Speech Architect

Capgemini; Bengaluru; On-site; INR 4,500,000 - 7,500,000; Full time

Job summary

Capgemini in India is seeking a senior architect to define and drive the architecture of scalable speech and voice assistant platforms for automotive applications. You will work with customers, OEMs, product teams, and engineering to design embedded, cloud, and hybrid solutions while advancing Generative AI and next-gen in-vehicle assistants.

You will lead integration of ASR, NLU, TTS, wake-word, and conversational AI components, mentor teams, and engage with OEMs and Tier-1 suppliers to push

Qualifications

• 12+ years in Speech Technologies, Voice AI, or Conversational AI.
• Deep knowledge of ASR, NLU, TTS, and Voice Assistant tech.
• Strong understanding of speech pipelines, wake-word, and dialogue management.
• Hands-on with Python, C++, or embedded software development.
• Experience with Linux, AAOS, QNX on embedded platforms.
• Experience with automotive voice platforms and KPI-driven quality.
• Knowledge of Generative AI, LLM-based voice assistants, and AI personalization.
• Familiarity with Infotainment, Connected Vehicle, and IVI systems.
• Ability to lead customer-ready discussions and solution architecture.

Responsibilities

• Define and drive architecture for automotive speech and voice assistants.
• Design scalable platforms for embedded, cloud, and hybrid deployments.
• Establish best practices for speech integration, performance, and reliability.
• Lead implementation of ASR, NLU, TTS, wake-word, and conversational AI.
• Collaborate with infotainment, digital cockpit, and HMI teams for seamless voice.
• Define speech quality KPIs and benchmarking frameworks.
• Drive root-cause analysis to optimize speech accuracy and latency.
• Support presales, RFI/RFP responses, and customer proposals.
• Mentor engineering teams on speech technologies and integration.
• Collaborate with OEMs and Tier-1 suppliers on voice-enabled experiences.
• Explore trends in Generative AI and LLM-powered assistants.
• Contribute to long-term product roadmaps and strategic tech decisions.

Skills

Speech technologies

ASR

NLU

TTS

Voice assistants

Python

C++

Embedded software

Linux/AAOS/QNX

CI/CD

Tools

Cerence

Amazon Alexa Auto

Google Assistant

Nuance

Job description

Your Role

You will be responsible for defining and driving the architecture of scalable speech and conversational AI platforms for automotive applications. Working closely with customers, OEMs, product teams, and engineering organizations, you will architect embedded, cloud, and hybrid voice solutions while driving innovation in Generative AI and next-generation in-vehicle assistants.

Your Profile

Required Skills

• 12+ years of experience in Speech Technologies, Voice Assistants, or Conversational AI solutions.
• Strong 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.

in India

We deliver end-to-end services and solutions with our deep industry expertise and strong partner ecosystem, leveraging our capabilities across strategy, technology, design, engineering and business operations. The Group reported 2024 global revenues of 22.1 billion.Capgemini in India comprises nearly 235,000 team members working across 13 locations: Bangalore, Bhubaneswar, Chennai, Coimbatore, Gandhinagar, Gurugram, Hyderabad, Kolkata, Mumbai, Noida, Pune, Salem, and Tiruchirirappalli.