AI-Native Software Engineer

You’ll help build and modernize digital products and applications using an AI-first delivery approach. In this role, you’ll pair traditional engineering fundamentals with AI tooling to accelerate design, coding, testing, documentation and release-while maintaining high quality, security and Responsible AI standards. You’ll work in cross-functional squads (product, design, engineering, QA, DevOps) delivering outcomes for clients across industries.

Your key responsibilities

AI-native delivery (build)

• Use AI coding assistants to generate, refactor and modernize code while applying secure-by-design practices and peer review discipline.
• Translate user stories and acceptance criteria into working software with strong engineering fundamentals (readability, modularity, performance).
• Create and maintain reusable components, templates and accelerators that improve team velocity and consistency.
• Apply prompt patterns and structured context (docs, schemas, examples) to improve AI outputs and reduce rework.

Quality engineering (test)

• Use AI tools to draft unit/integration tests, contract tests and test data; validate coverage and edge cases with engineering judgment.
• Implement automated QA in CI/CD (linting, SAST/DAST, dependency scanning, performance checks, test gates).
• Support exploratory testing and defect triage; drive root-cause fixes rather than symptomatic patches.
• Produce clear technical documentation and runbooks (including AI-assisted documentation) to support supportability and knowledge transfer.

DevSecOps and observability (run)

• Contribute to pipelines, environments and release automation; ensure builds are repeatable and auditable.
• Instrument services for logs/metrics/traces; help define SLOs/SLIs and error budgets for critical paths.
• Assist with incident response by using AI tools to summarize telemetry, propose hypotheses and accelerate remediation-under human oversight.

Client and team collaboration

• Collaborate with product owners and designers to turn intent into implementable technical plans.
• Communicate progress, risks and tradeoffs; contribute to estimation and sprint planning.
• Mentor junior teammates on AI-augmented engineering practices (prompting, validation, secure use of tools)., * The ability to work on transformative digital product builds with global clients.
• A collaborative, inclusive culture with access to modern engineering platforms and AI-enabled delivery tools.
• Career-long learning, certifications and coaching to grow both technical depth and consulting impact.
• Flexible work options (subject to engagement needs).

Responsible use of AI tools (non-negotiable)

• Follow EY and client policies for data handling; do not enter confidential client data into non-approved tools.
• Validate AI-generated outputs through testing, review and security checks; humans remain accountable for final deliverables.
• Use AI to accelerate work-not to bypass controls, quality gates or professional judgment.

• Strong foundation in software engineering: data structures, APIs, version control, code review and debugging.
• Hands-on experience building web and/or cloud applications (front-end, back-end or full-stack).
• Practical knowledge of automated testing and CI/CD; ability to improve quality through automation.
• Comfort using AI tools (coding assistants, test generation, documentation) with disciplined validation and security awareness.
• Curiosity, learning agility and the ability to explain technical concepts to non-technical stakeholders.

Ideally, you’ll also have

• Experience with cloud-native development (Azure/AWS/Google Cloud Platform), containers and infrastructure-as-code concepts.
• Familiarity with modern front-end frameworks and/or API design patterns (REST/GraphQL/event-driven).
• Exposure to Responsible AI concepts (privacy, data handling, bias, model risk) and secure coding standards.
• Experience building with or integrating GenAI capabilities (prompting, RAG patterns, embeddings, evals) is a plus., * Bachelor’s degree in Computer Science, Engineering or a related discipline (or equivalent experience).
• Typically 4+ years of professional software development experience (consulting or product teams).
• Experience delivering in Agile teams and collaborating across product, design and QA.

What we look for

We’re looking for people who are builders and problem solvers-team-oriented, client-focused and committed to quality. You bring a ‘learn fast, ship responsibly’ mindset, combine AI acceleration with sound engineering judgment, and help teams adopt new ways of working without compromising trust.

At EY, we’ll develop you with future-focused skills and equip you with world-class experiences. We’ll empower you in a flexible environment, and fuel you and your extraordinary talents in a diverse and inclusive culture of globally connected teams. Learn more.

• We offer a comprehensive compensation and benefits package where you’ll be rewarded based on your performance and recognized for the value you bring to the business. The base salary range for this job in all geographic locations in the US is $112,300 to $185.400. The base salary range for New York City Metro Area, Washington State and California (excluding Sacramento) is $134,700 to $210.700. Individual salaries within those ranges are determined through a wide variety of factors including but not limited to education, experience, knowledge, skills and geography. In addition, our Total Rewards package includes medical and dental coverage, pension and 401(k) plans, and a wide range of paid time off options.
• Join us in our team-led and leader-enabled hybrid model. Our expectation is for most people in external, client serving roles to work together in person 40-60% of the time over the course of an engagement, project or year.
• Under our flexible vacation policy, you’ll decide how much vacation time you need based on your own personal circumstances. You’ll also be granted time off for designated EY Paid Holidays, Winter/Summer breaks, Personal/Family Care, and other leaves of absence when needed to support your physical, financial, and emotional well-being.

We’ll help you succeed in a globally connected powerhouse of diverse teams and take your career wherever you want it to go. Join EY and help to build a better working world., EY focuses on high-ethical standards and integrity among its employees and expects all candidates to demonstrate these qualities.

EY is building a better working world by creating new value for clients, people, society and the planet, while building trust in capital markets.

Enabled by data, AI and advanced technology, EY teams help clients shape the future with confidence and develop answers for the most pressing issues of today and tomorrow.

EY teams work across a full spectrum of services in assurance, consulting, tax, strategy and transactions. Fueled by sector insights, a globally connected, multi-disciplinary network and diverse ecosystem partners, EY teams can provide services in more than 150 countries and territories.