Company: GenXcel Info Solutions Private Limited [www.gxcel.com]
Job Title: Pre-Sales Cloud & AI Solutions Architect / Cloud Engineer (Pre-Sales)
Department: Sales & Solutions Engineering
Employment Type: Full-Time / Contractual / Freelance
Location: Pune / Hybrid
Experience: 2–5 Years’
Salary Range: ₹25,000 – ₹50,000 per month + Performance Incentives (Depending on capability, revenue impact & performance)
Reporting To: [Director of Pre-Sales / VP of Cloud Solutions]
Role Summary
We are seeking a dynamic, highly technical, and client-facing Pre-Sales Cloud & AI Solutions Architect to join our team. In this role, you will bridge the gap between technical architecture and business value, acting as the trusted technical advisor to our enterprise clients.
You will partner directly with the sales team to uncover customer challenges, design scalable cloud infrastructures, and demonstrate how our AI-driven and cloud-native solutions can deliver measurable ROI. Because AI is rapidly transforming cloud operations, deep, hands-on knowledge of Artificial Intelligence (Machine Learning, Generative AI, LLMs) is a mandatory requirement for this role. You will be the tip of the spear in shaping deals, building rapid prototypes, and winning technical validations.
Key Responsibilities
1. Client Engagement & Deal Shaping
· Act as the technical co-pilot during all phases of the sales cycle, including discovery sessions, executive briefings, and deep-dive technical workshops.
· Translate complex business challenges into actionable Cloud and AI/ML architectures.
· Clearly articulate the business value, technical feasibility, and return on investment (ROI) of proposed solutions to both C-level executives and technical IT teams.
2. AI & Cloud Solution Design
· Design high-availability, scalable, and secure cloud architectures across major platforms (AWS, Azure, or GCP).
· Architect and pitch modern AI pipelines, including Generative AI solutions, Retrieval-Augmented Generation (RAG) frameworks, and AI agents.
· Ensure proposed architectures account for cloud security, FinOps (cost optimization), observability, and data privacy regulations.
3. Demo Engineering & Proof of Concept (PoC/PoV) Execution
· Develop custom, live demonstrations that showcase our AI and cloud capabilities tailored to specific client use cases.
· Lead rapid prototyping and build working Proof of Concepts (PoCs) or Proof of Value (PoVs) under time pressure to accelerate deal closure.
· Showcase how AI tools integrate with enterprise systems (e.g., using vector databases, modern APIs, and orchestration tools).
4. Bid Support (RFP/RFI) & Sales Enablement
· Lead the technical responses for RFPs, RFIs, and Statements of Work (SOWs), providing detailed architecture diagrams, effort estimates, and delivery methodologies.
· Enable internal sales teams by creating demo scripts, AI solution playbooks, and strategies for technical objection handling.
5. Post-Sale Handoff & Customer Success
· Ensure a seamless transition from the sales cycle to the delivery/engineering teams, aligning the proposed vision with the execution roadmap.
· Create a feedback loop by gathering prospect insights to inform our product development and engineering teams about future feature requirements.
Required Qualifications & Technical Skills
· Experience: 2 to 7+ years of experience in Cloud Engineering, Data Engineering, or a Pre-Sales / Solutions Architect role.
· Mandatory AI Expertise: Proven, hands-on experience designing and pitching AI/ML architectures. Must understand Large Language Models (LLMs), RAG, model orchestration (e.g., LangChain), vector databases, and MLOps.
· Cloud Fluency: Deep knowledge of at least one major cloud provider (AWS, Azure, or GCP) and foundational knowledge of cloud networking, storage, compute, and Kubernetes/containerization.
· Coding & Scripting: Proficiency in modern languages heavily used in AI and Cloud infrastructure, particularly Python. Familiarity with APIs and Infrastructure as Code (e.g., Terraform, CloudFormation).
· Consultative Selling Skills: Superior presentation and communication skills. The ability to whiteboard complex technical concepts and confidently present to both technical and non-technical audiences.
Preferred Skills / Certifications
· Active certifications in Cloud/AI architectures (e.g., AWS Certified Solutions Architect, AWS Certified Machine Learning, Azure AI Engineer Associate, or GCP Professional Cloud Architect).
· Experience with modern Data Platforms (Databricks, Snowflake, Microsoft Fabric).
· Familiarity with DevOps/AIOps, CI/CD pipelines, and observability tools (Datadog, Prometheus).
What We Offer
· Competitive base salary + performance-based commissions/bonuses.
To apply, please submit your resume along with a brief description of an AI or Cloud-based solution you recently architected or pitched on to [hr at gxcel.com], Subject Line: Cloud Engineer [Sales & Pre-Sales]
Pay: ₹25,000.00 - ₹50,000.00 per month
Benefits:
- Cell phone reimbursement
- Flexible schedule
- Paid time off
- Provident Fund
Work Location: Hybrid remote in Pune, Maharashtra (Pune, Pune District)
