34 минуты назад
AI SME - Applied AI & Machine Learning (Azure)
176 200 - 264 300$
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
AI SME - Applied AI & Machine Learning (Azure): Leading architecture for large Azure programs spanning applications, platforms, data, and enterprise AI/ML adoption with an accent on modernization roadmaps, responsible AI, search and retrieval, and LLM operations. Focus on designing enterprise-ready agent workflows, evaluation and telemetry systems, secure AI platforms, and reusable architecture patterns across multi-team delivery.
Location: Remote - US
Base salary: $176,200–$264,300 USD annually, plus potential annual discretionary/utilization bonus.
Company
delivers cloud modernization, architecture, data, AI, and technology consulting solutions for clients.
What you will do
- Lead solution architecture and technical strategy for large Azure programs spanning applications, platforms, data, and AI.
- Define modernization blueprints, reference architectures, roadmaps, integration contracts, and reusable delivery standards.
- Guide architecture reviews, governance, discovery, delivery planning, risk management, and cross-team technical decisions.
- Advise executives and senior stakeholders on cloud modernization, platform strategy, AI adoption, investment, and program roadmaps.
- Develop reusable architectures, playbooks, landing-zone templates, workshops, and AI-assisted engineering practices.
- Mentor architects and senior engineers while supporting hiring, promotion reviews, capability development, and strategic pursuits.
Requirements
- 12+ years delivering enterprise-scale solutions in application development, cloud platforms, DevOps, data, or analytics.
- 7+ years in solution architecture and development or engineering leadership across multi-team programs.
- 10+ years of relevant experience defining and leading enterprise-wide AI/ML adoption strategies.
- Deep expertise in several areas including agent orchestration, Semantic Kernel or LangChain, vector search, LLM evaluation and operations, responsible AI, Azure AI services, Azure OpenAI, and Databricks.
- Experience with cloud-native architecture, APIs, containers, microservices, DevOps, data integration and governance, observability, automated testing, and Agile delivery at scale.
- Client-facing consulting and executive engagement experience, strong communication skills, and relevant Azure, Databricks, or cloud architecture certifications.
Nice to have
- Relevant cloud architecture certifications, especially Azure-focused certifications.
Culture & Benefits
- Virtual-first work environment with flexible work location.
- 401(k) match of up to 50% of eligible contributions.
- Minimum of 15 PTO days, 9 paid company holidays, and 2 floating personal days.
- Medical, vision, dental, life, disability, and flexible spending account options.
- Paid parental leave, a $67 monthly technology and home-office allowance, bonus eligibility, and an Employee Assistance Program.
- Work visa sponsorship is not available.
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