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

Preferred candidate profile :

Key Responsibilities:

- Define and design end-to-end technical and solution architectures aligned with business and engineering requirements.
- Provide technical and architectural leadership across embedded systems, firmware, software platforms, cloud services, AI-enabled applications, and engineering tools.
- Work hands-on with Embedded C/C++, Python, Linux, firmware, device interfaces, hardware-software integration, debugging, and system-level validation.
- Work with embedded hardware, SoCs, microcontrollers, processors, communication interfaces, and low-level software components.
- Lead hardware/software integration, system bring-up, debugging, performance optimization, and production issue resolution.
- Design and implement solutions leveraging AI, Generative AI, LLMs, AI agents, prompt engineering, RAG, and AI-assisted engineering workflows.
- Integrate LLMs and AI APIs into applications and internal engineering platforms.
- Develop AI-powered automation for analysis, debugging, verification, documentation, root-cause analysis, and engineering productivity.
- Evaluate AI models, APIs, frameworks, and deployment approaches based on accuracy, latency, cost, security, and scalability.
- Develop Python-based automation and AI integration workflows for engineering and delivery use cases.
- Design scalable APIs, microservices, integrations, and data-processing pipelines.
- Prepare architecture documents, solution designs, technical specifications, POCs, and implementation roadmaps.
- Lead projects through the complete delivery lifecycle, including requirements, estimation, architecture, development, testing, validation, release, and production deployment.
- Collaborate with embedded developers, software engineers, QA/verification, DevOps, product teams,



vendors, customers, and other stakeholders.
- Drive Agile/Scrum delivery, sprint planning, milestone tracking, release management, risk management, and stakeholder communication.
- Establish and promote development, architecture, security, quality, and engineering best practices.
- Conduct technical and architecture reviews and provide guidance on complex implementation decisions.
- Identify and resolve technical risks, dependencies, performance bottlenecks, and delivery challenges.
- Support CI/CD, DevOps, automation, cloud deployment, containerization, and software release processes.
- Troubleshoot complex embedded, software, AI integration, and production issues.
- Mentor engineers, promote knowledge sharing, and drive adoption of contemporary AI-enabled engineering practices.
- Work closely with customers and senior management to ensure solutions meet business objectives, quality standards, and delivery commitments.

Core Skills

Architecture & Leadership:
Solution Architecture, Technical Architecture, System Design, Integration Architecture, Technical Leadership, Project Delivery, Stakeholder Management, Risk Management, Release Management

Embedded & Software:
Embedded Systems, Embedded C/C++, Python, Linux, Firmware, SoC, Microcontrollers, Processors, Device Interfaces, Hardware-Software Integration, System Debugging, System Validation, Performance Optimization

AI & GenAI:
Artificial Intelligence, Generative AI, LLMs, AI Agents, Prompt Engineering, RAG, LLM APIs, AI Automation, AI-assisted Engineering, AI Model Evaluation

Cloud & Software Engineering:
REST APIs, Microservices, Cloud Architecture, Data Pipelines, DevOps, CI/CD, Containerization, Automation

Delivery & Process:
Agile/Scrum, Sprint Planning, Milestone Tracking, Release Management, Production Support, Customer Management, Cross-functional Collaboration

📌 Iot Solution Architect (Ahmedabad)
🏢 VeriFast Technologies
📍 Ahmedabad