AI Principal Technical Consultant (AI Services)
Мэтч & Сопровод
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Описание вакансии
TL;DR
AI Principal Technical Consultant (AI Services): Leading the architecture, engineering, and deployment of enterprise-grade AI solutions for clients with an accent on GenAI, agentic workflows, and production-ready ML systems. Focus on translating ambiguous business problems into scalable AI architectures, implementing RAG patterns, and establishing LLMOps standards.
Location: Remote (United States)
Salary: $230,000 - $300,000 per year
Company
builds digital business platforms by integrating cloud infrastructure, automation, analytics, and software delivery to drive enterprise digital transformation.
What you will do
- Lead the architecture, design, and deployment of enterprise-grade AI, GenAI, and agentic solutions.
- Design and build AI solution patterns such as RAG, workflow orchestration, and human-in-the-loop review.
- Serve as the technical authority for client engagements, owning solution quality and engineering standards.
- Establish production-grade LLMOps/MLOps practices, including evaluation guardrails and performance monitoring.
- Collaborate with strategy and business teams to connect priorities with technical execution and define success metrics.
- Mentor engineers and contribute to reference architectures and accelerators to strengthen AI delivery capabilities.
Requirements
- 7–12+ years of experience in software engineering, ML engineering, or AI solution architecture.
- Strong hands-on expertise with Python, APIs, and cloud-native development.
- Proven track record of deploying production-grade AI, GenAI, or advanced analytics solutions.
- Practical familiarity with RAG, LLM application design, vector databases, and agentic workflows.
- Proficiency in modern engineering practices including CI/CD, containerization, and scalable deployment.
- Must be based in the United States to be eligible for employment and benefits.
Nice to have
- Experience with cloud platforms such as Azure, AWS, GCP, Databricks, or Snowflake.
- Experience with LLM frameworks, orchestration tools, or AI governance tooling.
- Background in high-performing technology consulting or AI product development.
- Advanced degree in Computer Science, Engineering, or Data Science.
Culture & Benefits
- Culture of belonging and diversity through initiatives like Moving Women and RISE .
- Access to a multi-million-dollar lab with top-notch technologies.
- Sponsorship for certifications and continued professional learning.
- Comprehensive US benefits: Medical, Dental, Vision, and 401(k).
- Paid company holidays, PTO, and parental/caregiver leave.
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