Technical Architect

Technical Architect / Engineering Lead – Agentic AI SystemsLocation: Flexible (Hybrid – U.S. or India)About CogentAICogentAI is a secure agentic AI platform that transforms enterprise data, documents, and workflows into intelligent, auditable, and autonomous agents.Built at the intersection of AI science and enterprise engineering, CogentAI enables organizations to query, analyze, and act on their operational data with the assurance of zero-trust security, domain-specific intelligence, and real-time explainability.Our architecture blends: • Agentic orchestration and memory layers • Retrieval-augmented and fine-tuned intelligence • Secure connectors to ERP, CRM, and SaaS ecosystemsWe operate in an environment where performance, scale, and compliance are non-negotiable, and intelligent design defines our competitive edge.Role OverviewWe are seeking a hands-on Technical Architect / Engineering Lead who can work with peers and own aspects of and evolve the full technical stack behind CogentAI.This individual will serve as both architect and mentor—setting coding standards, shaping system design, and fostering a culture of vibe coding and technical excellence across distributed teams.You will work closely with the CEO and existing leads to translate vision into scalable, secure, and production-grade agentic systems, ensuring that CogentAI continues to push the limits of what enterprise AI can deliver.Key ResponsibilitiesArchitecture & Design • Lead the end-to-end design of CogentAI’s multi-layer architecture (Agentic, Optimization, Data), ensuring scalability, observability, and compliance. • Define and evolve architectural blueprints for agent orchestration, RAG, memory, and secure connector frameworks. • Balance model-centric intelligence (RAG, fine-tuning) with system-level performance (low-latency pipelines, caching, async I/O).Engineering Excellence • Establish and enforce best practices in code structure, documentation, testing, and CI/CD for a multi-language stack (Python, Rust, Node.js, React, FastAPI). • Lead by example through high-quality contributions to core modules—streaming, telemetry, or orchestration. • Promote and practice “vibe coding”: collaborative, efficient, and thoughtful engineering that blends creativity with discipline.Leadership & Mentorship • Mentor AI, backend, and front-end engineers to grow into cross-functional product developers. • Conduct design and code reviews with a focus on security, maintainability, and performance. • Collaborate with product and domain leads to translate business goals into technical execution plans.Performance, Scale & Security • Ensure every release meets targets for latency, reliability, and resource efficiency. • Drive secure-by-design principles—zero-trust, role-based access, and audit-ready observability. • Guide optimization of model I/O, data persistence, and cloud/on-prem deployment efficiency.Innovation • Stay ahead of the evolving Agentic AI ecosystem (LangGraph, LangChain, fine-tuning methods, hybrid model routing). • Experiment with smaller OSS LLMs, fine-tuning, and micro-agent orchestration strategies for air-gapped and sovereign deployments.Ideal ProfileExperience • 8–15 years in software engineering or architecture, with 3+ years in applied AI, LLM, or agentic system development. • Proven record of product delivery at scale—systems that perform securely under enterprise workloads. • Experience leading technical teams or architecting products with distributed components (APIs, message queues, async workflows).Technical Skills • Deep proficiency in Python, FastAPI, and Node.js; strong grasp of modern React/Next.js. • Familiarity with LangChain, LangGraph, or similar orchestration frameworks. • Working knowledge of MongoDB, Redis, and RDBMS (MySQL/PostgreSQL/Oracle). • Understanding of RAG pipelines, prompt optimization, and fine-tuning (LoRA/PEFT) approaches. • Exposure to observability stacks (Prometheus, Grafana, Langfuse). • Strong grounding in security, RBAC, and data governance practices.Mindset • Product-builder mentality: enjoys architecting systems that ship and scale, not just prototypes. • Passion for mentoring teams and building engineering culture. • Thrives in high-context, fast-moving environments. • Intellectually curious—stays current with LLM research, cloud infra, and distributed systems.What You’ll Build • A modular agentic framework that enterprises can trust with their most critical data. • A system that merges AI reasoning with auditable enterprise control. • The foundation for CogentAI’s future—autonomous, compliant, and intelligent enterprise workflows.Why Join Us • Shape a product already gaining traction with global enterprise clients in manufacturing, finance, and compliance. • Work alongside visionary engineers and leaders in the Agentic AI space. • Equity participation opportunities in a fast-growing, IP-driven platform. • A chance to leave your architectural fingerprint on one of the most ambitious AI infrastructure builds in the market.