Founding CTO / Solution Architect / Forward Deployed Engineer

Company: Sapiogen AI Private Limited

Department: Engineering & Technology

Employment Type: Full-Time

Work Mode: On-Site

Experience: 4+ Years

Base Compensation: Upto ₹60,000 per month, depending on experience and capabilities + Equity

Location: Ahmedabad, Gujarat

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 and enterprises build, modernize, automate, and scale software significantly faster.

Our focus spans

- AI Product Development
- AI Strategy & Consulting
- Generative AI & Agentic AI
- AI Automation & RPA
- Conversational & Voice AI
- AI/ML Engineering
- Cloud & Infrastructure Engineering
- Data Engineering
- Digital & Experience Engineering
- Legacy Modernization
- AI Integration & Systems Engineering

About the Role We are looking for a Founding CTO / Solution Architect / Forward Deployed Engineer who can operate across technology leadership, architecture, product engineering, and client delivery .

This is not a traditional CTO or Solution Architect position.

You will be one of the core technical leaders of Sapiogen AI , working directly with the founders, prospective clients, and engineering teams to transform business problems into scalable AI-powered technology solutions.

The ideal candidate should be equally comfortable:

Talking to a CEO → Designing the architecture → Building a prototype → Deploying it → Leading engineers → Owning technical delivery.

You will have significant ownership in shaping Sapiogen AI's technical standards, engineering culture, architecture frameworks, AI capabilities, and delivery methodology.

Key Responsibilities1. Technical Leadership

- Work closely with the Founders to define Sapiogen AI's technology vision and engineering strategy.
- Establish technical standards, architecture principles, coding practices, and engineering processes.
- Make critical technology and architecture decisions.
- Build scalable and reusable engineering capabilities for the company.
- Evaluate emerging AI technologies, frameworks, platforms, and development methodologies.
- Establish an AI-first engineering culture across the organization.
- Mentor and guide engineers, architects, and technical team members.
- Participate in hiring and evaluation of future engineering talent.
- Help build the company's engineering organization as Sapiogen AI scales.

1. Solution Architecture

- Understand complex business requirements and translate them into technical solutions.
- Design end-to-end architectures for AI, SaaS, enterprise, data, cloud, and digital products.
- Create solution architecture documents, technical proposals, system diagrams, and technology roadmaps.
- Define technology stacks, APIs, databases, cloud infrastructure, security architecture, and integration patterns.
- Design systems that are scalable, secure, maintainable, and commercially viable.
- Review architecture and technical decisions throughout project lifecycles.
- Identify technical risks and develop mitigation strategies.

1. Forward Deployed Engineering

You will work directly with clients and project teams to solve real-world technical problems.

Responsibilities include

- Join client discovery and technical workshops.
- Understand business processes, pain points, and technical environments.
- Rapidly prototype and validate solutions.
- Build Proofs of Concept (PoCs), MVPs, and production-ready components.




- Integrate AI models and third-party platforms into existing systems.
- Work with client engineering and product teams.
- Troubleshoot complex technical issues.
- Deploy solutions into cloud and production environments.
- Iterate rapidly based on customer feedback.
- Take ownership of technical outcomes rather than simply delivering specifications.

1. AI Engineering

- Design and implement Generative AI and Agentic AI solutions.
- Work with LLMs, RAG architectures, AI agents, embeddings, vector databases, and AI orchestration frameworks.
- Design AI-powered workflows and automation systems.
- Integrate commercial and open-source AI models.
- Build AI copilots, conversational systems, intelligent automation, and enterprise AI applications.
- Evaluate model performance, cost, latency, security, and reliability.
- Implement appropriate guardrails, evaluation frameworks, observability, and monitoring.

1. Cloud & Infrastructure

- Design cloud-native architectures using platforms such as AWS, Azure, or Google Cloud.
- Work with containers, APIs, microservices, serverless systems, CI/CD, and infrastructure automation.
- Establish deployment and DevOps practices.
- Design scalable and reliable infrastructure.
- Optimize infrastructure cost and performance.
- Work with security, authentication, networking, monitoring, logging, and observability.

1. Pre-Sales & Client Engagement

- Participate in technical discovery calls with prospective clients.
- Lead technical discussions with CTOs, CIOs, founders, product leaders, and engineering teams.
- Understand client requirements and identify opportunities for AI transformation.
- Support the sales team in developing technically strong proposals.
- Conduct technical presentations, architecture walkthroughs, and solution demonstrations.
- Develop PoCs and technical prototypes during the sales process when required.
- Help convert business requirements into commercially viable technology solutions.

1. Engineering Delivery

- Own technical delivery from discovery through deployment.
- Break complex requirements into actionable engineering tasks.
- Review code and technical implementations.
- Establish engineering quality standards.
- Ensure projects meet agreed technical, performance, security, and scalability requirements.
- Work closely with project managers, designers, engineers, and clients.
- Identify bottlenecks and proactively resolve technical challenges.

Required Technical Skills The candidate should have strong knowledge of several of the following:

AI / ML

- Generative AI
- LLMs
- RAG
- AI Agents / Agentic AI
- Prompt Engineering
- AI APIs
- Vector Databases
- Embeddings
- AI orchestration frameworks
- Model evaluation and optimization

Software Engineering
- Strong programming ability in Python, JavaScript/TypeScript, Java, Go, or similar
- REST APIs
- GraphQL
- Microservices
- Event-driven architecture
- Distributed systems
- Database architecture
- System design
- SaaS architecture

Cloud & DevOps
- AWS / Azure / GCP
- Docker
- Kubernetes
- CI/CD
- Infrastructure as Code
- Cloud security
- Monitoring & observability
- Git/GitHub/GitLab

Data
- SQL
- PostgreSQL / MySQL
- NoSQL databases
- Data pipelines
- Data integration




- Data architecture
- Vector databases

Modern Engineering Experience with AI-assisted engineering tools and modern development workflows is highly desirable, including tools such as Cursor, Claude, GitHub Copilot, and other AI coding/automation platforms .

Business & Client Skills The candidate must also be able to:

- Communicate complex technical concepts to non-technical stakeholders.
- Conduct technical discovery sessions.
- Understand business objectives beyond technical requirements.
- Create practical and commercially viable solutions.
- Present architecture and technology decisions to senior executives.
- Work in ambiguous environments with limited specifications.
- Quickly learn unfamiliar technologies and client systems.
- Balance technical excellence with delivery timelines and business priorities.

Ideal Candidate Profile We are looking for someone who is:
- Entrepreneurial and highly ownership-driven.
- Comfortable working in an early-stage company.
- Hands-on rather than purely managerial.
- Strong in system design and architecture.
- Comfortable interacting directly with customers.
- Excited about AI and emerging technologies.
- Capable of moving from idea → architecture → prototype → production .
- Comfortable wearing multiple hats.
- Able to lead engineers while still writing code when necessary.
- Comfortable operating in fast-changing and ambiguous environments.

The ideal candidate thinks like a CTO, communicates like a Solution Architect, and executes like a Forward Deployed Engineer. What You Will Build at Sapiogen AI

As a founding technical leader, you will have the opportunity to help build:

- Sapiogen AI's engineering organization
- Internal AI engineering frameworks
- Reusable AI solution architectures
- AI-powered SaaS products
- Enterprise AI solutions
- Agentic AI systems
- AI automation platforms
- Cloud-native applications
- Technical delivery standards
- Engineering processes and best practices

You will have significant influence over what we build, how we build it, and how Sapiogen AI delivers technology to customers.

Growth opportunities

This is a founding-level position with substantial long-term growth potential.

Based on performance and organizational growth, the role can evolve into:

Founding CTO → CTO → Chief Technology & AI Officer / Head of Engineering The candidate will have the prospect to build and eventually lead Sapiogen AI's entire engineering and technology organization.

Education & Experience

Required:

- Bachelor's degree in Computer Science, Engineering, Information Technology, or equivalent practical experience.
- 4+ years of relevant software engineering / architecture experience.
- Strong hands-on engineering background.
- Experience designing and delivering production-grade software systems.
- Strong understanding of system architecture and cloud technologies.

Preferred:

- Experience in a startup or high-growth technology company.
- Experience working directly with international clients.
- Consulting or system integration experience.
- Experience in AI/ML or Generative AI.
- Previous Solution Architect, Staff Engineer, Principal Engineer, Tech Lead, CTO, or Forward Deployed Engineer experience.

The Opportunity This is a founding role for someone who wants to build, not just manage.

If you are someone who can sit with a founder to understand a business problem, architect the solution, build the first version, deploy it, and then lead a team to scale it — we want to hear from you.

Join Sapiogen AI and help us build the future of AI-first software engineering.

📌 Founding CTO/ Solution Architect/ Forward Deployed Engineer (Base Compensation: Upto Rs. ) (Ahmedabad)
🏢 Sapiogen AI
📍 Ahmedabad