Solution Architect

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.
The core responsibilities for the job include the following:
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, and Amazon Connect.
Define integration approaches with SIP trunks, PBX systems, PSTN, and cloud telephony providers.
Technical Demos and 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, and Security and compliance teams.
Translate business requirements into solution architectures and deployment approaches.
Solution Documentation and 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, and RFP technical responses.
Infosec and 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 a 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.
Requirements:
Telephony and 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, and 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, and Telephony infrastructure.
Documentation and Architecture Skills:
Ability to create clear technical artifacts such as: Architecture diagrams, Solution design documents, Security architecture explanations, Integration documentation, Communication and 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.

Experience
6-9 yrs