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Senior Solutions Engineer Jobs in Springfield, VA

Seekr

Senior AI Solutions Engineer

Reston, VA · On-site

$57.50 - $74/hr

We are looking for talented AI Solutions Engineers to join our team and deliver generative and predictive capabilities for US Government customers. The right candidate will work on developing and ...

Okta

Solutions Engineer, Okta (Enterprise)

Washington, DC · On-site

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

The Solutions Engineer, Okta Opportunity Reporting to the Senior Manager of Solutions Engineers, the Solutions Engineer (Corporate/New Business) is a functional business consultant, with a passion ...

Seekr

Senior AI Solutions Engineer

Reston, VA · On-site

$57.50 - $74/hr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

We are looking for talented AI Solutions Engineers to join our team and deliver generative and predictive capabilities for US Government customers. The right candidate will work on developing and ...

Accenture LLP

Senior Solution Engineer

Arlington, VA · On-site

$106K - $221K/yr

Coordinate with technical teams to develop solutions for customer needs, ensuring proposed ... or Software Engineering. * Equivalent Training: Completion of one of the following accepted ...

Seekr

Senior AI Solutions Engineer

Reston, VA · On-site

$57.50 - $74/hr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

We are looking for talented AI Solutions Engineers to join our team and deliver generative and predictive capabilities for US Government customers. The right candidate will work on developing and ...

World Services LLC

Senior Solutions Architect

Washington, DC · On-site

$180K - $200K/yr

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

S. Citizenship Required Position Overview World Services LLC is seeking a Senior Solutions ... offices, engineering teams, and mission stakeholders. While some limited flexibility may be ...

Analytica

Senior Solutions Architect

Washington, DC · On-site

  • Medical

  • Retirement

Analytica is seeking a highly experienced Senior Solutions Architect to provide strategic technical ... Conduct comprehensive engineering analysis to identify operational risks associated with migration ...

Analytica

Senior Solutions Architect

Washington, DC · On-site

  • Medical

  • Retirement

Analytica is seeking a highly experienced Senior Solutions Architect to provide strategic technical ... Conduct comprehensive engineering analysis to identify operational risks associated with migration ...

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All JobsSolutions Engineer JobsSenior Solutions Engineer JobsSenior Solutions Engineer Jobs in Springfield, VA

Senior Solutions Engineer information

See Springfield, VA salary details

$11

$64

$89

How much do senior solutions engineer jobs pay per hour?

As of Aug 18, 2026, the average hourly pay for senior solutions engineer in Springfield, VA is $64.19, according to ZipRecruiter salary data. Most workers in this role earn between $55.48 and $71.54 per hour, depending on experience, location, and employer.

What is a senior solutions engineer?

Senior Solutions Engineers are experienced professionals who work closely with clients to understand their technical needs and design tailored solutions using their company's products or services. They act as a bridge between sales teams and technical teams, often providing pre-sales support, technical demonstrations, and post-sales implementation guidance. Senior Solutions Engineers use deep technical expertise and strong communication skills to solve complex business problems and ensure customer satisfaction. Their role often requires collaboration with product development, project management, and other stakeholders to deliver optimal solutions.

How does a senior solutions engineer typically collaborate with sales and product teams during the sales cycle?

A Senior Solutions Engineer plays a pivotal role in bridging the gap between technical and non-technical teams during the sales cycle. They work closely with sales representatives to understand client needs, deliver tailored product demonstrations, and address technical queries. Additionally, they liaise with product teams to relay customer feedback, influence product development, and ensure proposed solutions align with both client requirements and product capabilities. This collaborative approach ensures that solutions are both technically feasible and commercially viable, contributing to successful deal closures.

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

To thrive as a Senior Solutions Engineer, you need deep technical expertise in software architecture, strong problem-solving abilities, and a relevant degree in computer science or engineering. Familiarity with cloud platforms, API integration, pre-sales tools, and industry-standard certifications like AWS Certified Solutions Architect are typically expected. Exceptional communication, collaboration, and client-facing skills help you translate complex requirements and build strong relationships. These skills ensure that you can design effective solutions, align technical offerings with client needs, and drive successful implementation outcomes.

What is the difference between Senior Solutions Engineer vs Solutions Architect?

AspectSenior Solutions EngineerSolutions Architect
CredentialsTypically requires a bachelor’s degree in engineering, computer science, or related field; certifications like AWS, Azure, or Cisco are commonSimilar credentials; often holds certifications in cloud platforms and architecture frameworks
Work EnvironmentWorks closely with sales, engineering, and clients to implement solutions; often in a technical pre-sales or post-sales roleDesigns overall technical solutions and architecture; collaborates with sales, engineering, and clients during project planning
Industry UsageCommonly employed in tech, cloud, and software companies for technical support and implementationUsed across IT, cloud, and enterprise sectors for designing scalable and efficient systems

While both roles require technical expertise and certifications, Senior Solutions Engineers focus on implementing and supporting solutions, whereas Solutions Architects primarily design and plan the overall system architecture. The roles often overlap but differ in scope and focus within the project lifecycle.

How much does a senior solutions engineer earn?

A senior solutions engineer typically earns between $100,000 and $150,000 annually, depending on experience, location, and industry. They often have specialized skills in technical sales, software development, and customer support, which can influence compensation levels.

What do senior solutions engineers do?

Senior solutions engineers design, develop, and implement technical solutions to meet client needs, often working closely with sales and product teams. They analyze requirements, create demonstrations, and provide technical support, utilizing skills in coding, system architecture, and customer communication to ensure successful deployment and integration.

What cities near Springfield, VA are hiring for Senior Solutions Engineer jobs?

Cities near Springfield, VA with the most Senior Solutions Engineer job openings:

Senior Solutions Engineer jobs near you
Infographic showing various Senior Solutions Engineer job openings in Springfield, VA as of August 2026, with employment types broken down into 82% Full Time, 10% Part Time, 1% Temporary, and 7% Contract. Highlights an 73% Physical, 3% Hybrid, and 24% Remote job distribution, with an average salary of $133,516 per year, or $64.2 per hour.

Senior AI Solutions Engineer

Seekr

Reston, VA • On-site

$57.50 - $74/hr

Full-time

Re-posted 18 days ago

Job description

About the Opportunity: 

We are looking for talented AI Solutions Engineers to join our team and deliver generative and predictive capabilities for US Government customers.  The right candidate will work on developing and deploying AI/ML capabilities for various applications, implementing generative AI and integrating with predictive capabilities (agentic workflows, LLM fine-tuning).  Additionally, this person will be working on quick proof-of-concept solutions, but also building in a generalized fashion to support longer-term implementation.

From your first day, you will make a valuable contribution. We are a fast-growing company where no one is a bystander. We offer you the opportunity to make a meaningful impact for the US while designing and developing cutting-edge, novel capabilities.

Active US Security clearance or eligibility and willingness to obtain a US Security clearance. Top Secret with SCI eligibility highly preferred. 

Duties and Responsibilities: 

  • Design, implement, and deploy AI Solutions for USG customers 
  • Design and develop prototype solutions incorporating both generative and predictive capabilities
  • Innovate creative solutions, integrating generative and predictive capabilities to answer unique customer challenges
  • Design and develop interfaces and applications for customer utilization of AI solutions
  • Interact directly with customers and subject matter experts, translating AI/ML concepts into practical language
  • Support pre-sales efforts, identifying how the Seekr Platform could help satisfy customer requirements
  • Research and development on cutting-edge applications of generative AI and agentic capabilities

Qualifications and Skills: 

  • Undergraduate degree in a technical field with a strong background in the application of AI/ML 
  • Comfortable interacting with customers and subject matter experts, translating complex concepts into practical language and impacts
  • Capable of developing prototype solutions using common tools (e.g., FastAPI, React)
  • Familiar with generative AI concepts like RAG, prompt engineering, agents, structured output, multi-modal LLMs, and various embedding models
  • Strong programming skills in Python required. Experience in java and html a plus. 
  • Experience working with or in the DoD, US Intelligence Community, or US Federal Civilian agencies
  • Experience training and employing predictive AI models in a government context
  • Solid knowledge of LLM Frameworks such as LangChain, LlamaIndex, Transformers
  • Familiarity with common APIs, including OpenAI, GraphQL, FastAPI
  • Familiarity with Databases and Retrieval Augmented Generation (RAG) technologies such as Pinecone, FAISS, OpenSearch, and Neo4j
  • Familiar with Offensive or Defensive cybersecurity principles, including defensive best practices, threat intelligence, common control mechanisms, and Layer 2+ analysis and exploitation

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