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Requirements Engineer Jobs in Seattle, WA (NOW HIRING)

Arup

Rail Systems Engineer (Requirements)

Seattle, WA · On-site

This role will focus on requirements engineering, traceability, compliance, and systems integration activities within complex, multidisciplinary design and construction teams, including within a ...

GeoEngineers

Senior Cybersecurity Engineer

Redmond, WA · On-site

Serve as the primary point of contact for information security matters, including security awareness, risk identification, and definition of system security requirements. * Engineer, implement, and ...

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All JobsRequirements Engineer JobsRequirements Engineer Jobs in Seattle, WA

Requirements Engineer information

See Seattle, WA salary details

$16

$59

$98

How much do requirements engineer jobs pay per hour?

As of Aug 7, 2026, the average hourly pay for requirements engineer in Seattle, WA is $59.76, according to ZipRecruiter salary data. Most workers in this role earn between $52.50 and $72.21 per hour, depending on experience, location, and employer.

What is a requirements engineer?

Requirements Engineers are professionals responsible for gathering, analyzing, documenting, and managing the needs and requirements of stakeholders for a project, typically in software development or systems engineering. They act as a bridge between clients, users, and technical teams to ensure that the final product meets all specified requirements. Requirements Engineers use various techniques such as interviews, workshops, and modeling to elicit and communicate requirements clearly. Their work is crucial in reducing misunderstandings, minimizing project risks, and ensuring successful project delivery.

What are the key skills and qualifications needed to thrive as a requirements engineer, and why are they important?

To thrive as a Requirements Engineer, you need strong analytical skills, domain knowledge, and experience in requirements elicitation and documentation, often supported by a degree in computer science, engineering, or a related field. Familiarity with requirements management tools (like IBM DOORS or Jama), modeling languages (such as UML), and relevant certifications (e.g., IREB, CBAP) is highly valued. Excellent communication, attention to detail, and stakeholder management skills help bridge gaps between technical teams and business needs. These competencies ensure accurate, clear requirements that drive successful project outcomes and reduce costly misunderstandings.

How does a requirements engineer typically collaborate with stakeholders during a project's lifecycle?

A Requirements Engineer works closely with stakeholders throughout a project's lifecycle to ensure that business needs are accurately captured, documented, and communicated to the development team. This collaboration involves facilitating workshops, conducting interviews, and leading regular review sessions to clarify requirements and manage changes. Effective communication and negotiation skills are essential, as Requirements Engineers often serve as a bridge between technical teams and non-technical stakeholders. Maintaining clear and up-to-date documentation is a key responsibility, helping to avoid misunderstandings and ensuring project alignment.

What is the difference between Requirements Engineer vs Business Analyst?

AspectRequirements EngineerBusiness Analyst
Primary FocusGathering, analyzing, and managing system requirementsUnderstanding business needs and translating them into solutions
CertificationsCBAP, CCBA, IREB certificationsCBAP, PMI-PBA, IREB certifications
Work EnvironmentIT projects, software development, systems engineeringBusiness processes, organizational change, project management
Industry UsageTechnology, software, engineering sectorsFinance, healthcare, consulting, and IT

While both roles involve analyzing requirements, Requirements Engineers focus more on technical specifications and system needs, whereas Business Analysts concentrate on understanding business processes and stakeholder needs. Both roles often collaborate but serve different primary purposes within projects.

What does a requirements engineer do?

As a requirements engineer, you determine needs in software product design. Your responsibilities are to identify functional requirements using quantifiable data. You analyze that data and translate it into the end user product. You work alongside project management to ensure a company’s systems meet audience or consumer needs. Other duties include communicating with system users to determine requirements, documenting all aspects of the development process, and testing system features for usability. You work with a team of software engineers to complete these tasks.

More about Requirements Engineer jobs
What are the most commonly searched types of Requirements Engineer jobs in Seattle, WA? The most popular types of Requirements Engineer jobs in Seattle, WA are:
What are popular job titles related to Requirements Engineer jobs in Seattle, WA? For Requirements Engineer jobs in Seattle, WA, the most frequently searched job titles are:
What job categories do people searching Requirements Engineer jobs in Seattle, WA look for? The top searched job categories for Requirements Engineer jobs in Seattle, WA are:
Requirements Engineer jobs near you
Infographic showing various Requirements Engineer job openings in Seattle, WA as of August 2026, with employment types broken down into 96% Full Time, and 4% Contract. Highlights an 96% In-person, and 4% Remote job distribution, with an average salary of $124,302 per year, or $59.8 per hour.

AI Engineer - Agentic AI Development - Contract - PST

Acunor Infotech

Seattle, WA • On-site

Other

Posted 6 days ago

Job description

AI Engineer Agentic AI Development

Location: Canada, US - PST timezone

Base Location: Seattle, WA
Work Arrangement: Hybrid preferred
Experience: 5 8 Years
Employment Type: Contract

Job Summary

We are seeking AI Engineers specializing in Agentic AI Development for one of our analytics clients, supporting a strategic AI initiative for a leading specialty retailer.

This is a highly hands-on engineering role focused on designing, building, evaluating, and deploying production-grade agentic AI systems that automate real-world business workflows. The ideal candidate will have strong software engineering fundamentals combined with recent hands-on experience developing agents, multi-agent systems, orchestration workflows, evaluation frameworks, and context-management solutions.

This is a high-visibility engagement requiring engineers who can independently take well-defined requirements through design, development, evaluation, and production deployment.

Key Responsibilities
  • Design and build production-grade AI agents and multi-agent orchestration systems.
  • Develop agent orchestration patterns, multi-agent coordination, tool integrations, and workflows.
  • Design and integrate tools used by agents, including MCP (Model Context Protocol) considerations where applicable.
  • Build programmatic agent evaluation frameworks covering metrics, offline/online evaluations, and failure-mode analysis.
  • Implement context engineering strategies including retrieval, context assembly, memory/state management, and context optimization.
  • Design solutions considering token limits, latency, reliability, and LLM cost constraints.
  • Develop production-ready code and own delivery across the full SDLC, including deployment.
  • Work independently from client-defined requirements while collaborating closely with engineering teams and stakeholders.
  • Contribute to engineering standards and GenAI development best practices across the broader team.
Required Skills & Experience

Software Engineering

  • 5 8 years of overall software engineering experience.
  • Strong experience building production-grade applications and owning solutions through deployment.
  • Solid understanding of software architecture, APIs, integrations, testing, and production engineering.

Agentic AI / Generative AI

  • Recent hands-on experience building and shipping agentic AI systems, ideally within the last 12 months.
  • Experience beyond prototypes, POCs, or prompt experimentation; candidates should have built functional agent workflows or production systems.
  • Strong understanding of modern foundation models and agentic architecture/design patterns.
  • Experience with agent orchestration, tool calling, multi-agent coordination, and MCP concepts.

Agent Evaluation

  • Practical experience designing and implementing agent/LLM evaluations.
  • Experience with programmatic metrics, offline and online evaluations, and failure-mode analysis.

Context Engineering

  • Hands-on experience with retrieval, context assembly, memory, and state management.
  • Understanding of context-window, latency, performance, and cost trade-offs in production LLM applications.

Frameworks

  • Experience with one or more agentic AI frameworks or SDKs such as LangGraph, AutoGen, CrewAI, Semantic Kernel, Claude Agent SDK, or OpenAI agent development tooling.
  • Ability to work framework-agnostically and apply transferable agentic architecture concepts.

Communication

  • Strong written and verbal communication skills.
  • Ability to operate independently from defined requirements and collaborate effectively with engineering and business stakeholders.
Nice to Have
  • Hands-on experience with Claude Agent SDK.
  • Experience with LLM cost management and optimization.
  • Strong stakeholder communication and requirements-translation skills.
  • Retail or E-commerce domain experience.
  • Experience working with customer journey, transaction, behavioral, or similar retail data.
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About Acunor

Sourced by ZipRecruiter

Acunor provides high quality digital engineers in the field of Java Full Stack Programming, Pega, Appian, Power BI, Salesforce, DevOps, No-Code & Low-Code, Data Science, Analytics, Data Base and Cloud Native solutions. ​We specialize in providing Java Full Stack Engineers, BPM (Pega, Appian) Consultants, Salesforce Consultants, AWS/Azure/GCP Engineers, Data Scientists, Technical PMs, Program and Engagement Managers. ​Management comprises of highly experienced and seasoned technology executives with vast expertise in Large Scale Development Projects, Cloud Native Solutions and Managed Services.

Industry

It services

Company size

11 - 50 Employees

Headquarters location

Princeton, NJ, US

Year founded

2016

Social media

Twitter

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