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Lead the creation and adoption of coding patterns and best practices across the organization's development community, driving standardization and consistency.
Architect and implement robust, secure, and high-performance frameworks for both cloud and on-premises environments, leveraging cloud-native services (e.g., AWS).
Architects and governs agentic AI-enabled engineering workflows (using enterprise-authorized tools within the work environment) to improve delivery speed, code quality, and operational outcomes at scale (e.

g., AI-driven PR review assistance, test generation/maintenance, release readiness checks, incident triage and root-cause acceleration), while defining guardrails for validation, security, resiliency, and reuse across teams.

Applies knowledge of tools within the Software Development Life Cycle toolchain, including enterprise-authorized AI-assisted development and automation capabilities, to improve the value realized by automation at scale.
Collaborate with cross-functional teams to define integration strategies and technical solutions aligned with business goals.
Provide technical thought leadership, staying abreast of industry trends, emerging technologies, and best practices to guide the team and organization.
Identify existing drawbacks, gaps, and inefficiencies in frameworks, processes, and practices; proactively recommend and implement improvements.
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Ensure frameworks and solutions are enterprise-grade, with strong security, monitoring, documentation, and operational stability.
Lead proof-of-concept (POC) initiatives to evaluate new technologies and methodologies for potential adoption.
Identify opportunities to automate remediation of recurring issues, improving overall operational stability.
Drive innovation by exploring and integrating cutting-edge technologies (e.

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