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 Analyst 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 / B.Tech 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)
