Overview
We are seeking a visionary Automation Senior Cloud Solution Architect to lead the technical design and implementation of a transformative, AI-driven solution that integrates advanced data processing, intuitive web interfaces, and intelligent automation. This role requires a strategic leader who can cultivate strong stakeholder relationships, guide cross-functional teams, and 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.
Key Responsibilities
* Champion Software Excellence & Talent Development. Promote SDLC best 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-case architecture using technologies like GenAI, API, D&A, etc., working closely with Product Managers, automation engineers, stakeholders across business and 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.
Key Qualifications and Experiences
Technical Expertise:
* Cloud Platform Proficiency: Solid experience (minimum 5 years) in architecting, deploying, and managing applications across leading cloud platforms; familiarity with cloud-native services (Azure), containerization (Docker, Kubernetes), and serverless architectures.
* Embedded Systems and CI/CD: Experience with embedded devices, operating systems, and server-client architecture. Proficient in CI/CD and DevSecOps practices.
* Architecture Design: Experience in Microservices and Event-Driven Architecture. Familiarity with SQL Server, Web Services (SOAP/REST) and API development.
* .NET Development Skills: Extensive hands-on experience with .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 platforms via APIs and middleware solutions.
* Security and Compliance: Understanding of cloud security practices and compliant authentication/authorization mechanisms (e.g., OAuth, OpenID Connect).
* Scalability and High Availability: Designing highly scalable and resilient applications with cloud features like load balancing, auto-scaling, and caching.
* Agile Development Practices: Strong background in Agile methodologies, backlog management, and sprint planning in cloud-based development.
* Strategic Problem Solving and Analytical Thinking: Data-driven problem solving to optimize performance and capabilities.
Specialized Skills:
* Prototyping: Rapid prototype development using iterative techniques.
* Vendor and Partner Engagement: Experience managing outsourcing and consulting partners.
* Cloud Architecture Design: Deep understanding of scalable, resilient cloud architectures.
Soft Skills and Others:
* Agile Collaboration: Experience working with Agile and Product teams; collaboration with product owners, engineers, and scrum masters.
* Leadership in Communication and Reporting: Ability to prepare and present updates and metrics to senior leadership and stakeholders.
* Cross-functional Collaboration: Experience coordinating hardware & software development teams and business owners.
Contract: Long-term contract
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