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Manager Requirements Engineer Jobs in Raleigh, NC

Duke Energy

Engineer I or II

Durham, NC · Hybrid

... manage project schedules and interfaces; increasingly competent to design, operate and maintain ... Basic Requirements - Engineer II * Graduation from a four-year college or university with a ...

ARM Group

Structural Engineer

Cary, NC · On-site

Requirements * Bachelor's degree in Civil\Structural Engineering. * 2+ years of related Structural ... Ability to multi-task and manage numerous projects simultaneously. * Self-motivated and driven.

ARM EnerTech Associates

Structural Engineer

Cary, NC · On-site

Requirements * Bachelor's degree in Civil\Structural Engineering. * 2+ years of related Structural ... Ability to multi-task and manage numerous projects simultaneously. * Self-motivated and driven.

Siritech Solutions Corp

Data Modeler Engineer

Raleigh, NC

$53.25 - $69/hr

... metadata management while aligning technical solutions with business requirements. Key ... Engineer conceptual, logical, and physical ER models for enterprise-grade data platforms * Design ...

Deloitte

Delivery Management Engineer III

Raleigh, NC · Hybrid

... manager which should include structured planning, reporting, and risk management responsibilities. * 6+ years' experience in requirements documentation (FSDs), mapping business needs to technical ...

Deloitte

Delivery Management Engineer II

Raleigh, NC · Hybrid

... manager which should include structured planning, reporting, and risk management responsibilities. 4+ years' experience in requirements documentation (FSDs), mapping business needs to technical ...

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Manager Requirements Engineer information

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How much do manager requirements engineer jobs pay per hour?

As of Jul 16, 2026, the average hourly pay for manager requirements engineer in Raleigh, NC is $54.43, according to ZipRecruiter salary data. Most workers in this role earn between $39.04 and $72.45 per hour, depending on experience, location, and employer.

What is the difference between Manager Requirements Engineer vs Requirements Engineer?

AspectManager Requirements EngineerRequirements Engineer
CredentialsBachelor's or higher in Engineering, Business, or related; certifications like IREB or CBAPBachelor's in Engineering, Computer Science, or related; certifications like IREB or CBAP
Work EnvironmentLeads teams, manages projects, collaborates with stakeholdersAnalyzes requirements, documents specifications, collaborates with development teams
Employer & Industry UsageUsed in software, engineering, and product development companiesCommon in software, IT, and engineering sectors

The main difference is that a Manager Requirements Engineer oversees teams and manages requirements processes, while a Requirements Engineer focuses on analyzing and documenting requirements. The manager role involves leadership and strategic planning, whereas the requirements engineer role is more technical and detail-oriented.

How does a Manager Requirements Engineer typically collaborate with cross-functional teams during the project lifecycle?

A Manager Requirements Engineer works closely with stakeholders from product management, development, quality assurance, and sometimes even end users to gather and clarify requirements. Throughout the project lifecycle, they facilitate communication between teams, ensuring that all technical and business needs are accurately captured and understood. They may lead requirements workshops, oversee documentation, and mediate any discrepancies between what stakeholders want and what is technically feasible. Effective collaboration is key to avoiding misunderstandings and ensuring project success.

What are the key skills and qualifications needed to thrive as a Manager Requirements Engineer, and why are they important?

To thrive as a Manager Requirements Engineer, you need strong analytical abilities, expertise in systems engineering, and a solid background in requirements management, typically supported by a degree in engineering or computer science. Familiarity with requirements management tools like IBM DOORS, Jama Connect, or similar platforms, along with certifications such as INCOSE CSEP or PMI-PBA, is highly valuable. Outstanding leadership, stakeholder communication, and problem-solving skills help drive teams and foster effective collaboration across departments. These capabilities ensure that project requirements are clearly defined, traceable, and aligned with business objectives, resulting in successful project outcomes.

What are Manager Requirements Engineers?

Manager Requirements Engineers are professionals who oversee teams responsible for gathering, analyzing, and documenting the requirements for projects, particularly in engineering, IT, or software development. They ensure that the needs and expectations of stakeholders are accurately captured and communicated to the technical teams. In addition to managing the requirements process, they coordinate with project managers, clients, and engineers to ensure that all specifications are clear and achievable. Their role is crucial in preventing misunderstandings and ensuring the final product meets quality and functional standards.
Manager Requirements Engineer jobs near you
Forward Deployed Engineer, Frontier GenAI

Forward Deployed Engineer, Frontier GenAI

Deloitte

Raleigh, NC

Other

Re-posted 20 days ago

Deloitte rating

8.1

Company rating: 8.1 out of 10

Based on 90 frontline employees who took The Breakroom Quiz

59th of 148 rated financial services

Job description

US E- Consulting Services- Associate Forward Deployed Engineer, Frontier GenAI

At Deloitte, Associate Forward Deployed Engineers (FDE) don't just build AI solutions, they help clients turn AI ambition into enterprise-scale impact, pairing leading class engineering with pod-based delivery and vertical expertise. If you thrive at the intersection of product, engineering, problem-solving, and client impact, this role puts you at the forefront of AI transformations.

Work you'll do

As an Associate Frontier Gen AI FDE, you will work side by side with senior functional and technical client team members to rapidly prototype and deliver high-impact Gen AI-enabled solutions. This requires a highly motivated practitioner who moves with speed and precision, building working software, engaging confidently with senior stakeholders and engineers to bring measurable business impact from day one. Additional responsibilities include:

Client Engagement

  • Embed with clients to identify business needs and translate high-value GenAI use cases into solutions.
  • Partner with leaders, product owners, architects, and engineers to align priorities and delivery.
  • Lead working sessions to shape solutions and drive client outcomes.
  • Prototype and deliver working AI solutions using industry expertise and emerging capabilities.
  • Contribute independently within an FDE pod while mentoring newer team members.

Solution Engineering

  • Build AI-enabled solutions, agentic platforms, and workflows across enterprise AI platforms.
  • Develop scalable AI engineering patterns, tool-use approaches, and human-in-the-loop controls.
  • Apply architecture decisions that balance quality, safety, latency, cost, and model risk.
  • Deliver production-quality code using strong practices in testing, CI/CD, logging, versioning, and documentation.
  • Design extensible functionality, support sprint sizing, and align solutions with senior team members.
  • Contribute reusable assets including code, prompt libraries, runbooks, and reference implementations.


The team

AI & Engineering leverages cutting-edge engineering capabilities to build, deploy, and operate integrated/verticalized sector solutions in software, data, AI, network, and hybrid cloud infrastructure. These solutions are powered by engineering for business advantage, transforming mission-critical operations. We enable clients to stay ahead with the latest advancements by transforming engineering teams and modernizing technology & data platforms. Our delivery models are tailored to meet each client's unique requirements.

Required qualifications 

  • Bachelor's degree (or equivalent) in Computer Science, Data Science or Engineering.
  • 1+ years of experience in software engineering, data engineering, data science, or analytics engineering. 
  • 1+ years of hands-on experience building and deploying GenAI/LLM-powered solutions in client or production environments
  • 1+ years of experience with one of the following Frontier GenAI Platforms: Anthropic, Google or Open AI, including hands on experience with one of the following key platforms/products; Claude API, Claude for Enterprise, tool use, extended thinking, Claude Code, Gemini API, Vertex AI Agent Builder, Grounding, Google Workspace integration, GPT-4o, Assistants API, Responses API, OpenAI Agents SDK
  • 1+ years of experience leading project workstreams/engagements and translating business problems into AI solutions
  • 1+ years of experience building reliable, maintainable, and well-documented code 
  • Ability to travel 50%, on average, based on the work you do and the clients and industries/sectors you serve
  • Limited immigration sponsorship may be available

Preferred qualifications

  • Experience with cloud environments (AWS, Azure, and/or Google Cloud) and common platform services (storage, compute, IAM, networking)
  • Demonstrated ability to work directly alongside client technical teams and program stakeholders in fast-paced, ambiguous delivery environments 
  • Data engineering experience with Spark, Airflow/dbt, streaming, data modeling or ML/data science background feature engineering, experimentation or model evaluation
  • Experience with MLOps/LLMOps practices: evaluation frameworks, model monitoring, and prompt management 
  • Experience integrating LLM solutions with enterprise systems via APIs, microservices, or event-driven architectures 
  • Experience operating within hybrid onshore/offshore teams 
  • Familiarity with security, privacy, and compliance considerations

The wage range for this role takes into account the wide range of factors that are considered in making compensation decisions including but not limited to skill sets; experience and training; licensure and certifications; and other business and organizational needs. The disclosed range estimate has not been adjusted for the applicable geographic differential associated with the location at which the position may be filled. At Deloitte, it is not typical for an individual to be hired at or near the top of the range for their role and compensation decisions are dependent on the facts and circumstances of each case. A reasonable estimate of the current range is $111,700 to $218,300

You may also be eligible to participate in a discretionary annual incentive program, subject to the rules governing the program, whereby an award, if any, depends on various factors, including, without limitation, individual and organizational performance.

Qualifications:

US E- Consulting Services- Associate Forward Deployed Engineer, Frontier GenAI

At Deloitte, Associate Forward Deployed Engineers (FDE) don't just build AI solutions, they help clients turn AI ambition into enterprise-scale impact, pairing leading class engineering with pod-based delivery and vertical expertise. If you thrive at the intersection of product, engineering, problem-solving, and client impact, this role puts you at the forefront of AI transformations.

Work you'll do

As an Associate Frontier Gen AI FDE, you will work side by side with senior functional and technical client team members to rapidly prototype and deliver high-impact Gen AI-enabled solutions. This requires a highly motivated practitioner who moves with speed and precision, building working software, engaging confidently with senior stakeholders and engineers to bring measurable business impact from day one. Additional responsibilities include:

Client Engagement

  • Embed with clients to identify business needs and translate high-value GenAI use cases into solutions.
  • Partner with leaders, product owners, architects, and engineers to align priorities and delivery.
  • Lead working sessions to shape solutions and drive client outcomes.
  • Prototype and deliver working AI solutions using industry expertise and emerging capabilities.
  • Contribute independently within an FDE pod while mentoring newer team members.

Solution Engineering

  • Build AI-enabled solutions, agentic platforms, and workflows across enterprise AI platforms.
  • Develop scalable AI engineering patterns, tool-use approaches, and human-in-the-loop controls.
  • Apply architecture decisions that balance quality, safety, latency, cost, and model risk.
  • Deliver production-quality code using strong practices in testing, CI/CD, logging, versioning, and documentation.
  • Design extensible functionality, support sprint sizing, and align solutions with senior team members.
  • Contribute reusable assets including code, prompt libraries, runbooks, and reference implementations.


The team

AI & Engineering leverages cutting-edge engineering capabilities to build, deploy, and operate integrated/verticalized sector solutions in software, data, AI, network, and hybrid cloud infrastructure. These solutions are powered by engineering for business advantage, transforming mission-critical operations. We enable clients to stay ahead with the latest advancements by transforming engineering teams and modernizing technology & data platforms. Our delivery models are tailored to meet each client's unique requirements.

Required qualifications 

  • Bachelor's degree (or equivalent) in Computer Science, Data Science or Engineering.
  • 1+ years of experience in software engineering, data engineering, data science, or analytics engineering. 
  • 1+ years of hands-on experience building and deploying GenAI/LLM-powered solutions in client or production environments
  • 1+ years of experience with one of the following Frontier GenAI Platforms: Anthropic, Google or Open AI, including hands on experience with one of the following key platforms/products; Claude API, Claude for Enterprise, tool use, extended thinking, Claude Code, Gemini API, Vertex AI Agent Builder, Grounding, Google Workspace integration, GPT-4o, Assistants API, Responses API, OpenAI Agents SDK
  • 1+ years of experience leading project workstreams/engagements and translating business problems into AI solutions
  • 1+ years of experience building reliable, maintainable, and well-documented code 
  • Ability to travel 50%, on average, based on the work you do and the clients and industries/sectors you serve
  • Limited immigration sponsorship may be available

Preferred qualifications

  • Experience with cloud environments (AWS, Azure, and/or Google Cloud) and common platform services (storage, compute, IAM, networking)
  • Demonstrated ability to work directly alongside client technical teams and program stakeholders in fast-paced, ambiguous delivery environments 
  • Data engineering experience with Spark, Airflow/dbt, streaming, data modeling or ML/data science background feature engineering, experimentation or model evaluation
  • Experience with MLOps/LLMOps practices: evaluation frameworks, model monitoring, and prompt management 
  • Experience integrating LLM solutions with enterprise systems via APIs, microservices, or event-driven architectures 
  • Experience operating within hybrid onshore/offshore teams 
  • Familiarity with security, privacy, and compliance considerations

The wage range for this role takes into account the wide range of factors that are considered in making compensation decisions including but not limited to skill sets; experience and training; licensure and certifications; and other business and organizational needs. The disclosed range estimate has not been adjusted for the applicable geographic differential associated with the location at which the position may be filled. At Deloitte, it is not typical for an individual to be hired at or near the top of the range for their role and compensation decisions are dependent on the facts and circumstances of each case. A reasonable estimate of the current range is $111,700 to $218,300

You may also be eligible to participate in a discretionary annual incentive program, subject to the rules governing the program, whereby an award, if any, depends on various factors, including, without limitation, individual and organizational performance.

Education:Bachelor's DegreeEmployment Type:

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