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Solution Engineer Jobs in Allen, TX (NOW HIRING)

Solutions Engineer

Irving, TX · On-site

  • Medical

  • Retirement

  • PTO

The Solution Engineer's primary responsibility is to partner with the Sales Team to uncover and understand customer requirements and propose solutions using Birdeye's reputation management platform.

Presales / Solution Engineering - Director / VP Locatio: Dallas, TX(Hybrid) Employment Type: Full time to QualiZeal ROLE OVERVIEW QualiZeal is looking for a seasoned C-level executive to lead pre ...

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Solution Engineer information

See Allen, TX salary details

$41.4K

$114.7K

$168.8K

How much do solution engineer jobs pay per year?

As of Aug 16, 2026, the average yearly pay for solution engineer in Allen, TX is $114,675.00, according to ZipRecruiter salary data. Most workers in this role earn between $94,400.00 and $130,700.00 per year, depending on experience, location, and employer.

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

To thrive as a Solution Engineer, you need a strong technical background in software engineering or IT, analytical problem-solving abilities, and typically a relevant degree or certifications. Familiarity with CRM systems, cloud platforms, APIs, and tools like Salesforce or AWS is often required. Excellent communication, presentation, and collaboration skills help you effectively translate client needs into technical solutions. These competencies ensure that you can design, demonstrate, and implement solutions that meet client requirements and drive business success.

What is the difference between Solution Engineer vs Sales Engineer?

AspectSolution EngineerSales Engineer
Required CredentialsBachelor's in Engineering, Computer Science, or related field; technical certificationsBachelor's in Engineering, Computer Science, or related field; technical certifications
Work EnvironmentTechnical teams, product development, client supportSales teams, client meetings, product demonstrations
Employer & Industry UsageTech companies, SaaS providers, hardware firmsSoftware vendors, tech companies, hardware providers
Common Search & ComparisonOften compared due to overlapping technical skills and client interactionRelated but more sales-focused role

Solution Engineers and Sales Engineers share technical backgrounds and work closely with clients, but Solution Engineers focus more on technical solutions and product implementation, while Sales Engineers emphasize sales support and client demonstrations. Both roles require strong technical skills and industry knowledge, but their primary objectives differ—one is solution-focused, the other sales-driven.

How do solution engineers typically collaborate with sales and technical teams during the sales cycle?

Solution Engineers play a pivotal role in bridging the gap between sales and technical teams. During the sales cycle, they often work closely with sales representatives to understand client requirements, deliver technical presentations, and tailor demonstrations to showcase how a product meets specific business needs. They also engage with product and engineering teams to address feasibility concerns, customize solutions, and ensure proposed implementations are technically sound. This collaborative environment requires strong communication skills, adaptability, and the ability to translate complex technical concepts for both technical and non-technical stakeholders.

What is a solution engineer?

A Solution Engineer is a professional who bridges the gap between technical and business teams by designing, presenting, and implementing technology solutions tailored to a client's needs. They work closely with sales teams to understand customer requirements and demonstrate how products or services can solve specific business problems. Solution Engineers often provide technical expertise during the pre-sales process, create proof-of-concepts, and ensure smooth integration of solutions. Their role requires strong communication, problem-solving, and technical skills to translate complex concepts into practical solutions.

What are popular job titles related to Solution Engineer jobs in Allen, TX?

For Solution Engineer jobs in Allen, TX, the most frequently searched job titles are:

What job categories do people searching Solution Engineer jobs in Allen, TX look for?

The top searched job categories for Solution Engineer jobs in Allen, TX are:

What cities near Allen, TX are hiring for Solution Engineer jobs?

Cities near Allen, TX with the most Solution Engineer job openings:

Infographic showing various Solution Engineer job openings in Allen, TX as of August 2026, with employment types broken down into 87% Full Time, 7% Part Time, and 6% Contract. Highlights an 86% Physical, 5% Hybrid, and 9% Remote job distribution, with an average salary of $114,675 per year, or $55.1 per hour.

AI Solution Engineer, SLED for North America

NTT DATA Services

Plano, TX • Remote

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted yesterday


NTT Data rating

7.4

Company rating: 7.4 out of 10

Based on 92 frontline employees who took The Breakroom Quiz

118th of 224 rated it services


Job description

Req ID: 375008 

NTT DATA strives to hire exceptional, innovative and passionate individuals who want to grow with us. If you want to be part of an inclusive, adaptable, and forward-thinking organization, apply now.

We are currently seeking a AI Solution Engineer, SLED for North America to join our team in Plano, Texas (US-TX), United States (US).

We are seeking an experienced AI Engineer to design, build, test, and deploy artificial intelligence, machine learning, and generative AI solutions across industries. This role will work with solution architects, industry SMEs, and client stakeholders to turn AI opportunities into working solutions that are scalable, secure, reusable, and aligned to business outcomes.

The ideal candidate is a hands-on engineer with strong experience across AI application development, data pipelines, model integration, cloud services, APIs, automation, and modern software engineering practices. This person should be comfortable contributing to client delivery, internal accelerators, reusable assets, proofs of concept, demos, and technical content that support both sales and implementation efforts.

This role is well suited for someone who can move from experimentation to production-minded engineering, balancing speed, technical quality, responsible AI practices, and business value.

Location:  Remote role to be located in the United States

Key Responsibilities

  • Design, develop, and implement AI and generative AI solutions across primarily healthcare, life science and public sector domains.
  • Build AI-enabled applications, services, APIs, copilots, chat interfaces, workflow automations, dashboards, and decision-support tools.
  • Develop solutions using modern AI engineering patterns, including retrieval-augmented generation, embeddings, vector search, prompt engineering, model orchestration, agentic workflows, natural language processing, document intelligence, predictive analytics, and machine learning.
  • Partner with solution architects, data scientists, cloud engineers, software developers, and business stakeholders to translate requirements into technical designs and working solutions.
  • Build and maintain data pipelines, integration services, feature preparation workflows, knowledge bases, and model-ready datasets.
  • Integrate AI models and services from major cloud providers, commercial model providers, open-source frameworks, and enterprise platforms.
  • Create proofs of concept, prototypes, demos, and technical assets that validate feasibility, demonstrate business value, and support client conversations.
  • Support the sales cycle by contributing to demo environments, technical walkthroughs, proposal content, estimates, and reusable solution components.
  • Develop reusable accelerators, code libraries, templates, prompt assets, deployment patterns, and implementation playbooks.
  • Apply responsible AI practices, including model evaluation, guardrails, privacy controls, bias testing, explainability, monitoring, auditability, and human-in-the-loop design.
  • Collaborate with security, privacy, legal, compliance, and architecture teams to ensure AI solutions meet enterprise and client requirements.
  • Participate in testing, debugging, performance tuning, deployment, documentation, and operational handoff.
  • Stay current on emerging AI technologies, frameworks, tools, and engineering practices, and translate relevant innovations into practical solutions.

Qualifications: 

  • Bachelor’s degree in computer science, information systems, engineering, data science, analytics, or a related field, or equivalent practical experience.
  • 6+ years of experience in software engineering, data engineering, AI engineering, machine learning engineering, analytics engineering, or technical consulting.
  • Hands-on experience building AI, machine learning, generative AI, analytics, automation, or data-driven applications.
  • Practical experience with generative AI patterns such as prompt engineering, retrieval-augmented generation, embeddings, vector databases, LLM integration, model evaluation, and API-based model orchestration.
  • Proficiency in Python and SQL, with experience using common data, AI, and application development libraries or frameworks.
  • Experience with at least one major cloud platform such as Azure, AWS, or Google Cloud.
  • Experience working with APIs, databases, data pipelines, structured data, unstructured data, and enterprise integration patterns.
  • Familiarity with software engineering practices such as Git, CI/CD, testing, code review, documentation, containerization, and deployment.
  • Ability to build technically credible solutions while communicating clearly with both technical and non-technical audiences.
  • Strong collaboration skills and ability to work with cross-functional teams in consulting, client delivery, product, or enterprise technology environments.

Required Qualifications

  • Bachelor’s degree in computer science, information systems, engineering, data science, analytics, or a related field, or equivalent practical experience.
  • 6+ years of experience in software engineering, data engineering, AI engineering, machine learning engineering, analytics engineering, or technical consulting.

About NTT DATA

NTT DATA is a $30 billion business and technology services leader, serving 75% of the Fortune Global 100. We are committed to accelerating client success and positively impacting society through responsible innovation. We are one of the world's leading AI and digital infrastructure providers, with unmatched capabilities in enterprise-scale AI, cloud, security, connectivity, data centers and application services. our consulting and Industry solutions help organizations and society move confidently and sustainably into the digital future. As a Global Top Employer, we have experts in more than 50 countries. We also offer clients access to a robust ecosystem of innovation centers as well as established and start-up partners. NTT DATA is a part of NTT Group, which invests over $3 billion each year in R&D.

Where required by law, NTT DATA provides a reasonable range of compensation for specific roles. The starting pay range for this remote role is $151,400 - $202,500. This range reflects the minimum and maximum target compensation for the position across all US locations. Actual compensation will depend on a number of factors, including the candidate’s actual work location, relevant experience, technical skills, and other qualifications. This position may also be eligible for incentive compensation based on individual and/or company performance. This position is eligible for company benefits that will depend on the nature of the role offered. Company benefits may include medical, dental, and vision insurance, flexible spending or health savings account, life and AD&D insurance, short and long term disability coverage, paid time off, employee assistance, participation in a 401k program with company match, and additional voluntary or legally-required benefits.

Whenever possible, we hire locally to NTT DATA offices or client sites. This ensures we can provide timely and effective support tailored to each client’s needs. While many positions offer remote or hybrid work options, these arrangements are subject to change based on client requirements. For employees near an NTT DATA office or client site, in-office attendance may be required for meetings or events, depending on business needs. At NTT DATA, we are committed to staying flexible and meeting the evolving needs of both our clients and employees. NTT DATA recruiters will never ask for payment or banking information and will only use @nttdata.com and @talent.nttdataservices.com email addresses. If you are requested to provide payment or disclose banking information, please submit a contact us form, https://us.nttdata.com/en/contact-us.

NTT DATA endeavors to make https://us.nttdata.com accessible to any and all users. If you would like to contact us regarding the accessibility of our website or need assistance completing the application process, please contact us at https://us.nttdata.com/en/contact-us. This contact information is for accommodation requests only and cannot be used to inquire about the status of applications. NTT DATA is an equal opportunity employer. Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability or protected veteran status. For our EEO Policy Statement, please click here. If you'd like more information on your EEO rights under the law, please click here. For Pay Transparency information, please click here.


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About NTT DATA

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NTT DATA Services is a global business and IT services provider specializing in digital, cloud and automation across a comprehensive portfolio of consulting, applications, infrastructure and business process services. We are part of the NTT family of companies, a partner to 85 % of the Fortune 100.

Industry

It services

Company size

10,000+ Employees

Headquarters location

Plano, TX, US

Year founded

1967