Python & Data Modelling and Architecture
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Role details
Tech stack
Job description
Join our dynamic technology team in Plano, TX, as a Python & Data Modelling and Architecture specialist, where you will drive AI adoption across the enterprise. In this influential role, you will bridge architecture and implementation teams, accelerate innovative AI initiatives, and build solutions for scalable, secure AI applications. This role provides opportunities to shape enterprise standards, mentor teams, and make a tangible impact on the future of AI within a global organization., Translate enterprise-level AI requirements into actionable technical designs and architectural blueprints
- Develop prototypes, frameworks, and integrations to support AI and GenAI adoption at scale
- Lead onboarding of AI applications, agent registration, prompt management, and governance workflows
- Establish reusable architecture patterns, standards, and documentation for future AI projects
- Serve as a technical leader for solution delivery, collaborating with architects, product owners, and business stakeholders
- Troubleshoot complex technical issues and provide hands-on guidance to engineering teams
- Evaluate solution options and articulate tradeoffs to inform decision-making
- Advocate for best practices in security, compliance, governance, and SDLC processes
- Promote an enterprise mindset, ensuring alignment with organizational goals and controls
Requirements
8-12 years of hands-on software engineering experience, with a strong Python background
- Proven track record in building enterprise-grade applications and designing end-to-end solutions
- Experience with API design, integration patterns, and microservices architectures
- Skilled in reading and writing technical and architectural documentation
- Strong troubleshooting skills and ability to solve complex problems independently
- Excellent verbal and written communication; comfortable influencing technical decisions and engaging with diverse stakeholders
- Self-directed, with a strong sense of ownership and accountability
- Deep understanding of application, data, and technology architecture concepts
- Familiarity with governance, controls, security, risk, and compliance in large organizations
Preferred Skills
- Exposure to AI and GenAI technologies, including LLMs, agents, and prompt engineering
- Knowledge of AI governance concepts and RAG architectures
- Experience with workflow/orchestration platforms
- Hands-on with FastAPI, Flask, or similar frameworks
- Understanding of API security concepts, Python
Benefits & conditions
High-impact role shaping the future of AI within a leading enterprise
- Collaborative, innovative, and supportive work environment
- Opportunities for professional growth, technical leadership, and career advancement
- Competitive compensation package
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