Speech Architect

Capgemini Engineering; Bengaluru Urban; On-site; INR 3,500,000 - 7,000,000; Full time

Job summary

Capgemini Engineering in Bengaluru seeks a Speech Architect to lead the design, development, and deployment of advanced automotive speech and voice assistant solutions across embedded, cloud, and hybrid environments. You will collaborate with OEMs and Tier-1 suppliers to enable next-generation voice experiences.

You will drive architecture, define KPIs, mentor teams, and evaluate Generative AI and LLM-powered voice capabilities, shaping the future of in-vehicle conversational AI within

Qualifications

• 12+ years of experience in Speech Technologies and Voice Assistant platforms.
• Strong expertise in ASR, NLU, TTS, and Conversational AI systems.
• Deep understanding of speech processing pipelines and wake-word detection.
• Experience designing automotive voice assistant solutions.
• Hands‑on experience with Python, C++, Java, or Embedded Software development.
• Strong experience with Linux, Android Automotive OS, QNX, and embedded platforms.
• Expertise in speech performance evaluation and KPI measurement.
• Experience with voice platforms such as Cerence, Alexa Auto, Google Assistant, Nuance.
• Knowledge of Generative AI, Conversational AI, and LLM-powered voice assistants.
• Strong understanding of Infotainment and IVI systems.
• Experience integrating voice with navigation, media, telephony, climate control.
• Strong customer engagement and consulting skills.
• Ability to lead architecture reviews and customer discussions.

Responsibilities

• Define and drive the architecture of automotive speech and voice assistant solutions.
• Design scalable speech platforms across embedded, cloud, and hybrid deployments.
• Establish best practices for speech integration, performance, and user experience.
• Support presales activities, including solutioning and customer workshops.
• Engage with customers to define technical roadmaps and strategies.
• Lead integration of ASR, NLU, TTS, wake-word, dialogue management, and AI components.
• Collaborate with Infotainment and IVI teams for seamless voice interaction.
• Define KPIs, validation frameworks, and performance measurement strategies.
• Drive root-cause analysis and optimization of speech accuracy and latency.
• Mentor engineering teams on speech technologies and integration methodologies.
• Collaborate with OEMs and Tier-1 suppliers on voice-first experiences.
• Evaluate Generative AI and LLM-based voice assistant technologies.
• Contribute to long-term technology roadmaps and strategic planning.

Skills

ASR/NLU/TTS

Speech platform design

Embedded systems

Python

C++

Java

AAOS/Linux

Pre-sales support

Architecture leadership

Conversational AI

LLM/Generative AI

Voice integration

Tools

Cerence

Alexa Auto

Google Assistant

Nuance

Job description

oin a team driving the future of in-vehicle voice experiences and conversational AI. As a Speech Architect, you will lead the design, development, and deployment of advanced speech and voice assistant solutions for next-generation automotive platforms. You will work at the intersection of speech technologies, AI, infotainment, and connected vehicle ecosystems to deliver intelligent, intuitive, and seamless user experiences.

Your Role

You will be responsible for defining and driving the architecture of automotive speech and voice assistant solutions across embedded, cloud, and hybrid environments. Working closely with OEMs, Tier-1 suppliers, product teams, and engineering organizations, you will provide technical leadership, support presales activities, and drive innovation in conversational AI and next-generation in-vehicle voice assistants.

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 deployments.
• Establish best practices for speech integration, system performance, scalability, reliability, and user experience.
• Support presales activities, including technical solutioning, customer workshops, RFI/RFP responses, and solution proposals.
• Engage with customers and stakeholders to define technical roadmaps and voice assistant strategies.
• Lead the implementation and integration of ASR, NLU, TTS, wake-word detection, intent recognition, dialogue management, and conversational AI components.
• Collaborate with Infotainment, Digital Cockpit, Connected Vehicle, Navigation, and HMI teams to enable seamless voice interactions.
• Define speech quality KPIs, validation frameworks, and performance measurement strategies.
• Drive root-cause analysis and optimization of speech accuracy, latency, robustness, and overall customer experience.
• Mentor engineering teams on speech technologies, architecture best practices, and integration methodologies.
• Collaborate with OEMs and Tier-1 suppliers to develop innovative voice-first automotive experiences.
• Evaluate emerging technologies in Conversational AI, Generative AI, and Large Language Model (LLM)-based voice assistants.
• Drive the adoption of next-generation voice experiences and intelligent in-vehicle assistants.
• Contribute to long-term technology roadmaps, innovation initiatives, and strategic product planning.

Your Profile

Mandatory Skills:

• 12+ years of experience in Speech Technologies and Voice Assistant platforms.
• Strong expertise in Automatic Speech Recognition (ASR), Natural Language Understanding (NLU), Text-to-Speech (TTS), and Conversational AI systems.
• Deep understanding of speech processing pipelines, wake-word detection, intent recognition, dialogue management, and voice command execution.
• Experience designing and deploying automotive voice assistant solutions.
• Hands‑on experience with Python, C++, Java, or Embedded Software development.
• Strong experience with Linux, Android Automotive OS (AAOS), QNX, and embedded platforms.
• Expertise in speech performance evaluation, validation methodologies, and KPI measurement.
• Experience with voice platforms such as Cerence, Amazon Alexa Auto, Google Assistant, SoundHound, Nuance, or OEM‑specific voice assistants.
• Knowledge of Generative AI, Conversational AI, and LLM‑powered 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, telephony, climate control, and vehicle settings.
• Strong customer engagement, stakeholder management, and technical consulting skills.
• Ability to lead technical workshops, architecture reviews, and customer discussions.

Preferred Skills:

• Experience with multi‑language and multi‑region voice assistant deployments.
• Familiarity with cloud‑based speech services and hybrid voice architectures.
• Knowledge of DevOps practices, CI/CD pipelines, and Agile development methodologies.
• Experience working with global automotive OEMs and Tier‑1 suppliers.
• Strong problem‑solving skills with the ability to drive complex architectural decisions.
• Experience leading geographically distributed engineering teams.

What You'll Love About Working Here

• Opportunity to architect next‑generation automotive voice and conversational AI solutions.
• Exposure to cutting‑edge technologies in Speech AI, Generative AI, and LLM‑powered assistants.
• Collaboration with leading automotive OEMs, Tier‑1 suppliers, and technology partners.
• A culture that encourages innovation, continuous learning, and technical excellence.
• Opportunities to influence future mobility experiences and intelligent vehicle ecosystems

Capgemini is an AI‑powered global business and technology transformation partner, delivering tangible business value. We imagine the future of organizations and make it real with AI, technology and people. With our strong heritage of nearly 60 years, we are a responsible and diverse group of 420,000 team members in more than 50 countries. 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 Tiruchirappalli.