Presales Solution Architect

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.

Responsibilities

What you’ll do

As a Presales

Solution Architect, you're expected to have all the below skills

·Architecture &

Design: Develop high-level architecture designs

for scalable, secure, and robust solutions.

·Technology

Evaluation: Select appropriate technologies,

frameworks, and platforms for business needs.

·Cloud &

Infrastructure: Design cloud-native, hybrid, or

on-premises solutions using Azure, AWS, or GCP.

·Integration: Ensure seamless integration between various enterprise applications,

APIs, and third-party services.

Customer Centricity - Soft Skills

·Communication -

Strong written and oral communications skills

·Interpersonal -

Strong relationship building for getting work done efficiently

·Intelligent Probing

- Asking smart questions, in-depth understanding of the opportunity context

·Collaboration -

Effective use of tools - Presales templates, MS Teams, OneDrive, Calendars,

etc.

·Presentation Skills

- Strong presentation skills and experience presenting to C-Level executives

·Negotiation -

Resource allocation, response timelines, estimates, resource loading, rates,

etc.

Agility - Responsiveness

·Kickoff & bid planning -

High reaction speed and quality; identification of the right team.

·Adherence to the bid plan -

High reaction speed and quality; identification of the right team

·Follow-ups & reminders -

Timely and appropriate reminders.

·Proactiveness - Quick risk

identification & highlighting; early identification of key deliverables not

directly asked for (e.g. mock-ups) early win theme identification with the help

of key stakeholders.

Responsibility - Deliverable Quality

& Process compliance

·Language & articulation -

Consistent, high-quality language across sections of a proposal; correctness of

grammar, punctuation and appropriate capitalization

·Document structure - Standard

template for general proposals; customized structure for specific requests like

RFPs; story boarding for presentations

·Completeness & correctness

- General completeness and according to requirements specified in solicitation

documents; correctness of content - functional, technical, company data,

process-related content, creative content like mock-ups, etc.

·Process compliance - Regular

and timely updates, updating knowledge repository

·Aesthetics & document

formatting - Quality, consistency/relevance of graphics - architecture

diagrams, mock-ups, infographics, etc.; consistency of formatting (headings,

fonts, indents, bullets, table and diagram captions, text alignment, etc.);

adherence to Kanerika standards or client specified standards

Intelligence - Value Addition

·Providing intelligence to the

bid team - Client’s industry, client (general info and their preferences for

engagement model, development methodology), competition, "build vs

buy" research (if applicable), tentative budget, etc.

·Empathy - Understanding customers’

deeper pain areas (generally not specified in the solicitation documents) with

research and intelligent queries

·Baking in win themes - (at

times subtly) in all sections of the deliverable/s and strong messaging in the

executive summary.

·Solution & estimation

validation - Ability to guide and challenge the solution & the estimates

·Quality of original exec

summary - A strong first pass; with zero objective (factual) errors.

Global - Leveraging Organizational

Strength

·Relevance & quality of case

studies - Including all relevant success stories.

·Leveraging the best

contributors - Specific context of each opportunity

·Effective use of past knowledge

- From past presales deliverables

·Effective use of support groups

- Talent management, Information Security, Legal, HR, etc.

Requirements

What you'll

bring

Must Have Skills

·MBA from a reputed

institute (preferred)

·5+ years of

experience working in Presales in the IT industry

Soft Skills

·Communication

Skills

·Presentation Skills

·Interpersonal

relations

·Flexible and

Hard-working

Technical Skills

·Strong experience in solution

architecture for data, analytics, and AI platforms, including Microsoft Fabric,

Databricks, Snowflake, Power BI, and Azure services

·Knowledge of data modernization,

migration, integration, and governance concepts, including data warehousing,

ETL/ELT, and cloud data platform best practices

·Ability to design end-to-end

enterprise AI solutions, including generative AI, ML workflows, and integration

of AI agents into client environments

·Skills in presales activities,

including requirements discovery, proposal creation, RFP/RFI responses,

estimations, and solution presentations to technical and business stakeholders

·Ability to collaborate with engineering and delivery teams to validate

technical feasibility

Benefits