Senior Integration Architect

Long term contract

Job Summary

We are seeking a visionary Automation Senior Cloud Solution Architect to lead the technical design and implementation of this 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 position demands a strategic leader who thrives in complexity and is deeply committed to cultivating strong stakeholder relationships. You will play a key role in fostering a culture of innovation and collaboration, guiding cross-functional teams to deliver solutions that drive pricing transparency, operational efficiency, and market competitiveness.

The ideal candidate will bring a unique blend of technical depth and strategic foresight, with a proven track record of leveraging cutting-edge technologies to deliver end-to-end automation at scale. The role will interface 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 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 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, demonstrating knowledge of cloud services including computing, database management, application development, and integration services. Familiarity with cloud-native services (Azure), containerization (Docker, Kubernetes), and serverless architectures is 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: Experience building scalable, high-performance applications using .NET technologies (C#, .NET Core, ASP.NET, Entity Framework). Familiarity with Blazor or ASP.NET MVC is important.
• Integration with SAP and Salesforce: Ability to integrate .NET applications with SAP and Salesforce platforms using APIs and middleware solutions.
• Security and Compliance: Understanding of security practices for cloud-hosted applications, including secure authentication and authorization (OAuth, OpenID Connect) and compliance with industry standards.
• Scalability and High Availability: Designing applications that are scalable and resilient using load balancing, auto-scaling, and caching.
• Agile Development Practices: Strong background in Agile methodologies, backlog management, sprint planning, and releases in cloud environments.
• Strategic Problem Solving: Ability to address complex technical and integration challenges with data-driven decision making.

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 cloud solutions enabling scalable, flexible digital infrastructures.

Soft Skills and Others:

• Agile Collaboration: Experience working with Agile and Product teams, epics, user stories, sprints, and backlog management; able to collaborate with product owners, engineers, and scrum masters.
• Leadership in Communication and Reporting: Ability to prepare and present updates to senior leaders and stakeholders with clear metrics and insights.
• Cross-functional Collaboration: Experience coordinating hardware & software development teams and business owners.

Note: This description preserves the essential responsibilities and qualifications of the Automation Senior Cloud Solution Architect role and is presented in a clean, structured format for readability.