Role : Senior Solution Architect AI

Experience : 8 - 12 Years (3 - 4 years in AI/ML / GenAI )

Job Location : Remote (India) Delhi NCR Preferred

Reporting To : CEO

Role Overview :

We are looking for an AI Solution Architect who can design and build practical AI systems on top of enterprise data and business workflows.

This is not a research role. This is a hands-on role focused on solving real business problems using AI.

The person will work closely with cross-functional teams to understand how work happens and translate that into AI-enabled solutions.

Key focus areas include document intelligence, knowledge-driven systems, and AI-powered search, insights, and content generation across enterprise platforms.

Responsibilities :

1. Understand the Business and Gather Requirements :

- Work directly with stakeholders across functions (Sales, Delivery, Finance, HR)

- Understand real workflows and how information flows across systems

- Identify where AI can reduce effort, improve quality, or automate decisions

- Convert loosely defined problems into clear, buildable requirements.

2. Design and Build AI Systems :

- Design end-to-end AI systems on top of enterprise data and documents

- Build pipelines for :

1. Document ingestion

2. Classification

3. Information extraction

4. Relationship mapping

- Develop systems for intelligent search, Q&A, and content generation

- Enable AI-driven workflows that assist users in creating and refining structured outputs.

3. Work with Enterprise Systems :

- Integrate AI solutions with document repositories and enterprise platforms

- Work with APIs and middleware to connect AI systems with business tools

- Ensure outputs are usable within existing workflows, not separate systems.

4. Build Fast, Then Improve :

- Deliver working solutions quickly, even if not perfect

- Iterate based on real user feedback

- Make practical trade-offs between speed, accuracy, and scalability

5. Own UX / UI Simplicity :

- Design simple, intuitive user flows

- Ensure users can easily :

1. Provide inputs

2. Review outputs

3. Interact with AI systems

- Work with frontend teams or directly build lightweight interfaces when needed

6. Drive Architecture and Standards :

- Define architecture for AI pipelines (LLMs, vector stores, knowledge graphs)

- Ensure systems are scalable, secure, and maintainable

- Architect multi-cloud or hybrid cloud AI solutions, leveraging services from AWS, Azure, or GCP for scalable compute, storage, orchestration, and deployment.

- Ensure seamless integration of ML/AI systems via RESTful APIs with frontend interfaces (e.g., dashboards, portals) and backend systems (e.g., CRMs, ERPs).

Qualifications Required :

- Bachelors or Masters degree in Computer Science, Engineering, or a related field.

- 8 - 12 years of experience in software architecture and system design, including at least 3 - 4 years working with AI/ML or generative AI systems.

- Strong experience with LLM-based systems, including Retrieval-Augmented Generation (RAG), embeddings, and prompt design.

- Strong hands-on programming skills (preferably Python) and experience building APIs and backend systems.

- Strong understanding of cloud platforms (Azure, AWS, or GCP) and building scalable AI systems.

- Strong requirement gathering and stakeholder management skills, with the ability to work with non-technical users.

- Strong requirement gathering and stakeholder management skills, with the ability to work with non-technical users.

- Clear written communication and documentation skills

Desired Attributes :

- Highly curious and proactive : constantly exploring new AI tools and technologies.

- Interested in understanding how systems and processes work

- Structured thinker who approaches problems rigorously

- Enjoys experimentation and rapid testing of new technologies

- Able to connect engineering work to measurable business outcomes

- Strong listener and interviewer : able to ask the right questions and uncover insights from teams.