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Job Category Information Technology (IT) & Software Engineering & Technical Science & Research Job OverviewWe are seeking a highly experienced Solution Architect to lead the design and implementation of scalable, secure, and high-performance enterprise applications across Data, Artificial Intelligence, and Cloud environments. The successful candidate will work across multidisciplinary technology teams to develop architecture strategies that align technical solutions with business and user requirements.
The role involves close collaboration with Project Management, Data, AI, and Dev Ops teams to bridge technical gaps, establish architectural best practices, and ensure alignment throughout the Software Development Life Cycle (SDLC). The Solution Architect will also work closely with technical and business stakeholders to drive key architectural decisions and deliver enterprise-grade solutions.
This position provides opportunities for career growth and professional development across cloud architecture, Azure Data platforms, Generative AI, Dev Ops, and enterprise solution design. The role also offers exposure to emerging technologies such as RAG, AI agents, and Large Language Models (LLMs) while developing client-facing technical leadership capabilities. Key Responsibilities Design scalable, secure, and high-performance enterprise application architectures. Develop architecture solutions across Data, AI, and Cloud environments. Define technical architecture standards, best practices, and design principles. Collaborate with Project Management, Data, AI, and Dev Ops teams. Bridge technical gaps across multidisciplinary technology teams. Ensure solution architectures align with business and user requirements. Drive architectural decisions with technical and business stakeholders. Ensure architecture alignment throughout the Software Development Life Cycle (SDLC). Design and support solutions using Azure Data platforms. Architect Generative AI solutions involving RAG, AI agents, and LLM technologies. Support cloud architecture and Dev Ops practices. Contribute to the delivery of scalable and enterprise-grade technology solutions. Provide client-facing technical leadership and architectural guidance. Requirements & Qualifications Extensive professional experience in Solution Architecture and enterprise technology environments. Strong understanding of cloud architecture and enterprise application design. Experience with Azure Data platforms . Knowledge of Generative AI technologies, including: Retrieval-Augmented Generation (RAG) AI agents Large Language Models (LLMs) Strong understanding of Dev Ops practices, SDLC alignment. Experience designing scalable, secure, and high-performance solutions. Strong technical leadership and architectural decision-making skills. Ability to collaborate effectively with technical and business stakeholders. Strong communication and client-facing skills. Experience working across Data, AI, Cloud, and Dev Ops teams. Salary, Benefits & Career Growth
Salary information has not been provided by the employer.
The role provides opportunities for professional development and career progression in enterprise solution architecture, cloud computing, Data, Artificial Intelligence, Generative AI, and Dev Ops. The successful candidate will have opportunities to strengthen expertise in emerging AI technologies, Azure Data platforms, cloud architecture, and enterprise technology strategy.
The position also provides exposure to client-facing technical leadership and multidisciplinary technology environments, supporting continued upskilling and advancement in solution architecture. #J-18808-Ljbffr
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Honeywell Technologies