Consulting - Managed Services - AI-Native Software Engineer

Location:

Anywhere in Country

At EY, we're all in to shape your future with confidence.

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.

** The opportunity*
* 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, Dev Ops) 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.

** Dev Sec Ops  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).

** Skills and attributes for success*
* + 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/GCP), 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.

** Qualifications*
* + 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…