Consulting - Managed Services - AI-Native Software Engineer
EY
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, 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). 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 adopt new ways of working without compromising trust. What we offer you 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. EY | Building a better working world What we offer youAt 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. Are you ready to shape your future with confidence? Apply today. EY accepts applications for this position on an on-going basis. For those living in California, please click here for additional information. EY focuses on high-ethical standards and integrity among its employees and expects all candidates to demonstrate these qualities. EY | Building a better working world 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. EY provides equal employment opportunities to applicants and employees without regard to race, color, religion, age, sex, sexual orientation, gender identity/expression, pregnancy, genetic information, national origin, protected veteran status, disability status, or any other legally protected basis, including arrest and conviction records, in accordance with applicable law. EY is committed to providing reasonable accommodation to qualified individuals with disabilities including veterans with disabilities. If you have a disability and either need assistance applying online or need to request an accommodation during any part of the application process, please call 1-800-EY-HELP3, select Option 2 for candidate related inquiries, then select Option 1 for candidate queries and finally select Option 2 for candidates with an inquiry which will route you to EY’s Talent Shared Services Team (TSS) or email the TSS at View email address on click.appcast.io.
$125.5k - $230.2k
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...contribute to developing cutting‑edge AI systems, while enjoying the... ..., machine learning, and other engineers — who are driving real‑world... ...Fluency in English (native or bilingual level). Preferred... ...progress). Previous experience as a Software Developer, Coder, Software Engineer...Hourly payFull timeRemote workFlexible hours- ...Requirements Maximus is currently seeking a Software Engineer . In this role, you will provide expertise in the areas of managed file transfer and EDI X12 translations. In... ...analyzing, and summarizing development and service issues. Job-Specific Essential Duties and...Minimum wageFull timeContract workTemporary workWork experience placementRemote work
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$106.8k - $194.8k
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...LLP provides a full range of consulting and audit services to help our Federal, State,... ...a bridge between product, engineering, and platform teams to... ...Identify, communicate, and manage risks, assumptions, issues,... ...AZ-400, AZ-500, AZ-700, AI-102 Certified Kubernetes Administrator...Full timeSummer holidayLocal areaFlexible hoursShift work- ...A global professional services firm is looking for a Senior AI Native Engineer to revolutionize how businesses leverage AI. The role involves researching, building, and implementing scalable AI systems in collaboration with clients and diverse teams. You will work on...
$140k - $170k
...such as Terraform, AWS Services, Docker, Kubernetes, and... ...Git development. The Engineer is expected to provide... ...Networking: Implement and manage IAM policies,... ...Karpenter for scalable, cloud-native solutions. Best Practices... ...Understanding of any AI Agents, preferably AWS...Full timeLocal areaRemote work- ...Purpose of the Job The Applied AI Engineer is responsible for developing, deploying, and maintaining applied generative AI solutions that... ...and ML Ops teams to operationalize AI workloads on AWS using services such as SageMaker, Lambda, ECS/EKS, and S3. Build and maintain...Work at officeLocal area
$67k - $136.8k
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$78k - $119k
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