Your Role : Your Profile : Required Skills :

- 12+ years of experience in Speech Technologies, Voice Assistants, or Conversational AI solutions.
- Robust expertise in Automatic Speech Recognition (ASR), Natural Language Understanding (NLU), Text-to-Speech (TTS), and Voice Assistant technologies.
- Deep understanding of speech processing pipelines, wake-word detection, intent recognition, dialogue management, and voice command execution.
- Hands-on experience with Python, C++, Java, or Embedded Software development platforms.
- Experience working with Linux, Android Automotive OS (AAOS), QNX, and embedded platforms.
- Expertise in speech performance evaluation, KPI measurement, and quality optimization.
- Experience with automotive voice platforms such as Cerence, Amazon Alexa Auto, Google Assistant, SoundHound, Nuance, or proprietary OEM voice assistants.
- Knowledge of Generative AI, Conversational AI, and Large Language Model (LLM)-based voice assistant technologies.
- Strong understanding of Infotainment, Digital Cockpit, Connected Vehicle, Navigation, Telematics, and IVI systems.
- Experience integrating voice solutions with vehicle functions including navigation, media, climate control, telephony, and vehicle settings.
- Familiarity with multi-language and multi-region voice assistant deployments.
- Experience with DevOps, CI/CD pipelines, and Agile development methodologies.
- Strong customer-facing communication, stakeholder management, and presentation skills.
- Ability to lead technical discussions, workshops, architecture reviews, and solution assessments.

Preferred Skills

- Experience working with Automotive OEMs or Tier-1 suppliers.
- Exposure to cloud-native speech platforms and hybrid voice architectures.




- Experience with multimodal HMI and voice-driven user experiences.
- Knowledge of AI-powered personalization and intelligent assistant ecosystems.
- Familiarity with automotive software development lifecycle and compliance requirements.

In This Role, You Will :

- Define and drive the architecture of automotive speech and voice assistant solutions.
- Design scalable speech platforms supporting embedded, cloud, and hybrid deployment models.
- Establish best practices for speech integration, performance optimization, scalability, reliability, and maintainability.
- Lead the implementation and integration of ASR, NLU, TTS, wake-word detection, and conversational AI components.
- Collaborate with infotainment, digital cockpit, connected vehicle, and HMI teams to enable seamless voice interactions.
- Define speech quality KPIs, validation strategies, and performance benchmarking frameworks.
- Drive root-cause analysis and optimization of speech accuracy, latency, responsiveness, and overall user experience.
- Work with Business Development and account teams on presales solutioning, RFI/RFP responses, and customer proposals.
- Support customer workshops, technical discussions, and solution presentations related to automotive voice platforms.
- Mentor engineering teams on speech technologies, integration approaches, and architectural best practices.
- Collaborate with OEMs and Tier-1 suppliers to design and deploy innovative voice-enabled experiences.
- Evaluate emerging trends in Conversational AI, Generative AI, and LLM-powered voice assistants.
- Drive the adoption of intelligent in-vehicle assistants and next-generation voice interaction technologies.
- Contribute to strategic technology decisions, innovation initiatives, and long-term product roadmaps.

About Capgemini in India :

📌 Speech Architect (Bengaluru)
🏢 Capgemini
📍 Bengaluru