Senior Automation Solutions Architect

We are seeking a visionary Automation Solutions 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.

Key Responsibilities:

• Champion software excellence and talent development by promoting strong SDLC practices including clean architecture, automated testing, and scalable design.
• 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.
• Develop and maintain front-end (React, TypeScript, Next.js) and back-end (Python, FastAPI, Node.js) layers that support GenAI workflows and agentic interactions.
• 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).
• Architect and optimize ETL pipelines for real-time and batch data processing, ensuring seamless data flow between GenAI services, databases, and user interfaces.
• Deploy and scale services using Docker, Kubernetes, and CI/CD pipelines, applying MLOps best practices for monitoring, versioning, and performance tuning of AI components.
• Work closely with AI researchers, product managers, and delivery teams to align technical execution with strategic goals.

Required Skills and Qualifications:

• Cloud Platform Proficiency: Solid experience (minimum 5 years) in architecting, deploying, and managing applications across leading cloud platforms, demonstrating comprehensive knowledge of cloud services including computing, database management, application development, and integration services.
• 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, understanding architecture design principles and patterns.
• .NET Development Skills: Extensive hands-on experience in building scalable, high-performance applications using .NET technologies, with strong capabilities in C#, .NET Core, ASP.NET, and Entity Framework.
• Integration with SAP and Salesforce: Demonstrated ability to integrate .NET applications with both SAP and Salesforce platforms, employing APIs and middleware solutions.
• Security and Compliance: Deep understanding of security practices related to cloud-hosted applications, including implementing secure authentication and authorization mechanisms.
• Scalability and High Availability: Proven expertise in designing applications that are highly scalable and resilient, leveraging cloud scalability features.
• Agile Development Practices: Strong background in Agile methodologies, adept at managing product backlogs, user stories, sprint planning, and releases.
• Strategic Problem Solving and Analytical Thinking: Ability to address complex technical and integration challenges with a strategic mindset.

Benefits:

• Opportunity to work on cutting-edge technology and develop skills in AI-driven solutions.
• Collaborative environment with experienced professionals.
• Flexible work arrangement options.

Others:

• Ability to engage in rapid prototype development using iterative techniques.
• Direct experience managing relationships with outsourcing and consulting partners.
• Deep understanding of cloud solutions and architectures, enabling scalable, flexible, and resilient digital infrastructures.