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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # AI & Multi-Cloud Architecture Lead - **Company:** Ritwik Infotech - **Location:** Palm Beach, FL, United States - **Experience:** Expert - **Contract:** Permanent contract - **Skills:** Application Programming Interfaces (APIs), Artificial Intelligence, Amazon Web Services, Application Integration Architecture, JIRA, Cloud Engineering, Configuration Management Databases, Continuous Integration, Data Architecture, Information Engineering, Extract Transform Load (ETL), Digital Architecture, Python (Programming Language), SQL Databases, Data Streaming, Systems Integration, Unstructured Data, Google Cloud, Multi-Cloud, AI Platforms, Kubernetes, Data Lineage, Machine Learning Operations, Terraform, Data Pipelines, Servicenow - **Published:** August 15, 2026 - **Apply:** https://www.dice.com/job-detail/9098d868-0f6c-4567-87d6-cc8b380baa59 ## About the Role 7+ years in cloud architecture, data engineering, or infrastructure Proven experience in multi-cloud environments (AWS + Google Cloud Platform) Demonstrated ability to: Design architecture and deliver working solutions Build data pipelines and integrations Strong experience with: Python, SQL ETL/ELT pipelines Infrastructure as Code (Terraform preferred) Containers (Kubernetes) AI & Modern Architecture Requirements Hands-on experience with: AI/ML integration into enterprise pipelines MLOps or AI lifecycle tooling Experience evaluating and implementing: AI platforms Automation tooling Preferred Experience ServiceNow CMDB/APM integration Apptio (cost allocation / FinOps) Experience solving: Cross-system duplication Data lineage challenges ## Description Responsible for defining and advancing a cloud-agnostic, AI-enabled architecture strategy that supports enterprise analytics, automation, and operational decision-making across multi-cloud environments. This role leads architecture standards and governance across AWS and Google Cloud Platform while actively delivering hands-on prototypes, data pipelines, and AI integrations to accelerate adoption. Operating as a shared services architecture function, this role both guides and demonstrates best practices bridging strategy and execution to ensure scalable, cost-efficient, and production-ready solutions aligned with ServiceNow CMDB/APM and Apptio models. Core Role Identity Dimension Expectation Architecture Defines standards, patterns, governance Delivery Builds POCs, pipelines, and AI integrations, Define and implement cloud-agnostic architecture patterns across AWS and Google Cloud Platform Standardize Google Cloud Platform governance aligned to AWS controls Establish reusable reference architectures for data, AI, and infrastructure Promote abstraction via: Containers (Kubernetes) APIs Infrastructure as Code (Terraform) 2. Hands-On Enablement (POCs & Pipeline Delivery) Build proof-of-concept solutions to validate architecture patterns Develop and optimize data pipelines and integrations across systems (ServiceNow, Apptio, Jira) Implement AI-enabled workflows (model integration, automation) Provide hands-on support to delivery teams to accelerate adoption Translate architecture into working, scalable solutions 3. AI Integration & MLOps Enablement Design and implement AI-ready pipelines (structured + unstructured data) Support: Model integration into enterprise workflows MLOps lifecycle enablement (CI/CD, monitoring, governance) AI tool/vendor evaluation Mature organization from: POCs Embedded AI Governed enterprise AI 4. Data Architecture & Integration (CMDB/APM-Aligned) Architect data flows integrating: ServiceNow (CMDB/APM) Apptio (cost transparency) Jira (delivery data) ## Related Videos - [Applying Agile Principles to Incident Management ](https://www.wearedevelopers.com/videos/101-applying-agile-principles-to-incident-management) - [Infrastructure as Code: The Developer's Secret Weapon](https://www.wearedevelopers.com/videos/1221-infrastructure-as-code-the-developer-s-secret-weapon) - [Improving quality with Agentic AI with Rovo Dev and Xray](https://www.wearedevelopers.com/videos/2005-improving-quality-with-agentic-ai-with-rovo-dev-and-xray) - [Reference Architecture of AI in the Cloud](https://www.wearedevelopers.com/videos/1613-reference-architecture-of-ai-in-the-cloud) - [AI in Production: applied AI & enterprise use cases](https://www.wearedevelopers.com/videos/100130-ai-in-production-applied-ai-enterprise-use-cases) - [Implementing Feature Environments with AWS and Terraform](https://www.wearedevelopers.com/videos/531-implementing-feature-environments-with-aws-and-terraform) ## Related Articles - [Navigating the AI Shift](https://www.wearedevelopers.com/magazine/629-navigating-the-ai-shift) - [Got AI ideas but no money? Here are 10 free ways to level up your AI skills with Google Cloud](https://www.wearedevelopers.com/magazine/600-got-ai-ideas-but-no-money-here-are-10-free-ways-to-level-up-your-ai-skills-with-google-cloud) - [Stephan Gillich - Bringing AI Everywhere](https://www.wearedevelopers.com/magazine/489-stephan-gillich-bringing-ai-everywhere) - [MLOps – What’s the deal behind it?](https://www.wearedevelopers.com/magazine/125-mlops-what-s-the-deal-behind-it) - [MLOps And AI Driven Development](https://www.wearedevelopers.com/magazine/82-mlops-and-ai-driven-development) - [Coffee with Developers - Maria Apazoglou - Making AI understandable for all in production](https://www.wearedevelopers.com/magazine/475-coffee-with-developers-maria-apazoglou-making-ai-understandable-for-all-in-production)