51 to 75 of 495 Permanent Architectural Design Jobs

strategic leader responsible for defining and implementing an enterprise-wide architecture for autonomous AI agents and Generative AI solutions. This role requires deep expertise in enterprise architecture, AI systems design, and cloud-native platforms (specifically Microsoft Azure, leveraging services like Azure AI Studio/Foundry, Azure OpenAI, Databricks). Collaborate with C-suite executives, Directors, Business & technology stakeholders, data … solutions. Key Responsibilities AI Strategy and Roadmap: Own and develop the enterprise AI architecture strategy and technical roadmap, ensuring alignment with Ecolab's business goals and digital transformation initiatives. Architectural Design and Governance: Design end-to-end scalable, secure, and resilient architectures for agentic AI solutions and multi-agent systems, integrating them with core enterprise systems like … SAP, Salesforce, and the ECOLAB3D™ platform. Define and enforce architectural standards and governance frameworks for the agent lifecycle, data lineage, observability, and interoperability. Technology Evaluation and Selection: Evaluate and select AI platforms, tools, and protocols, such as LangChain, AutoGen, or similar frameworks, ensuring they meet scalability, security, and performance requirements within the Azure environment. Implementation Oversight: Guide development and More ❯

are seeking a highly experienced and visionary ServiceNow Architect with deep expertise in Source-to-Pay (S2P) and Sales & Order Management (SOM) modules. The ideal candidate will lead the architectural design and strategic implementation of scalable, enterprise-grade solutions on the ServiceNow platform, enabling streamlined procurement, supplier lifecycle, and order management processes. Key Responsibilities: Define and own the … end-to-end architecture for ServiceNow solutions across S2P (SLP, SPO, APO) and SOM (Product Catalog, CPQ, Order Management) modules. Lead technical design sessions, establish architectural standards, and ensure alignment with enterprise IT strategy. Guide development teams in building robust workflows, integrations, and custom applications using REST/SOAP APIs and Integration Hub. Collaborate with business stakeholders, product More ❯

a hands-on Domain Architect (Solutions Architect) to contribute to shaping the future of Reward Gateway’s technology landscape. You will be part of the team defining and implementing architectural solutions that support platform modularisation, authentication, CRM and marketing integrations, and scalable system design. You’ll work with engineering and product teams to turn ideas into practical, high-impact … solutions. Key responsibilities include: Authentication & Identity Strategy Design secure, scalable authentication flows Address multi-program user scenarios and SSO challenges across web and mobile platforms, in coordination with the group strategy on the topic Platform Architecture Lead architectural design for modular monoliths and microservices, based on the DDD approach Ensure scalability, reliability, and compliance with GDPR and … convergence initiatives with platforms like Smarter and Explorer Technical Leadership Championing technology standards and patterns across engineering teams Contributing to enterprise roadmaps and technology strategy Guide engineering teams on architectural best practices Participate in code reviews and mentor developers on secure and efficient design patterns. Cross-functional collaboration Regular collaboration with enterprise architects on strategic alignment Partnership with More ❯

a hands-on Domain Architect (Solutions Architect) to contribute to shaping the future of Reward Gateway’s technology landscape. You will be part of the team defining and implementing architectural solutions that support platform modularisation, authentication, CRM and marketing integrations, and scalable system design. You’ll work with engineering and product teams to turn ideas into practical, high-impact … solutions. Key responsibilities include: Authentication & Identity Strategy Design secure, scalable authentication flows Address multi-program user scenarios and SSO challenges across web and mobile platforms, in coordination with the group strategy on the topic Platform Architecture Lead architectural design for modular monoliths and microservices, based on the DDD approach Ensure scalability, reliability, and compliance with GDPR and … convergence initiatives with platforms like Smarter and Explorer Technical Leadership Championing technology standards and patterns across engineering teams Contributing to enterprise roadmaps and technology strategy Guide engineering teams on architectural best practices Participate in code reviews and mentor developers on secure and efficient design patterns. Cross-functional collaboration Regular collaboration with enterprise architects on strategic alignment Partnership with More ❯

cycle as a technical expert, key activities in the role include: Leading technical discovery sessions with technical and executive stakeholders. Building proof of concept environments and delivering demonstrations. Developing Architectural solutions and associated design documentation. Creating and suitably sizing work packages both for the Cloud Studio and the broader Studio offerings Contributing to sales materials and blogs Supporting … availability solutions with multi-AZ Cloud Architecture. Significant experience with cloud modernization and migration solutioning: Discovery, Assessment, Roadmap, SOW Creation, Migration Planning, BAU Operationalization, and Optimization. Significant experience in architectural design - enterprise architecture, infrastructure architecture, and application modernization. An understanding of security principles and other associated controls and features in CSPs. Experience in working in, and with, Agile More ❯

intersection of architecture, AI/ML, dev tools, and systems engineering. You must have deep familiarity with generative AI, agent frameworks, microservices, and distributed systems, as well as strong design ability to foresee complexity and orchestrate collaboration across agents. We believe hybrid/remote work is the way forward as we strive to provide flexibility wherever possible. Based on … the project you're engaged in, as well as business and client requirements. Rest assured; we will always be clear about role expectations. Location: Remote Role & Responsibilities: Lead the architectural design of multi-agent AI systems using Google ADK, A2A, and related protocols (such as MCP) Define agent roles, capabilities, workflows (sequential, parallel, loop), orchestration patterns, and error … agent debugging strategies Required Skills: 5+ years in software architecture, distributed systems, or AI/ML engineering Prior experience building complex systems involving microservices, orchestration, state management, event-driven design Experience with agent frameworks or multi-agent/autonomous systems is a strong plus Familiarity with Google Cloud, serverless compute (Cloud Run, GKE, etc.), and scaling distributed applications Technical More ❯

you an accomplished customer facing Solution Architect or Principal Consultant with a track record of leading complex, cloud-first transformations ? Do you thrive at the intersection of technical strategy, architectural design, and customer success ? Our client, a fast-scaling cloud consultancy, partners with leading organisations to modernise their technology landscape through DevOps, platform engineering, automation, and software transformation … end technical architectures that solve complex business challenges. Partner directly with C-level and engineering stakeholders to shape technical strategy and delivery direction. Lead multi-disciplinary teams through architecture, design, and implementation , ensuring scalability, security, and performance. Influence technology decisions across modern programming, infrastructure, and automation ecosystems. Act as a trusted advisor: translating business objectives into technical solutions that … set standards, and influence the direction of both client and internal engineering teams. Technical Profile 7+ years’ experience in software engineering or cloud architecture , with recent focus on solution design and delivery leadership . Deep experience with AWS, GCP, or Azure , including infrastructure-as-code (Terraform, CloudFormation, Crossplane, Ansible). Proven ability to architect and deploy containerised systems (Docker More ❯

you an accomplished customer facing Solution Architect or Principal Consultant with a track record of leading complex, cloud-first transformations ? Do you thrive at the intersection of technical strategy, architectural design, and customer success ? Our client, a fast-scaling cloud consultancy, partners with leading organisations to modernise their technology landscape through DevOps, platform engineering, automation, and software transformation … end technical architectures that solve complex business challenges. Partner directly with C-level and engineering stakeholders to shape technical strategy and delivery direction. Lead multi-disciplinary teams through architecture, design, and implementation , ensuring scalability, security, and performance. Influence technology decisions across modern programming, infrastructure, and automation ecosystems. Act as a trusted advisor: translating business objectives into technical solutions that … set standards, and influence the direction of both client and internal engineering teams. Technical Profile 7+ years’ experience in software engineering or cloud architecture , with recent focus on solution design and delivery leadership . Deep experience with AWS, GCP, or Azure , including infrastructure-as-code (Terraform, CloudFormation, Crossplane, Ansible). Proven ability to architect and deploy containerised systems (Docker More ❯

you an accomplished customer facing Solution Architect or Principal Consultant with a track record of leading complex, cloud-first transformations ? Do you thrive at the intersection of technical strategy, architectural design, and customer success ? Our client, a fast-scaling cloud consultancy, partners with leading organisations to modernise their technology landscape through DevOps, platform engineering, automation, and software transformation … end technical architectures that solve complex business challenges. Partner directly with C-level and engineering stakeholders to shape technical strategy and delivery direction. Lead multi-disciplinary teams through architecture, design, and implementation , ensuring scalability, security, and performance. Influence technology decisions across modern programming, infrastructure, and automation ecosystems. Act as a trusted advisor: translating business objectives into technical solutions that … set standards, and influence the direction of both client and internal engineering teams. Technical Profile 7+ years’ experience in software engineering or cloud architecture , with recent focus on solution design and delivery leadership . Deep experience with AWS, GCP, or Azure , including infrastructure-as-code (Terraform, CloudFormation, Crossplane, Ansible). Proven ability to architect and deploy containerised systems (Docker More ❯

you an accomplished customer facing Solution Architect or Principal Consultant with a track record of leading complex, cloud-first transformations ? Do you thrive at the intersection of technical strategy, architectural design, and customer success ? Our client, a fast-scaling cloud consultancy, partners with leading organisations to modernise their technology landscape through DevOps, platform engineering, automation, and software transformation … end technical architectures that solve complex business challenges. Partner directly with C-level and engineering stakeholders to shape technical strategy and delivery direction. Lead multi-disciplinary teams through architecture, design, and implementation , ensuring scalability, security, and performance. Influence technology decisions across modern programming, infrastructure, and automation ecosystems. Act as a trusted advisor: translating business objectives into technical solutions that … set standards, and influence the direction of both client and internal engineering teams. Technical Profile 7+ years’ experience in software engineering or cloud architecture , with recent focus on solution design and delivery leadership . Deep experience with AWS, GCP, or Azure , including infrastructure-as-code (Terraform, CloudFormation, Crossplane, Ansible). Proven ability to architect and deploy containerised systems (Docker More ❯

you an accomplished customer facing Solution Architect or Principal Consultant with a track record of leading complex, cloud-first transformations ? Do you thrive at the intersection of technical strategy, architectural design, and customer success ? Our client, a fast-scaling cloud consultancy, partners with leading organisations to modernise their technology landscape through DevOps, platform engineering, automation, and software transformation … end technical architectures that solve complex business challenges. Partner directly with C-level and engineering stakeholders to shape technical strategy and delivery direction. Lead multi-disciplinary teams through architecture, design, and implementation , ensuring scalability, security, and performance. Influence technology decisions across modern programming, infrastructure, and automation ecosystems. Act as a trusted advisor: translating business objectives into technical solutions that … set standards, and influence the direction of both client and internal engineering teams. Technical Profile 7+ years’ experience in software engineering or cloud architecture , with recent focus on solution design and delivery leadership . Deep experience with AWS, GCP, or Azure , including infrastructure-as-code (Terraform, CloudFormation, Crossplane, Ansible). Proven ability to architect and deploy containerised systems (Docker More ❯

Machine Learning Engineer (MLE), you'll be part of an Agile team dedicated to productionizing machine learning applications and systems at scale. You'll participate in the detailed technical design, development, and implementation of machine learning applications using existing and emerging technology platforms. You'll focus on machine learning architectural design, develop and review model and application … many disciplines, such as Ops, Modeling, and Data Engineering. In this role, you'll be expected to perform many ML engineering activities, including one or more of the following: Design, build, and/or deliver ML models and components that solve real-world business problems, while working in collaboration with the Product and Data Science teams. Inform your ML More ❯

Machine Learning Engineer (MLE), you'll be part of an Agile team dedicated to productionizing machine learning applications and systems at scale. You'll participate in the detailed technical design, development, and implementation of machine learning applications using existing and emerging technology platforms. You'll focus on machine learning architectural design, develop and review model and application … many disciplines, such as Ops, Modeling, and Data Engineering. In this role, you'll be expected to perform many ML engineering activities, including one or more of the following: Design, build, and/or deliver ML models and components that solve real-world business problems, while working in collaboration with the Product and Data Science teams. Inform your ML More ❯

Machine Learning Engineer (MLE), you'll be part of an Agile team dedicated to productionizing machine learning applications and systems at scale. You'll participate in the detailed technical design, development, and implementation of machine learning applications using existing and emerging technology platforms. You'll focus on machine learning architectural design, develop and review model and application … many disciplines, such as Ops, Modeling, and Data Engineering. In this role, you'll be expected to perform many ML engineering activities, including one or more of the following: Design, build, and/or deliver ML models and components that solve real-world business problems, while working in collaboration with the Product and Data Science teams. Inform your ML More ❯

Machine Learning Engineer (MLE), you'll be part of an Agile team dedicated to productionizing machine learning applications and systems at scale. You'll participate in the detailed technical design, development, and implementation of machine learning applications using existing and emerging technology platforms. You'll focus on machine learning architectural design, develop and review model and application … many disciplines, such as Ops, Modeling, and Data Engineering. In this role, you'll be expected to perform many ML engineering activities, including one or more of the following: Design, build, and/or deliver ML models and components that solve real-world business problems, while working in collaboration with the Product and Data Science teams. Inform your ML More ❯

Machine Learning Engineer (MLE), you'll be part of an Agile team dedicated to productionizing machine learning applications and systems at scale. You'll participate in the detailed technical design, development, and implementation of machine learning applications using existing and emerging technology platforms. You'll focus on machine learning architectural design, develop and review model and application … many disciplines, such as Ops, Modeling, and Data Engineering. In this role, you'll be expected to perform many ML engineering activities, including one or more of the following: Design, build, and/or deliver ML models and components that solve real-world business problems, while working in collaboration with the Product and Data Science teams. Inform your ML More ❯

Machine Learning Engineer (MLE), you'll be part of an Agile team dedicated to productionizing machine learning applications and systems at scale. You'll participate in the detailed technical design, development, and implementation of machine learning applications using existing and emerging technology platforms. You'll focus on machine learning architectural design, develop and review model and application … many disciplines, such as Ops, Modeling, and Data Engineering. In this role, you'll be expected to perform many ML engineering activities, including one or more of the following: Design, build, and/or deliver ML models and components that solve real-world business problems, while working in collaboration with the Product and Data Science teams. Inform your ML More ❯

Machine Learning Engineer (MLE), you'll be part of an Agile team dedicated to productionizing machine learning applications and systems at scale. You'll participate in the detailed technical design, development, and implementation of machine learning applications using existing and emerging technology platforms. You'll focus on machine learning architectural design, develop and review model and application … many disciplines, such as Ops, Modeling, and Data Engineering. In this role, you'll be expected to perform many ML engineering activities, including one or more of the following: Design, build, and/or deliver ML models and components that solve real-world business problems, while working in collaboration with the Product and Data Science teams. Inform your ML More ❯

Machine Learning Engineer (MLE), you'll be part of an Agile team dedicated to productionizing machine learning applications and systems at scale. You'll participate in the detailed technical design, development, and implementation of machine learning applications using existing and emerging technology platforms. You'll focus on machine learning architectural design, develop and review model and application … many disciplines, such as Ops, Modeling, and Data Engineering. In this role, you'll be expected to perform many ML engineering activities, including one or more of the following: Design, build, and/or deliver ML models and components that solve real-world business problems, while working in collaboration with the Product and Data Science teams. Inform your ML More ❯

Machine Learning Engineer (MLE), you'll be part of an Agile team dedicated to productionizing machine learning applications and systems at scale. You'll participate in the detailed technical design, development, and implementation of machine learning applications using existing and emerging technology platforms. You'll focus on machine learning architectural design, develop and review model and application … many disciplines, such as Ops, Modeling, and Data Engineering. In this role, you'll be expected to perform many ML engineering activities, including one or more of the following: Design, build, and/or deliver ML models and components that solve real-world business problems, while working in collaboration with the Product and Data Science teams. Inform your ML More ❯

Machine Learning Engineer (MLE), you'll be part of an Agile team dedicated to productionizing machine learning applications and systems at scale. You'll participate in the detailed technical design, development, and implementation of machine learning applications using existing and emerging technology platforms. You'll focus on machine learning architectural design, develop and review model and application … many disciplines, such as Ops, Modeling, and Data Engineering. In this role, you'll be expected to perform many ML engineering activities, including one or more of the following: Design, build, and/or deliver ML models and components that solve real-world business problems, while working in collaboration with the Product and Data Science teams. Inform your ML More ❯

Machine Learning Engineer (MLE), you'll be part of an Agile team dedicated to productionizing machine learning applications and systems at scale. You'll participate in the detailed technical design, development, and implementation of machine learning applications using existing and emerging technology platforms. You'll focus on machine learning architectural design, develop and review model and application … many disciplines, such as Ops, Modeling, and Data Engineering. In this role, you'll be expected to perform many ML engineering activities, including one or more of the following: Design, build, and/or deliver ML models and components that solve real-world business problems, while working in collaboration with the Product and Data Science teams. Inform your ML More ❯

Machine Learning Engineer (MLE), you'll be part of an Agile team dedicated to productionizing machine learning applications and systems at scale. You'll participate in the detailed technical design, development, and implementation of machine learning applications using existing and emerging technology platforms. You'll focus on machine learning architectural design, develop and review model and application … many disciplines, such as Ops, Modeling, and Data Engineering. In this role, you'll be expected to perform many ML engineering activities, including one or more of the following: Design, build, and/or deliver ML models and components that solve real-world business problems, while working in collaboration with the Product and Data Science teams. Inform your ML More ❯

Machine Learning Engineer (MLE), you'll be part of an Agile team dedicated to productionizing machine learning applications and systems at scale. You'll participate in the detailed technical design, development, and implementation of machine learning applications using existing and emerging technology platforms. You'll focus on machine learning architectural design, develop and review model and application … many disciplines, such as Ops, Modeling, and Data Engineering. In this role, you'll be expected to perform many ML engineering activities, including one or more of the following: Design, build, and/or deliver ML models and components that solve real-world business problems, while working in collaboration with the Product and Data Science teams. Inform your ML More ❯

Machine Learning Engineer (MLE), you'll be part of an Agile team dedicated to productionizing machine learning applications and systems at scale. You'll participate in the detailed technical design, development, and implementation of machine learning applications using existing and emerging technology platforms. You'll focus on machine learning architectural design, develop and review model and application … many disciplines, such as Ops, Modeling, and Data Engineering. In this role, you'll be expected to perform many ML engineering activities, including one or more of the following: Design, build, and/or deliver ML models and components that solve real-world business problems, while working in collaboration with the Product and Data Science teams. Inform your ML More ❯