23 часа назад
Principal AI Engineer (Agentic AI)
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Principal AI Engineer (Agentic AI) (Azure AI/LLMs): Building and delivering production-grade AI systems, including agent workflows, RAG solutions, data pipelines, and integrated AI services, with an accent on scalable architecture, security controls, and responsible AI governance. Focus on designing resilient agentic systems, implementing evaluation and safety mechanisms, and leading technical delivery from discovery through production.
Location: Vienna, Virginia, United States (hybrid). Monday–Friday, 8:00 AM–4:30 PM, at 820 Follin Lane.
Company
provides financial services and develops enterprise technology and AI capabilities for its organization.
What you will do
- Lead AI solution delivery from discovery through production, including planning, milestones, dependencies, risk management, and release readiness.
- Architect and implement scalable AI systems with data pipelines, model training and inference patterns, and application or service integrations.
- Build production-grade AI agents using LLM workflows, orchestration, RAG, grounding, evaluation gates, and safety controls.
- Establish engineering standards for code quality, automated testing, performance, observability, operational runbooks, and reusable AI components.
- Drive AI governance, model lifecycle practices, responsible AI controls, technical roadmaps, and operational resilience.
- Mentor engineers, lead design and code reviews, and present technical strategies and delivery status to senior leadership.
Requirements
- Must be authorized to work in the United States without current or future sponsorship.
- Bachelor’s degree in computer science, statistics, engineering, or a related field, or equivalent education, training, and experience.
- 7–10 years of experience in AI or a similar field, including modern generative AI and agentic patterns.
- Hands-on experience with Azure AI Foundry, AI agents, MCP or A2A, Databricks, vector stores, graph databases, and API integrations for LLMs.
- Advanced Python and API or service development skills, including distributed, resilient, containerized systems and automated testing.
- Experience with AI threat modeling, prompt-injection defenses, data-loss prevention, agent authorization, secure tool execution, responsible AI, model risk, Agile/SAFe, and CI/CD.
Culture & Benefits
- Meaningful career experience within an energized, engaged, and committed organization.
- Competitive pay and generous benefits and perks.
- Recognized among leading employers for workplace culture, IT, technology workers, veterans, and large employers.
- Assessment may be required during the hiring process.
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