3 months 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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About Prologis
Prologis is a public logistics real estate company that develops, owns, and leases industrial warehouses and distribution facilities for e-commerce, retail, and logistics customers. It also provides operations, energy, mobility, and warehouse solutions that support tenants’ supply chains. Founded in 1983 and headquartered in San Francisco, it operates globally and trades on the NYSE as PLD, with a portfolio exceeding one billion square feet of logistics space.