Role Overview:

The Lead - Voice & Conversational AI will own the design, development, and delivery of enterprise-grade conversational and voice AI systems. This is a hands-on leadership role requiring deep technical expertise, strong system-design skills, and the maturity to partner with customer technology leaders (CTOs, CIOs, Heads of Digital/AI).

You will lead from the front architecting, building, reviewing, and scaling production systems, while also ensuring predictable project delivery across complex enterprise environments.

Key Responsibilities:

1. Hands-On Technical Leadership:

- Architect, build, and deploy enterprise-scale Conversational AI and Voice AI systems.

Remain deeply hands-on with:

- Conversation design & orchestration

- NLU/NLP pipelines

- Voice ASR/TTS integrations

- LLM-powered dialogue systems

- Write, review, and optimize production-quality code and system components.

- Lead technical design reviews and ensure high engineering standards.

2. Conversational & Voice AI Expertise:

- Design multi-turn, context-aware conversational flows for complex enterprise use cases (customer support, operations, internal automation, etc.).

Build and optimize:

- Intent classification, entity extraction, and dialogue management

- LLM-driven conversation strategies (prompting, grounding, guardrails)

- Voice AI systems including speech recognition, speech synthesis, and call orchestration

- Ensure accuracy, reliability, latency, and resilience across high-volume voice and chat channels.

3. Building Reliable Enterprise Systems at Scale:

- Design scalable, fault-tolerant, and secure architectures capable of handling millions of conversations.

Ensure enterprise readiness:

- High availability and performance SLAs

- Monitoring, logging, and alerting

- Data privacy, compliance, and governance

- Work closely with platform, DevOps, and security teams to deploy systems in cloud and enterprise environments.

4. Customer Technology Partnership:

- Act as a trusted technical advisor to customer technology leaders.

Engage directly with:

- CTOs, CIOs, Enterprise Architects, and AI Heads

- Translate customer business and technical requirements into robust AI system designs.

- Lead solution deep-dives, technical workshops, and architecture discussions with customers.

5. Project Delivery & Execution Excellence:

- Own end-to-end technical delivery of conversational AI programs.

Work closely with product, engineering, and delivery teams to:

- Define scope, timelines, and milestones

- Identify risks early and drive mitigation plans

- Ensure projects are delivered on time, within scope, and with high quality.

- Drive continuous improvement through post-deployment reviews and performance analysis.

6. Mentorship & Capability Building:

- Mentor and guide engineers, conversation designers, and data scientists.

Establish best practices for:

- Conversation design

- Voice AI engineering

- LLM integration and evaluation

- Build a strong culture of ownership, quality, and customer obsession.

Required Qualifications:

Technical Skills & Experience:

- 8+ years of experience in AI/ML or software engineering, with significant hands-on experience in Conversational AI and/or Voice AI.

Proven experience building and deploying:

- Chatbots, voice bots, or virtual assistants in production enterprise environments.

Strong understanding of:

- NLP/NLU concepts

- Dialogue management frameworks

- LLMs and prompt engineering

- ASR/TTS systems and telephony integrations

- Solid system design skills for high-scale, distributed systems.

Enterprise & Delivery Experience:

- Experience delivering AI solutions to large enterprises.

Strong project execution skills with the ability to manage:

- Complex integrations

- Multiple stakeholders

- Tight timelines

- Comfortable working in customer-facing roles with senior technical stakeholders.

Soft Skills & Leadership:

- Strong communication skills - able to explain complex AI systems clearly to technical and non-technical audiences.

- High ownership mindset with the ability to operate in an entrepreneurial, fast-growing environment.

- Structured, analytical, and detail-oriented approach to problem solving.

- Collaborative team player with strong values and integrity.

Nice to Have:

- Experience with contact center platforms, IVR systems, or CCaaS integrations.

- Exposure to regulated industries (BFSI, healthcare, telecom).

- Experience working with multi-language and global deployments.

- Prior experience in a high-growth startup or enterprise SaaS environment.

Why Join SimpliAI:

- Opportunity to build next-generation enterprise AI systems at scale.

- Work with some of the largest enterprises globally.

- High-impact role with ownership over critical AI capabilities.

- Collaborative culture focused on innovation, execution, and customer value.