Job Description:

- Lead end-to-end product delivery across multiple technology products and platforms, owning the full architecture lifecycle from design to production.

- Drive architecture discussions including API-First design, microservices decomposition, and cloud infrastructure decisions ensuring alignment with product strategy.

- Collaborate with engineering, product, and business teams to define requirements, timelines, and delivery milestones.

- Manage full-stack engineering initiatives involving AI/ML, frontend (Next.js), backend (Python, Node.js), and databases (PostgreSQL, PG Vector).

- Oversee AWS infrastructure design and operations across AppRunner, EC2, RDS, EBS, S3, and associated services.

- Govern and evolve the API Backend including the API Layer (Next.js Service), Data Access Layer (GraphQL), Storage & Infrastructure Layer, and AI Platform Layer.

- Conduct R&D to evaluate new technologies and enhance product capabilities, particularly in LLM, RAG, and Agentic AI domains.

- Implement Agile best practices: sprint planning, backlog management, and risk mitigation.

- Monitor KPIs, budget, and performance metrics to ensure on-time, high-quality delivery.

- Ensure smooth integration of low-code/no-code accelerators to reduce development timelines.

- Maintain technical documentation and ensure security and compliance standards are met (encryption, audit logs, SSL/TLS).

Qualifications and Skills:

- Bachelor's or Master's degree in Computer Science, Engineering, IT, or equivalent field.

- 10+ years of professional experience in technical project management with hands-on architecture ownership.

- Deep expertise in full-stack development including:

1. Frontend: Next.js / React JavaScript frameworks (AWS AppRunner deployment)

2. Backend: Python (EC2-hosted microservices), Node.js / Next.js Service (AWS AppRunner)

3. API / Data Layer: Hasura GraphQL server (AWS AppRunner), REST API design and governance

4. Databases: PostgreSQL with PG Vector extensions, AWS RDS with encryption and audit logs

5. File & Static Storage: AWS S3 (user uploads, AI pipeline docs, static files)

- End-to-end architecture ownership experience including:

1. API-First architecture design defining Presentation, API, Data Access, Storage, and AI Platform layers

2. Secure API Gateway design and governance

3. AI Processing Pipeline: Ingestion & Parsing, Chunking & Metadata Extraction, Embedding, LLM integration

- Hands-on AI/ML experience including:

1. LLM-based models for recommendation systems, predictive insights, and extraction from unstructured data

2. RAG (Retrieval-Augmented Generation) pipeline design and operations

3. Agentic AI systems design and deployment

4. Vector database usage (PG Vector / PostgreSQL) for semantic search and embedding

- Experience with microservices, REST APIs, and GraphQL in production environments.

- Knowledge of DevOps practices: CI/CD, version control, and environment management.

- Exceptional R&D mindset with the ability to evaluate and adopt emerging technologies.

- Excellent stakeholder communication, presentation, and coordination skills.

- Strong analytical, problem-solving, and decision-making abilities.

- Proven cross-functional team management across engineering, product, and business units.

- Ability to thrive in fast-paced environments with changing priorities and multiple concurrent projects.

- Strong experience in end-to-end product ownership & architecture design.

- Expertise in API-First architecture & microservices.

- Hands-on knowledge of Next.js, React, Node.js, Python.

- Strong experience with GraphQL & REST APIs.

- Proficiency in PostgreSQL (including PG Vector).

- Hands-on experience with AWS (EC2, RDS, S3, AppRunner).

- Experience in AI/ML, LLMs, RAG pipelines & Agentic AI systems.

- Strong understanding of full-stack system design & scalable platforms.

- Experience in ERP/enterprise system integrations.

- Knowledge of CI/CD, DevOps practices & cloud deployment.

- Strong stakeholder management & cross-functional leadership.

- Excellent analytical thinking & problem-solving skills.