Job Summary
Serve as an Architect within a multinational organization designing robust CrewAI and Optimizely based solutions that integrate LangSmith Flask Python and core Python services for digital optimization initiatives. Apply deep technical expertise across hybrid work environments to craft scalable secure and maintainable architectures that improve resource efficiency strengthen user experiences and enable data driven experimentation for global stakeholders.
Responsibilities
- Design end to end solution architectures integrating CrewAI components Optimizely experimentation platforms LangSmith observability tools Flask Python services and core Python libraries to deliver scalable and resilient digital products that align with enterprise standards and business goals.
- Develop comprehensive architecture blueprints interface specifications and deployment patterns that support hybrid work models ensure consistent day shift collaboration and enable seamless handoffs across cross functional engineering and product teams.
- Guide the design of data flows event tracking models and experiment instrumentation strategies within Optimizely and CrewAI based ecosystems to maximize reliable measurement of user behavior and system performance while supporting ethical and inclusive outcomes.
- Define detailed application integration approaches between Flask Python microservices and external CrewAI or LangSmith services by outlining patterns for authentication data validation error handling and performance tuning that can be reused by development teams.
- Review and refine Python code structures modularization approaches and configuration practices to ensure that solutions are maintainable testable and aligned with architectural guardrails while supporting future extension to Guide Resource Usage Records domain use cases.
- Collaborate closely with product managers data scientists and software engineers to translate complex business requirements into clear architectural decisions that emphasize reliability security and cost effective use of infrastructure resources.
- Oversee non functional requirement definition for solutions including performance thresholds scalability targets resiliency objectives and monitoring strategies while ensuring practical implementation using LangSmith and other telemetry tools.
- Provide architectural governance through design reviews technical risk assessments and documented decision records that help teams adopt CrewAI and Optimizely capabilities in a consistent and compliant manner across multiple projects.
- Coordinate hybrid work practices by using remote friendly collaboration tools structured documentation and clear communication routines that support inclusive participation of all team members regardless of work location.
- Drive continuous improvement in experimentation and optimization architectures by analyzing system metrics learning from production incidents and recommending incremental enhancements that reduce resource usage and improve user satisfaction.
- Ensure that all solutions adhere to security and privacy policies by incorporating secure coding practices in Python and Flask Python services robust access controls for experimentation platforms and appropriate data protection measures throughout the stack.
- Support stakeholder decision making by creating architecture diagrams technical impact assessments and concise explanations of tradeoffs so that business leaders can select solution options that best serve organizational and societal objectives.
- Mentor less experienced engineers in applying architectural patterns using CrewAI and Optimizely tools effectively and adopting good practices for Python based development so that the overall team capability steadily grows over time.
Qualifications
- Demonstrate extensive experience in CrewAI solution design and integration including configuring workflows defining data exchange patterns and ensuring that CrewAI components work reliably with Python based services and external platforms.
- Possess strong hands on expertise with Optimizely experimentation technologies including designing experiment frameworks managing configuration environments and interpreting experiment metrics to guide data informed optimization decisions.
- Apply solid proficiency in LangSmith observability capabilities to design logging tracing and monitoring schemes that capture meaningful insights about application behavior user interactions and resource consumption.
- Show advanced skills in Flask Python and core Python programming for building modular services implementing clean application structures and integrating third party libraries while maintaining high code quality.
- Bring practical familiarity with Guide Resource Usage Records domain concepts or similar resource tracking environments so that architectures support accurate recording and analysis of utilization patterns when required.
- Communicate clearly in English at a professional level in reading writing and speaking allowing effective collaboration with global teams accurate documentation of architectural decisions and constructive participation in reviews.
Certifications Required
Preferred certifications include Optimizely Platform Specialist and Python related credentials such as PCAP or PCPP
