Solutions Delivery Lead
Listed on 2026-06-03
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IT/Tech
AI Engineer, Cloud Computing
Overview
Mission and Value Statement.” During your employment with SCRI, you will be routinely assigned training requirements. You are expected to complete any training assignments by the due date.
Minimum QualificationsBachelor's Degree
At least 10 years of experience in technology delivery and solution implementation
Generative AI, large language models, machine learning, and agentic architecture patterns such as retrieval-augmented generation, orchestration, and copilots.
Intelligent automation, enterprise integration patterns
AI governance, security and compliance frameworks
Enterprise architecture principles, and production delivery practices in regulated or controlled environments.
Strong solution architecture capability across AI, data, cloud, and enterprise systems, with the ability to translate business problems into implementable solution designs, user stories, and technical specifications.
Proven delivery leadership, prototyping and pilot-to-production execution, stakeholder communication, governance coordination, test case review, control validation.
Strong engineering oversight for APIs, data pipelines, deployment, monitoring, and operational readiness.
Ability to operate across problem framing, solution design, architecture leadership, governance, and end-to-end delivery execution in ambiguous environments.
Ability to balance rapid experimentation with enterprise-grade rigor, influence matrixed teams, drive clarity and accountability, and ensure solutions are scalable, secure, maintainable, and ready for production support.
As part of Total Rewards, we are proud to offer a competitive compensation package. This is determined by several factors, including performance, experience and skills, equity, regular job market evaluations, and geographical markets. In addition to base pay, other compensation, such as an annual bonus or long-term incentive opportunities may be offered.
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