{"id":3266367,"url":"https://alion.io/job/cloudera-forward-deployed-ai-engineer-australia-seniorprincipal-level-2","title":"Forward Deployed AI Engineer, Australia (Senior/Principal Level)","company":{"id":58503,"name":"Cloudera","domain":"cloudera.com","url":"https://alion.io/company/cloudera","size_band":"1001-5000","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Workday","truth_index":{"grade":"A","score":92,"open_postings":14,"ghost_share":0,"stale_share":0.286,"repost_share":0.071,"time_to_fill_p50_days":25,"computed_at":"2026-11-03T05:54:40Z"}},"role":"AI/ML","role_family":"AI/ML","seniority":"lead","employment_type":"full_time","work_mode":"hybrid","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"explicit","locations":["Sydney, Australia","Melbourne, Australia"],"countries":["AU"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":118000,"max_usd":294000,"period":"year","method":"global_role_cell_scaled_by_country","sample_n":1286},"experience_years_min":7,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Agentic Workflows","optional":false},{"name":"AI Agents","optional":false},{"name":"Apache NiFi","optional":false},{"name":"AWS","optional":false},{"name":"Azure","optional":false},{"name":"Context Engineering","optional":false},{"name":"Fine-tuning","optional":false},{"name":"GCP","optional":false},{"name":"LLMOps","optional":false},{"name":"RAG","optional":false},{"name":"Semantic Search","optional":false}],"status":"live","first_seen_at":"2026-10-26T09:29:16Z","employer_posted_date":"2026-10-26","last_verified_at":"2026-11-03T19:17:40Z","board_verified":true,"closed_at":null,"days_open":8,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":8},"description":"Business Area:\nCorp. StrategySeniority Level:\nMid-Senior levelJob Description:\nAt Cloudera, we empower people to transform complex data into clear and actionable insights. With as much data under management as the hyperscalers, we're the preferred data partner for the top companies in almost every industry. Powered by the relentless innovation of the open source community, Cloudera advances digital transformation for the world’s largest enterprises.\nAbout Forward Deployed Engineering (FDE) at Cloudera\nCloudera’s Forward Deployed Engineering (FDE) function sits within the Applied AI organization, and is a specialized AI/ML engineering team focused on accelerating AI adoption within our most strategic enterprise customers. We embed directly with customers to rapidly pilot AI use cases, solve real-world business challenges, and help operationalize advanced AI capabilities within enterprise environments.\nCloudera FDEs operate at the intersection of customer engineering, AI innovation, and enterprise deployment - driving high-impact AI outcomes for customers and codifying solution patterns for repeatable delivery at scale.\nAbout the role\nCloudera is looking for a seasoned full-stack ML engineer who can embed with customers to design technical use cases, and ship scalable enterprise AI/ML solutions on Cloudera.\nAs a Forward Deployed AI Engineer, you will:\nBuild & Prototype AI Apps - Develop full-stack AI/ML applications on Cloudera to demonstrate how AI and agentic systems solve real enterprise use cases\n\nPartner with Strategic Customers - Work directly with customer teams to drive AI and agentic use cases from early prototype toward production readiness\n\nShape Enterprise AI Architecture - Advise customer leaders on AI roadmaps, solution design, deployment, and AI use cases\n\nCodify Solution Patterns - Standardize successful patterns into repeatable reference architectures, productized solutions, starter kits, and internal playbooks\n\nMultiply impact - Be a thought leader, mentor Cloudera teams, and contribute to resources that grow our AI capability. Channel field and customer signal back to Product teams to improve our AI platform and products\n\nWe are excited if you have:\n7+ years of experience building and deploying production-grade systems, including 2-4 years experience building ML systems or GenAI/agentic applications\n\nStrong hands-on software engineering, data engineering, and applied AI/ML skills, with experience building full-stack ML applications or agentic systems using modern AI frameworks and tooling\n\nExperience with foundation models, context engineering, fine-tuning, semantic search, Retrieval-Augmented Generation (RAG), and agentic workflows\n\nDeep understanding of LLMOps/MLOps practices including evaluation, observability, serving, monitoring, and lifecycle management\n\nExperience designing and implementing scalable AI solution architectures aligned to enterprise standards (security, governance, compliance, etc.)\n\nThe ability to engage directly with customers, both technical and executive audiences - to translate needs into actionable technical strategy\n\nHigh agency with the ability to operate autonomously and thrive in ambiguous, fast-moving customer environments\n\nA collaborative mindset and passion for enabling others through mentorship, internal enablement, or reusable tooling\n\nYou may also have:\nExperience with cloud technologies (AWS, Azure, GCP)\n\nExperience using the Cloudera platform\n\nExperience with open source big data technologies like Spark, Iceberg, NiFi, etc\n\nExperience with AI infrastructure and runtime technologies including NVIDIA GPUs, inference optimization, model serving, or distributed AI workloads\n\nWhat you can expect from us:\nGenerous PTO Policy\n\nSupport work life balance with Unplugged Days\n\nFlexible WFH Policy\n\nMental & Physical Wellness programs\n\nPhone and Internet Reimbursement program\n\nAccess to Continued Career Development\n\nComprehensive Benefits and Competitive Packages\n\nPaid Volunteer Time\n\nEmployee Resource 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