AI Native Software Engineer
- Location
- United States · On-site
- Job type
- Full-time
- Level
- Senior
- Experience
- 3+ years
- Education
- Bachelor's degree
- Listed
- Yesterday
Skills & highlights for this role
- .NET Full Stack Development
- Software design patterns and best practices
- AWS or other cloud platforms (Azure, Google Cloud)
- SaaS application design, development, and maintenance
- CI/CD pipelines
- Containerization (Docker, Kubernetes)
- Infrastructure as code (Terraform, CloudFormation)
Also useful
- Machine Learning (ML)
- ASP.NET MVC
- Database systems (SQL, NoSQL) and data architecture
- Security best practices and frameworks
- LLMs and automation
- Cloud, DevOps, or AI modernization experience
About the role
Project Role: AI Native Software Engineer
Project Role Description
Build and ship production-ready software using AI as a core part of the engineering lifecycle. Apply AI-native practices to develop and validate solutions, maintain quality and compliance, and continuously improve how software is built and operated.
Good to have skills
- Machine Learning (ML), ASP.NET MVC
- Minimum 3 year(s) of experience is required
Educational Qualification
15 years full time education
Summary
The Principal Engineer is a key leadership role within the engineering product team, responsible for overseeing and guiding complex technical projects, driving innovation, and ensuring the successful delivery of high quality software products. This role involves a combination of hands-on technical work, strategic planning, and team mentorship. If you have the drive to lead and mentor engineering teams, ability to set technical direction for greenfield SaaS products and excellent communication skills to work with cross-functional teams, including product management and other stakeholders, this position is for you
Roles and responsibilities
- Technical Leadership: Guide the engineering team on best practices, architecture, and technology choices.
- Project Oversight: Ensure successful delivery of projects, from concept to production.
- Mentorship: Mentor junior and mid-level engineers, fostering a culture of continuous learning.
- Stakeholder Collaboration: Work closely with stakeholders to align technical solutions with business goals.
- Innovation and R&D: Drive innovation by staying updated with the latest technologies and trends.
Must Have
Expertise in multiple languages (e.g,.Net).
Must Have
Strong understanding of software design patterns, principles, and best practices.
Must Have
Deep knowledge of AWS or other cloud platforms (Azure, Google Cloud).
Must Have
Extensive experience in designing, developing, and maintaining SaaS applications.
Must Have
- Proficiency with CI/CD pipelines, containerization (Docker, Kubernetes), and infrastructure as code (Terraform, CloudFormation).
- Knowledge of database systems (SQL, NoSQL) and data architecture.
- Understanding of security best practices and frameworks.
Must Have
Proven ability to lead and mentor engineering teams.
Must Have
Ability to set technical direction and make high-stakes decisions.
Must Have
- Ability to lead the team as a product owner and drive the delivery of the product vision with the engineering teams.
- Excellent communication skills to work with cross-functional teams, including product management and other stakeholders.
- Strong analytical skills to address complex technical challenges.
- Ability to operate at highly varying levels of abstraction, from business strategy to product strategy to high-level technical design to detailed technical design to implementation.
- Ability to work effectively in an ever changing, complex technical environment.
- Experience driving for results across cross-functional teams while maintaining effective working relationships.
- Must possess strong interpersonal, organizational, presentation and facilitation skills.
- Must be results oriented and customer focused with an ability to make successful trade-offs that balance short- and long-term product goals.
- High-energy, self-starter with a positive mindset and with a can do attitude.
- Proven experience in cloud, DevOps, or AI modernization initiatives.
- Strong understanding of LLMs, automation, and engineering toolchains.
- Ability to translate AI innovation into business and productivity impact.
Education qualifications
- Bachelor s OR Master s Degree in Computer Science, Information Systems or related field or equivalent combination of education/experience.
- Minimum Ten (4) years of experience in software development or engineering roles.
- Proven experience in leading complex, large-scale projects.
- Previous roles demonstrating technical leadership and architectural design skills.
You will be working with a Trusted Tax Technology Leader, committed to delivering reliable and innovative solutions
Additional Information
- The candidate should have minimum 3 years of experience in.Net Full Stack Development.
- A 15 years full time education is required.
15 years full time education
About Accenture
Accenture is a leading global professional services company that helps the world’s leading businesses, governments and other organizations build their digital core, optimize their operations, accelerate revenue growth and enhance citizen services—creating tangible value at speed and scale. We are a talent- and innovation-led company with approximately 791,000 people serving clients in more than 120 countries.
Technology is at the core of change today, and we are one of the world’s leaders in helping drive that change, with strong ecosystem relationships. We combine our strength in technology and leadership in cloud, data and AI with unmatched industry experience, functional expertise and global delivery capability.
Our broad range of services, solutions and assets across Strategy & Consulting, Technology, Operations, Industry X and Song, together with our culture of shared success and commitment to creating 360° value, enable us to help our clients reinvent and build trusted, lasting relationships. We measure our success by the 360° value we create for our clients, each other, our shareholders, partners and communities.
Equal opportunity and legal notices
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, military veteran status, sexual orientation, gender identity or expression, genetic information, marital status, citizenship status or any other basis as protected by applicable law. Our rich diversity makes us more innovative, more competitive, and more creative, which helps us better serve our clients and our communities.
From Core Compete's careers page, first listed on Rolev.ai on November 14, 2026. Rolev.ai is not the employer.
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Common questions
Where is the AI Native Software Engineer job at Core Compete located?
This AI Native Software Engineer position at Core Compete is located in United States (On-site). Always check Core Compete's application page for specific state eligibility or relocation policies.
What qualifications are required for AI Native Software Engineer at Core Compete?
For the AI Native Software Engineer role, Core Compete highlights 3+ years of relevant experience; a bachelor's degree; experience with .NET Full Stack Development, Software design patterns and best practices, AWS or other cloud platforms (Azure, Google Cloud), SaaS application design, development, and maintenance, CI/CD pipelines, Containerization (Docker, Kubernetes). Rolev.ai can score your existing resume against these requirements and show any skill gaps before you apply.
How do I apply for the AI Native Software Engineer position at Core Compete?
This listing links directly to Core Compete's Workday application page. You can apply directly on Core Compete's site, or use Rolev.ai to check your resume fit, generate a zero-hallucination tailored resume and cover letter for this posting, and autofill the Workday application form in 1 click with the Rolev.ai Chrome extension. You always review the form and press Submit yourself.