Solution Architect-

Gnani Innovations Private Limited.; Bengaluru; On-site; INR 4,000,000 - 6,400,000; Full time

Job summary

Gnani Innovations Private Limited. is seeking a seasoned technologist to act as the technical face of Gnani's full stack, from speech models to agentic AI platforms.

You will learn the complete stack, design end-to-end enterprise solutions, and build prototypes and POCs for real customer use cases. The role requires deep software engineering fundamentals, hands-on cloud architecture experience, and the ability to explain complex concepts to both technical and non-technical audiences.

Qualifications

• 5–8 years in tech with at least 2 years in customer-facing solutions, pre-sales, or consulting.
• Strong software engineering foundation with ability to ship real systems and prototype code.
• Solid understanding of modern AI, LLMs, speech models, and agent stacks in production.
• Experience with cloud architecture, Kubernetes, APIs, networking, scaling, and security fundamentals.

Responsibilities

• Learn Gnani's full stack end to end and explain how pieces fit.
• Design end-to-end enterprise solutions including use case, integrations, data flows, deployment, and security.
• Build prototypes and run POCs on real customer use cases.
• Answer technical questions in customer meetings and involve specialists as needed.
• Lead technical aspects of proposals and RFP responses.
• Speak at events, write reference architectures, and provide technical explainers.

Skills

Customer-facing solutions

Cloud architecture

Prototyping & PoCs

Technical communication

Tools

Kubernetes

REST APIs

Job description

Gnani.ai builds voice AI for India. We make our own speech models, language models (the Evon family), and agentic AI platforms that work across [40+] Indian languages. Banks, insurers, and telecom companies use our AI agents to handle millions of customer conversations. In August 2026, we launched Gnani Artha, India's sovereign AI stack, and open-sourced Evon 3.3.

About the role

You will be a technical face of Gnani's full stack: speech models, language models, agentic AI platforms, and the infrastructure they run on. You are a strong generalist who can learn fast and go deep where a deal needs it. You will design end-to-end solutions for customers, prove them with prototypes and POCs, and represent Gnani to customers, partners, and the industry.

This is a hands-on role. You build and connect things across the stack, then explain them.

What you will do

Learn our full stack end to end: Prisma (ASR), Timbre (TTS), the Evon models, our Agentic AI platform, Plexus, and the Speech API. Be able to explain how the pieces fit and where each one shines.

Design end-to-end solutions for enterprise deals: use case, agent design, integrations, data flows, deployment model, and security.

Build prototypes and run POCs on real customer use cases, connecting our platforms to the customer's systems.

Answer technical questions across the stack in customer meetings. Bring in the LLM, Speech, or Partnerships specialists when a question needs deeper expertise.

Own the technical answers on deployment options: cloud, private cloud, on-prem. Work with DevOps on sizing and scaling.

Handle security questionnaires, architecture reviews, and compliance questions (DPDP, RBI, IRDAI, TRAI), working with our DevOps, Legal, and Compliance teams.

Lead the technical side of proposals and RFPs.

Speak at events and webinars. Write reference architectures, demos, and technical explainers.

Bring customer and market insight back to the product, platform, and AI teams.

Coach sales and delivery teams on how our stack works.

What we are looking for

5–8 years in tech, with at least 2 years in a customer-facing solutions, pre-sales, or consulting role.

Strong software engineering base. You have built and shipped real systems, and you can still write code when a prototype needs it.

Working knowledge of modern AI: how LLMs, speech models, and AI agents work, and how they behave in production. You do not need to be a researcher, but you must understand the stack.

Comfortable with cloud architecture: Kubernetes, APIs, networking basics, scaling, and security fundamentals.

Hands-on with enterprise integrations: REST APIs, webhooks, event streaming, connecting to CRMs or core systems.

Fast learner. You pick up new parts of a stack quickly and go deep when a deal needs it.

Can explain hard ideas simply, to technical and non-technical people.

Calm and clear when customers push back or ask hard questions.

Comfortable on stage, or keen to get there.

Good to have

Experience with voice AI, contact centre tech, or telephony (SIP, WebRTC, CCaaS).

Experience with BFSI, insurance, or telecom customers.

Exposure to on-prem or regulated deployments and data residency.

Talks, blogs, demos, or open-source work you have published.

Work on India's own AI stack, built in-house from speech to language models to agents.

Your hands on the whole stack, not just the slides.

See your work used at large scale by some of India's biggest companies.

Direct access to product and AI leadership, and a real say in what we build next.

Skills Required

Primary Skills Agentic AI / LLMs Speech & Generative AI