Checkr8 дней назад
Staff AI Solutions Engineer
Зарплата не указана
РЫНОК
18 058 ₽медиана по профессии
Data Scientist · 9 вакансий с указанной зарплатой
12 500половина предложений: 13 417–20 00031 333
Работодатель не указал зарплату — сравните с рынком сами.
San Francisco
Обязанности
- 01Embed with internal teams across departments to deeply understand their workflows, gather requirements, identify high-impact AI use cases, and translate business needs into actionable technical solutions
- 02Own and facilitate recurring AI office hours for drop-in support and guidance
- 03Design and lead company-wide AI hackathons that inspire experimentation, knowledge sharing, and the discovery of innovative use cases
- 04Evaluate, configure, and recommend the right AI tools and platforms for the organization
- 05Design, develop, and deploy custom AI solutions tailored to specific team needs—leveraging LLMs, RAG architectures, agentic workflows, and automation frameworks to solve real business problems
- 06Develop reusable playbooks, prompt libraries, workflow templates, how-to guides, and reference architectures that enable teams to self-serve on AI adoption
- 07Architect and implement standardized, templatizable AI workflows that can be adapted and deployed across multiple teams and use cases, driving consistency and scale
- 08Lead hands-on training sessions, workshops, and demos to teach teams how to effectively use AI tools and integrate them into their day-to-day work
- 09Partner closely with Engineers, Business Systems, Security, Data Engineering, and other AI Solutions Engineers to integrate AI technologies into existing systems, ensuring security, compliance, and scalability
- 10Contribute to the AI strategy and roadmap at the organizational level, aligning initiatives with business priorities and ensuring AI investments deliver maximum value
- 11Present findings, demo solutions, share progress updates, and advocate for AI adoption with stakeholders ranging from individual contributors to executive leadership
Требования
- 01Bachelor’s degree in Computer Science or equivalent experience
- 025+ years of experience in engineering, solutions engineering, or technical enablement roles, with a track record of deploying solutions that measurably enhance productivity
- 033+ years of hands-on experience developing AI-centric products and solutions, including machine learning, generative AI, LLMs, RAG architectures, agentic frameworks, and prompt engineering
- 04Deep proficiency in Python and experience with AI frameworks and integration of LLM models into applications
- 05Demonstrated ability to lead enablement programs—including running office hours, hackathons, training sessions, and creating scalable documentation and resources
- 06Proven experience gathering requirements from non-technical stakeholders and translating them into well-scoped technical solutions
- 07Exceptional ability to tackle open-ended, ambiguous problems in unstructured environments, synthesizing complex information into actionable plans and deliverables
- 08Strong communication and presentation skills, with the ability to make complex AI concepts accessible to diverse audiences—from engineers to executives
- 09A builder’s mindset: you are equally comfortable architecting a solution, writing production code, creating a training deck, and facilitating a workshop
- 10A deep passion for AI and a genuine desire to help others harness its potential to transform how they work
Условия
- 01On-target Earnings OR Base Salary range (San Francisco, CA) $177,000 — $208,000 USD
- 02Learning and development allowance
- 03Competitive cash and equity compensation, and opportunity for advancement
- 04100% medical, dental, and vision coverage
- 05Up to $25K reimbursement for fertility, adoption, and parental planning services
- 06Flexible PTO policy
- 07Monthly wellness stipend
- 08In office work environment