Solutions Architect - Enterprise Voice AI
Customer-Facing / Pre-Sales
Location: Bengaluru
Role Overview
We are looking for a
customer-facing Solutions Architect who will work closely with enterprise clients to design and demonstrate Voice AI solutions integrated with their telephony infrastructure.
This role is focused on
solution architecture, enterprise engagement, technical demos, and documentation, rather than core platform development.
You will work directly with
customer telephony teams, IT teams, and infosec teams to design and deploy Voice AI solutions that integrate with platforms like Genesys, Avaya, Cisco, and cloud telephony providers.
The role requires the ability to
manage multiple enterprise engagements simultaneously and act as a bridge between
Sales, Delivery, and Product teams.
Key Responsibilities
Enterprise Solution Architecture
- Design Voice AI solution architectures for enterprise deployments
- Integrate AI voice agents with telephony platforms such as:
Genesys
Avaya
Cisco Contact Center
NICE CXone
Amazon Connect
- Define integration approaches with SIP trunks, PBX systems, PSTN, and cloud telephony providers
Technical Demos & Proof of Concepts
- Build and run technical demonstrations and POCs for enterprise customers
- Demonstrate Voice AI capabilities in real telephony environments
- Support customer pilots and early deployments
Enterprise Customer Engagement
- Conduct technical discovery sessions with enterprise stakeholders including:
Contact center teams
IT infrastructure teams
Telephony architects
Security and compliance teams
- Translate business requirements into solution architectures and deployment approaches
Solution Documentation & Technical Artifacts
Prepare and share solution documentation with customers, including:
- Solution architecture documents
- Integration design documents
- Deployment architecture diagrams
- API integration documentation
- Security and compliance documentation
- RFP technical responses
Infosec & Compliance Discussions
- Work with customer infosec and compliance teams during deployment reviews
- Provide documentation around:
Architecture
Data flows
Security controls
Hosting and data residency
- Support enterprise security questionnaires and architecture reviews
Cross-Team Collaboration
Work closely with
Sales teams during enterprise deals.
Coordinate with
Delivery teams during implementations.
- Ensure smooth transition from pre-sales to deployment
Multi-Customer Ownership
Manage multiple enterprise engagements simultaneously.
- Act as the primary technical point of contact during pre-sales and early deployment stages
- Ensure customer success during pilots and solution rollout
Required Skills & Experience
Telephony & Contact Center Systems
Strong familiarity with enterprise telephony ecosystems:
- Genesys
- Avaya
- Cisco Contact Center
- NICE CXone
- Amazon Connect
Understanding of:
- SIP / RTP
- PSTN
- PBX systems
- IVR flows
- SIP trunking
- Call routing
Conversational AI / Voice Bots
Experience working with:
- Voice bots
- Conversational AI platforms
- Contact center automation solutions
Nice to have experience with:
- Speech technologies (STT / TTS)
- LLM-based conversational systems
- Voice AI platforms
Enterprise Solution Architecture
Experience designing enterprise integrations involving:
- APIs
- CRM systems
- Contact center software
- Telephony infrastructure
Documentation & Architecture Skills
Ability to create clear technical artifacts such as:
- Architecture diagrams
- Solution design documents
- Security architecture explanations
- Integration documentation
Communication & Customer Engagement
- Excellent communication and presentation skills
- Ability to engage with enterprise stakeholders
- Comfortable running technical workshops and demos
Ideal Candidate Profile
We are looking for someone who:
Has strong understanding of
enterprise contact center systems
Is comfortable
engaging with enterprise customers
Can
run demos and solution workshops
Is capable of managing
multiple enterprise customers simultaneously
- Works well with sales and delivery teams
Nice to Have
- Experience with LLMs or generative AI
- Experience with conversational AI platforms
- Experience in BFSI or large enterprise deployments
- Experience working with CPaaS platforms
