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Managed Services - AI-Native Software Engineer - Senior Consultant

Job

OREGON EMPLOYMENT DEPARTMENT

Salem, MA (In Person)

Part-Time

Posted 1 week ago (Updated 3 days ago) • Actively hiring

Expires 6/6/2026

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Job Description

Job Listing ID:
4482708
Job Title:
Managed Services
  • AI-Native Software Engineer
Senior Consultant Application Deadline:
Open Until Filled
Job Location:
Salem
Date Posted:
04/29/2026
Hours Worked Per Week:
Not Provided Shift:
Not Provided Duration of Job:
Either Full or Part Time, more than 6 months You may contact this employer directly. (Obtain the contact information to print or add to your jobs.)
Job Summary:
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 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 emphasizes technical depth, engineering judgment, and architecture ownership across build-and-run engagements in Digital Engineering Managed Services. Your key responsibilities 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 containerized platforms.
  • Exposure to observability stacks, SRE concepts and incident response.
  • Experience architect.
..
Job Classification:
Software Developers Access our statewide or regional occupation report for more information about wages, employment outlooks, skills, training programs, related occupations, and more. Compensation
Salary:
Not Provided Job Requirements
Experience Required:
 See Job Summary
Education Required:
None
Minimum Age:
N/A Gender:
N/A

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