1 день назад
Solutions Architect – AI
140 000 - 200 000$
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Solutions Architect – AI (AI/ML): Designing and delivering scalable AI/ML architectures for client solutions across data pipelines, model development, deployment, and monitoring with an accent on cloud platforms, production delivery, and responsible AI. Focus on designing microservices and containerized systems, establishing AgenticOps practices, and translating business challenges into secure, high-performing AI solutions.
Location: Richmond, Virginia, United States. Employees must be available to work onsite at a client location or office as requested; remote work is permitted when compatible with client and company needs.
Salary: $140,000–$200,000 per year
Company
provides technology, management, data, and consulting services that help clients build more efficient and successful businesses.
What you will do
- Design end-to-end AI/ML architectures covering data pipelines, model development, deployment, and monitoring.
- Advise client stakeholders on AI strategy, roadmaps, best practices, and opportunities to apply AI/ML.
- Lead workshops, discovery sessions, solution envisioning, and technical delivery from concept through production.
- Define scalable, secure, and high-performing solutions across AWS, Azure, and GCP.
- Collaborate with data scientists, engineers, and developers while establishing AgenticOps, CI/CD, model versioning, and lifecycle management practices.
- Support pre-sales through solutioning, proposals, presentations, reusable assets, and AI offerings.
Requirements
- Bachelor’s or Master’s degree in Computer Science, Data Science, Engineering, or a related field.
- 10+ years of experience in technology consulting, software architecture, or solution architecture.
- Hands-on experience designing and delivering AI/ML solutions in production environments, including Frontier AI, local, and open-source models.
- Experience with API design, microservices, containerization, Docker, Kubernetes, cloud AI/ML services, and large-scale data architectures.
- Proficiency in multiple programming languages and strong communication, analytical, stakeholder-management, and leadership skills.
- Applicants must already be authorized to work directly for any employer in the United States; visa sponsorship is not available.
Nice to have
- Experience with LangChain, vector databases, and prompt engineering.
- Knowledge of Spark, Kafka, Databricks, or Snowflake.
- AI/ML or cloud certifications.
- Experience with legacy systems, architectures, and SaaS.
Culture & Benefits
- Flexible work environment with remote work available when compatible with client and company needs.
- Comprehensive benefits including PTO, health coverage, disability insurance, and paid family leave.
- Certification and tuition support, on-demand learning, mentorship, and career development paths.
- Mental health and well-being support, fertility and family-forming coverage, and personalized lifestyle benefits.
- Employee resource groups, philanthropic opportunities, and 401(k) matching with no vesting period.
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