{"id":2427811,"url":"https://alion.io/job/prologis-senior-ai-applied-engineer","title":"Senior AI Applied Engineer","company":{"id":1755030,"name":"Prologis","domain":"prologis.com","url":"https://alion.io/company/prologis","size_band":"1001-5000","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Workday","truth_index":null},"role":"AI/ML","role_family":"AI/ML","seniority":"senior","employment_type":"full_time","work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["San Francisco, United States","Chicago, United States","Denver, United States","Los Angeles, United States","Phoenix, United States"],"countries":["US"],"hiring_countries":[],"hiring_countries_total":0,"salary":{"min":125000,"max":186000,"currency":"USD","period":"year","gross":null,"usd_annual":186000},"salary_estimate":null,"experience_years_min":8,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Agentic Workflows","optional":false},{"name":"Agile","optional":false},{"name":"AI Agents","optional":false},{"name":"AWS","optional":false},{"name":"Clean Architecture","optional":false},{"name":"Function Calling","optional":false},{"name":"Hallucination","optional":false},{"name":"IAM","optional":false},{"name":"LLM","optional":false},{"name":"LLM Guardrails","optional":false},{"name":"Multi-Agent Systems","optional":false},{"name":"Python","optional":false},{"name":"RAG","optional":false},{"name":"SQL","optional":false},{"name":"Tool Use","optional":false},{"name":"LLM Evaluation","optional":true},{"name":"LLMOps","optional":true},{"name":"Model Context Protocol","optional":true},{"name":"OpenAI","optional":true}],"status":"live","first_seen_at":"2026-08-26T00:00:00Z","employer_posted_date":"2026-08-26","last_verified_at":"2026-10-13T12:45:33Z","board_verified":true,"closed_at":null,"days_open":49,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":49},"description":"At Prologis, we don’t just lead the industry-we define it with a 1.3 billion square foot portfolio and an annual throughput of approximately $3.2 trillion. We create the intelligent infrastructure that powers global commerce, seamlessly connecting the digital and physical worlds. From agile supply chains to energy solutions, our ecosystems help your business move faster, operate smarter and grow sustainably. With unmatched scale, innovation and expertise, Prologis is a category of one-not just shaping the future of logistics but building what comes next.Job Title:\nSenior AI Applied EngineerCompany:\nPrologis\nA day in the life\nIn this role, you will explore and experiment with emerging AI techniques to establish new and evolve existing enterprise AI patterns. Your time will be spent designing and running hypothesis-driven pilots, evaluating results, and translating learnings into clear recommendations, reference architectures and next steps. You will collaborate closely with AI platform and delivery teams to transition successful approaches into scalable architectures. Along the way, you’ll communicate findings through demos and concise readouts that connect technical outcomes to business impact.\nKey Responsibilities:\nDrive AI innovation and rapid experimentation to advance Prologis capabilities (agentic workflows, reasoning approaches, evaluation methods, and emerging techniques).\nDesign and execute timeboxed pilots with clear hypotheses, success metrics, and kill/scale decision points.\nEnhance and evolve existing enterprise AI patterns and standards (e.g., retrieval-augmented generation, text-to-SQL, evaluation/observability, guardrails) using new approaches and measured outcomes.\nBuild reference implementations and handoff documents so successful experiments transition into scalable architectures in partnership with the Central AI team.\nDevelop within the AWS ecosystem using secure, observable, cost-aware architectures and strong software engineering practices.\nCommunicate results through demos and concise readouts that connect technical outcomes to business value, tradeoffs, and recommended next steps.\nSupport priority project work as cycles allow, focused on de-risking and acceleration with clear entry/exit criteria.\nContinuously evaluate emerging AI tools, frameworks, and vendor offerings; synthesize external research, OSS trends, and vendor capabilities into actionable recommendations for Prologis.\nRequired Qualifications:\n8+ years of software engineering experience (or equivalent), delivering production-quality systems.\nExpert Python skills (clean architecture, testing, packaging, performance and reliability).\nStrong AWS architecture and development experience (security/IAM, networking, serverless and/or containers, monitoring/logging, cost controls).\nStrong data foundations: SQL, data modeling, APIs/integration patterns; comfortable incorporating RAG and text-to-SQL patterns into real solutions.\nDemonstrated rigor in experimentation: hypothesis-driven approach, evaluation plans, metrics, timeboxing, and pragmatic decision-making.\nAbility to communicate clearly to both technical and business stakeholders; proven storytelling and influence through results.\nBachelor’s degree in Computer Science/Engineering (or equivalent practical experience).\nHands-on experience designing and interpreting LLM evaluations (task success, faithfulness, hallucination analysis, cost/latency tradeoffs).\nFamiliarity with modern LLM application stacks across vendors, with an ability to reason about abstraction tradeoffs, portability, and long-term maintainability.\nHands-on experience with agentic systems (tool use, memory strategies, multi-agent orchestration) and reliability/evaluation techniques.\nPreferred Qualifications:\nExperience with Dataiku (DSS), including building and operationalizing analytics/AI workflows; LLMOps experience is a plus.\nExperience building evaluation harnesses (golden sets, regression testing, error analysis) and partnering on risk/safety reviews.\nExposure to OpenAI AgentKit/ChatKit and Apps SDK/MCP is a plus.\nExperience transitioning prototypes into enterprise-ready patterns in partnership with platform and delivery teams.\nHiring Salary Range of: $125,000 - 186,000. Salary and whole compensation package (bonus target) to be determined by the candidate’s location, education, experience, knowledge, skills, and abilities, as well as internal equity and alignment with market data.\n#LI-TA1People First\nEach of us working at Prologis plays an essential role in the enduring success of our company. We value people who are decisive, courageous and adaptable. While we are one company, locations and departments operate with autonomy and accountability. Individuals take the initiative here.\nWhen you join Prologis, you work shoulder to shoulder with some of the top talent in the industry to do the best work of your career. Every employee belongs. Every employee contributes. Employees advance their careers here.\nAs a successful global enterprise, Prologis has never lost sight of what matters most, our strong belief that our people are the most important part of our business. And because of that, we provide a generous total rewards package and take a lot of time to focus on quality management and leadership development. People come first here.\nAll full-time roles in the US come with a robust benefits package which includes healthcare, dental, and vision insurance for employees and eligible dependents. Prologis also offers several other wellness, financial, and work/lifestyle-specificbenefits. Our 401(k) retirement plan has a company match of 50% up to 12% of eligible compensation. We also offer generous PTO with a starting accrual of 22 days a year in addition to paid holidays and volunteer time.\nAll job offers are contingent upon successful completion of background verification. Prologis is an Equal Opportunity/Affirmative Action employer and all qualified applicants will receive consideration for employment without regard to race, color, religions, sex, national origin, sexual orientation, gender identity, disability status, protected veteran status, or any other characteristic protected by law.Employment Type:\nFull timeLocation:\nSan Francisco, CaliforniaAdditional Locations:\nChicago, Illinois, Denver, Colorado, Los Angeles, California, Phoenix, Arizona","description_format":"text","description_chars":6366,"description_truncated":false,"requirements":{"experience_years_min":8,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":{"level":"bachelor","optional":false},"security_clearance":false,"languages":[]},"benefits":["Equity","Retirement plans","Vision insurance"],"hiring_locations":[],"hiring_excludes":[],"relocation_offered":false,"industries":[],"lifecycle":[{"event":"open","at":"2026-10-13T08:14:36Z"}],"visa":[],"liveness":{"score":27,"band":"fade","label":"Fading","p_open":1,"p_active":0.592,"p_room":0.45,"age_days":49,"expected_fill_days":28,"reasons":["conf:15","win:tail"],"computed_at":"2026-10-14T03:53:40Z"},"pay":{"stated_usd_annual":186000,"is_top_pay":false},"html_url":"https://alion.io/job/prologis-senior-ai-applied-engineer","json_url":"https://alion.io/job/prologis-senior-ai-applied-engineer.json","meta":{"generated_at":"2026-10-14T03:53:40Z","cache_seconds":300,"methodology":"https://alion.io/methodology","terms":"https://alion.io/terms","contact":"https://alion.io/contact","api":"https://alion.io/developers","about":"Alion is a live layer of people, companies and AI agents: who they are, whether they are real and active right now, what they do and how to work with them, readable by people and by agents and paid per call.","catalog":"https://alion.io/catalog.json","usage":{"tier":"crawler_verified","counted_by":"address","units_charged":1,"used_today":5957,"day_limit":null,"remaining_today":null,"minute_limit":300,"resets_at":"2026-10-15T00:00:00Z"}},"offers":[{"id":"company.slices","title":"One company in depth, by slice","status":"live","price":{"credits":0.02,"usd":0.002,"plus_per_slice":{"credits":0.05,"usd":0.005}},"unit":"per company, plus each slice with data","note":"the employer in depth","call":{"mcp_tool":"get_company","arguments":{"id":1755030},"rest":"https://alion.io/mcp/rest/get_company?id=1755030"},"human":"https://alion.io/catalog?offer=company.slices&for=job%2Fprologis-senior-ai-applied-engineer"},{"id":"market.stats","title":"A market slice: pay, demand and time to fill","status":"live","price":{"credits":1,"usd":0.1},"unit":"per slice","note":"pay, demand and time to fill for this role and place","call":{"mcp_tool":"market_stats"},"human":"https://alion.io/catalog?offer=market.stats&for=job%2Fprologis-senior-ai-applied-engineer"},{"id":"job.search","title":"Open jobs by role, technology, place, pay and visa","status":"live","price":{"credits":0.02,"usd":0.002},"unit":"per posting in a list","note":"similar open postings","call":{"mcp_tool":"search_jobs"},"human":"https://alion.io/catalog?offer=job.search&for=job%2Fprologis-senior-ai-applied-engineer"},{"id":"company.verify","title":"Is this company real and active right now","status":"pilot","price":null,"unit":"per company","request":{"url":"https://alion.io/catalog/request","method":"POST","body":"{\"offer\": \"company.verify\", \"for\": \"job/prologis-senior-ai-applied-engineer\", \"note\": \"what you need it for\"}"},"human":"https://alion.io/catalog?offer=company.verify&for=job%2Fprologis-senior-ai-applied-engineer"}]}