Presales Solutions Engineer

Enable AI-First Solutioning with goML

At goML, we build GenAI and LLM-powered applications, autonomous agentic systems, and AI/ML platform capabilities that help enterprises adopt modern AI with clarity and confidence. Our mission is to bring state-of-the-art Generative AI and AI/ML innovations into enterprise environments through practical, production-ready solution architectures.

We’re looking for a Presales Solutions Engineer who will collaborate across Sales, Solution Architects, Engineers, and Consultants to design and articulate AI-driven solution approaches for prospective customers. If you’re excited about the emergence of GenAI, LLMs, and autonomous AI systems—and enjoy translating technology into business impact—we’d love to hear from you!

Why You? Why Now?

Enterprises are rapidly exploring Generative AI, agentic systems, and LLM-based applications—but they need clarity on

use cases, feasibility, solution patterns, and value

before adoption.

This role is great for someone who enjoys

• understanding customer problem narratives
• shaping solution proposals for modern AI workloads
• working with Sales and Solutioning teams during evaluations

At goML, you will

• contribute to solution proposals for GenAI, LLM, and AI platforms
• participate in requirement discovery and scoping discussions
• help Sales explain
• what to build, why, and how
• to prospective customers

Role Overview

The Solutions Analyst is a core member of our pre-sales and solutioning function, partnering with Sales, Solution Architects, Engineers, and Consultants to design, articulate, and propose modern

AI-powered solutions

for prospective customers.

You will play a key role in shaping proposals for

• GenAI and LLM-based applications
• Agentic AI systems
• (autonomous workflows, multi-agent orchestration)
• AI/ML platforms and data modernization initiatives
• As the role matures, you will engage directly with customers for
• requirements discovery, scoping, solution trade-off discussions, and value articulation
• , helping Sales teams clearly communicate
• what to build, why, and how
• .

What You’ll Do (Key Responsibilities)

First 30 Days: Foundation & Orientation

• Understand goML’s GenAI, LLM, and AI solution offerings
• Learn solutioning workflows and proposal formats
• Shadow customer discovery and internal solution reviews
• Review past proposals for GenAI/LLM/AI initiatives
• Begin contributing to proposal sections and solution write-ups

First 60 Days: Execution & Impact

• Participate in customer requirement discovery sessions
• Document business workflows, pain points, and desired outcomes

Contribute to solution narratives for

• GenAI & LLM use cases
• agentic AI automations
• AI/ML platform adoption
• Support Solution Architects in articulating approaches and trade-offs
• Assist in RFP/RFI responses for AI-led opportunities
• Contribute to customer-facing solution presentations

First 180 Days: Ownership & Transformation

• Own end-to-end proposal narratives for GenAI/LLM use cases (with collaboration)
• Lead requirement breakdown and mapping for AI workloads

Build reusable libraries of

• AI use cases
• solution narratives
• architectural patterns
• Influence proposal consistency and clarity across AI solutioning
• Partner with Sales to support customer evaluation cycles

What You Bring (Qualifications & Skills)

Must-Have

• 1–4 years
• of experience in presales, business analysis, AI/ML, or solutioning functions
• BE / in CS, IT, ECE, or related fields
• Strong communication and technical writing skills
• Curiosity around GenAI, LLMs, agentic AI, and AI/ML platforms
• Ability to document requirements and map them to solution narratives
• Structured thinking and problem analysis skills

Nice-to-Have

• Exposure to AI/ML, data engineering, or LLM application development (academic or internship)
• Experience contributing to proposals, RFPs, or technical documentation
• Familiarity with enterprise cloud ecosystems (AWS / Azure / GCP)