Solution Architect

Job Description

Solution Architect - NoBroker.com, ConvoZen.AI

About Us:

NoBroker.com is the world's largest brokerage-free real estate marketplace, dedicated to transforming

the real estate experience with cutting-edge products. Founded by IIT Bombay, IIT Kanpur, and IIM

Ahmedabad alumni in 2014, We've raised $366M from prominent investors like General Atlantic, Tiger

Global, and Saif Partners. Our comprehensive real estate ecosystem includes NoBrokerHood for

community management, NoBroker HomeServices for property management, and a range of services

like Legal Services, Rental Agreements, Packers & Movers, HomeLoans, Rent Payments, and more.

ConvoZen

ConvoZen is an enterprise-grade Unified Conversational Agent Platform that turns conversations into outcomes on a single AI Agent Stack. Orchestrate multilingual workflows across omnichannel agents with persistent context, governed execution, and 100% interaction visibility to surface sentiment, compliance risk, and resolution gaps so operations improve continuously at scale.

About the Role:

As we scale our Customer Engineering (Solution Delivery) function, we are looking for a seasoned Solution Architect who will be the technical compass for our delivery team, own end-to-end solution design for customer engagements, and translate complex business requirements into robust, production-ready AI architectures.

You will work directly with the Head of Customer Engineering, lead a team of 10 Generative AI engineers, and be the primary technical point-of-contact for customer stakeholders from RFP through go-live.

What You'll Do

• Own the end-to-end technical design of Agentic AI (primarily voice) solutions on our platform, spanning NLU, dialogue management, orchestration, and integrations.
• Produce detailed solution architecture documents, data-flow diagrams, integration blueprints, and PoC prototypes that map customer requirements to our platform capabilities.
• Define and govern integration patterns with customer back-end systems (CRMs, ERPs, telephony platforms, custom APIs) ensuring scalability and security.
• Evaluate trade-offs between build vs. configure and recommend optimal deployment topologies (cloud-native, on-premise, hybrid).

• Analyse customer RFPs / RFIs and develop technically sound, commercially compelling solution proposals and effort estimates.
• Create and present solution demos, architecture walk-throughs, and whitepapers to CTO-level stakeholders and procurement committees.
• Collaborate with the Sales team in responding to security questionnaires, compliance requirements, and technical due-diligence requests.

• Guide and upskill a team of Gen AI engineers on architecture best practices, design patterns, and platform internals.
• Conduct technical design reviews, code / configuration reviews, and milestone gate assessments throughout the delivery lifecycle.
• Establish and refine delivery playbooks, solution templates, and reusable accelerators to improve delivery velocity across engagements.

• Act as the primary bridge between customers technical teams and our internal product, platform, and engineering squads.
• Translate ambiguous business problems into clear technical specifications and acceptance criteria.
• Provide feedback loops to the Product team on capability gaps identified during customer engagements.

Who You Are (Qualifications)

• 5 – 7 years in solution architecture, technical consulting, or senior delivery roles with significant exposure to Conversational AI and/or Generative AI implementations.
• Hands-on delivery of production-grade conversational or voice AI systems (IVR modernisation, virtual assistants, contact-centre AI, or similar).
• Proven track record of responding to enterprise RFPs and authoring technical proposals that won business.

• Deep understanding of ASR / TTS pipelines, NLU frameworks (Rasa, Dialogflow, custom LLM-based), and voice channel integrations (SIP, WebRTC, Twilio, Genesys, etc.).
• Solid grasp of LLM fundamentals — prompt engineering, RAG architectures, fine-tuning, hallucination mitigation, and responsible AI practices.
• Familiarity with agentic AI patterns: tool-use / function calling, multi-agent orchestration, memory & context management.
• Experience designing low-latency, streaming voice pipelines end-to-end.

• Hands-on exposure to at least one major cloud platform (AWS / Azure / GCP) — services, IAM, networking, and cost optimisation.
• Working knowledge of containerisation and orchestration: Docker, Kubernetes (K8s clusters, Helm charts, resource management).
• Understanding of CI/CD practices, API gateway patterns, and observability tooling (logging, tracing, alerting).

• Exceptional ability to create clear architecture diagrams (using tools such as Lucidchart, draw.io, Miro, or Visio).
• Strong written and verbal communication skills; comfortable presenting to both technical and executive audiences.
• Ability to author concise, structured technical proposal documents and SOW artefacts.

• A high-impact founding role shaping the architecture practice within a rapidly scaling AI company.
• Direct exposure to cutting-edge Agentic AI product and diverse enterprise customers across verticals.
• Collaborative, engineering-driven culture with minimal hierarchy and fast decision-making.

Build AI that talks. Architect the future of human–machine conversations.