Technical Architect/Lead Product Engineer

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. (ref:hirist.tech) 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 & Infr