloitte —Kansas City, MO
- $148,200 - $292,300 a year
- Full-time
- Azure
- Management
- Computer Science
Oracle Gen AI Manager
Deloitte —Kansas City, MO
- $134,500 - $265,100 a year
- Full-time
- Azure
- Computer Science
- Up to 50% travel
Manager, Solution Architect
PRICE WATERHOUSE COOPERS —Kansas City, MO
- $99,000 - $232,000 a year
- 7 years
- Oracle
- Computer Science
- Paid holidays
- Health insurance
Senior Manager, Solution Architect
PRICE WATERHOUSE COOPERS —Kansas City, MO
- $124,000 - $280,000 a year
- 6 years
- Computer Science
- Java
- Paid holidays
- Health insurance
Sr Mobile Lead Software Engineer - Mobile Development
Leggett & Platt —Lenexa, KS
- 7 years
- Computer Science
- Office
11d
Director of Data Architecture
Helzberg Diamonds —North Kansas City, MO
- Hybrid work
- Computer Science
- Office
- Java
Lead Engineering Senior Manager - PxE Consulting
Deloitte —Kansas City, MO
- $130,900 - $268,700 a year
- Full-time
- Azure
- Computer Science
- 5 years
Sr. Software Engineer - .NET
Wellsky —Overland Park, KS
- Full-time
- Mid-level
- Office
- Bachelor's degree
- Paid holidays
- Health insurance

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AI Native Software Engineering Manager

Accenture -
Overland Park, KS

Apply Now

Job Details

Full-time
$87,400 - $305,000 a year

Benefits

Paid holidays
Disability insurance
Health insurance
Dental insurance
401(k)
Paid time off
Vision insurance

Qualifications

AI models
Containerization systems
Performance monitoring
Customer communication
Software engineering
Serving clients
Tooling
Infrastructure as Code (IaC)
Enterprise software
AI platforms (beyond public GPTs)
Enterprise software systems development
Microservices
Production systems
IT monitoring tools
Continuous integration
Cloud Native Design
Monitoring system implementation
Cloud automation
Workshop facilitation
DevOps automation
Cloud monitoring
Debugging

Full Job Description

We are:

A forward-thinking services company at the forefront of AI-native innovation. We partner with enterprise clients to create next-generation, agent-powered workflows engineered to scale in real-world settings. Our engineers embed deeply with customers, moving projects beyond experimentation into operational reality.

You are:

An AI Native Engineer with a minimum of 3 years of experience building cloud-native solutions, and deep expertise in designing and deploying agentic systems, especially for enterprise environments. You are a critical thinker that thrives in ambiguity, delivering concrete results by designing, building, and running custom AI agents that augment workflows and scale across modern infrastructure. You’ll help shape the playbook for how enterprises adopt and scale AI-native engineering globally.

The Work:

You’ll embed directly with clients — acting as both technologist and trusted advisor. You’ll partner with stakeholders to define use cases, rapidly prototype, and deploy agentic workflows that are robust, secure, and operational in complex enterprise domains. Often, these will be completely net new platforms and systems that need to be stitched together in our clients' environments alongside our Ecosystem partners.

Responsibilities:

Agent Architecture and Engineering: Design and engineer enterprise-ready AI agents encompassing retrieval, orchestration, policy-based routing, tool invocation, evaluation harnesses, and lifecycle observability.
AI Platform Integration: Develop abstraction layers across AI providers (Anthropic, Google, OpenAI, etc. ) to enable seamless integration and enablement.
Cloud-Native Engineering: Leverage containerization (Kubernetes, Docker), microservices, serverless, event-driven architectures, CI/CD, and observability to deliver scalable AI-native systems.
Domain-Specific Workflows: Tailor and deploy agentic applications across verticals — e.g., finance, healthcare, retail — addressing domain-specific processes via intelligent automation.
Client Engagement: Conduct design workshops, POCs, and code-with sessions to shape data-driven agent workflows with stakeholders, fostering trust and adoption.
Measure & Improve: Define and use key metrics, test harnesses, and evaluation plans to measure agent accuracy, latency, safety, and cost effectiveness.
Knowledge Sharing: Craft reusable patterns, documentation, and best practices to influence internal assets and client roadmaps.

Travel may be required for this role. The amount of travel will vary from 25% to 75% depending on business need and client requirements.

Here’s What You Need:

Minimum of 3 years engineering experience with cloud-native systems (APIs, microservices, containerization, serverless).
Minimum of 1 year expertise in designing and deploying agentic solutions (agents, orchestration, context engineering, RAG, workflows) in production environments.
Minimum of 3 years experience with AI platforms — OpenAI, Claude, Vertex AI, plus open-source models — including building abstraction layers to manage multi-provider pipelines.
Minimum of 5 years experience programming in Python, Java, or equivalent; familiarity with evaluation tooling, logging, monitoring, and agent observability.
Minimum of 5 years experience deploying to production — CI/CD, infrastructure as code (Terraform, Helm), monitoring, and debugging.
Minimum of 5 years experience with client communication and collaboration, including being capable of leading technical workshops and delivering under ambiguity.
Bachelor's degree or equivalent (minimum 12 years) work experience. (If Associate Degree, must have minimum 6 years work experience)

Bonus Points If:

You’ve served as an Agentic AI Engineer in an Enterprise environment
Additional AI certifications or agentic tool experience is a plus.
You’ve defined or worked with enterprise-grade architectures for compound AI systems, orchestration frameworks, or agent registry/stream-based architectures.
You understand the AI-native paradigm — blending cloud-native with generative model architectures — optimizing for performance, modularity, and efficiency.
You’ve delivered solutions across multiple industries (e.g., finance, healthcare) by tailoring agentic workflows to industry needs

Compensation at Accenture varies depending on a wide array of factors, which may include but are not limited to the specific office location, role, skill set, and level of experience. As required by local law, Accenture provides a reasonable range of compensation for roles that may be hired as set forth below.
We anticipate this job posting will be posted until 06/23/2026.

Accenture offers a market competitive suite of benefits including medical, dental, vision, life, and long-term disability coverage, a 401(k) plan, bonus opportunities, paid holidays, and paid time off. See more information on our benefits here:

U.S. Employee Benefits | Accenture

Role Location Annual Salary Range

California $94,400 to $305,000

Cleveland $87,400 to $244,000

Colorado $94,400 to $263,500

District of Columbia $100,500 to $280,600

Illinois $87,400 to $263,500

Maine $80,400 to $224,500

Maryland $94,400 to $263,500

Massachusetts $94,400 to $280,600

Minnesota $94,400 to $263,500

New York $87,400 to $305,000

New Jersey $100,500 to $305,000

Virginia $87,400 to $280,600

Washington $100,500 to $280,600

#LI-NA-FY25

Requesting an Accommodation

Accenture is committed to providing equal employment opportunities for persons with disabilities or religious observances, including reasonable accommodation when needed. If you are hired by Accenture and require accommodation to perform the essential functions of your role, you will be asked to participate in our reasonable accommodation process. Accommodations made to facilitate the recruiting process are not a guarantee of future or continued accommodations once hired.

If you would like to be considered for employment opportunities with Accenture and have accommodation needs such as for a disability or religious observance, please call us toll free at 1 (877) 889-9009 or send us an email or speak with your recruiter.

Equal Employment Opportunity Statement

We believe that no one should be discriminated against because of their differences. All employment decisions shall be made without regard to age, race, creed, color, religion, sex, national origin, ancestry, disability status, veteran status, sexual orientation, gender identity or expression, genetic information, marital status, citizenship status or any other basis as protected by federal, state, or local law. Our rich diversity makes us more innovative, more competitive, and more creative, which helps us better serve our clients and our communities.

For details, view a copy of the Accenture Equal Opportunity Statement

Accenture is an EEO and Affirmative Action Employer of Veterans/Individuals with Disabilities.

Accenture is committed to providing veteran employment opportunities to our service men and women.

Other Employment Statements

Applicants for employment in the US must have work authorization that does not now or in the future require sponsorship of a visa for employment authorization in the United States.

Candidates who are currently employed by a client of Accenture or an affiliated Accenture business may not be eligible for consideration.

Job candidates will not be obligated to disclose sealed or expunged records of conviction or arrest as part of the hiring process. Further, at Accenture a criminal conviction history is not an absolute bar to employment.

The Company will not discharge or in any other manner discriminate against employees or applicants because they have inquired about, discussed, or disclosed their own pay or the pay of another employee or applicant. Additionally, employees who have access to the compensation information of other employees or applicants as a part of their essential job functions cannot disclose the pay of other employees or applicants to individuals who do not otherwise have access to compensation information, unless the disclosure is (a) in response to a formal complaint or charge, (b) in furtherance of an investigation, proceeding, hearing, or action, including an investigation conducted by the employer, or (c) consistent with the Company's legal duty to furnish information.

California requires additional notifications for applicants and employees. If you are a California resident, live in or plan to work from Los Angeles County upon being hired for this position, please click here for additional important information.

Please read Accenture’s Recruiting and Hiring Statement for more information on how we process your data during the Recruiting and Hiring process.

Apply Now

Refine Your Search

ai native software engineering manager jobs in leawood, ks

AI Native Software Engineering Manager

US Tech - AI Engineering Manager

Sr Manager, Product & Engineering - MarTech Platforms

AI Native Transformation Manager

CTIO AI Engineering Manager

Supply Chain and Engineering– Software Defined Vehicle (SDV) Go-To-Market, Senior Manager / Associate Director

AI Product Manager

ERP AI Engineer - Manager

IT Performance Mgr 1

Engineering Manager - PxE Platforms

Staff AI Solutions Architect

Head of Platform Engineering

Cyber Forward Deployed Engineer - Manager

Oracle Gen AI Manager

Manager, Solution Architect

Senior Manager, Solution Architect

Sr Mobile Lead Software Engineer - Mobile Development

Director of Data Architecture

Lead Engineering Senior Manager - PxE Consulting

Sr. Software Engineer - .NET

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