Senior Presales Solutions Consultant

Position : Enterprise Presales Architect Location : Bangalore, WFO

Experience : 8+ Years

Reports To : Director, Digital Strategy & Enterprise Architecture

Department : Digital Strategy, EA & Presales

Please share your updated profile to sugantha.krishnan@acldigital.com

Role Overview

The Enterprise Presales Architect is a strategic partner to the Sales and Inside Sales teams, responsible for shaping winning enterprise technology solutions, driving sales enablement, and building thought leadership. This role blends architecture expertise, business understanding, and strong communication skills to influence customer decisions across global markets.

The Enterprise Presales Architect :

Handholds Sales with structured training & enablement on key technology and business domains (Cloud, Data, AI, Integration, SDLC, Quality Engineering, B2B enterprise operations).

Supports Sales and Inside Sales during lead-qualification and early discovery calls across US time zones (EST / PST / CST) to help evaluate opportunities and guide solution positioning.

Research emerging technology trends (AI / GenAI, Agentic AI, Data Engineering, Cloud Modernization, Automation, DevOps / SRE) and helps Inside Sales develop relevant outreach campaigns, messaging frameworks, and value propositions.

Contributes to thought leadership through LinkedIn posts, corporate blogs, whitepapers, and industry insights to strengthen ACL Digital’s digital persona and credibility.

Maintains and manages all sales-supporting documentation , including capability decks, industry collateral, case studies, solution templates, proposal assets, and digital repositories.

Works cross-functionally with Delivery, Engineering, Marketing, and GTM teams to ensure solution consistency, feasibility, and market relevance.

Key Responsibilities

Solutioning & Architecture

Create high-quality solution blueprints, architecture diagrams, and reference architectures.

Lead technical sections of RFIs, RFPs, proposals, and client presentations.

Conduct requirement workshops and architecture discovery sessions with prospects.

Evaluate cross-functional impacts across cloud, application, data, security, and integration layers.

Sales Enablement

Prepare sales playbooks, pitch decks, and reusable solution assets.

Coach account executives and inside sales teams on enterprise trends, offerings, and differentiators.

Support pipeline acceleration through solution demonstrations and domain anchoring.

Thought Leadership & Research

Develop PoVs, blogs, and thought leadership content on enterprise, digital transformation, and AI-driven architectures.

Track and analyze industry developments to recommend new capabilities and GTM approaches.

Required Skills & Qualifications

Education

MBA (preferably Sales / Marketing) + BE / BTech in Information Science / Technology .

7+ CGPA or First Division in both degrees.

Technical Skills

Strong foundations in programming, database management, SQL / NoSQL, and data engineering.

Understanding of AI / ML, Big Data, automation concepts, and cloud-native principles.

Good knowledge of SDLC, PM, PGM, and quality engineering.

Architecture & Design Skills

Ability to design high-level & low-level architectures using UML, C4, BPMN, or similar.

Understanding of enterprise integration patterns, API-led architecture, microservices, and cloud architectures.

Exposure to AI / ML architecture , Agentic AI , multi-agent workflows , RPA , IPA , and enterprise automation frameworks.

Ability to evaluate scalability, reliability, performance, and security trade-offs.

Business Skills

Strong understanding of B2B enterprise structures, processes, workflows, and value chains.

Ability to translate business requirements into technology-driven solutions.

Soft Skills

Excellent English communication, storytelling, and presentation abilities.

French or Spanish proficiency is highly desirable.

Strong consultative selling ability and stakeholder management.

Preferred Certifications

Cloud Architect (AWS / Azure / GCP), TOGAF, PMP / ITIL / SAFe, Data / AI certifications.