Presales Solutions Architect

Kanerika Inc; Hyderabad; On-site; INR 2,800,000 - 4,200,000; Full time

Job summary

Kanerika Inc. in Hyderabad seeks a Presales Solution Architect to shape data and AI solution proposals.

You will partner with sales, delivery, and product teams to understand client requirements, design scalable architectures, and create compelling narratives and value propositions. Day-to-day work includes discovery workshops, creating solution outlines, proposals, demos, and supporting RFP/RFI responses while staying current with platforms like Microsoft Fabric, Databricks, Snowflake, and

Qualifications

• Experience in solution architecture for data, analytics, and AI platforms.
• Presales activities including requirements discovery, proposal creation, and RFP/RFI responses.
• Knowledge of data modernization, migration, integration and governance concepts.
• Ability to design end-to-end enterprise AI solutions with generative AI and ML workflows.
• Strong communication, storytelling and stakeholder management skills.

Responsibilities

• Conduct discovery workshops with clients to elicit requirements.
• Define technical and functional solution outlines for proposals.
• Prepare proposals and presentations for prospective and existing clients.
• Support RFP/RFI responses with accurate estimations and roadmaps.
• Create reference architectures and demos for client engagements.
• Engage in technical discussions and proof-of-concept initiatives with clients.

Skills

Solution architecture

Presales activities

Requirements discovery

Proposal creation

RFP/RFI responses

Estimation & roadmap

Technical storytelling

Stakeholder management

Collaboration with engineering

Tools

Microsoft Fabric

Databricks

Snowflake

Power BI

Azure services

Job description

Kanerika Inc. helps Fortune 500 companies and large enterprises transform their data into actionable decisions through advanced data and AI solutions. Founded in 2015 and headquartered in Austin, the company operates delivery centers across the US, India, and Singapore, providing end-to-end services in enterprise AI, data modernization, migration, analytics, integration, governance, and automation. Kanerika’s agent portfolio includes FLIP for migration and DataOps, Karl for self-service AI analytics, KlarityIQ for document intelligence, and Klara for compliance and contract review, all delivered as production-grade solutions. As a Microsoft Top 1% Fabric Partner, a Databricks partner, and an Everest Group-recognized Most Promising Data and AI Specialist, Kanerika works closely with leading technology platforms. The company is ISO 9001, 27001, and 27701 certified, SOC 2 compliant, and maintains a 95% client retention rate built on measurable outcomes.

Role Description

The Presales Solution Architect is a full-time, on-site role based in Hyderabad, responsible for shaping data and AI solution proposals for prospective and existing clients. This role partners closely with sales, delivery, and product teams to understand client requirements, design scalable architectures, and create compelling solution narratives and value propositions. Day-to-day responsibilities include conducting discovery workshops, defining technical and functional solution outlines, preparing proposals and presentations, and supporting RFP/RFI responses. The Presales Solution Architect will create reference architectures and demos, collaborate on estimations and implementation roadmaps, and engage with clients in technical discussions and proof-of-concept initiatives. The role also involves staying current with platforms such as Microsoft Fabric, Databricks, Snowflake, and related data/AI technologies to ensure solutions align with best practices and security, compliance, and governance standards.

Qualifications

• Candidates should possess strong experience in solution architecture for data, analytics, and AI platforms (e.g., Microsoft Fabric, Databricks, Snowflake, Power BI, Azure services).
• Candidates should possess skills in presales activities, including requirements discovery, proposal creation, RFP/RFI responses, estimations, and solution presentations to technical and business stakeholders.
• Candidates should possess knowledge of data modernization, migration, integration, and governance concepts, including data warehousing, ETL/ELT, and cloud data platform best practices.
• Candidates should possess the ability to design end-to-end enterprise AI solutions, including generative AI, ML workflows, and integration of AI agents into client environments.
• Candidates should possess strong communication, storytelling, and stakeholder management skills to translate complex technical solutions into clear business value.
• Candidates should possess the ability to collaborate with engineering