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
bringMust 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

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