IoT Solution Architect - Embedded Systems/AI

Role & responsibilities : Architect & Delivery Expert Embedded Systems & AI

Key Responsibilities :

• Design and define end-to-end technical and solution architecture aligned with business and engineering requirements.

• Provide architecture and technical leadership for embedded systems, firmware, software platforms, cloud services, AI-enabled applications, and engineering tools.

• Lead complete project delivery from requirement analysis, estimation, architecture, development, testing, validation, release, and production deployment.

• Drive Agile/Scrum delivery, sprint planning, milestone tracking, release management, risk management, and stakeholder communication.

• Mentor engineers and promote knowledge sharing, technical excellence, and adoption of modern AI-driven development practices.

Technical Skills :

• Hands-on experience with Embedded C/C++, Python, Linux, device interfaces, firmware, hardware-software integration, debugging, and system-level validation.

• Work with embedded hardware, SoCs, microcontrollers, processors, communication interfaces, and low-level software components.

• Hands-on experience with Artificial Intelligence, Generative AI, Large Language Models (LLMs), AI agents, prompt engineering, RAG, automation, and AI-assisted engineering workflows.

• Integrate LLMs and AI APIs into applications and internal engineering platforms.

• Develop AI-powered automation solutions for analysis, debugging, verification, documentation, root-cause analysis, and productivity improvement.

• Design scalable APIs, services, microservices, integrations, and data-processing pipelines.

• Support CI/CD, DevOps, automation, cloud deployment, containerization, and software release processes.

Stakeholder Management :

• Coordinate with embedded developers, software engineers, QA/verification teams, DevOps, product teams, vendors, customers, and other stakeholders.

• Work closely with customers and senior management to ensure technical solutions meet business objectives, quality expectations, and delivery commitments.