Solutions Architect- AI (CTC: 50K-80K Per Month)

Solutions Architect – AI
Company: 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 AI
Sapiogen 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 Responsibilities1. AI Solution Architecture
Design end-to-end AI-powered solutions for startups, enterprises, and modern 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 & Infrastructure
Hands-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 Engineering
Strong 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 modern 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 Growth
This 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 Candidate
You 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 Selectio

Work arrangement
No