Presales Specialist

Job Summary

Job Title: Presales Specialist (Cloud/Infrastructure/AI)

Location: Delhi

Department: Sales

Neysa Delhi, India (On-site)

What You ll Achieve In This Role

In this role, you ll help customers overcome complex business challenges by designing and showcasing AI, GenAI, and cloud-native solutions tailored to their needs. Through technical workshops, deep-dive discussions, and hands-on PoCs, you ll validate real-world value while guiding customers through their transformation journey and influencing key buying decisions.

What You Bring To The Table

• Architect design end-to-end AI and Cloud solutions with a strong focus on GenAI, LLM-driven applications, RAG workflows, ML workloads, and cloud-native architectures.
• Engage directly with customers to understand business challenges, technical requirements, data landscape, and AI adoption goals.
• Enable customers to understand the architecture, functionality, and capabilities of proposed solutions.
• Lead technical discovery sessions, workshops, and design meetings, translating needs into scalable architectures.
• Deliver high-impact demonstrations showcasing GenAI, LLM use cases, data-to-insight workflows, and automation.
• Guide customers through Proof of Concepts (PoCs), validating performance and real-world value.
• Collaborate with sales on pre-sales motions: presentations, demos, proposals, and RFP responses.
• Design and articulate RAG-based workflows: intelligent search, document processing, chatbots, knowledge assistants, domain-specific LLM apps.
• Advise customers on MLOps practices: model deployment, monitoring, governance, CI/CD for ML pipelines.
• Strong understanding of Cloud, Data Center infrastructure, enterprise networking (SDN, SD-WAN, VPNs), hybrid/multi-cloud designs.
• Provide deep technical guidance on cloud, containerized workloads, GPUs, and orchestration platforms for AI at scale.
• Act as a trusted technical advisor, simplifying complex concepts for business and technical stakeholders.
• Work closely with Product Engineering to share feedback and influence roadmap decisions.
• Stay current on trends across Cloud, AI, GenAI, ML, MLOps, and networking.

Core Competencies

• Hands-on experience with LLM-powered enterprise apps (chatbots, copilots, AI search, automation).
• Experience with GPU-accelerated workloads and inference optimization.
• Ability to design scalable cloud-native architectures with Docker and Kubernetes.
• Strong understanding of vector databases, embeddings, and search optimization.
• Proven track record supporting enterprises through complex AI/Cloud cycles.
• Experience collaborating with engineering and product teams.
• Ability to design custom infrastructure solutions aligned with customer environments.

Strategic Analytical Competencies

• Solution Thinking: Design AI, GenAI, ML, and cloud solutions aligned to business goals.
• Strategic Insight: Translate market trends and customer needs into impactful solution strategies.
• Data-Driven Decisions: Evaluate options, metrics, and PoC outcomes to recommend scalable architectures.
• Problem-Solving Excellence: Diagnose issues, identify root causes, and propose practical solutions.
• Experience leading PoCs and producing detailed documentation and architecture diagrams.
• Customer-Centric Strategy: Map customer pain points to AI/cloud capabilities showing clear ROI.
• Cross-Functional Thinking: Work seamlessly with sales, engineering, and product teams.

Education Certifications

• Bachelor s or Master s in Computer Science, IT, Engineering, or related fields.
• Preferred certifications in Cloud (AWS, Azure, GCP), AI/ML, or DevOps/Kubernetes.
• Additional certifications in TensorFlow, PyTorch, HuggingFace, MLflow, Kubeflow, etc., are advantageous.
• Strong continuous learning mindset.

Your Mindset

• Customer-First Trusted Advisor
• Curious Innovative
• Collaborative Strategic

Disclaimer: This job posting has been aggregated from external source. Role details, content, and availability are subject to change. Applicants are advised to confirm the latest information directly on the company website before applying.