3 дня назад
AI Architect, Internal Business Applications
150 000 - 200 000$
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
AI Architect, Internal Business Applications (AI/LLM): Designing and implementing secure, scalable AI-powered workflows and intelligent automation platforms for Finance, Human Resources, Operations, and Customer Success with an accent on LLM orchestration, enterprise integration, data architecture, and governance. Focus on building RAG and agentic systems, establishing MLOps and LLMOps capabilities, and solving reliability, security, compliance, and cost-optimization challenges at enterprise scale.
Location: US Remote
Salary: $150,000–$200,000 per year
Company
develops enterprise software and financial technology solutions.
What you will do
- Define the architecture, standards, and governance framework for AI-first capabilities, including LLM orchestration, agentic workflows, and enterprise integrations.
- Design and implement secure AI runtimes, model-serving platforms, data-access controls, intelligent automation, and decision-support solutions.
- Translate requirements from Finance, Human Resources, Operations, Customer Success, and other functions into scalable AI architectures and implementation roadmaps.
- Establish data integration, governance, quality, reliability, performance, scalability, and cost-optimization standards across enterprise platforms.
- Develop APIs, reusable services, MLOps and LLMOps capabilities, monitoring, observability, and production governance.
- Lead stakeholder alignment, adoption, and change management for AI-enabled solutions.
Requirements
- 8+ years of experience in software architecture, platform engineering, AI/ML systems design, data architecture, or related disciplines.
- 4+ years designing and deploying production-scale AI systems, including LLMs, agent orchestration, and intelligent automation.
- Expertise in LLM serving, RAG, agentic orchestration, AI workflow design, enterprise security, identity management, data governance, privacy, and compliance.
- Hands-on experience with Python, SQL, cloud platforms such as AWS, Azure, or Google Cloud, Docker, Kubernetes, API design, distributed systems, MLOps, LLMOps, Databricks, and Snowflake.
- Strong executive communication, stakeholder management, and architectural leadership skills from strategy through implementation and operations.
Nice to have
- Experience in fintech, financial services, or enterprise SaaS environments.
- Experience with LLM fine-tuning, prompt engineering, RAG systems, vector databases, event-driven architectures, real-time data processing, or workflow orchestration.
- Knowledge of AI governance, model monitoring, drift detection, responsible AI, and enterprise ERP, CRM, or HCM ecosystems.
- Background in computer science, engineering, high-scale product environments, or global organizations.
Culture & Benefits
- Remote work in the United States.
- Medical, dental, vision, life, and disability insurance.
- Flexible paid time off and paid holidays.
- 401(k) plan with company match.
- Background, credit, and drug checks are part of the offer process.
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