Job Title: Product Architect

Total Exp : 10 + years

Location : Noida/ WFO

Notice Period : Immediate Joiner only

Key Responsibilities

1. Product & Technology Architecture

- Own the end-to-end product architecture and technology roadmap.
- Define scalable, secure, modular and enterprise-grade architectures.
- Translate business requirements into product capabilities, technical architecture and solution blueprints.
- Design AI/ML architecture covering LLMs, GenAI, RAG, NLP, conversational AI, multimodal AI, AI agents and AI evaluation.
- Drive API-first, microservices, event-driven and cloud-native architecture.
- Ensure scalability, availability, reliability, observability, performance and maintainability.
- Define integration architecture across internal platforms, external products and third-party services.

2. Product Management

- Translate customer and business requirements into product capabilities, roadmap and technical priorities.
- Drive product backlog, feature prioritization and release planning with Product and Business teams.
- Perform competitive benchmarking and product capability assessment.
- Identify product gaps and define capabilities required to make products enterprise-ready and market competitive.
- Drive Build vs. Buy vs. Integrate decisions based on business value, technical feasibility, cost, scalability and time-to-market.
- Participate in customer discussions, discovery sessions and product demonstrations.

3. AI & Intelligent Product Capabilities The candidate should have a strong understanding of:

- Generative AI and LLM-based applications
- AI Agents and Agentic workflows
- RAG and knowledge-based AI
- NLP and conversational AI
- Multimodal AI
- AI-based recommendations and decisioning
- AI evaluation, benchmarking and quality frameworks
- Human-in-the-loop AI
- Model selection, orchestration and optimization
- AI governance, responsible AI and model monitoring

4. Enterprise Platform Capabilities Drive architecture and productization of:





- Multi-tenancy and tenant isolation
- RBAC and enterprise identity integration
- API gateway and partner integrations
- Enterprise integration frameworks
- Workflow and orchestration engines
- Analytics, dashboards and reporting
- Audit trails and data lineage
- Consent, privacy and data retention
- Security and compliance
- Monitoring, observability, SLA and production support architecture
- High availability, disaster recovery and business continuity

5. Product Engineering Leadership

- Work closely with Engineering, AI/ML, UX, QA, DevOps, Security and Product teams.
- Establish architecture standards, design principles and technical governance.
- Review technical designs and ensure alignment with product strategy and roadmap.
- Mentor architects, senior engineers and technical leads.
- Drive technical debt reduction, modernization and platform scalability.
- Ensure engineering execution remains aligned with product outcomes.

Required Skills

Architecture

- Distributed systems and microservices
- Cloud-native architecture – AWS / Azure / GCP
- REST APIs, event-driven architecture and API gateways
- Databases, caching, messaging and data platforms
- Kubernetes and containerization
- CI/CD, DevSecOps, observability and SRE principles
- Enterprise integration and solution architecture

AI / GenAI

- LLMs and Generative AI
- RAG and vector databases
- AI Agents / Agentic AI
- NLP and conversational AI
- Multimodal AI
- AI evaluation and benchmarking
- Model governance and responsible AI
- AI/ML lifecycle and MLOps

Data

- Data architecture and data engineering
- Structured and unstructured data




- Data pipelines and data processing
- Data quality, lineage and governance
- Real-time and batch processing
- Knowledge graphs / vector search is desirable

Product Management

- Product lifecycle management
- Product strategy and roadmap
- Product backlog and prioritization
- Agile / Scrum
- Customer discovery and requirement analysis
- Competitive analysis
- Build vs. Buy vs. Integrate decisions
- Enterprise SaaS product management
- Business case and ROI evaluation

Preferred Experience

- Experience building and scaling enterprise SaaS, AI/ML, GenAI or platform products.
- Experience working across Product, Engineering, AI/ML and Business functions.
- Experience taking products from concept → architecture → MVP → enterprise production → scale.
- Experience with complex enterprise integrations and third-party ecosystems.
- Experience evaluating competing products and defining product differentiation and technology strategy.
- Experience in multiple business domains is preferred, enabling the candidate to architect and productize solutions across different industries.

Key Success Measures The person should be able to:

1. Define and own the product and technology roadmap.
2. Convert business problems into scalable product and technology solutions.
3. Build enterprise-grade architecture supporting high-volume workloads.
4. Identify and leverage the right AI/GenAI capabilities to enhance products.
5. Establish solid security, privacy, governance, reliability and observability practices.
6. Identify competitive gaps and convert them into prioritized product capabilities.
7. Drive effective Build / Buy / Integrate decisions.
8. Reduce unnecessary technology and vendor dependencies through platform reuse and standardization.
9. Work effectively across Product + Engineering + AI/ML + Data + Business teams.
10. Drive products from strategy and architecture through execution and production scale.

📌 Product Architect (Noida)
🏢 e-Solutions
📍 Noida