Cloud Architect

We are seeking a visionary Automation Senior Cloud Solution Architect to lead the technical design and implementation of a transformative, AI-driven capability. The role focuses on architecting a scalable solution that integrates advanced data processing, intuitive web interfaces, and intelligent automation. This position requires a strategic leader who thrives in complexity, cultivates strong stakeholder relationships, and guides cross-functional teams to deliver solutions that drive pricing transparency, operational efficiency, and market competitiveness.

The ideal candidate combines technical depth with strategic foresight and has a proven track record of delivering end-to-end automation at scale. The role interfaces with Enterprise Architecture, business leaders, senior leaders, and Cyber/Privacy/Legal teams.

• Champion Software Excellence & Talent Development. Promote strong SDLC practices including clean architecture, automated testing, and scalable design. Mentor junior developers through code reviews, technical guidance, and collaborative learning to foster a high-performing engineering culture.
• Lead Automation use cases architecture using technologies like GenAI, API, D&A, etc., working closely with Product Managers, automation engineers, and stakeholders across business units, DTS, and Enterprise Architecture.
• End-to-End Platform Development. Build and maintain front-end (React, TypeScript, Next.js) and back-end (Python, FastAPI, Node.js) layers that support GenAI workflows and agentic interactions.
• API & Agent Framework Integration. Design robust REST and GraphQL APIs for real-time agent communication, tool execution, and memory handling. Integrate frameworks such as LangChain, LangGraph, CrewAI, and vector databases (Pinecone, FAISS, Chroma, Weaviate).
• ETL & Data Pipeline Architecture. Architect and optimize ETL pipelines for real-time and batch data processing; ensure seamless data flow between GenAI services, databases, and user interfaces.
• Cloud-Native Deployment & Monitoring. Deploy and scale services using Docker, Kubernetes, and CI/CD pipelines. Apply MLOps best practices for monitoring, versioning, and performance tuning of AI components.
• Cross-Functional Collaboration. Work with AI researchers, product managers, and delivery teams to align technical execution with strategic goals. Participate in multi-agent orchestration experiments and rapid prototyping cycles.

Technical Expertise:

• Cloud Platform Proficiency: Solid experience (minimum 5 years) in architecting, deploying, and managing applications across leading cloud platforms; familiarity with Azure, containerization (Docker, Kubernetes), and serverless architectures is highly valued.
• Embedded Systems and CI/CD: Experience with embedded devices, operating systems, and server-client architecture. Proficient in CI/CD and DevSecOps practices.
• Architecture Design: Microservices and Event-Driven Architecture; experience with SQL Server, Web Services (SOAP/REST), and API development.
• .NET Development Skills: Extensive hands-on experience in .NET technologies (C#, .NET Core, ASP.NET, Entity Framework); knowledge of Blazor or ASP.NET MVC is valuable.
• Integration with SAP and Salesforce: Ability to integrate .NET applications with SAP and Salesforce using APIs and middleware solutions.
• Security and Compliance: Knowledge of cloud security practices, secure authentication/authorization (e.g., OAuth, OpenID Connect), and relevant industry standards.
• Scalability and High Availability: Design for scalability and resilience using load balancing, auto-scaling, and caching.
• Agile Development Practices: Strong background in Agile methodologies, backlog management, sprints, and releases in cloud-hosted environments.
• Strategic Problem Solving: Analytical, data-driven decision-making to optimize performance and capabilities.

Specialized Skills:

• Prototyping: Rapid prototype development using iterative techniques.
• Vendor and Partner Engagement: Experience managing relationships with outsourcing and consulting partners.
• Cloud Architecture Design: Deep understanding of scalable, flexible digital infrastructures supporting rapid innovation.

Soft Skills:

• Agile Collaboration: Experience with epics, user stories, sprints, and backlog management; ability to work with product owners, engineers, and scrum masters.
• Leadership in Communication and Reporting: Ability to present updates and metrics to senior leaders and stakeholders, ensuring transparency and alignment.
• Cross-functional Collaboration: Experience coordinating hardware & software development teams and business owners.

Contract: Long term contract