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Systems Engineering Consultant Jobs (NOW HIRING)

This is a hands-on role for a consultant who can operate across the full lifecycle: * Rapidly ... Optimize models, pipelines, and system performance for production readiness * Leverage modern AI/ML ...

Systems Engineering L3

Clifton, NJ · On-site

$63 - $68/hr

Communication within Systems Engineering and across other engineering disciplines. * Support/lead ... S. states and Canada, we support thousands of consultants through our expansive, high-performing ...

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Systems Engineering Consultant information

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$22

$63

$110

How much do systems engineering consultant jobs pay per hour?

As of Sep 3, 2026, the average hourly pay for systems engineering consultant in the United States is $63.38, according to ZipRecruiter salary data. Most workers in this role earn between $39.42 and $77.16 per hour, depending on experience, location, and employer.

What is a systems engineering consultant?

Systems Engineering Consultants are professionals who provide expert advice and solutions for designing, integrating, and managing complex systems throughout their life cycles. They work with organizations to ensure that all components of a system—hardware, software, processes, and people—work together efficiently and effectively. Their responsibilities often include requirements analysis, system architecture design, risk management, and process improvement. Systems Engineering Consultants typically collaborate with stakeholders across various departments to deliver projects on time and within budget.

How does a systems engineering consultant typically collaborate with clients and cross-functional teams during a project?

As a Systems Engineering Consultant, you will frequently act as a bridge between clients and internal technical teams. You'll gather and analyze client requirements, facilitate design review meetings, and ensure that proposed solutions align with both business objectives and technical feasibility. Collaboration often involves regular communication, documentation, and iterative feedback sessions to address evolving needs and troubleshoot challenges. This role requires strong interpersonal skills and adaptability, as you'll be working closely with stakeholders from diverse backgrounds to drive project success.

What are the key skills and qualifications needed to thrive as a systems engineering consultant, and why are they important?

To thrive as a Systems Engineering Consultant, you need strong analytical abilities, expertise in systems integration, and a relevant degree in engineering or computer science. Familiarity with modeling tools like MATLAB, SysML, and requirements management software, as well as certifications such as INCOSE CSEP, are often required. Excellent communication, project management, and problem-solving skills help you collaborate with stakeholders and deliver effective solutions. These skills ensure you can design, implement, and optimize complex systems to meet client needs and industry standards.

What is the difference between Systems Engineering Consultant vs Systems Engineer?

AspectSystems Engineering ConsultantSystems Engineer
CredentialsTypically requires a bachelor's or master's in engineering, certifications like INCOSE CSEP are commonUsually holds a bachelor's or master's in systems or electrical engineering, certifications like INCOSE CSEP are beneficial
Work EnvironmentConsults with multiple clients, often project-based, in various industriesWorks within an organization on designing, developing, and maintaining systems
Employer & IndustryConsulting firms, defense, aerospace, IT, government agenciesCorporations, government agencies, defense, aerospace, manufacturing

While both roles require similar credentials and industry knowledge, Systems Engineering Consultants focus on providing expert advice across multiple projects and clients, whereas Systems Engineers work within organizations to develop and maintain specific systems.

Do systems engineering consultants make a lot of money?

Systems engineering consultants typically earn competitive salaries that vary based on experience, location, and industry. They often have specialized skills in systems design, integration, and project management, which can lead to higher compensation, especially with certifications like INCOSE or PMP. Overall, the role can be financially rewarding compared to many other engineering positions.
More about Systems Engineering Consultant jobs

What cities are hiring for Systems Engineering Consultant jobs?

Cities with the most Systems Engineering Consultant job openings:

What states have the most Systems Engineering Consultant jobs?

States with the most job openings for Systems Engineering Consultant jobs include:

Infographic showing various Systems Engineering Consultant job openings in the United States as of August 2026, with employment types broken down into 88% Full Time, and 12% Contract. Highlights an 84% In-person, and 16% Remote job distribution, with an average salary of $131,821 per year, or $63.4 per hour.

AI Engineering Consultant

HireScale

New York, NY • On-site

Full-time

Re-posted 14 days ago


Job description

Project Overview

HireScale is partnering with an innovative organization looking to accelerate their AI capabilities and embed intelligent systems into core workflows. This engagement is built around rapid 0→1 product development—taking ideas from concept to working prototypes and MVPs with speed, precision, and real-world applicability.

The focus is on shipping, not speculating. You’ll leverage AI-assisted development as a force multiplier—using modern tooling to compress build cycles, iterate quickly, and validate ideas in-market—without compromising on code quality, system design, or long-term scalability.


This is a hands-on role for a consultant who can operate across the full lifecycle:

  • Rapidly translating ambiguous ideas into tangible prototypes
  • Building MVPs that balance speed with solid engineering fundamentals
  • Making smart trade-offs between velocity and technical rigor
  • Establishing patterns that can evolve from prototype → production


You’ll work at the intersection of product, engineering, and AI—bringing structure to fast-moving environments while maintaining a high bar for accuracy, performance, and maintainability.

The end goal isn’t just to build something quickly—it’s to build the right thing, prove it works, and set the foundation to scale it.


Scope of Work & Core Capabilities

  • Design and ship AI-driven solutions aligned to clear business outcomes
  • Translate ambiguous use cases into fast, working prototypes and MVPs
  • Build, test, and deploy scalable AI applications end-to-end
  • Apply strong engineering fundamentals to balance speed, accuracy, and maintainability
  • Optimize models, pipelines, and system performance for production readiness
  • Leverage modern AI/ML frameworks and LLMs (OpenAI, Anthropic, LLaMA, Mistral)
  • Develop across Python, JavaScript/TypeScript, and SQL-based environments
  • Utilize frameworks like LangChain, LlamaIndex, PyTorch, TensorFlow, FastAPI, and Node.js
  • Deploy and manage infrastructure across AWS, GCP, or Azure using Docker and modern hosting platforms (Vercel, Netlify)
  • Work with vector databases and data systems (PostgreSQL, Pinecone, Weaviate, FAISS)
  • Collaborate with stakeholders and communicate complex concepts clearly
  • Document solutions and enable clean handoff for internal teams


Engagement Brief

This consulting engagement is focused on delivering real, production-ready AI outcomes within a defined timeframe by balancing speed, scalability, and measurable business impact. It’s structured for experienced builders who can own execution end-to-end and deliver work that lasts beyond the engagement.

  • Target Outcomes: Production-ready AI solutions aligned to defined use cases, delivering measurable improvements in efficiency, accuracy, or cost, with scalable architecture and a clean handoff for internal teams
  • Duration: 8–12 weeks, with potential extension based on outcomes
  • Commitment: Full-service or fractional, depending on scope
  • Budget: Flexible based on timeline, scope, and proposal
  • Start Date: ASAP


Portfolio Requirements:

  • 2–3 relevant AI/ML projects (production or near-production)
  • Demonstrated end-to-end ownership (problem → solution → outcome)
  • Clear evidence of impact (metrics, business results, or adoption)
  • Supporting materials such as GitHub, case studies, or technical write-ups preferred


About HireScale

HireScale is redefining how people and organizations grow and work together. We connect companies with top-rated independent consultants to build agile, highly skilled and resilient teams; while also empowering talent to shape their own paths and align meaningful work with personal freedom and purpose. Our goal is a future where opportunity is open, work is self-directed, and everyone thrives.