Solutions Architect – AICompany: Sapiogen AI Private Limited Department: Engineering & Technology Employment Type: Full-Time Work Mode: On-Site

Location:
Ahmedabad, Gujarat

Experience:
3–7 Years Compensation: ₹50,000–₹80,000 per month About Sapiogen AISapiogen AI is an AI-first software engineering company building intelligent software products, AI-powered business solutions, scalable digital platforms, and modern enterprise systems. We combine AI + human engineering expertise to help startups, enterprises, and technology-driven businesses design, build, modernize, and scale software faster. Our focus spans AI/ML, Generative AI, Agentic AI, Cloud, Data Engineering, Automation, Digital Engineering, and Enterprise Software Development.

About the Role
We are looking for a Solutions Architect – AI who can bridge the gap between business problems, AI capabilities, software architecture, and engineering execution. You will work closely with clients, founders, business stakeholders, sales, and engineering teams to understand complex requirements and translate them into scalable, secure, commercially viable AI-powered solutions. The ideal candidate is someone who can confidently sit in a client meeting, understand the business problem, design the technology solution, explain the architecture, estimate effort, and work with engineers to ensure successful implementation. This is a highly strategic and hands-on role with significant exposure to AI consulting, solution design, pre-sales, architecture, and delivery.

Key Responsibilities
1. AI Solution Architecture
• Design end-to-end AI-powered solutions for startups, enterprises, and contemporary businesses.
• Architect solutions involving Generative AI, LLMs, AI Agents, RAG, NLP, Computer Vision, Voice AI, Machine Learning, and intelligent automation.
• Design scalable application, data, AI, API, integration, and cloud architectures.
• Select appropriate technologies, frameworks, models, APIs, databases, and infrastructure.
• Define architecture principles, technical standards, security considerations, and scalability strategies.
• Evaluate build-vs-buy decisions and third-party AI platforms. 2. Client Consulting & Discovery
• Participate in client discovery calls and technical workshops.
• Understand business objectives, pain points, existing technology environments, and desired outcomes.
• Convert business requirements into technical requirements and solution blueprints.
• Identify opportunities where AI, automation, modernization, or digital engineering can create measurable business value.
• Communicate complex technical concepts clearly to both technical and non-technical stakeholders. 3. Pre-Sales & Solution Engineering
• Work closely with the CEO, CRO, sales, and engineering teams during the pre-sales lifecycle.
• Develop technical proposals, solution approaches, architecture diagrams, statements of work, and estimates.
• Conduct technical presentations, solution demonstrations, and proof-of-concepts.
• Support RFP/RFI responses and technical due diligence.
• Help define project scope, milestones, assumptions, dependencies, risks, and delivery approach.




• Participate in client presentations and technical negotiations when required. 4. AI & Technology Leadership
• Stay current with rapidly evolving AI technologies and engineering practices.
• Evaluate new LLMs, AI APIs, agentic frameworks, cloud AI services, developer tools, and automation platforms.
• Identify opportunities to improve engineering productivity using AI-assisted development.
• Establish reusable AI architecture patterns, accelerators, frameworks, and solution components.
• Guide engineering teams on implementing production-grade AI systems. 5. Architecture & Engineering Collaboration
• Collaborate with software engineers, AI/ML engineers, DevOps engineers, data engineers, and product teams.
• Review technical designs and architecture decisions.
• Ensure solutions are scalable, maintainable, secure, observable, and cost-efficient.
• Provide technical direction during implementation.
• Identify architectural risks and recommend corrective actions.
• Ensure alignment between proposed architecture and actual implementation. 6. Cloud & InfrastructureHands-on understanding of one or more major cloud platforms is expected:
• AWS
• Microsoft Azure
• Google Cloud Platform You should understand:
• Cloud architecture
• Containers & Docker
• Kubernetes fundamentals
• Serverless architecture
• API gateways
• Databases
• Networking
• IAM & security
• CI/CD
• Monitoring & observability
• Cloud cost optimization Required Technical SkillsAI / Generative AI
• Generative AI and LLM architectures
• Prompt engineering
• RAG architectures
• Vector databases
• AI agents / Agentic AI
• LLM APIs and model integration
• AI evaluation and monitoring
• AI security and responsible AI fundamentals
• Fine-tuning / model customization concepts
• Conversational AI and/or Voice AI is a plus Software EngineeringStrong understanding of:
• Python and/or JavaScript/TypeScript
• REST APIs and API integrations
• Microservices
• Distributed systems
• Databases
• Event-driven architecture
• Authentication & authorization
• System design
• Software development lifecycle Data
• SQL and NoSQL databases
• Data pipelines
• Data integration
• Data processing concepts
• Data architecture fundamentals DevOps / Cloud
• AWS / Azure / GCP
• Docker
• CI/CD
• Git
• Kubernetes fundamentals
• Infrastructure and deployment architecture What We Are Looking For
• 3–7 years of experience in Solutions Architecture, Technical Architecture, Software Architecture, AI Engineering, or related roles.
• Strong understanding of contemporary software architecture and system design.
• Practical understanding of AI/ML and Generative AI technologies.
• Ability to translate business requirements into technical solutions.




• Strong client-facing and communication skills.
• Experience working with engineering teams and leading technical discussions.
• Experience creating architecture diagrams and technical documentation.
• Ability to estimate projects and contribute to proposals/SOWs.
• Strong problem-solving and analytical skills.
• Ability to work in a fast-moving startup environment.
• Strong ownership mentality and willingness to get hands-on when required. Preferred Qualifications
• Experience working with international clients, particularly US, UK, Canada, Australia, or UAE markets.
• Experience in an AI consulting, software engineering, digital transformation, or technology services company.
• Experience with enterprise architecture.
• Experience in pre-sales or solution consulting.
• Experience building AI/LLM proof-of-concepts.
• Experience with LangChain, LangGraph, LlamaIndex, OpenAI, Anthropic, Gemini, or similar AI ecosystems.
• Experience with AWS Bedrock, Azure OpenAI, Vertex AI, or equivalent platforms.
• Experience with Salesforce, SAP, Microsoft, or other enterprise ecosystems is a plus. Key Performance Indicators (KPIs)Success in this role will be measured by:
• Quality and feasibility of proposed solutions.
• Successful conversion of technical opportunities into projects.
• Client satisfaction and technical credibility.
• Accuracy of solution estimates and project scope.
• Quality of architecture documentation.
• Successful delivery of AI-powered solutions.
• Reusability of architecture patterns and accelerators.
• Reduction in solution/design turnaround time.
• Contribution to revenue through solution consulting and pre-sales.
• Adoption of modern AI-first engineering practices. Why Join Sapiogen AI?At Sapiogen AI, you won't simply be designing software architectures. You will help define how AI-first software engineering is delivered to modern businesses. You will have the opportunity to:
• Work on real-world AI and enterprise transformation projects.
• Interact directly with international clients and business leaders.
• Work across AI, cloud, data, automation, and software engineering.
• Influence architecture and technology decisions from the early stages.
• Build reusable AI solution accelerators.
• Work closely with the founding team.
• Grow into senior leadership responsibilities as the company scales. Career GrowthThis role has a potential growth path toward: Solutions Architect → Senior Solutions Architect → Principal Architect → Head of Engineering / CTO depending on performance, leadership ability, technical depth, and contribution to Sapiogen AI's growth. Our Ideal CandidateYou are someone who can take a problem like: "Our business has this problem. Can AI solve it?"and turn it into: Business Requirement → AI Strategy → Solution Architecture → Technology Selection → POC → Implementation → Production → Scale If you are passionate about AI, architecture, consulting, and building technology that creates measurable business outcomes, we'd love to hear from you.
• Join Sapiogen AI and help us build the future of AI-first software engineering.

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