Sap Solution Architect Sr Lead

We are seeking a visionary Automation Senior Cloud Solution Architect to lead the technical design and implementation of a transformative capability. This role is pivotal in architecting a scalable, AI-driven solution that seamlessly integrates advanced data processing, intuitive web interfaces, and intelligent automation. This is a long-term contract position.

This position requires a strategic leader who thrives in complexity and is committed to cultivating strong stakeholder relationships, guiding cross-functional teams to deliver solutions that drive pricing transparency, operational efficiency, and market competitiveness. The role interfaces with Enterprise Architecture, Business Leaders, Senior Leaders, and Cyber/Privacy/Legal teams.

• Champion Software Excellence & Talent Development. Promote 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, 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 closely 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, with knowledge of cloud services for computing, databases, application development, and integration services. 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: Experience with Microservices and Event-Driven Architecture; familiarity with SQL Server, Web Services (SOAP/REST), and API development.
• .NET Development Skills: Extensive hands-on experience in building scalable, high-performance applications using .NET technologies (C#, .NET Core, ASP.NET, Entity Framework), with knowledge of Blazor or ASP.NET MVC.
• Integration with SAP and Salesforce: Ability to integrate .NET applications with SAP and Salesforce using APIs and middleware solutions.
• Security and Compliance: Deep understanding of cloud security practices (OAuth, OpenID Connect) and regulatory compliance.
• Scalability and High Availability: Designing highly scalable, resilient applications with cloud features like load balancing, auto-scaling, and caching.
• Agile Development Practices: Strong background in Agile methodologies, backlog management, user stories, sprint planning, and releases in a cloud-hosted environment.
• Strategic Problem Solving and Analytical Thinking: Data-driven decision-making to optimize performance and capabilities.

Specialized Skills:

• Prototyping: Rapid prototype development using iterative techniques.
• Vendor and Partner Engagement: Experience managing outsourcing/consulting partnerships.
• Cloud Architecture Design: Deep understanding enabling scalable, flexible digital infrastructures for rapid innovation.

Soft Skills and Others:

• Agile Collaboration: Experience working with Agile and Product teams; collaboration with product owners, engineers, and scrum masters to foster an agile environment.
• Leadership in Communication and Reporting: Ability to present updates and metrics to senior leaders and stakeholders with transparency and alignment.
• Cross-functional Collaboration: Experience coordinating hardware & software development teams and business owners.