SimpliAI - Lead - Voice & Conversational AI

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.