2 дня назад
Senior Principal Architect, Applied AI Enterprise
172 630 - 258 950$
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Senior Principal Architect, Applied AI Enterprise (Agentic AI): Designing and deploying enterprise AI-powered solutions centered on agentic systems that can reason, plan, and take action, with an accent on AI architecture, orchestration, cloud platforms, and MLOps. Focus on building multi-agent systems, integrating tools and data retrieval patterns, evaluating emerging AI frameworks, and delivering scalable production AI platforms.
Location: Onsite five days a week at the Irving, Texas; Peoria, Illinois; or Broomfield, Colorado office. Relocation is available. Visa sponsorship is not available.
Salary: $172,630–$258,950 per year
Company
Manufactures construction and mining equipment, engines, industrial gas turbines, and diesel-electric locomotives, supported by a global dealer network.
What you will do
- Develop detailed architecture deliverables for business problems solved through agentic AI systems.
- Design technical infrastructure for AI applications, including orchestration layers, tool integrations, data retrieval, and testing.
- Lead the evaluation and deployment of emerging AI technologies and frameworks.
- Translate business requirements into AI solution designs and collaborate with IT, business functions, and product teams.
- Shape enterprise AI architecture and contribute to the organization’s AI strategy.
Requirements
- Deep understanding of modern AI/ML architectures, including transformer models, RAG, agent frameworks, and model orchestration.
- Hands-on experience with Azure OpenAI Service, AWS Bedrock, Google Vertex AI, and multi-cloud or hybrid solutions.
- Strong knowledge of data architecture, target architecture, requirements analysis, and enterprise integration.
- Strong MLOps experience, including model versioning, deployment pipelines, monitoring, and governance.
- Experience with production agentic AI systems, LLM deployment patterns, vector databases, embedding models, and observability tools.
- Ability to communicate complex technical concepts to non-technical stakeholders and influence architecture decisions across teams.
Nice to have
- Experience with LangChain, LangGraph, Semantic Kernel, or similar orchestration frameworks.
- Experience with prompt engineering, function calling, context engineering, and LLMOps.
- Broad software engineering experience with API design and authentication or authorization patterns.
Culture & Benefits
- Career development and opportunities to work with emerging technologies.
- Medical, dental, and vision benefits.
- Paid time off, holidays, and volunteer time.
- 401(k), HSA, FSA, disability, life insurance, and parental leave benefits.
- Tuition reimbursement, incentive bonus, employee discounts, and assistance programs.
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