Pre-Sales Solution Architect – AI & Digital EngineeringCompany: Sapiogen AI Private Limited Department: Sales & Solutions / Engineering Employment Type: Full-Time Work Mode: On-Site

Experience:
3–7 Years

Location:
Ahmedabad, Gujarat About Sapiogen AISapiogen AI is an AI-first software engineering company helping startups, scale-ups, and enterprises build intelligent software products, modernize legacy systems, automate operations, and accelerate digital transformation. We combine AI + human engineering expertise to deliver high-impact solutions across AI/ML, Generative AI, cloud, data, automation, digital engineering, and modern application development. Our goal is simple: AI + Humans. Engineering 10x Faster. Role OverviewWe are looking for a Pre-Sales Solution Architect who can bridge the gap between business requirements, sales opportunities, and technical execution. You will work closely with prospects, business decision-makers, sales teams, and engineering teams to understand client challenges, identify opportunities, design technical solutions, and convert complex requirements into compelling proposals and solution architectures. This role is ideal for someone who is technically strong, commercially aware, confident with clients, and capable of explaining complex technology in simple business language. You will play a critical role in helping Sapiogen AI win high-value AI and software engineering engagements across USA, UK, Canada, Australia, UAE, and other international markets.

Key Responsibilities
1. Client Discovery & Requirement Analysis
• Participate in discovery calls, workshops, technical discussions, and client meetings.
• Understand business objectives, pain points, technical challenges, existing systems, budgets, timelines, and success metrics.
• Translate business requirements into clear technical requirements.
• Identify opportunities for AI, automation, cloud modernization, data engineering, and digital transformation.
• Ask the right technical and business questions to uncover hidden requirements and opportunities. 2. Solution Architecture
• Design high-level and detailed solution architectures based on client requirements.
• Define application architecture, technology stack, integrations, APIs, databases, cloud infrastructure, AI/ML components, and deployment strategy.
• Architect solutions involving:
• Generative AI & LLM applications
• AI agents and agentic workflows
• Conversational & Voice AI
• AI automation & RPA
• SaaS platforms
• Web and mobile applications
• Cloud-native applications
• Data platforms & analytics
• API & system integrations
• Legacy modernization
• Enterprise software
• Evaluate build-vs-buy decisions and recommend appropriate technologies and third-party platforms.
• Ensure proposed solutions are scalable, secure, maintainable, and commercially viable. 3. Pre-Sales & Sales Support
• Work closely with the Business Development and Sales teams throughout the sales cycle.
• Lead or support technical presentations and solution discussions.
• Conduct technical discovery and solutioning for qualified opportunities.
• Prepare solution proposals, architecture diagrams, technical presentations, Statements of Work (SOWs), and RFP/RFI responses.
• Develop technical approaches, project plans, assumptions,



dependencies, and implementation roadmaps.
• Support estimation of development effort, timelines, team composition, and project costs.
• Help sales teams communicate the business value and ROI of proposed solutions. 4. AI Solution Consulting
• Identify practical opportunities where AI can create measurable business value.
• Design AI-first solutions using technologies such as LLMs, RAG, AI agents, NLP, computer vision, voice AI, and intelligent automation.
• Understand and recommend appropriate AI models, frameworks, APIs, vector databases, orchestration tools, and cloud services.
• Evaluate AI feasibility, technical complexity, data requirements, security considerations, and expected ROI.
• Stay updated with rapidly evolving AI technologies and identify opportunities to incorporate them into client solutions. 5. Proposal & DocumentationCreate and maintain:
• Solution architecture documents
• Technical proposals
• Architecture diagrams
• RFP/RFI responses
• Statements of Work
• Technical estimations
• Project roadmaps
• Proof-of-Concept proposals
• Technology recommendations
• Implementation plans
• Cost and effort estimates
• Technical presentations and demos 6. Internal Collaboration
• Collaborate with Engineering, AI/ML, Cloud, Data, Product, Project Management, and Business Development teams.
• Translate client expectations into actionable technical requirements for engineering teams.
• Participate in solution reviews and technical feasibility assessments.
• Ensure proposed solutions can realistically be delivered within the agreed scope, budget, and timeline.
• Act as the technical bridge between client → sales → architecture → engineering. 7. Client Presentations & Workshops
• Conduct technical presentations for CXOs, CTOs, CIOs, product leaders, and engineering teams.
• Lead architecture workshops and technical discovery sessions.
• Explain complex technical concepts in simple business language.
• Demonstrate prototypes, POCs, AI solutions, and proposed architectures when required.
• Build credibility and trust with technical and non-technical stakeholders. Required Technical SkillsStrong understanding of several of the following areas:
• AI / Generative AI
• LLMs and AI agents
• RAG architectures
• Python / JavaScript / TypeScript or similar programming languages
• REST APIs and system integrations
• Microservices
• Cloud architecture
• AWS / Azure / GCP
• SQL and NoSQL databases
• Data engineering
• DevOps & CI/CD
• Docker / Kubernetes
• SaaS architecture
• Web application architecture
• Enterprise application architecture
• Cybersecurity fundamentals
• API gateways and integration architecture Hands-on development experience is strongly preferred. Pre-Sales SkillsThe candidate should be comfortable with:
• Client discovery
• Requirement gathering




• Technical qualification
• Solution design
• Estimation
• Proposal creation
• RFP/RFI responses
• Technical presentations
• POC planning
• Architecture diagrams
• SOW preparation
• Commercial discussions
• Technical objection handling
• Sales enablement What We Are Looking For
• Strong communication and presentation skills.
• Ability to communicate with both business and technical stakeholders.
• Strong analytical and problem-solving abilities.
• Commercial understanding of software engineering engagements.
• Ability to understand business problems and convert them into technology solutions.
• Strong understanding of modern AI and software engineering.
• Ability to work independently in a fast-growing startup environment.
• Entrepreneurial mindset and ownership mentality.
• Ability to manage multiple opportunities simultaneously.
• Willingness to participate in client calls across international time zones when required. Qualification
• Bachelor's degree in Computer Science, Information Technology, Engineering, or a related field.
• 3–7 years of experience in Solution Architecture, Technical Consulting, Pre-Sales, Software Engineering, or Technology Consulting.
• Experience working with international clients is preferred.
• Experience in an IT services, software product, digital engineering, AI, or technology consulting company is preferred. Preferred ExperienceCandidates with experience in companies similar to Simform, Apexon, Ascendion, Persistent, Thoughtworks, Globant, EPAM, or other technology consulting/software engineering organizations will be preferred. Experience in selling or architecting AI, cloud, data, digital engineering, automation, or enterprise software solutions will be a robust advantage. Key Performance Indicators (KPIs)
• Technical win rate of qualified opportunities
• Number and value of opportunities supported
• Proposal-to-deal conversion rate
• Solution quality and feasibility
• Proposal turnaround time
• Client satisfaction during pre-sales
• Number of successful POCs
• Revenue generated from supported opportunities
• Accuracy of technical estimates
• Quality of architecture and documentation Career GrowthThis role provides a strong growth path within Sapiogen AI. Based on performance, the candidate can progress toward: Senior Solution Architect → Lead Solution Architect → Principal Solution Architect → Head of Solutions / Pre-Sales → VP – Solutions / CTO-track leadership Why Join Sapiogen AI?
• Work on cutting-edge AI-first software engineering projects.
• Work directly with founders and senior leadership.
• Exposure to international clients and enterprise technology challenges.
• Opportunity to shape solutions from the first client conversation to production deployment.
• High ownership and decision-making responsibility.
• Opportunity to grow into a senior technology and business leadership role.
• Build solutions across AI, cloud, data, automation, and modern software engineering. Our PhilosophyAI + Humans. Engineering 10x Faster. At Sapiogen AI, you won't simply be selling technology. You'll be designing the technology solutions that help businesses build what comes next.

📌 Presales Solutions Architect- AI (Ahmedabad)
🏢 Sapiogen AI
📍 Ahmedabad