{"id":71860,"url":"https://alion.io/job/aecom-ai-engineer-2","title":"AI Engineer","company":{"id":3394,"name":"AECOM","domain":"aecom.com","url":"https://alion.io/company/aecom","size_band":"5000+","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"SmartRecruiters","truth_index":{"grade":"B","score":74,"open_postings":763,"ghost_share":0.022,"stale_share":0.966,"repost_share":0.022,"time_to_fill_p50_days":35,"computed_at":"2026-10-20T05:45:00Z"}},"role":"AI/ML","role_family":"AI/ML","seniority":null,"employment_type":"full_time","work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Oslo, Norway"],"countries":["NO"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":null,"experience_years_min":null,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"AI Agents","optional":false},{"name":"CI/CD","optional":false},{"name":"Context Engineering","optional":false},{"name":"LLM","optional":false},{"name":"Prompt Engineering","optional":false},{"name":"Python","optional":false},{"name":"RAG","optional":false},{"name":"Azure","optional":true},{"name":"Grafana","optional":true},{"name":"Machine Learning","optional":true},{"name":"Prometheus","optional":true},{"name":"Terraform","optional":true}],"status":"live","first_seen_at":"2026-08-20T17:44:13Z","employer_posted_date":"2026-08-20","last_verified_at":"2026-10-21T03:42:16Z","board_verified":true,"closed_at":null,"days_open":61,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":61},"description":"Work with Us. Change the World.\nAt AECOM, we're delivering a better world. Whether improving your commute, keeping the lights on, providing access to clean water, or transforming skylines, our work helps people and communities thrive. We are the world's trusted infrastructure consulting firm, partnering with clients to solve the world’s most complex challenges and build legacies for future generations.\nThere has never been a better time to be at AECOM. With accelerating infrastructure investment worldwide, our services are in great demand. We invite you to bring your bold ideas and big dreams and become part of a global team of over 50,000 planners, designers, engineers, scientists, digital innovators, program and construction managers and other professionals delivering projects that create a positive and tangible impact around the world.\nWe're one global team driven by our common purpose to deliver a better world. Join us.\n In AECOM’s AI Engineering team your code will directly shape the physical world around us. We build AI-driven technology that revolutionises how infrastructure and buildings are designed and engineered; reducing waste, cutting CO₂, and making the built environment more efficient and sustainable. This is where software has measurable, real-world impact.\nWith our AI Engineering team we’ve created a unique setup: a lean, highly technical team with the speed and ownership of a start up, backed by the scale, resources, and domain expertise of one of the world’s leading engineering firms.\nThere has never been a better time to be at AECOM. We are leading the industry’s AI transformation, and with our people and technology we deliver excellence and innovate with impact.\nWe invite you to bring your bold ideas and big dreams to solve the world’s most complex challenges. We're one global team driven by our common purpose to deliver a better world. Join us.\nWhat You’ll Do\nAs part of the Assurance & Insight team, you will focus on designing, implementing and deploying LLM based solutions into production.\nUsing various LLM models with latest approaches (agentic, context engineering) to solve challenging problems \nWork end-to-end on ML solutions: from data preparation and evaluation, deployment, and monitoring \nDevelop text representation and semantic extraction pipelines for structured knowledge from unstructured data \nCollaborate with product teams and domain experts to integrate LLM features into our SaaS platform \n Must-Have Qualifications\nMaster’s degree in Computer Science, Data Science, Computational Linguistics, or related field \nHands-on experience with LLM techniques for text representation and semantic data extraction \nKnowledge on best practices and Evaluation techniques \nProven experience working end-to-end on Software solutions and CI/CD Pipelines \nProficiency in Python and pydantic validation \nExperience building RAG systems, Prompt engineering, Data processing \nPreferred Skills\nUnderstanding of optimizing both CPU-bound and GPU-bound workloads. \nKnowledge of monitoring and observability tools (e.g. Prometheus, Grafana, Elastic stack). \nExperience with Infrastructure as Code (Terraform). \nExperience with Azure \nExperience with Machine Learning \nExperience in building product for the construction industry. \n Our Hiring Process\n25-minute screening call \nTake-home challenge: A hands-on task to assess your problem-solving and technical skills \nCombined technical and cultural interview (in-person) Whiteboard Interview: 1-hour with 2 of our engineers to discuss your solution to the take-home challenge (60 min) \nCulture fit: In-person meeting with our leadership team (30 min) \n\nWhy Join Us?\nWork on real-world problems where AI creates measurable impact. \nBe part of a team where your work matters, and your ideas become real. \nCollaborate with sharp, driven colleagues in a 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