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Technical Solutions Engineer Jobs in Texas (NOW HIRING)

Hillwood

AI Solutions Engineer

Dallas, TX

Technical Solution Design and Engineering: * Partner with AI business solution leads to translate approved business requirements, success metrics, and pilot criteria into technical solution designs ...

Apex Fintech Solutions

Solutions Engineer

Austin, TX · On-site

... a skilled and dynamic Solutions Engineer to design and implement cutting-edge technological ... As a technical voice for Apex, this individual will provide expertise and leadership in ...

Visa

Sr. Consultant, Technical Solutions

Austin, TX · Hybrid

... Technical Solutions is responsible for serving as a trusted technical advisor and solution ... This role works closely with Product, Engineering, Client Services, Operations, and external ...

Apex Fintech Solutions LLC

Solutions Engineer

Austin, TX · On-site

$89.09 - $111.36/hr

... a skilled and dynamic Solutions Engineer to design and implement cutting-edge technological ... As a technical voice for Apex, this individual will provide expertise and leadership in ...

NetApp, Inc.

Senior Solutions Engineer - Dallas

Addison, TX · On-site

$53.50 - $69/hr

As an Enterprise Solutions Engineer, you'll serve as the trusted technical advisor across a diverse enterprise territory, partnering closely with two Enterprise Client Executives to develop account ...

NetApp

Senior Solutions Engineer - Dallas

Addison, TX · Remote

$53.50 - $69/hr

As an Enterprise Solutions Engineer, you'll serve as the trusted technical advisor across a diverse enterprise territory, partnering closely with two Enterprise Client Executives to develop account ...

DevRev

Partner Solutions Engineer

Austin, TX · On-site

Role Overview The Partner Solutions Engineer (PSE) at DevRev is a customer-obsessed technical ... You will serve as the technical bridge between DevRev and our ecosystem of resellers, OEMs, system ...

Digital Realty

Sr. Global Solutions Engineer

Dallas, TX · On-site

$54.75 - $70.50/hr

Lead technical engagement with customers, including site tours, sales calls, solution design, pricing support, and contract negotiations * Act as the central hub for technical and engineering ...

Digital Realty

Sr. Global Solutions Engineer

Dallas, TX · On-site

$54.75 - $70.50/hr

Lead technical engagement with customers, including site tours, sales calls, solution design, pricing support, and contract negotiations * Act as the central hub for technical and engineering ...

NobleAI

Solutions Engineer

Houston, TX · On-site +1

$200K - $215K/yr

We're seeking a Solutions Engineer to join our team in the greater Houston area. This role will ... Ensure successful customer delivery through various technical and support activities * Travel to ...

NobleAI

Solutions Engineer

Houston, TX · On-site +1

$200K - $215K/yr

We're seeking a Solutions Engineer to join our team in the greater Houston area. This role will ... Ensure successful customer delivery through various technical and support activities * Travel to ...

Phoenix Contact

Solutions Engineer

Houston, TX · On-site

Job Summary Solution Engineer I (SE) serve as strategic technical consultants and project leaders, supporting Automation Solutions sales, applied system development, and project initiatives across ...

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Showing results 21-40

All JobsTechnical Solutions Engineer JobsTechnical Solutions Engineer Jobs in Texas

Technical Solutions Engineer information

See Texas salary details

$60.1K

$107.7K

$142.1K

How much do technical solutions engineer jobs pay per year?

As of Sep 3, 2026, the average yearly pay for technical solutions engineer in Texas is $107,667.00, according to ZipRecruiter salary data. Most workers in this role earn between $89,000.00 and $132,800.00 per year, depending on experience, location, and employer.

What is a technical solutions engineer?

A Technical Solutions Engineer is a professional who works at the intersection of technology and customer support, helping clients implement, troubleshoot, and optimize technical products or services. They often collaborate with engineering, sales, and customer support teams to resolve complex technical issues and ensure customer satisfaction. Technical Solutions Engineers may also provide product demonstrations, technical documentation, and training for clients. Their goal is to bridge the gap between customer needs and technical solutions, ensuring that products function effectively in real-world scenarios.

What is a technical solutions engineer?

A technical solutions engineer helps resolve customer issues with software or another technology product. As a technical solutions engineer, your job duties relate to the user aspects of a product or service. You interact with customers by walking them through the installation process, instructing them on how to operate the technology, and resolving any compatibility issues. You also collaborate with software and hardware development teams as needed to provide customer feedback. To succeed in this career, you need intimate knowledge of the product or service you work with as well as strong communication skills. Educational qualifications include a bachelor's degree in computer science, IT, or a related technical field. Experience with programming languages and troubleshooting tools is a plus.

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

To thrive as a Technical Solutions Engineer, you need a solid background in computer science or engineering, strong problem-solving abilities, and experience with troubleshooting software or hardware issues. Familiarity with programming languages, cloud platforms, customer support systems, and relevant certifications like AWS Certified Solutions Architect are typically required. Excellent communication, teamwork, and customer service skills help you translate complex technical concepts for diverse audiences and resolve issues efficiently. These skills ensure you can deliver effective solutions, foster customer satisfaction, and support business goals in a technical environment.

How does a technical solutions engineer typically collaborate with cross-functional teams to resolve client issues?

Technical Solutions Engineers often work closely with product managers, software developers, and customer support teams to address client challenges. When a complex technical issue arises, they act as a liaison, translating customer needs into actionable tasks and ensuring a coordinated response. This collaborative environment not only helps in promptly resolving problems but also provides valuable feedback to improve products and services. Their role is pivotal in balancing technical expertise with strong communication skills to bridge gaps between clients and internal teams.

What is the difference between Technical Solutions Engineer vs Technical Support Engineer?

AspectTechnical Solutions EngineerTechnical Support Engineer
Required CredentialsBachelor's in Engineering, Computer Science, or related field; certifications like Cisco, AWSAssociate's or Bachelor's; certifications vary, often vendor-specific
Work EnvironmentPre-sales, client consultations, solution design, implementationPost-sales support, troubleshooting, issue resolution
Employer & Industry UsageTech companies, SaaS providers, hardware vendorsIT service providers, software companies, hardware vendors

The Technical Solutions Engineer focuses on designing and implementing solutions for clients, often working closely with sales teams. In contrast, the Technical Support Engineer primarily handles troubleshooting and resolving technical issues after deployment. Both roles require technical knowledge, but their focus and responsibilities differ significantly.

How much do technical solutions engineers make in the US?

Technical Solutions Engineers in the US typically earn a median annual salary of around $80,000 to $110,000, depending on experience, location, and industry. Entry-level positions may start lower, while experienced engineers with specialized skills or certifications can earn higher salaries, often supplemented with bonuses and benefits.
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Technical Solutions Engineer jobs near you
Infographic showing various Technical Solutions Engineer job openings in Texas as of August 2026, with employment types broken down into 85% Full Time, 10% Part Time, and 5% Contract. Highlights an 81% Physical, 3% Hybrid, and 16% Remote job distribution, with an average salary of $107,667 per year, or $51.8 per hour.

AI Solutions Engineer

Hillwood Investment Properties

Dallas, TX • On-site

Full-time

Posted 7 days ago

Job description

Company Overview:
Hillwood, a Perot Company, is a premier real estate investment and development company founded on a culture of integrity, respect, excellence and teamwork. The company is a full-service real estate developer, investor and advisor focused on developing opportunities for investors, partners and communities around the world. See additional details at www.hillwood.com.
Position Summary:
Hillwood IT is seeking a hands-on AI Solutions Engineer to join our growing in-house IT team in Dallas, TX and help build the technical foundation for Hillwood's enterprise AI capability. This role is responsible for converting approved business use cases into secure, reliable, production-grade GenAI solutions, automations, agents, integrations, and RAG-enabled applications that deliver measurable business value.
The AI Solutions Engineer will partner closely with AI Business Solutions Engineers, division stakeholders, IT architecture, security, data teams, and governance groups to transform approved AI opportunities into scalable production solutions. This is not a research-only or advisory role. Success is defined by delivering AI solutions that are technically sound, supportable, and trusted by business users while establishing reusable patterns that enable AI capabilities to scale across Hillwood. The ideal candidate is motivated by the opportunity to build more than isolated tools. This individual will help create the technical foundation, standards, and solution patterns that allow AI to become a trusted, repeatable, and high-value capability across the organization.
Responsibilities:
Technical Solution Design and Engineering:
  • Partner with AI business solution leads to translate approved business requirements, success metrics, and pilot criteria into technical solution designs and solutions.
  • Design and build production-grade GenAI applications, automations, agents, and RAG-enabled workflows for approved business use cases.
  • Create technical designs suitable for Architecture Review Board (ARB), security, and production readiness review.
  • Develop reusable solution patterns, templates, and implementation standards that can be applied across multiple use cases and divisions.
  • Balance speed of delivery with reliability, maintainability, and enterprise supportability.

GenAI Solution Development and Delivery:
  • Build, iterate, and deliver production-grade GenAI solutions for approved Horizon 1 use cases.
  • Design and implement agentic workflows using orchestration frameworks and multi-step agents that perform real actions.
  • Integrate AI solutions with Hillwood's existing technology stack, including Claude API, ChatGPT, Copilot, Azure Functions, Power Automate, JDE, Yardi, Salesforce, SharePoint, Medius, Databricks, and other enterprise platforms.
  • Develop APIs, Azure Functions, workflow automations, backend services, data connectors, and application components required to operationalize AI solutions.
  • Own technical solution quality, including prompt engineering, structured outputs, output validation, error handling, evaluation, logging, monitoring, and reliability for business-critical use.
  • Develop AI coding assistant support and CI/CD pipeline integrations for enterprise environments.
  • Operate within Hillwood's risk-tier governance framework, ensuring ARB review and lifecycle gates for Medium and High-risk solutions.

RAG, Document Intelligence, and AI Platform Patterns:
  • Implement Retrieval-Augmented Generation (RAG) pipelines, document intelligence workflows, structured extraction workflows, and contextual intelligence patterns.
  • Build and maintain reusable components for document parsing, chunking, metadata enrichment, embeddings, retrieval, citations, validation, and source traceability.
  • Support the creation of technical standards for prompts, tools, agents, evaluators, test datasets, and deployment patterns.
  • Partner with data teams to connect AI workflows to enterprise data platforms, reporting layers, and business systems.

Stakeholder Partnership and Pilot Governance Support:
  • Support discovery, scoping, and prioritization by advising on technical feasibility, implementation complexity, dependencies, risks, and support needs.
  • Support Steering Committee, division leadership, and ARB presentations by preparing technical architecture, demo environments, implementation status, risk considerations, and production readiness inputs.
  • Partner with Division AI Champions and business stakeholders to ensure solutions are usable, explainable, and aligned to business workflows.
  • Prepare or contribute to technical documentation, support readiness assessments, adoption materials, and scale recommendations.
  • Communicate technical concepts clearly to non-technical stakeholders when needed, while partnering with AI business solution leads on executive framing and ROI narratives.

Required Skills and Abilities:
  • Ability to design, build, and support GenAI solutions, including LLM integration, prompt engineering, structured outputs, and Retrieval-Augmented Generation (RAG) pipelines.
  • Strong hands-on engineering capability using Python, REST APIs, Azure services, workflow automation tools, and enterprise integration patterns.
  • Ability to design and implement agent-based and multi-step workflows, including orchestration and execution of real business actions.
  • Ability to build reliable AI systems with validation, testing, observability, error handling, security awareness, and production supportability.
  • Ability to translate business-approved requirements into technical implementation plans, architecture diagrams, build tasks, and deployment plans.
  • Demonstrated ability to apply delivery discipline, including pilot gate methodology, documentation standards, quality validation, and lifecycle governance.
  • Ability to collaborate cross-functionally with business leaders, AI champions, governance bodies, IT architecture, security, and data teams to drive successful outcomes.
  • Proficiency in Python for LLM integration, API development, automation scripting, data processing, and evaluation workflows.

Education and Experience:
  • Bachelor's degree in Computer Science, Information Systems, Engineering, Data Science, or related field.
  • Demonstrated delivery of production-grade GenAI solutions used by real business users.
  • Hands-on experience designing and building multi-step, agentic workflows using orchestration frameworks.
  • Experience with at least one major LLM platform (Claude, OpenAI, Azure OpenAI, or equivalent), including prompt engineering, function calling, and structured outputs.
  • Experience developing Retrieval-Augmented Generation (RAG) solutions and contextual intelligence pipelines.
  • Experience building APIs, cloud functions, workflow automations, data integrations, or backend services in an enterprise environment.
  • Azure platform experience, including Azure Functions, Logic Apps, Azure AI Studio, Azure OpenAI Service, Azure AI Search, or related services, preferred.
  • Experience with Power Automate or similar low-code workflow tools, preferred.
  • Experience with vector databases, document intelligence pipelines, or advanced RAG architectures, strongly preferred.
  • Exposure to enterprise data platforms and business systems such as Databricks, Power BI, JDE, Yardi, Salesforce, SharePoint, or Medius, a plus.
  • Familiarity with real estate, property management, financial services, lease management, AP automation, or property operations, a plus.
  • Consulting, internal innovation, or client-facing delivery experience is helpful, but deep hands-on delivery ownership is more important for this technical role.

What Success Looks Like:
  • You are the person who turns approved AI opportunities into reliable, production-ready technical applications and business solutions.
  • You build the technical foundation that allows Hillwood to reuse and scale AI capabilities across divisions.
  • You earn trust through demonstrated value, clear communication, strong engineering discipline, and reliable solutions that work the first time.
  • You are comfortable operating in ambiguity, energized by real-world business challenges, and focused on shipping solutions that scale.
  • You grow into a technical owner for Hillwood's enterprise AI patterns, solution accelerators, integrations, evaluation practices, and production support standards.

EEO Statement:
Hillwood is committed to providing Equal Opportunity in Employment, to all applicants and employees regardless of race, color, religion, gender, age, national origin, military status, veteran status, handicap, physical or mental disability, sexual orientation, gender identity, genetic information or any other characteristic protected by law.
Equal Opportunity Employer
This employer is required to notify all applicants of their rights pursuant to federal employment laws.
For further information, please review the Know Your Rights notice from the Department of Labor.

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