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Automation Integration Jobs in Texas (NOW HIRING)

Automation Integrator III

Midland, TX · On-site

$41K/yr

Overview The primary responsibilities of this role include remotely troubleshooting automation ... Previous experience in an Integrated Operations Center or similar environment. * Proven track ...

Integration DevOps Lead

Dallas, TX · On-site

$52.25 - $71.50/hr

The ideal candidate will have a strong background in platform engineering, automation, integration technologies, and production support, with expertise in TIBCO and related integration ecosystems.

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Showing results 1-20

Automation Integration information

See Texas salary details

$34.5K

$99.8K

$151.9K

How much do automation integration jobs pay per year?

As of Jun 16, 2026, the average yearly pay for automation integration in Texas is $99,805.00, according to ZipRecruiter salary data. Most workers in this role earn between $80,600.00 and $115,100.00 per year, depending on experience, location, and employer.

What engineers make $500,000?

Senior automation engineers, especially those with extensive experience, specialized skills in robotics, control systems, or software integration, can earn $500,000 or more annually. High compensation often involves leadership roles, working in industries like manufacturing, aerospace, or technology, and may include bonuses or stock options.

What does an automation integrator do?

An automation integrator designs, develops, and implements automated systems that connect different hardware and software components to improve efficiency and productivity. They often work with control systems, robotics, and industrial equipment, using tools like PLCs and SCADA software, and require technical skills in programming and system troubleshooting.

What are the typical day-to-day responsibilities of an Automation Integration specialist?

On a daily basis, Automation Integration specialists are involved in designing and implementing automated solutions, integrating new hardware and software with existing systems, and troubleshooting any issues that arise. They often collaborate with engineers, IT teams, and production staff to ensure seamless operation of automated processes. Regular tasks include programming controllers, testing system functionality, documenting integration steps, and providing user support. This role frequently requires adapting to new technologies and ensuring that automation aligns with both operational goals and safety standards.

What are the key skills and qualifications needed to thrive in the Automation Integration position, and why are they important?

A successful Automation Integration professional needs a solid background in programming, systems integration, and process automation, usually supported by a degree in engineering, computer science, or a related field. Familiarity with tools such as programmable logic controllers (PLCs), SCADA systems, industrial networking, and certifications like ISA or relevant vendor credentials is highly beneficial. Strong problem-solving skills, adaptability, and effective communication help individuals excel when collaborating with cross-functional teams. These capabilities are important for successfully designing, deploying, and maintaining automated solutions that improve operational efficiency.

What engineers make $300,000 a year?

Senior automation engineers, especially those with expertise in industrial control systems, robotics, or software integration, can earn $300,000 or more annually, often in high-demand industries like manufacturing, aerospace, or technology. Achieving this salary typically requires extensive experience, advanced certifications, and proficiency with tools such as PLCs, SCADA systems, or programming languages like Python or C++.

What is an Automation Integration job?

An Automation Integration job involves designing, developing, and maintaining automated systems that integrate different software, tools, or processes within an organization. Professionals in this role ensure seamless communication between systems, improving efficiency and reducing manual effort. They work with APIs, scripting, and middleware to connect applications, optimize workflows, and troubleshoot integration challenges. This role requires a strong understanding of automation tools, coding languages, and system architecture.

Which 3 jobs will survive AI?

Automation Integration professionals, software developers, and data analysts are likely to continue thriving as AI automates routine tasks. These roles require complex problem-solving, creativity, and specialized technical skills that are less easily replaced by AI. Continuous learning and expertise in tools like programming languages and machine learning enhance job security in these fields.
AI Architect for Automation Delivery - BFS (Remote)

AI Architect for Automation Delivery - BFS (Remote)

Cognizant Technology Solutions

Dallas, TX • On-site, Remote

Full-time

Posted 3 days ago


Cognizant rating

7.5

Company rating: 7.5 out of 10

Based on 83 frontline employees who took The Breakroom Quiz

37th of 57 rated business consultants


Job description

The Cognizant Automation practice delivers enterprise-grade AI, Machine Learning, GenAI, Agentic AI, Smart Data Intake, and Intelligent Automation solutions across mission-critical business and IT processes. We are seeking a highly technical AI Architect for Automation Delivery to drive the design, engineering, and implementation of scalable AI automation programs for a North America-based client, with a strong focus on Banking and Financial Services (BFS) environments.
This role is deeply execution-oriented and requires strong architectural judgment, hands-on delivery leadership, and the ability to translate business needs into robust, production-ready AI systems. The Engagement Lead will own the technical roadmap, solution architecture, delivery governance, and operationalization of AI and automation solutions at scale, ensuring alignment with BFS regulatory, risk, and operational requirements.
Key Responsibilities:
AI-Led Automation Architecture
• Lead the end-to-end architecture of AI/ML/GenAI/Agentic AI solutions-including model selection, data pipelines, orchestration layers, integration patterns, and deployment architecture-tailored for BFS use cases such as KYC/AML, fraud detection, credit decisioning, servicing, and regulatory reporting
• Define reference architectures, reusable frameworks, and engineering standards for automation and AI workloads across financial operations
• Architect solutions using cloud AI services (Azure OpenAI, AWS Bedrock, GCP Vertex), IPA platforms (UiPath, Power Platform), and custom Python-based pipelines, ensuring compatibility with core banking systems, payment platforms, and risk engines
• Conduct technical feasibility assessments, including data availability, model readiness, integration constraints, and infrastructure requirements within regulated BFS environments
• Ensure solutions meet enterprise standards for security, scalability, observability, compliance, responsible AI, and BFS-specific model risk management expectations
• Own the technical delivery lifecycle: requirements, solution design, development oversight, testing, deployment, and hypercare
• Guide engineering teams on model training, prompt engineering, RAG pipelines, vector databases, orchestration frameworks, and automation workflows supporting high-volume financial processes
• Oversee creation of APIs, microservices, connectors, and integration layers to embed AI into enterprise systems such as core banking, CRM, and data platforms
• Implement CI/CD pipelines, MLOps practices, and automation deployment frameworks aligned with BFS governance and auditability needs
• Drive performance tuning, model evaluation, monitoring, and continuous improvement of deployed AI systems
• Establish AI governance and AI strategy including model lifecycle management, versioning, auditability, and risk controls consistent with BFS regulatory expectations
• Serve as the primary technical advisor to client architects, product owners, and engineering leaders, supporting adoption and operationalization of AI solutions across financial operations
• Lead AI programs, driving alignment between business stakeholders, technical teams, and delivery partners, with experience navigating BFS risk, compliance, and operational constraints
Required Skills & Qualifications
AI/ML/GenAI Technical Expertise • Strong practitioner experience designing and implementing AI/ML pipelines, GenAI solutions, RAG architectures, and agent-based systems • Hands-on experience with cloud AI platforms: o Azure AI / Azure OpenAI o AWS AI/ML stack o GCP Vertex AI • Experience with vector databases (Pinecone, FAISS, Chroma, Redis), embeddings, prompt engineering, and LLM orchestration frameworks • Proficiency in Python, API development, microservices, and automation frameworks
Candidate Background The ideal candidate brings a strong development and technical background, with hands-on experience in modern engineering stacks such as Python, Java, .NET, and related frameworks. A deep understanding of scalable architecture and clean coding practices is essential, along with experience delivering AI or automation solutions within regulated financial institutions.
Automation & Integration Experience • Strong understanding of workflow orchestration, event-driven architectures, and enterprise integration patterns • Experience integrating AI with core systems (policy admin, claims, CRM, data lakes, APIs), including BFS platforms such as core banking, payments, lending, and risk systems
Architecture & Delivery Leadership • Proven ability to lead large-scale AI automation delivery programs with complex technical dependencies • Strong background in MLOps, DevOps, CI/CD, model monitoring, and production deployment • Experience conducting architecture reviews, threat modeling, and performance optimization • Ability to create technical roadmaps, solution blueprints, and engineering playbooks
Cognizant will only consider applicants for this position who are legally authorized to work in the United States without requiring company sponsorship now or at any time in the future.
About Cognizant:
Cognizant (Nasdaq: CTSH) is an AI Builder and technology services provider, bridging the gap between AI investment and enterprise value by building full-stack AI solutions for our clients. Our deep industry, process and engineering expertise enables us to build an organization's unique context into technology systems that amplify human potential, drive tangible outcomes and keep global enterprises ahead in a fast-changing world. See how at cognizant.ai or @cognizant.
Additional employment information
Compensation information is accurate as of the date of this posting. Cognizant reserves the right to modify this information at any time, subject to applicable law.
Applicants may be required to attend interviews in person or by video conference. In addition, candidates may be required to present their current state or government issued ID during each interview.
Cognizant is an equal opportunity employer. Your application and candidacy will not be considered based on race, color, sex, religion, creed, sexual orientation, gender identity, national origin, disability, genetic information, pregnancy, veteran status or any other characteristic protected by federal, state or local laws.
If you have a disability that requires reasonable accommodation to search for a job opening or submit an application, please email [email protected] for roles based in the Americas or [email protected] for roles based in India.

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