Senior Principal Solution Architect, AI Enhanced Software Delivery
Job Description:
• The AI Enabled Delivery Engineer will select, implement, and operationalize tools that accelerate software delivery, reduce manual effort, improve code quality and reduce defects in productionized solutions.
• You will enable and support teams to update workflows, adopt best practices and implement tooling effectively, and support leaders in measuring KPIs across adoption, impact, and value.
• Solicit feedback from key stakeholders in Enterprise Digital Technology and divisional engineering teams to identify efficiency opportunities.
• Create and establish buy-in for a software engineering strategy that implements AI tooling to address identified opportunities.
• Responsible for evaluating/selecting tools aligned to strategy.
• Lead implementation, integration, and rollout of selected tools.
• Serve as technical lead for adoption of tooling for pilot projects.
• Support Agile coaching partners during pilot phases.
• Act as SME for selected tools and author enablement playbooks and enterprise-wide guidance documents.
• Identify KPIs to measure adoption, impact and value.
• Coach resource managers on implementation and reporting.
• Participate in AI governance and collaborate with intranet team to publish guidance ('AI Hub').
• Serve as domain expert in all aspects of the software delivery life cycle (SDLC), with an emphasis on Agile and modern development methodologies.
• Special projects/assignments as required.
Requirements:
• Bachelor's Degree in Computer Science, Engineering, Computer Information Systems, or a similar degree required.
• 10+ years of professional experience.
• 5+ years of experience acting as a technical lead for projects and resources.
• 5+ years of experience as an engineering practitioner in modern software development methodologies (Agile, Git, DevOps, CI/CD, VCS).
• 5+ years of experience with Cloud native technologies (PaaS, SaaS & Azure, AWS or GCP) and relative design concepts (distributed, event driven architectures).
• 5+ years of experience with writing code in multiple languages, frameworks and environments.
• 2+ years of experience using a coding agent such as Github Co-Pilot, Cursor AI, Codex
• Master’s degree in MIS, MBA or related technical disciplines preferred.
• Demonstrated expertise in a variety of systems development concepts, practices, and procedures
• Experience designing and/or working with distributed, event-driven architectures.
• Demonstrated experience working with business stakeholders, mapping processes and identifying user requirements.
• Experience understanding, evaluating, and recommending changes to business processes.
• Experience developing business process methodologies that deliver measurable results.
Benefits:
• salary plus bonus eligible
• benefits
Apply Now
Apply Now
• The AI Enabled Delivery Engineer will select, implement, and operationalize tools that accelerate software delivery, reduce manual effort, improve code quality and reduce defects in productionized solutions.
• You will enable and support teams to update workflows, adopt best practices and implement tooling effectively, and support leaders in measuring KPIs across adoption, impact, and value.
• Solicit feedback from key stakeholders in Enterprise Digital Technology and divisional engineering teams to identify efficiency opportunities.
• Create and establish buy-in for a software engineering strategy that implements AI tooling to address identified opportunities.
• Responsible for evaluating/selecting tools aligned to strategy.
• Lead implementation, integration, and rollout of selected tools.
• Serve as technical lead for adoption of tooling for pilot projects.
• Support Agile coaching partners during pilot phases.
• Act as SME for selected tools and author enablement playbooks and enterprise-wide guidance documents.
• Identify KPIs to measure adoption, impact and value.
• Coach resource managers on implementation and reporting.
• Participate in AI governance and collaborate with intranet team to publish guidance ('AI Hub').
• Serve as domain expert in all aspects of the software delivery life cycle (SDLC), with an emphasis on Agile and modern development methodologies.
• Special projects/assignments as required.
Requirements:
• Bachelor's Degree in Computer Science, Engineering, Computer Information Systems, or a similar degree required.
• 10+ years of professional experience.
• 5+ years of experience acting as a technical lead for projects and resources.
• 5+ years of experience as an engineering practitioner in modern software development methodologies (Agile, Git, DevOps, CI/CD, VCS).
• 5+ years of experience with Cloud native technologies (PaaS, SaaS & Azure, AWS or GCP) and relative design concepts (distributed, event driven architectures).
• 5+ years of experience with writing code in multiple languages, frameworks and environments.
• 2+ years of experience using a coding agent such as Github Co-Pilot, Cursor AI, Codex
• Master’s degree in MIS, MBA or related technical disciplines preferred.
• Demonstrated expertise in a variety of systems development concepts, practices, and procedures
• Experience designing and/or working with distributed, event-driven architectures.
• Demonstrated experience working with business stakeholders, mapping processes and identifying user requirements.
• Experience understanding, evaluating, and recommending changes to business processes.
• Experience developing business process methodologies that deliver measurable results.
Benefits:
• salary plus bonus eligible
• benefits
Apply Now
Apply Now