The Role
Supports presales solutioning for GenAI, LLM, agentic AI, and AI/ML platform opportunities. Responsibilities include customer requirements discovery, workflow and pain-point documentation, solution narrative development, RFP/RFI responses, proposal writing, solution presentations, and collaboration with Sales, architects, engineers, and consultants. The role progressively owns proposal narratives, maps business requirements to AI solutions, and develops reusable use cases and architectural patterns.
Summary Generated by Built In
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 / 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)
Skills Required
- 1–4 years of experience in presales, business analysis, AI/ML, or solutioning functions
- BE or B.Tech degree in Computer Science, Information Technology, Electronics and Communication Engineering, or a related field
- Strong communication skills
- Strong technical writing skills
- Curiosity about Generative AI, LLMs, agentic AI, and AI/ML platforms
- Ability to document requirements and map them to solution narratives
- Structured thinking and problem analysis skills
- Exposure to AI/ML, data engineering, or LLM application development
- Experience contributing to proposals, RFPs, or technical documentation
- Familiarity with AWS, Azure, or GCP cloud ecosystems
Am I A Good Fit?
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The Company
What We Do
Neuralgo.ai is an enterprise AI and data-science company building LLM-powered platforms that help users move from business problem statements to machine-learning solutions. Its offerings span data engineering, MLOps, and LLM applications, providing productized outcomes across the machine-learning lifecycle. The company’s mission is to democratize data science with AI and help organizations accelerate their machine-learning initiatives.
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