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Sr Python Engineer Jobs in Richmond, TX (NOW HIRING)

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DB2 SQL Data Engineer

Houston, TX · On-site

3 days onsite, Houston TX Senior DB2 SQL Data Engineer We are seeking a Senior DB2 SQL Data ... Python, microservices, and VS Code IDE. Responsibilities: * Develop and maintain SQL stored ...

Nam Info Inc

Pytho Data Bricks Consultant

Houston, TX · On-site

Role Overview Our client, a major player in the energy sector, is seeking a senior independent ... Strong Python engineering skills (pandas, numpy; optimization libraries such as Pyomo, PuLP or ...

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Showing results 21-40

All JobsSr Python Engineer JobsSr Python Engineer Jobs in Richmond, TX

Sr Python Engineer information

See Richmond, TX salary details

$18.7K

$114K

$164.9K

How much do sr python engineer jobs pay per year?

As of Sep 6, 2026, the average yearly pay for sr python engineer in Richmond, TX is $113,997.00, according to ZipRecruiter salary data. Most workers in this role earn between $90,000.00 and $134,000.00 per year, depending on experience, location, and employer.

What does a Sr Python Engineer do?

A Sr Python Engineer is an experienced software developer who specializes in designing, developing, and maintaining applications using the Python programming language. They often lead projects, mentor junior engineers, and work on complex problems that require deep technical expertise. Their responsibilities may include writing efficient code, optimizing performance, integrating with APIs or databases, and ensuring the overall quality of software solutions. Additionally, they may collaborate with cross-functional teams to deliver robust and scalable applications.

What are the key skills and qualifications needed to thrive as a Sr Python Engineer?

To thrive as a Sr Python Engineer, you need advanced proficiency in Python programming, strong knowledge of software design patterns, and experience with scalable application development, often supported by a degree in computer science or related field. Familiarity with frameworks like Django or Flask, version control systems such as Git, and cloud platforms like AWS or Azure is typically required, with certifications in cloud or Python development considered a plus. Excellent problem-solving abilities, strong communication, and leadership skills help you collaborate effectively and mentor junior engineers. These competencies are critical for delivering robust, efficient solutions and driving technical excellence within development teams.

What are some common challenges Sr Python Engineers face when working on large-scale applications?

Sr Python Engineers often encounter challenges related to maintaining code quality and scalability as applications grow. Managing dependencies, ensuring optimal performance, and coordinating with cross-functional teams can be complex, especially in distributed systems. Additionally, integrating new technologies or frameworks while maintaining backward compatibility requires careful planning and communication. Proactive code reviews, clear documentation, and collaborative problem-solving are essential to overcoming these challenges.

What is the difference between Sr Python Engineer vs Python Developer?

AspectSr Python EngineerPython Developer
Required CredentialsBachelor's degree in CS or related field, experience in Python, often some leadership skillsBachelor's degree in CS or related field, strong Python skills, often less emphasis on leadership
Work EnvironmentTeam lead, project architect, involved in system design and optimizationCode writing, feature development, bug fixing
Employer & Industry UsageTech companies, startups, enterprise softwareWeb development, data analysis, automation projects

While both roles require strong Python skills, Sr Python Engineers typically have more experience, leadership responsibilities, and involvement in system architecture, whereas Python Developers focus more on coding and feature implementation.

What are popular job titles related to Sr Python Engineer jobs in Richmond, TX?

For Sr Python Engineer jobs in Richmond, TX, the most frequently searched job titles are:

What job categories do people searching Sr Python Engineer jobs in Richmond, TX look for?

The top searched job categories for Sr Python Engineer jobs in Richmond, TX are:

What cities near Richmond, TX are hiring for Sr Python Engineer jobs?

Cities near Richmond, TX with the most Sr Python Engineer job openings:

Sr Python Engineer jobs near you
Infographic showing various Sr Python Engineer job openings in Richmond, TX as of August 2026, with employment types broken down into 91% Full Time, 5% Part Time, and 4% Contract. Highlights an 85% Physical, 5% Hybrid, and 10% Remote job distribution, with an average salary of $113,997 per year, or $54.8 per hour.

Forward Deployed Engineer - Agentic AI - On site/hybrid

Talent Search PRO

Houston, TX • On-site

Full-time

Medical, Dental, Vision, Retirement, PTO

Posted 28 days ago

Job description

Forward Deployed Engineer - Agentic AI
Salary: $200,000 - $250,000 + Bonus
Why This Role?
  • Work on enterprise-scale GenAI and Agentic AI initiatives
  • Exposure to Fortune 2000 AI transformation programs
  • High visibility with executive stakeholders and enterprise clients
  • Strong compensation package with bonus eligibility
  • Medical, dental, vision, 401(k) match, paid parental leave, PTO, and disability coverage
About the Role
Seeking a Forward Deployed Engineer to help enterprise clients design, prototype, and scale GenAI and Agentic AI solutions. This role sits at the intersection of engineering, solution architecture, and executive-facing consulting.
You will work directly with senior business leaders and technical teams to rapidly build proof-of-value solutions, architect scalable AI systems, and accelerate enterprise AI adoption across complex environments.
This is a highly hands-on role focused on shipping real AI systems, not presentations.
Responsibilities
  • Partner with enterprise stakeholders to identify AI opportunities and define measurable business outcomes
  • Build rapid proof-of-value and MVP AI solutions using modern GenAI and agentic frameworks
  • Design scalable AI architectures including orchestration, governance, observability, and security controls
  • Develop AI workflows with tool integrations, enterprise data connectivity, and lightweight user experiences
  • Implement RAG architectures, vector search, retrieval strategies, and evaluation frameworks
  • Integrate AI solutions with enterprise platforms including AWS, Azure, GCP, Salesforce, SAP, ServiceNow, and Microsoft ecosystems
  • Support technical discovery sessions, workshops, demos, and executive presentations
  • Create reusable AI accelerators, templates, evaluation suites, and reference architectures
  • Collaborate with engineering, cloud, product, and delivery teams to transition solutions into production environments
Requirements
  • 8+ years of experience in software engineering, AI engineering, solution architecture, or technical consulting
  • Strong experience building enterprise GenAI or Agentic AI solutions
  • Experience with LLM orchestration, tool-calling, planning workflows, and human-in-the-loop systems
  • Hands-on experience with RAG pipelines, vector databases, embeddings, and retrieval evaluation
  • Strong full-stack engineering fundamentals including APIs, integrations, distributed systems, and cloud-native architectures
  • Proficiency in Python and at least one additional language such as TypeScript, Java, or Go
  • Experience with AWS, Azure, or GCP environments
  • Familiarity with CI/CD, containers, observability, and AI governance concepts
  • Strong communication skills with the ability to engage executive stakeholders
  • Bachelor's degree required
Preferred Background
  • Experience deploying production-grade GenAI systems
  • Consulting or client-facing engineering experience preferred
  • Exposure to AI governance, AgentOps, telemetry, and compliance frameworks
  • Experience within enterprise AI consulting or hyperscaler ecosystems is highly valued
  • Background supporting industries such as financial services, retail, manufacturing, hospitality, or healthcare is a plus
Additional Details
  • Full-time opportunity
  • Bonus eligible
  • Occasional travel required for workshops and client engagements
  • Sponsorship not available
  • Candidates should have fewer than 10 years of total experience preferred by the hiring team

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