AI/ML Presales Solutions Architect

Marlabs Inc.; Bengaluru; Hybrid; INR 4,000,000 - 5,500,000; Full time

Job summary

Marlabs Inc. is seeking an AI/ML Presales Solutions Architect to guide technical conversations in early sales cycles. You will map business problems to AI/ML approaches, framing feasible solutions with delivery feasibility in mind.

You will partner with sales to craft demos, PoCs, and architectural narratives, spanning Databricks, Snowflake, Azure, and Salesforce ecosystems. Strong client-facing communications are essential for success.

Qualifications

• 10+ years in AI/ML, data platforms or cloud analytics with client exposure.
• Experience in sales engineering, presales or technical consulting for enterprises.
• Ability to present architecture diagrams and narratives for sales cycles.

Responsibilities

• Support multiple client engagements in discovery and solution design.
• Lead early conversations to map business problems to AI/ML paths.
• Translate challenges into architecture options and recommendations.
• Define architecture, timelines, and resource needs with delivery teams.
• Create client-facing demos, PoCs, and presentations.
• Collaborate with sales on estimations and scope alignment.

Skills

AI/ML

Presales

Cloud arch

Data platforms

Solution design

Client comms

Tradeoffs

Team coord

Tools

Databricks

Snowflake

Azure

Salesforce

Job description

Marlabs, a global AI and Digital Solutions Consulting firm, delivers intelligent solutions across AI, data, analytics, and product engineering. Since 2000, we have partnered with some of the largest healthcare, life sciences, financial services, and government organizations worldwide. As we continue to expand our global footprint, we have an exciting opportunity for a highly skilled AI/ML Presales Solutions Architect to join our innovative and dynamic team.

AI/ML Presales Solutions Architect | About You

As an AI/ML Presales Solutions Architect, you are the technical authority supporting client conversations early in the sales cycle. You are responsible for understanding client problems, determining the right AI/ML approach, and shaping feasible, valuable solutions that align with both client needs and delivery capabilities. You thrive in exploratory, client-façing environments where discovery, judgement, and solution framing matter more than hands-on model building. You partner closely with sales to accelerate opportunities while ensuring we never over-commit beyond what can realistically be delivered. You bring broad knowledge across AI, data platforms, and cloud ecosystems and are comfortable explaining what is possible, what is not, and the tradeoffs between different approaches.

AI/ML Presales Solutions Architect | Day-to-Day

• Act as the primary technical presales partner, supporting multiple client engagements across discovery, solution design, and capability discussions.
• Lead early client conversations to understand business problems and determine the fastest, most effective path to an AI/ML solution using preferred client technologies.
• Translate open-ended client challenges, such as model drift, OCR alternatives, AI automation needs, into clear solution approaches, architecture options, and recommendations.
• Define solution architecture, tradeoffs, timelines, and required resources, pulling in delivery teams or subject‑matter experts only when needed.
• Guide the AI Lab and technical teams by synthesizing client discovery into clear direction for demos, proofs of concept, and presentations.
• Create client-façing materials, including slide decks, architecture diagrams, solution flows, implementation approach, and discovery plans.
• Partner with sales leadership on estimations, pricing inputs, and scope definition, ensuring alignment between proposed solutions and delivery feasibility.
• Stay current on emerging AI tools, platforms, and market trends, continuously evaluating how new capabilities integrate into existing ecosystems.

AI/ML Presales Solutions Architect | Skills & Experience

• 10+ years of experience spanning AI/ML, data platforms, cloud architecture, or advanced analytics, with strong client-façing exposure.
• Proven experience in sales engineering, presales solutioning, or technical consulting roles supporting enterprise clients.
• Broad knowledge of AI/ML use cases and architectures, with the ability to evaluate solutions across platforms such as Databricks, Snowflake, Azure, Salesforce, and related ecosystems.
• Strong ability to conduct solution discovery, assess feasibility, identify risks, and articulate architectural tradeoffs.
• Experience creating client-façing presentations, architecture diagrams, and solution narratives that support sales cycles.
• Comfortable working at the intersection of sales, delivery, and technical leadership, knowing when to upscale or pull in additional expertise.
• Excellent communication skills with the ability to explain complex AI concepts to both technical and non‑technical stakeholders.