1 month ago
Denver, CO, USA or San Francisco, CA, USASenior
Base Salary
$124k - $171k/yr
Responsibilities
- Design and deliver AI-powered applications, agents, copilots, task assistants, and workflow automations.
- Integrate AI services with portals, custom applications, service management platforms, knowledge and analytics systems, procurement and contract processes, and AWS services.
- Lead AI solutions from discovery and rapid prototyping through production deployment, adoption, measurement, and continuous improvement.
- Translate business needs into scalable technical designs with Digital Experience, Customer Experience, Service Operations, Product, Platform Engineering, and other stakeholders.
- Define reusable patterns for prompt frameworks, retrieval-augmented generation, text-to-SQL, semantic data models, agent workflows, evaluation, guardrails, human review, and workflow orchestration.
- Build secure, reliable, observable, and cost-effective AI applications using APIs, Model Context Protocol, agent-to-agent services, cloud services, automation frameworks, and enterprise integration patterns.
- Measure automation rate, adoption, accuracy, customer satisfaction, productivity improvement, operational savings, and ROI while mentoring engineers, contractors, and implementation partners.
Requirements
- 6+ years of professional experience in software engineering, AI engineering, automation engineering, digital technology, data and analytics, or a related technical field.
- Demonstrated experience designing, building, and deploying AI-powered applications, agents, copilots, or workflow automation solutions.
- Experience with generative AI, large language models, embeddings, vector databases, retrieval-augmented generation, prompt engineering, and agent workflows.
- Programming experience with Python and Node.js for APIs, automations, AI applications, Model Context Protocol servers, agent-to-agent services, and integrations.
- Experience integrating enterprise systems through APIs, JSON, webhooks, authentication, event-driven workflows, and secure data exchange.
- Experience with Dataiku, Snowflake, AWS, or comparable enterprise data and AI platforms.
- Experience with CI/CD, Infrastructure-as-Code, containers, DevOps practices, or scalable cloud deployment patterns.
- Experience implementing testing, evaluation, monitoring, and feedback loops for AI applications, retrieval-augmented generation solutions, or agent workflows.
- Ability to independently lead technical delivery and explain AI solutions clearly to technology and operational stakeholders.
- Preferred qualifications include a bachelor’s degree or equivalent experience, experience with customer-facing digital platforms and service operations, enterprise platforms such as CRM and Drupal CMS, reusable AI reference architectures, multi-agent workflows, tool-using agents, context engineering, agent memory, human-in-the-loop processes, and distributed engineering or vendor collaboration.
Benefits
- Full-time US roles include healthcare, dental, and vision insurance for employees and eligible dependents.
- 401(k) plan with a company match of 50% up to 12% of eligible compensation.
- 22 days of starting annual PTO, paid holidays, and volunteer time.
- Additional wellness, financial, and work/lifestyle-specific benefits are offered.
- This is a full-time role located in San Francisco, California, with an additional location in Denver, Colorado.
- Offers are contingent upon successful completion of background verification.
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