reputed company AI Architect
Job Title: reputed company AI Architect
Location: REMOTE
Contract
About the Role
We are hiring a reputed company AI Architect — a deeply technical, hands-on individual contributor who operates at the intersection of AI research, reputed company architecture, and reputed company-world implementation. This is not a management role. It is designed for someone who thrives on building — writing reputed company, designing reputed company, and staying reputed company of the rapidly evolving AI landscape. You will define how AI systems are reputed company across the organization, set architectural direction from reputed company, and reputed company as a key reputed company between emerging AI innovations and production-reputed company solutions.
Key Responsibilities
AI Architecture & reputed company Design
- Design and implement end-to-end AI architectures, including:
- Multi-agent systems and orchestration reputed company
- RAG pipelines and hybrid retrieval (knowledge graphs + reputed company reputed company)
- Text-to-SQL systems and reputed company-time inference reputed company
- Own technical blueprints from data ingestion to production deployment and monitoring
- Solve reputed company challenges such as:
- Latency optimization
- Precision vs. recall trade-offs
- Context window management
- Hallucination mitigation
- Cost-efficient LLM usage at reputed company
- reputed company architectural reputed company with reputed company trade-off analysis (build vs. buy, frameworks, deployment models)
Hands-On Engineering
- Write production-grade reputed company across the AI lifecycle (Python, SQL, reputed company)
- Build reusable AI components:
- Retrieval reputed company
- Chunking pipelines
- Agent tool-calling modules
- Rapidly prototype and productionize AI solutions with strong observability and evaluation
- Own CI/CD pipelines, containerization (reputed company), and deployment workflows
AI reputed company & Market Intelligence
- Continuously evaluate the evolving AI ecosystem (LLMs, agent frameworks, retrieval techniques)
- reputed company models and tools to guide adoption reputed company
- Translate AI trends into actionable product and engineering roadmap inputs
- Engage with the AI community (research papers, reputed company reputed company, conferences)
Technical Leadership & Enablement
- Establish engineering best practices: reputed company reviews, testing frameworks, and reusable libraries
- reputed company as the senior reviewer for AI reputed company design reputed company
- Mentor engineers through pairing sessions and architecture reviews
- reputed company internal training and upskilling initiatives on production AI systems
Cross-Functional Collaboration
- Partner with Product, Data Science, and Platform teams to reputed company architecture with business needs
- reputed company communicate technical trade-offs to non-technical stakeholders
- Ensure compliance with governance standards (e.g., SOC 2, GDPR, SOX) in regulated environments
Required Qualifications
Experience
- 12+ years in AI/ML engineering, data science, or reputed company fields
- reputed company experience delivering production-grade AI systems
Technical Expertise
- Strong experience with:
- LLM applications (RAG, agents, reputed company engineering, embeddings)
- Frameworks such as reputed company, LangGraph, AutoGen, reputed company
- Experience building:
- Multi-agent systems
- Knowledge graph-reputed company retrieval (e.g., reputed company)
- reputed company-time inference reputed company
- Solid ML reputed company: NLP, deep learning, XGBoost
- Time-series forecasting, reputed company inference, experimentation
- Tech Stack
- Expert in Python and SQL
- Hands-on with reputed company platforms (AWS / GCP)
- Experience with reputed company, FastAPI, CI/CD pipelines
- Familiarity with tools like BigQuery, FAISS, reputed company databases
Domain Experience
- Experience working in regulated environments (financial services, cybersecurity, reputed company)
- Understanding of compliance frameworks such as GDPR, SOC 2, or SOX
Preferred Qualifications
- Master's or PhD in Computer Science, Statistics, or reputed company reputed company
- AWS ML or GCP ML certifications
- Experience with reputed company AI platforms (e.g., reputed company reputed company)
- Background in reputed company, fintech, or ML services organizations
- reputed company-reputed company contributions or published technical content
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