GenAI & Digital SW Architect

Role Overview

- Lead a multi-disciplinary engineering team focused on building scalable applications, GenAI-based solutions, cloud platforms, and user-centered interfaces.

- Guidance for technical strategy, solution architecture, and delivery excellence across AI/ML, DevOps, Cloud Infrastructure, Full-Stack Development, UX Research, and Data Science domains.

- Strong hands-on technical leadership, excellent communication with stakeholders, and the ability to drive innovation aligned to business value.

- Work experience in Requirements engineering, Design & Development, Reviews & Releases

- Content based Technical Review & responsible to present the technical approach to our partners

- Mentor engineering members, specialist

- Run Engineering Council meeting with progress updates on identified projects & send status reports

- To provide roadmap of Multi-market competence topics and support strategic discussions

- Knowledge on project acquisition and deliverables

- Contribute in developing competence in emerging areas

Key Responsibilities

Technical Leadership & Architecture

• Define the end-to-end software and AI solution architecture, ensuring scalability, reliability, and security.

• Lead the design and implementation of GenAI solutions, including model selection, fine-tuning, vector stores, agentic frameworks, evaluation pipelines, and use-case feasibility.

• Architect full-stack, microservice-based applications and support both web and mobile development teams.

• Oversee cloud infrastructure and DevOps ecosystem (CI/CD pipelines, etc)

Team Leadership & Delivery

• Lead and mentor a cross-functional team with capabilities in:

  • DevOps & Cloud Infrastructure

  • AI/ML & GenAI Engineering

  • Full Stack Application Development

  • UX Research & UI/Interaction Design

  • Data Science

• Ensure engineering excellence, coding standards, and documentation practices across the team.

• Guide backlog prioritization, estimation, and risk management with Product Owners and Program Managers.

Stakeholder Engagement

• Work closely with internal business units, customers, and product stakeholders to translate business needs into software and AI solution architectures.

• Communicate strategy, progress, and results effectively across technical and non-technical audiences.