Oil & Gas AI Product Architect

@Friends4it

Hi, I've read your brief — your AI-driven MVP for the oil & gas sector is ready for first large-scale deployment, and you need a seasoned architect to turn the prototype into a production-grade, cloud-native product on Azure PaaS, owning the full technical blueprint, weaving in a zero-trust cyber-security posture, and establishing a lean but scalable foundation. This is a strong fit for us at Global IT Vision — we design and harden cloud-native architectures. My approach: - Architecture blueprint on Azure PaaS: right-sized services (App Service/AKS, Functions, managed data + Azure ML/AI where the model lives), designed for scale without over-engineering. - Zero-trust posture: identity-first access (Entra ID), network segmentation/Private Link, secrets in Key Vault, least-privilege, and end-to-end encryption + logging/monitoring. - Production-readiness: IaC (Bicep/Terraform), CI/CD, observability, and cost controls so it scales predictably. - Clear documentation + oversight so your team can build to the blueprint (and I can stay hands-on where needed). I've posted scope questions on the board (current stack, anchored Azure services, blueprint vs hands-on). Could we do a technical call to align on the target architecture? — Muhammad Idrees / Global IT Vision Pvt. Ltd

@KavyaTechNepal

Namaste, I have experience designing scalable cloud architectures, AI-powered platforms, data engineering pipelines, DevOps automation, and enterprise-grade applications on Azure and AWS environments. Your project requires a combination of cloud architecture, industrial data integration, cybersecurity, and SDLC governance. I can contribute across: * Azure PaaS architecture and infrastructure design * Terraform/Bicep Infrastructure as Code * Azure DevOps and GitHub Actions CI/CD pipelines * Containerized microservices and cloud-native deployments * Security architecture using Key Vault, Defender, RBAC, managed identities, and monitoring * Data ingestion pipelines for enterprise and industrial systems * SDLC processes including branching strategies, automated testing, code reviews, and release management * AI/ML platform deployment and operationalization I would be interested in reviewing the current MVP architecture, deployment model, data sources, security requirements, and performance expectations to provide a detailed implementation roadmap and deployment strategy for large-scale production rollout. Best regards, Amit G. Kavya Tech Nepal

@Appworldz

Hi, This engagement goes far beyond Azure infrastructure. The real challenge is building a production-ready architecture that securely connects industrial OT and enterprise IT systems while meeting scalability, compliance, and operational requirements. I've led architecture and delivery of Azure-native AI and data platforms involving SAP integrations, historian/time-series data ingestion, IoT pipelines, DevSecOps, zero-trust security, and enterprise governance. My approach would leverage Azure Kubernetes Service, Event Hubs, Data Factory, Key Vault, Defender, Sentinel, Terraform/Bicep, and automated CI/CD with security gates built into the SDLC. I have experience integrating SAP PM/MM and industrial data platforms, designing high-throughput ingestion services, audit-ready release processes, and cloud architectures that satisfy stringent security and compliance standards. The stated hourly rate aligns with the seniority required. For a project of this complexity, I would recommend a discovery and architecture phase first, followed by phased implementation and validation. Sahanaj

@raj00565

With over a decade of experience specializing in network administration, system administration, and DevOps, our team of experts is uniquely suited to tackle the challenges your AI-driven MVP presents. I personally bring to the table a speciality in DevOps paired with extensive knowledge in cloud automation – areas which are at the core of what your project demands. Throughout my career, I have successfully designed and implemented sophisticated IT infrastructures within fast-paced industries - much like oil & gas. This has equipped me with practical capabilities that align closely with your project goals. Alongside my expertise in building scalable environments, my hands-on proficiency in Amazon Web Services dovetails smoothly into your Azure PaaS needs to harmoniously achieve a secure and efficient product. Moreover, I understand the criticality of an auditable SDLC and zero-trust cyber-security posture within data-intensive systems. My track record includes setting up processes that meet ISO 27001 and SOC 2's stringent standards, ensuring your project undergoes rigorous evaluation and clearance. To further impel your decision, I'd be more than happy to provide you with architecture samples that demonstrate the innovative solutions I've created across similar projects. Do let us know if you'd like us to get straight to it!

@SkillCrafts

I understand you're seeking an architect to transition your AI MVP from prototype to a robust, cloud-native Azure product, similar to my work in architecting scalable data ingestion pipelines for industrial IoT deployments. My experience includes designing and implementing resilient, high-throughput systems capable of handling diverse data sources and ensuring data integrity under demanding conditions. My approach will focus on leveraging Azure PaaS services like Azure Kubernetes Service (AKS) for container orchestration, Azure Data Factory for ETL, and Azure Synapse Analytics for data warehousing, all integrated with a robust CI/CD pipeline using Azure DevOps. Security will be paramount, with a zero-trust model implemented through Azure Active Directory, network security groups, and private endpoints. For data extraction, I'll develop modular, parallelized connectors optimized for each specified system (CDF, OSI PI, SAP PM/MM, IP 21) ensuring efficient time-series data ingestion. To ensure alignment, could you elaborate on the specific latency requirements for the time-series data ingestion? Additionally, are there any existing Azure footprints or preferred deployment regions for this initial large-scale deployment? I'm eager to discuss how my expertise can directly address these critical architectural challenges.

@techsty2014

This looks like a great fit, We will deliver your Azure PaaS architecture, CI/CD pipelines, zero-trust security framework, and production extractors for CDF, OSI PI, SAP PM/MM, and IP 21. For the historians, we will build each extractor as an isolated containerized service with backfill and live streaming modes. This simplifies testing and lets each connector scale independently. A couple of quick things to confirm: 1) Is the MVP currently running on Azure, or will we migrate it as part of this scope? 2) Which historian (CDF, OSI PI, IP 21) holds the highest priority for initial integration? The number quoted here is a starting estimate. The exact cost and timeline will be confirmed after we go through the full scope together. Looking forward to talking through the details. Faizan

@NEHABHAT92

Drawing from my broad 9+ years in web and mobile development, I have honed a range of technical and leadership skills aligning well with the needs of your project. Although not reflective of my current professional role, I have a deep-rooted expertise in data-intensive products on Azure and spearheading SDLCs that would deliver an auditable, robust, and secure AI system for your industry. My proficiency in container orchestration, Azure DevOps, ARM/Bicep or Terraform can enhance code quality while ensuring smooth automated DevOps. My hands-on approach also means I'm keen to get up to speed with industrial protocols like Historians, which will be critical for effective interfacing and high-throughput data capture. In addition to my technical know-how, as someone who has often worn multiple hats as project lead, architect and even tester at times, I understand the importance of not just designing systems but validating their functionality as well. This mindset is foundational to all I do. Moreover, my typical strategy leans heavily toward adopting best-practice compliant approaches including ISO 27001 or SOC 2. As a seasoned freelancer, my focus has been on delivering value through meetpecing client's requirements. Lastly, with my broad spectrum of support including Android/iOS app development and strong SEO experience. That proficiency can be channelled further to optimize the performance of the product for maximum reach across platforms and audiences across the g

@GauravNargotra

Hi, Good day This is one of the more interesting AI deployment projects I have come across because the challenge is not the AI model itself, but turning an MVP into a secure, production-grade platform capable of operating in enterprise oil & gas environments. The combination of Azure PaaS architecture, industrial data integration, cybersecurity, DevOps automation, and governance-driven SDLC requires a structured approach from day one. Before discussing implementation, I would like to understand: • What components of the MVP are already production-ready? • Have integrations with CDF, OSI PI, SAP PM/MM, and IP21 already been validated? • Are you targeting a single customer deployment initially or a multi-tenant product architecture? • Are there existing security or compliance requirements already defined? Based on the answers, I can outline an architecture approach covering cloud infrastructure, CI/CD, security controls, integration services, and operational governance. I look forward to discussing the project further. Regards

@wpexpert0141

Hi, I've gone through the project description and would like to understand a few details before suggesting an approach. From experience, projects tend to move much more smoothly when the objectives, workflow, and edge cases are clarified early. I have some initial thoughts that may be helpful and would be glad to discuss them with you. Looking forward to connecting. Shiv,

@dushyant317

I can architect and productionize your AI platform on Azure using a secure Zero-Trust framework, IaC (Terraform/Bicep), CI/CD automation, and scalable data ingestion pipelines for CDF, OSI PI, SAP PM/MM, and IP.21, ensuring enterprise-grade security, compliance, and deployment readiness.

@Kyybaindia

# We are happy to send our developers to work in your location and we are SOC 2/HiTrust Certified company# Hi there, This is Shree from Kyyba. We are happy to share our sample architecture once you open the freelancer private chat, with the addition of a separate team of penetration testers to fine-tune the performance. As you listed one of our SMEs—subject matter experts—will share you the 1. SDLC works: code review, automated testing 2. Deploying Cognite Data Fusion, AVEVA PI, Plant Maintenance & Materials Management 3. Cybersecurity – NIST/SIEM – security information/event management 4. CI/CD - Commit & Trigger/ Build & Unit Tests/ Static Analysis (SAST), etc. 5. We are partners with Claude, so we will share with you our detailed architecture on Azure PaaS. Could you share with us the details of key industrial systems—CDF, OSI PI Historians, and SAP PM/MM? Relevant Experience: • Built Azure-based AI and analytics platforms for industrial and energy clients, integrating historian systems and enterprise applications. • Supported Aspen IP.21, Aspen AMS/eBRS, DataPARC Historian, and OSI Monarch SCADA implementations across the oil & gas and utilities sectors. • Delivered historian integrations, SQL development, dashboarding, and Hypercare support for large-scale process automation environments. Please open the freelancer private chat for more details Thanks Shree Kyyba.

@artemb35

Hi there, You need an expert to transform your AI-driven MVP for the oil & gas sector into a robust, production-grade product on Azure PaaS. I specialize in architecting cloud-native solutions with a focus on security and efficiency, ensuring your deployment meets the rigorous demands of the industry. In my previous role, I successfully led the architecture of a data-intensive application for a major energy company, utilizing Azure and implementing automated CI/CD pipelines that complied with ISO 27001 standards. This experience directly aligns with your requirement for a seasoned architect. Here's how I plan to execute your project: - Develop a comprehensive cloud architecture document detailing the Azure PaaS implementation. - Establish an end-to-end CI/CD pipeline for both infrastructure and application deployment. - Integrate a zero-trust cyber-security framework using Azure security services. - Build and validate high-throughput data extractors for CDF, OSI PI, SAP PM/MM, and IP 21. I can deliver the initial architecture and CI/CD pipeline within 4-6 weeks, ensuring thorough testing and compliance throughout the process. You can view my relevant work at freelancer.com/u/artemb35. What specific performance benchmarks do you have in mind for the acceptance criteria? Let's discuss how I can help bring your project to life.