{"id":2895493,"url":"https://alion.io/job/downer-group-aiml-engineer-2","title":"AI/ML Engineer","company":{"id":2169700,"name":"Downer Group","domain":"downergroup.co.nz","url":"https://alion.io/company/downergroup","size_band":"5000+","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Oracle","truth_index":{"grade":"A","score":89,"open_postings":14,"ghost_share":0,"stale_share":0.429,"repost_share":0,"time_to_fill_p50_days":30,"computed_at":"2026-11-08T05:47:12Z"}},"role":"AI/ML","role_family":"AI/ML","seniority":"senior","employment_type":null,"work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Melbourne, Australia"],"countries":["AU"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":91000,"max_usd":234000,"period":"year","method":"global_role_cell_scaled_by_country","sample_n":2102},"experience_years_min":5,"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":"AWS Bedrock","optional":false},{"name":"AWS Strands Agents","optional":false},{"name":"Azure","optional":false},{"name":"C#","optional":false},{"name":"CI/CD","optional":false},{"name":"Claude Code","optional":false},{"name":"Copilot","optional":false},{"name":"Copilot Studio","optional":false},{"name":"CrewAI","optional":false},{"name":"Cursor","optional":false},{"name":"Databricks","optional":false},{"name":"Explainable AI","optional":false},{"name":"FinOps","optional":false},{"name":"Git","optional":false},{"name":"GitHub","optional":false},{"name":"Hallucination","optional":false},{"name":"Human-in-the-Loop","optional":false},{"name":"Knowledge Graph","optional":false},{"name":"Machine Learning","optional":false},{"name":"MLFlow","optional":false},{"name":"Model Context Protocol","optional":false},{"name":"OpenAI Codex","optional":false},{"name":"Platform Engineering","optional":false},{"name":"Python","optional":false},{"name":"RAG","optional":false},{"name":"SQL","optional":false}],"status":"live","first_seen_at":"2026-10-20T01:18:25Z","employer_posted_date":"2026-10-20","last_verified_at":"2026-11-08T18:20:15Z","board_verified":true,"closed_at":null,"days_open":20,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":20},"description":"We are seeking 6 talented and forward-thinking AI/ML Engineers to design, build, and scale enterprise-grade artificial intelligence and machine learning solutions. You will be responsible for taking models from initial prototype to robust, production-level deployment and integrating these solutions within Downer’s broader technology landscape.\nThis role is suited to collaborative, quality-focused engineers who enjoy building, testing and improving production-ready AI solutions with an agentic first mindset. You will work across enterprise scale AI platforms including Azure Databricks and MS Foundry and be well versed in engineering tools such as Claude Code, Codex, Cursor and/or Github Copilot.\nYou’ll be working within product delivery teams and will collaborate with architecture, cyber security, data governance and platform engineering teams as well as being a key influencer with business stakeholders.\nThis position is Australia-based, with Sydney, Melbourne or Brisbane preferred and may require occasional travel to various Downer sites.\nAbout the Role\nIn this role, you will:\nDesign, build, test and deploy enterprise grade AI solutions and agentic workflows across MS Azure and Databricks ecosystems.\nUsing manual and spec-driven techniques, develop clean, testable and well-documented Python, C# and SQL code that meets engineering standards and supports long-term supportability.\nDevelop integrated PDLC and DDLC agent workflows which delivery software applications, data pipelines and products.\nBuild AI solutions using frontier and open weight models using RAG, VectorDBs, Knowledge Graphs and MCP servers.\nUse Azure AI Foundry, Databricks Mosaic AI and approved AI engineering tools to support solution development and delivery.\nContribute across the delivery lifecycle, including problem framing, data exploration, prototyping, feature engineering, model evaluation, deployment, monitoring and support.\nDesign and maintain MLOps pipelines, including CI/CD for machine learning, automated model training, evaluation gates, deployment and monitoring.\nManage experiment tracking, model versioning and reproducibility through the Databricks MLflow model registry.\nImplement solution performance monitoring with evaluation agents for drift detection, hallucination, and model performance degradation.\nApply spec-driven development, DevOps, secure-by-design, responsible AI and human-in-the-loop review practices.\nContribute to engineering standards, code reviews, prompt reviews, technical design sessions and agile delivery ceremonies.\nProduce and maintain technical documentation, including architecture decision records, runbooks, model cards, data lineage records and pipeline documentation.\nSupport and mentor junior engineers through knowledge sharing, pairing and agent-assisted delivery walkthroughs.\nWork with architecture, governance and cyber security teams to ensure solutions meet Downer’s enterprise, security and responsible AI standards.\nContribute to cost optimisation and FinOps practices across Azure Databricks and Azure AI Foundry.\nThis is an opportunity to contribute to Downer’s uplift in AI-native delivery while developing your technical depth across modern AI/ML engineering, agentic workflows and governed enterprise AI.\nOur Ideal Candidate\nYou are a hands-on engineer who enjoys transforming complex problems into practical, reliable and maintainable solutions.\nYou are curious about emerging AI engineering tools, a coder at heart but take pragmatic and responsible approaches to using AI tooling to accelerate development in enterprise environments. You are comfortable collaborating with product, architecture, security, governance and business stakeholders, and can explain technical concepts, limitations and trade-offs clearly to both technical and non-technical audiences.\nWhat You Will Bring\nA tertiary qualification in Computer Science, Computer Engineering, Software Engineering, Information Technology, Data Science, Mathematics, Statistics, quantitative analysis or a related discipline.\nRelevant industry certifications in Azure AI, Databricks, GitHub, software engineering, DevOps, security or cloud data platforms will be highly regarded. \nAt least five years’ total experience across software and/or data engineering or related technical field.\nAt least two years relevant hands-on experience developing advanced analytics, machine learning or generative AI solutions for production environments.\nPractical experience with Azure and Databricks ecosystems, including exposure to Azure AI Foundry, Databricks Mosaic and Genie Code.\nFamiliarity with model hosting in platforms such as Azure AI Foundry, Databricks Mosaic AI and AWS Bedrock is highly regarded.\nExperience with AI engineering tools such as Claude Code, Codex, Cursor, GitHub Copilot and Copilot Studio is highly regarded.\n\nExperience in DevOps engineering, CI/CD, secure-by-design principles and FinOps controls recognising the importance of balancing token-economics with performance.\n\nFamiliarity with orchestration frameworks such as CrewAI, Strands Agents and Microsoft Agent Framework is valued, as is familiarity with spec-driven development, agentic product delivery lifecycle practices and agentic business workflows.\nStrong hands-on capability in Python, C#, SQL, Git-based version control, automated testing, code review and production-quality engineering practices.\nPractical understanding of platform controls implemented through Unity Catalog, Microsoft Purview and Agent 365 as part of an enterprise Data & AI governance ecosystem.\n\nYou are known for your curiosity, sound technical judgement and commitment to producing secure, reliable and explainable AI solutions that deliver meaningful business outcomes.\nBenefits Of Working with Downer\nWork with an ASX-listed company, working with market leaders.\nGrow your career with us through personal and professional development and continuous learning: Professional development programs\nAccess to professional memberships and industry networks\n\nBe part of a team that cares, with support that is flexible around employee wellbeing needs: Flexible work arrangements\nParental leave\nEmployee Assistance Program\nPrograms promoting diversity and inclusion\n\nA range of corporate benefits, including: Discounted services (car hire, hotels, insurance, retail stores, gyms)\n\nWhy Downer?\nAs a trusted name in infrastructure, transport, facilities management, and construction, Downer is committed to delivering projects that create a lasting, positive legacy.\nWe're committed to building a team that reflects the diverse communities we serve, and we welcome people of all ages, genders, sexual orientations, cultures, abilities, and lived experiences. We especially encourage applications from those whose voices have traditionally been underrepresented in our industry, including women, Aboriginal and Torres Strait Islander Peoples, Māori and Pasifika Peoples, veterans, people with disability, and neurodivergent individuals.\nEven if your experience doesn't align perfectly with this role, we'd still like to hear from you. If it feels like the right fit, apply - potential counts, and so do you.\nAs a WORK180 Endorsed Employer, we support flexibility that works for your life, inclusive leadership that values your voice, and equitable access to opportunity so you can do your best work and bring your whole self to it.","description_format":"text","description_chars":7400,"description_truncated":false,"requirements":{"experience_years_min":5,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":{"level":"master","optional":false},"security_clearance":false,"languages":[]},"benefits":["Continuous learning","Flexible schedule","Parental leave","Professional development"],"hiring_locations":[],"hiring_excludes":[],"relocation_offered":false,"industries":["Public Transport","Construction"],"lifecycle":[{"event":"open","at":"2026-10-20T04:31:42Z"},{"event":"open","at":"2026-11-05T21:07:15Z"}],"visa":[],"liveness":{"score":79,"band":"hot","label":"Hiring now","p_open":1,"p_active":0.879,"p_room":0.9,"age_days":19,"expected_fill_days":30,"reasons":["conf:0","velocity","win:mid","comp:brand"],"computed_at":"2026-11-08T05:47:12Z"},"pay":null,"html_url":"https://alion.io/job/downer-group-aiml-engineer-2","json_url":"https://alion.io/job/downer-group-aiml-engineer-2.json","meta":{"generated_at":"2026-11-09T04:22:57Z","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":3587,"day_limit":null,"remaining_today":null,"minute_limit":300,"resets_at":"2026-11-10T00:00:00Z"}},"offers":[{"id":"company.slices","title":"One company in depth, by slice","status":"live","price":{"credits":0.1,"usd":0.01,"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":2169700},"rest":"https://alion.io/mcp/rest/get_company?id=2169700"},"human":"https://alion.io/catalog?offer=company.slices&for=job%2Fdowner-group-aiml-engineer-2"},{"id":"market.stats","title":"A market slice: pay, demand and time to fill","status":"live","price":{"credits":2,"usd":0.2},"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%2Fdowner-group-aiml-engineer-2"},{"id":"job.search","title":"Open jobs by role, technology, place, pay and visa","status":"live","price":{"credits":0.1,"usd":0.01},"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%2Fdowner-group-aiml-engineer-2"},{"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/downer-group-aiml-engineer-2\", \"note\": \"what you need it for\"}"},"human":"https://alion.io/catalog?offer=company.verify&for=job%2Fdowner-group-aiml-engineer-2"}],"agent":{"mcp":"https://alion.io/mcp/jobs","mcp_open":"https://alion.io/mcp/open","next":[{"tool":"get_job","arguments":{"id":2895493}},{"tool":"search_jobs","arguments":{"company":"downergroup.co.nz","detail":"compact"}},{"tool":"match_people","arguments":{"job_id":2895493},"note":"people open to offers who fit this vacancy"}],"note":"The same data through MCP tools: https://alion.io/mcp/open needs no sign-in (compact searches, postings, people); https://alion.io/mcp with an Alion account has everything. Docs: https://alion.io/developers"}}