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Python Architect Jobs (NOW HIRING)

In the assigned Job Role of Architecture Consultant 2, your Area Of Responsibility will be as below ... Python Preferred Skill and ExperienceAdditional Required Qualifications * Bachelor's degree or ...

AI Architect Location: San Jose, CA***Hybrid 3 Days in a Week*** Duration: 1 Years Job Summary ... Develop and maintain end-to-end software applications using Python and other modern frameworks.

Architect

Tampa, FL ยท On-site

Lead the design, development, and deployment of Python and Generative AI solutions, including ... Architect and implement scalable AI/ML workflows, managing the end-to-end lifecycle of models from ...

DevSecOps Architect Location: REMOTE Duration: 6+ Months/Fulltime Interview Process: 1 Round Client ... Deep development experience with Terraform, Python, Packer, Docker, Jenkins, Bash * AWS Core ...

DevSecOps Architect Location: REMOTE Duration: 6+ Months/Fulltime Interview Process: 1 Round Client ... Deep development experience with Terraform, Python, Packer, Docker, Jenkins, Bash * AWS Core ...

In the assigned Job Role of Architecture Consultant 2, your Area Of Responsibility will be as below: โ€ข Participate in customer discussions to gather and analyze system requirements for performance ...

GEN AI Architect Location: Charlotte, NC(Onsite) Job Type: Full Time Worked on Agentic AI Wokrflows ... at Python, LLM prompting, Azure OpenAI service, and other Gen AI related Azure services such as ...

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Python Architect information

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How much do python architect jobs pay per hour?

As of Sep 13, 2026, the average hourly pay for python architect in the United States is $71.58, according to ZipRecruiter salary data. Most workers in this role earn between $68.75 and $81.49 per hour, depending on experience, location, and employer.

What is a Python Architect?

A Python Architect is a senior-level software professional responsible for designing, developing, and optimizing Python-based applications and systems. They create scalable architectures, define best practices, and ensure high performance and maintainability. They also collaborate with developers, DevOps engineers, and stakeholders to align technical solutions with business goals. Additionally, they evaluate emerging technologies and provide guidance on code standards and system integrations.

What are the typical daily responsibilities of a Python Architect?

A Python Architect spends much of their day designing the architecture of complex applications, reviewing code for scalability and maintainability, and setting technical standards for the development team. They often collaborate with stakeholders to translate business requirements into technical solutions, mentor developers, and troubleshoot high-level issues. Additionally, Python Architects participate in technology selection and oversee the integration of new frameworks or tools. This role requires a blend of hands-on coding, strategic planning, and ongoing team leadership, making each day both diverse and challenging.

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

To thrive as a Python Architect, you need deep expertise in Python programming, software design principles, and extensive experience in architecting scalable, secure solutions. Familiarity with frameworks like Django or Flask, proficiency with cloud technologies (such as AWS or Azure), and certifications in cloud architecture or related technologies are highly beneficial. Outstanding communication, leadership, and collaborative problem-solving skills set standout candidates apart in this role. These competencies equip Python Architects to design robust enterprise systems and effectively lead development teams in dynamic environments.

Which Python Architect job is in demand?

Python Architect roles are in high demand across industries such as finance, healthcare, and technology, especially in organizations focusing on scalable backend systems, cloud integration, and data processing. Candidates with expertise in Python frameworks, cloud platforms like AWS or Azure, and experience with microservices architecture are particularly sought after. Certifications in Python development or cloud services can enhance job prospects.
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Infographic showing various Python Architect job openings in the United States as of September 2026, with employment types broken down into 3% Internship, 89% Full Time, 4% Part Time, and 4% Contract. Highlights an 75% Physical, 5% Hybrid, and 20% Remote job distribution, with an average salary of $148,895 per year, or $71.6 per hour.

Sr Python AI Engineer/Architect : Full time

San Francisco, CA โ€ข On-site

Other

Re-posted 11 days ago


Job description

  • Preference for candidates in/near San Francisco, CA.
  • Visa Sponsorship not available

Role: Sr Python AI Engineer/Architect


Location: Mission District-SF, CA Onsite role


Full-Time Position


Technical Stack



  • TypeScript and Python are primary languages; experience with web stack and Chrome extensions beneficial.

  • Focus on enabling AI tools and infrastructure for rapid development.


Seniority



  • 5+ years of experience in platform engineering.


Work experience



  • Has shipped and maintained production platform infrastructure in a B2B SaaS environment -CI/CD, Kubernetes, containerization, cloud deployments, database migrations; has made painful mistakes and learned from them

  • Startup experience post-Series A; ideally has seen a company grow from Series A-B


Youโ€™re a great fit if you have:



  • Built and scaled complex infrastructure systems

  • Worked with Kubernetes, ETL pipelines, AWS/GCP/Cloudflare, CI/CD, and SOC 2 environments

  • Strong judgment across security, reliability, cost, and iteration-speed tradeoffs

  • Been operating at the edge of AI-first development for some time

  • Learned practical lessons from decades of enterprise-grade engineering patterns

  • Strong opinions on how old systems should be improved or replaced

  • High ownership and comfort working across many domains


What you'll do:



  • Build internal platforms and AI loops that increase company iteration speed

  • Strengthen security, compliance, and operational readiness

  • Improve CI/CD, testing, deployments, and developer environments

  • Evaluate and implement new tooling, storage, and compute systems

  • Enable non-technical staff to build and ship improvements safely

  • Enable technical teams to ship scalable, enterprise-ready systems faster

  • Resolve incidents and production fires with both immediate fixes and long-term solutions

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