Senior AI Architect (Generative AI)
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Location: United States; candidates must reside within reasonable commuting distance of a office or approved coworking location. Hybrid work includes at least three days per week in a office or approved coworking location between client engagements, with possible onsite client work based on engagement needs.
Base salary: $117,300–$121,400 annually, plus an annual performance bonus.
Company
is a global management consulting group whose AI & Data Business Unit delivers data science, generative AI, cloud, and digital transformation solutions.
What you will do
- Define and own end-to-end architectures for data and AI projects, including cloud infrastructure, data pipelines, model serving, generative AI applications, and agent-based systems.
- Act as the primary technical contact for CIO, CISO, and engineering stakeholders, aligning solutions with business, security, regulatory, and cost requirements.
- Lead architecture reviews, design sessions, technical governance, and production-readiness efforts covering scalability, reliability, observability, and cost optimization.
- Guide engineering teams, remove technical impediments, and oversee projects from advisory and assessments through POCs, MVPs, and production deployment.
- Support pre-sales through technical scoping, effort estimation, proposals, client presentations, and workshops.
- Mentor consultants and engineers while contributing to internal IP, accelerators, and reference architectures.
Requirements
- Master’s degree in computer science, engineering, or a related field.
- 4–7 years of experience in solution architecture, cloud architecture, or senior engineering with significant design responsibility.
- Deep expertise in at least two of AWS, Microsoft Azure, Google Cloud Platform, Databricks, OpenAI, Anthropic, and NVIDIA.
- Strong knowledge of cloud architecture patterns, data engineering, classical machine learning, deep learning, generative AI, and autonomous agents.
- Proven ability to work with senior client stakeholders and communicate complex technical concepts to technical and non-technical audiences.
- Fluent French and professional English required; applicants must already be legally authorized to work in the United States.
Nice to have
- Hands-on Python, Terraform/IaC, or similar coding experience.
- MLOps or LLMOps tooling and production deployment experience.
- Professional cloud or data engineering certifications.
- Management consulting, client-facing delivery, AI compliance, or responsible AI experience.
Culture & Benefits
- In-person collaboration through offices, coworking locations, and client engagements.
- Medical, dental, vision, life, AD&D, supplemental insurance, and EAP benefits.
- 401(k) with company match and immediate vesting, plus HSA and FSA options.
- Paid parental leave, generous PTO, nine company holidays, and one floating holiday.
- Cell phone stipend, well-being programs, professional development support, college savings, and student loan repayment programs.
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