AI deployment engineer (West)
About this role
Partnering directly with enterprise clients, deployment engineers uncover unique business challenges and architect custom AI-powered solutions. Daily work involves designing tailored applications, templates, and integrations that leverage the company platform, APIs, and Knowledge Graph capabilities.
Writer builds an end-to-end enterprise generative AI platform utilizing proprietary large language models. The engineering team enables major global brands to orchestrate AI-powered work grounded in corporate data. The position exists to drive customer adoption and implementation success while feeding crucial user feedback back into the internal product roadmap.
Ideal candidates bring a strong technical background combined with client-facing expertise. Builders who enjoy translating complex technical concepts into prescriptive solutions thrive in this environment.
What you will do
- Partner deeply with enterprise customers to identify strategic AI use cases, validate technical feasibility, and own the end-to-end implementation of tailored solutions.
- Architect and deliver custom applications, templates, and integrations leveraging the company platform, APIs, and Knowledge Graph capabilities to solve complex business challenges.
- Translate intricate technical concepts and platform capabilities into clear, prescriptive solution recommendations while guiding customers through the generative AI landscape.
- Collaborate relentlessly with internal product and engineering teams by providing crucial customer feedback that directly influences product roadmaps and drives continuous innovation.
- Drive down customer time-to-value by developing scalable processes, robust documentation, and efficient workflows for technical integrations.
- Champion the successful adoption and expansion of AI solutions within customer accounts to ensure maximum impact and return on investment.
What you need
- Candidates must have over 5 years of hands-on experience in technical SaaS roles, including at least 3 years specifically in solutions architecture, technical consulting, or technical account management.
- Demonstrate deep technical fluency in Python alongside extensive experience leveraging APIs for designing sophisticated prompts and understanding linguistic principles.
- Bring a proven track record of architecting and delivering complex technical solutions for Fortune 500 enterprises within a fast-paced B2B SaaS environment.
- Exhibit exceptional communication skills and executive presence capable of simplifying complex AI concepts for both technical teams and C-suite leadership.
- Possess a builder's mindset with a drive to connect with customers, challenge the status quo, and own successful outcomes for strategic accounts.
Benefits
- Generous PTO, plus company holidays
- Medical, dental, and vision coverage for employees and families
- Paid parental leave for all parents (16 weeks)
- Fertility and family planning support
- Early-detection cancer testing through Galleri
- Flexible spending account, dependent FSA options, and health savings account with company contribution
- Annual work-life stipends for wellness and learning development
- Company-wide and team off-sites
- Competitive compensation, company stock options, and 401k
Skills and tech stack
Questions candidates ask
What is the remote or office policy for this job?
This is a hybrid role based out of office hubs in San Francisco, Chicago, Austin, New York City, Seattle, and London.
What is the compensation range for the role?
Compensation ranges from $146K to $204K, accompanied by offered equity. The company hires at multiple levels with compensation scaled to match experience, expertise, and scope.
What kind of technical stack will I use?
The role involves working with Python, APIs, Knowledge Graph capabilities, and enterprise-grade large language models.