Managed Services - AI-Native Software Engineer - Senior Consultant
Ernst & Young Oman, Oklahoma City, OK, United States
Overview
Location: Anywhere in Country
This role is for a hands‑on Solution Architect who designs, prototypes and builds modern, AI‑enabled applications and digital products. You will spend the majority of your time designing architectures, writing and reviewing code, building proofs‑of‑concept, and guiding engineering teams through complex technical decisions. This position emphasises technical depth, engineering judgment, and architecture ownership across build‑and‑run engagements in Digital Engineering Managed Services.
Hands‑on solution architecture & design
Design end‑to‑end application architectures across UI, APIs, services, data, AI components, integrations and runtime platforms.
Actively prototype and spike solutions (code, configs, pipelines, prompts) to validate architectural decisions early.
Define and evolve reference architectures for AI‑enabled products, including RAG patterns, vector search, prompt orchestration, evaluation and guardrails.
Author Architecture Decision Records (ADRs), sequence flows, deployment diagrams and non‑functional requirements.
AI‑accelerated build leadership
Work directly in codebases alongside engineers to set patterns, unblock delivery and raise technical quality.
Leverage AI coding and testing tools to accelerate development while enforcing clean architecture, security and maintainability.
Review AI‑generated code, tests and documentation; apply engineering judgment to validate correctness and risk.
Guide teams on effective prompt design, context management and reuse of AI accelerators.
Non‑functional architecture & reliability
Define performance, scalability, resilience, observability and operability requirements up front.
Design for reliability using SLOs/SLIs, telemetry, graceful degradation and incident readiness.
Embed security‑by‑design, Zero Trust principles and Responsible AI controls into solution designs.
Ensure solutions are production‑ready with runbooks, automation and clear support handoffs.
Build‑to‑run ownership (Managed Services)
Architect solutions that transition cleanly into long‑term managed operations.
Design CI/CD pipelines, environment strategies and release automation with operational simplicity in mind.
Balance speed of delivery with sustainability, cost transparency and service SLAs.
Client collaboration & technical leadership
Lead technical workshops and whiteboarding sessions with client architects and engineers.
Explain architectural tradeoffs clearly to technical and semi‑technical stakeholders.
Support solutioning and proposals primarily through architecture design, estimates and delivery approaches.
Skills and attributes for success
Strong hands‑on background in software engineering and modern application architectures.
Deep understanding of cloud‑native design, APIs, integration patterns and data architectures.
Practical experience building AI‑enabled features (prompting, RAG, embeddings, evaluation).
Comfort working directly in code, infrastructure and pipelines—not just producing diagrams.
Clear technical communication and a bias toward building to learn.
Ideally, you’ll also have
Experience with Azure (preferred), AWS or GCP and containerised platforms.
Exposure to observability stacks, SRE concepts and incident response.
Experience architecting in regulated environments with privacy, security or model‑risk considerations.
Relevant cloud, security or architecture certifications (a plus, not required).
Qualifications
Bachelor’s degree in Computer Science, Engineering or related discipline (or equivalent experience).
Typically 8+ years in engineering and solution architecture roles, with recent hands‑on delivery responsibility.
Prior consulting or complex product delivery experience strongly preferred.
What we look for
We look for architects who lead by building. You combine strong engineering fundamentals with modern AI‑enabled delivery techniques, stay close to the code, and help teams move faster without sacrificing trust, quality or security.
What we offer you
Hands‑on ownership of complex, AI‑forward digital products and platforms.
Access to modern engineering stacks, AI tooling and global Digital Engineering expertise.
Continuous learning, certification support and opportunities to shape reusable EY assets.
Flexible work arrangements within a collaborative, inclusive culture.
We offer a comprehensive compensation and benefits package where you’ll be rewarded based on your performance and recognised for the value you bring to the business. The base salary range for this job in all geographic locations in the US is US$86,500 to US$142,700. The base salary range for New York City Metro Area, Washington State and California (excluding Sacramento) is US$103,700 to US$162,100. 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.
Responsible use of AI tools (non‑negotiable)
Follow EY and client policies for data protection, privacy and confidentiality.
Ensure all AI‑enabled components are evaluated, monitored and governed.
Maintain human accountability for architecture decisions and production readiness.
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 provides equal employment opportunities to applicants and employees without regard to race, colour, 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 ssc.customersupport@ey.com .
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Location: Anywhere in Country
This role is for a hands‑on Solution Architect who designs, prototypes and builds modern, AI‑enabled applications and digital products. You will spend the majority of your time designing architectures, writing and reviewing code, building proofs‑of‑concept, and guiding engineering teams through complex technical decisions. This position emphasises technical depth, engineering judgment, and architecture ownership across build‑and‑run engagements in Digital Engineering Managed Services.
Hands‑on solution architecture & design
Design end‑to‑end application architectures across UI, APIs, services, data, AI components, integrations and runtime platforms.
Actively prototype and spike solutions (code, configs, pipelines, prompts) to validate architectural decisions early.
Define and evolve reference architectures for AI‑enabled products, including RAG patterns, vector search, prompt orchestration, evaluation and guardrails.
Author Architecture Decision Records (ADRs), sequence flows, deployment diagrams and non‑functional requirements.
AI‑accelerated build leadership
Work directly in codebases alongside engineers to set patterns, unblock delivery and raise technical quality.
Leverage AI coding and testing tools to accelerate development while enforcing clean architecture, security and maintainability.
Review AI‑generated code, tests and documentation; apply engineering judgment to validate correctness and risk.
Guide teams on effective prompt design, context management and reuse of AI accelerators.
Non‑functional architecture & reliability
Define performance, scalability, resilience, observability and operability requirements up front.
Design for reliability using SLOs/SLIs, telemetry, graceful degradation and incident readiness.
Embed security‑by‑design, Zero Trust principles and Responsible AI controls into solution designs.
Ensure solutions are production‑ready with runbooks, automation and clear support handoffs.
Build‑to‑run ownership (Managed Services)
Architect solutions that transition cleanly into long‑term managed operations.
Design CI/CD pipelines, environment strategies and release automation with operational simplicity in mind.
Balance speed of delivery with sustainability, cost transparency and service SLAs.
Client collaboration & technical leadership
Lead technical workshops and whiteboarding sessions with client architects and engineers.
Explain architectural tradeoffs clearly to technical and semi‑technical stakeholders.
Support solutioning and proposals primarily through architecture design, estimates and delivery approaches.
Skills and attributes for success
Strong hands‑on background in software engineering and modern application architectures.
Deep understanding of cloud‑native design, APIs, integration patterns and data architectures.
Practical experience building AI‑enabled features (prompting, RAG, embeddings, evaluation).
Comfort working directly in code, infrastructure and pipelines—not just producing diagrams.
Clear technical communication and a bias toward building to learn.
Ideally, you’ll also have
Experience with Azure (preferred), AWS or GCP and containerised platforms.
Exposure to observability stacks, SRE concepts and incident response.
Experience architecting in regulated environments with privacy, security or model‑risk considerations.
Relevant cloud, security or architecture certifications (a plus, not required).
Qualifications
Bachelor’s degree in Computer Science, Engineering or related discipline (or equivalent experience).
Typically 8+ years in engineering and solution architecture roles, with recent hands‑on delivery responsibility.
Prior consulting or complex product delivery experience strongly preferred.
What we look for
We look for architects who lead by building. You combine strong engineering fundamentals with modern AI‑enabled delivery techniques, stay close to the code, and help teams move faster without sacrificing trust, quality or security.
What we offer you
Hands‑on ownership of complex, AI‑forward digital products and platforms.
Access to modern engineering stacks, AI tooling and global Digital Engineering expertise.
Continuous learning, certification support and opportunities to shape reusable EY assets.
Flexible work arrangements within a collaborative, inclusive culture.
We offer a comprehensive compensation and benefits package where you’ll be rewarded based on your performance and recognised for the value you bring to the business. The base salary range for this job in all geographic locations in the US is US$86,500 to US$142,700. The base salary range for New York City Metro Area, Washington State and California (excluding Sacramento) is US$103,700 to US$162,100. 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.
Responsible use of AI tools (non‑negotiable)
Follow EY and client policies for data protection, privacy and confidentiality.
Ensure all AI‑enabled components are evaluated, monitored and governed.
Maintain human accountability for architecture decisions and production readiness.
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 provides equal employment opportunities to applicants and employees without regard to race, colour, 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 ssc.customersupport@ey.com .
#J-18808-Ljbffr