1 month ago
Chicago, IL, USA +4 moreStaff+
Base Salary
$147k - $202k/yr
Responsibilities
- Design and implement production AI platform capabilities including agents, retrieval-augmented generation, tool calling, workflow orchestration, evaluation, and human review.
- Build an AI-native building knowledge platform linking building models, assets, documents, telemetry, and operational context.
- Develop multimodal data pipelines that convert BIM, Autodesk, geospatial, document, and operational data into structured, queryable knowledge.
- Deliver AI workflows for design, construction, commissioning, building operations, sustainment, and reinvestment use cases.
- Move solutions from prototype through pilot and production with governance, documentation, evaluation, observability, and operational readiness.
- Establish reusable engineering patterns and provide technical leadership as a lead individual contributor without people management.
- Partner with business, technology, security, and operations teams on discovery, workflow mapping, technical scope, implementation, rollout, and post-launch improvements.
Requirements
- 6+ years of experience in software engineering, platform engineering, data engineering, applied AI, automation, technology consulting, or a related technical delivery role.
- Experience designing, building, deploying, or maintaining AI-assisted workflows, large language model applications, or agentic systems for business use cases.
- Experience translating ambiguous workflows, spreadsheets, document repositories, project records, and stakeholder feedback into structured, testable, governed solutions.
- Experience leading discovery, workflow mapping, technical scoping, implementation, rollout, and post-launch iteration with users or domain teams.
- Ability to apply context engineering, retrieval-augmented generation, semantic layers, tool or function calling, structured outputs, orchestration, evaluation, and human-in-the-loop design.
- Programming or scripting capability in Python, TypeScript, JavaScript, or a comparable language.
- Experience integrating APIs, SaaS platforms, data sources, workflow tools, and enterprise systems.
- Ability to communicate technical decisions, risks, and outcomes clearly to technical and non-technical stakeholders.
- Preferred experience with OpenAI Agents SDK, LangChain, LangGraph, LlamaIndex, MCP, AutoGen, CrewAI, n8n, Autodesk construction and building platforms, BIM, geospatial systems, reality capture, simulation platforms, digital twins, AWS IoT, AWS Lambda, event-driven or serverless architectures, streaming telemetry, rules engines, knowledge graphs, entity resolution, ontologies, vector databases, Snowflake, data lakes, semantic layers, BI and reporting, and building lifecycle or operational technology systems.
Benefits
- Healthcare, dental, and vision insurance for employees and eligible dependents.
- 401(k) retirement plan with a company match of 50% up to 12% of eligible compensation.
- 22 days of starting annual PTO accrual, plus paid holidays and volunteer time.
- Additional wellness, financial, and work/lifestyle-specific benefits.
- Full-time employment in Denver, Chicago, Dallas, Phoenix, or San Francisco; other Prologis office locations may be considered.
- Offers are contingent upon successful completion of background verification.
Tech Stack
Categories
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.