{"id":2578933,"url":"https://alion.io/job/altana-staff-ai-deployment-engineer-australia","title":"Staff AI Deployment Engineer, Australia","company":{"id":63422,"name":"Altana","domain":"altana.ai","url":"https://alion.io/company/altana","size_band":"201-500","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Greenhouse","truth_index":{"grade":"A","score":95,"open_postings":4,"ghost_share":0,"stale_share":0,"repost_share":0,"time_to_fill_p50_days":86,"computed_at":"2026-10-25T05:49:26Z"}},"role":"AI/ML","role_family":"AI/ML","seniority":"staff","employment_type":null,"work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"explicit","locations":["Australia"],"countries":["AU"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":138000,"max_usd":314000,"period":"year","method":"global_role_cell_scaled_by_country","sample_n":1192},"experience_years_min":null,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Agentic Workflows","optional":false},{"name":"AI Agents","optional":false},{"name":"Claude Code","optional":false},{"name":"Copilot","optional":false},{"name":"Cursor","optional":false},{"name":"Function Calling","optional":false},{"name":"Git","optional":false},{"name":"Human-in-the-Loop","optional":false},{"name":"LangChain","optional":false},{"name":"LLM","optional":false},{"name":"LLM Guardrails","optional":false},{"name":"Model Context Protocol","optional":false},{"name":"Multi-Agent Systems","optional":false},{"name":"Prompt Engineering","optional":false},{"name":"Python","optional":false},{"name":"RAG","optional":false},{"name":"Rest API","optional":false},{"name":"SQL","optional":false},{"name":"Swagger","optional":false},{"name":"Amazon Redshift","optional":true},{"name":"AWS","optional":true},{"name":"Azure","optional":true},{"name":"Databricks","optional":true},{"name":"Docker","optional":true},{"name":"ElasticSearch","optional":true},{"name":"Kubernetes","optional":true},{"name":"PostgreSQL","optional":true},{"name":"Spark","optional":true}],"status":"live","first_seen_at":"2026-10-14T23:22:57Z","employer_posted_date":"2026-10-14","last_verified_at":"2026-10-25T05:07:23Z","board_verified":true,"closed_at":null,"days_open":10,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":10},"description":"Altana is the network for trusted trade. Our AI-powered product network empowers governments and businesses to build a more resilient and secure global economy while keeping trade flowing.\nThe Opportunity at Altana\nThe Implementation team is the tip of the spear in getting Altana's platform into production inside our customers' businesses. We own the path from signed contract to realized value: standing up integrations, wiring Altana into the customer's existing business processes, and making sure the insight we deliver actually changes decisions on the customer's side.\nWe are a delivery organization with a technical core. We work directly with customer stakeholders - from trade compliance analysts to enterprise IT - and we work just as closely with Altana's engineering, data science, and product teams to translate what we learn in the field into what gets built next.\nYou Will\nDesign and deploy agentic AI systems\nDesign, build, and deploy agentic AI workflows - multi-step agents, tool and function calling, and automations - that power the customer's business processes and act on real customer data\nGround agents in customer context: connect them to the right data sources, APIs, and systems of record, and define the tools, permissions, and guardrails they operate within\nWrite and refine the prompts, system instructions, and evaluation criteria that make an agent reliable enough to trust in production\nBuild the orchestration and human-in-the-loop checkpoints that keep agentic workflows safe, auditable, and correctable in a customer's environment\nMonitor, evaluate, and iterate on deployed processes - tracking accuracy, cost, and latency, and tuning them as the customer's data and needs evolve\nOwn technology implementation and delivery\nLead customer implementations end to end: scoping, configuration, integration, validation, go-live, and handoff to steady-state support\nConfigure and deploy Altana's platform capabilities against real customer data and real customer workflows, resolving the gap between what the product does today and what this customer needs\nBuild the connective tissue - API integrations, data handoffs, automations, and internal tooling - that makes an implementation work, using AI-assisted development to move quickly\nDrive implementations to a definition of done that includes adoption, not just deployment: the customer's team is using it, in their process, without us in the room\nEngage customers as a trusted technical partner\nServe as the primary technical point of contact through implementation - running working sessions, demos, or technical deep dives with stakeholders from analyst to executive\nElicit requirements from customers who often can't fully articulate them yet, and translate business problems into concrete technical scope\nCommunicate credibly in both directions: explain platform behavior, data quality realities, and trade-offs to non-technical audiences, and represent customer constraints faithfully back to Altana\nManage expectations, timelines, and scope with the directness that keeps large enterprise programs on track\nCoordinate across internal teams\nOrchestrate the internal effort behind each implementation, pulling in engineering, data science, product, and customer success at the right moments and keeping them aligned on a single plan\nEscalate and unblock: identify what only another team can solve, make the ask precisely, and follow it to resolution\nFeed field learning back into the product organization - patterns across customers, recurring friction, gaps worth building\nBuild reusable playbooks, templates, and documentation so the next implementation is faster than the last\nApply product management judgment\nOwn the implementation roadmap for your accounts: sequence work by customer value and delivery risk, and make explicit calls about what ships now versus later\nWrite clear requirements, specs, and acceptance criteria that engineering and data science can build against\nPrioritize against customer value delivery timelines and cooperate with the product team on milestones and deadlines\nDefine what success looks like for each implementation in measurable terms, and track against it\nYou Have\n 8+ years in customer-facing technical delivery - implementation, engineering, professional services, technical program management, or product management with hands-on scope\nA demonstrated track record of shipping complex technical projects with external stakeholders, on a real deadline, with real consequences\nStrong communicator and coordinator: you can run a customer working session in the morning and drive internal alignment across three teams in the afternoon\n Product instincts - you naturally ask what problem this actually solves and what the smallest thing that solves it is\nComfortable with ambiguity and partial information; you make progress before the picture is complete\nBias toward automation and repeatability over heroics; you'd rather fix the process than run it manually again\nTechnical competencies we expect\nWorking proficiency in Python or a comparable language: you can read a codebase, write and debug scripts, build integrations, and ship small features - you don't need to be a systems engineer\nFluency with SQL and comfort exploring and validating data to answer your own questions\nPractical experience with AI-assisted coding tools (Claude Code, Cursor, Copilot, or similar) as a core part of how you work - you use them to move faster on unfamiliar codebases, prototype integrations, and automate the repetitive parts of delivery, and you know how to review what they produce\nHands-on experience building or deploying agentic AI systems - LLM-powered agents, tool and function calling, retrieval-augmented generation, or multi-agent orchestration\nSkill in prompt engineering and agent evaluation: you can design prompts and evals, diagnose why an agent fails, and iterate toward reliable production behavior\nFamiliarity with agent frameworks and protocols (e.g., MCP, LangChain, or similar) and with wiring agents to external tools, APIs, and data sources\nFamiliarity with APIs (REST, Swagger/OpenAPI), Git-based workflows, and cloud-hosted systems\nEnough understanding of data pipelines, data modeling, and ML systems to scope work, diagnose issues, and hold a credible conversation with the engineers who build them\nNice to Have\nExperience with global trade, supply chain, customs, or trade compliance\nBackground in enterprise software implementation at scale (multi-stakeholder, multi-quarter programs)\nExposure to Spark, Databricks, or large-scale data processing\nExperience building internal tooling or automation that a team adopted\nFormal product management experience - roadmaps, specs, stakeholder prioritization\nTechnologies in Our Environment\nLanguages: Python, SQL, Spark\nAI tooling: Claude Code and other AI-assisted development tools, used daily\nAgentic AI: LLM agents, tool and function calling, MCP, retrieval-augmented generation, and agent orchestration frameworks\nPlatform & infrastructure: Docker, Git, Kubernetes, Swagger/OpenAPI, AWS, Azure\nDatastores: Databricks, Elasticsearch, Postgres, Redshift\n\nThis role is based in Australia, with flexibility to travel onsite to Canberra hub location\nOur Values\nOur values are the core beliefs that shape who we are, what we stand for, and how we behave.They form the foundation of Altana’s culture and integrity and guide how we hire, design, build, and connect with each other and our customers.\nTrust: Our customers and partners entrust us with missions of the highest importance. We honor that by keeping our word, meeting commitments, and ensuring every action we take reinforces confidence in us. We rely on each other to deliver, to speak openly, and to hold ourselves accountable.\nResilience: In a world of uncertainty and complexity, our work must withstand challenges, evolve with conditions, and ensure reliability over time. Resilience is both how we operate and what we deliver. It’s how we respond when things don’t go to plan -- we adapt, we support each other, and we keep moving forward.\nStewardship: We are stewards of every mission we touch. Because our work impacts lives and futures, we hold ourselves accountable to delivering mission impact and never compromising. Our responsibility extends beyond individual projects to the broader system of global trade. We believe that stewardship starts from within so that we can bring focus, creativity, and excellence to our work. Each of us is personally responsible for fostering a workplace where people can thrive. And we are stewards of the greater good of the company. By holding ourselves and each other accountable, we build a culture of innovation and collective success that reflects the scale of our mission.\n Courage: Courage is what unlocks the seemingly impossible for our customers. It’s the core value that drives us make bold moves and take on big, complicated network problems-the ones others avoid. We know success isn't guaranteed, but we have the audacious vision to believe a solution is possible and to build it. Courage fuels our growth mindset. It means embracing challenges that make us stronger, and it’s demonstrated by how we approach hard conversations and complex projects.\nAt Altana, we believe that a diverse workforce enables greater creativity, performance, and adaptability. We’re proud to be an equal opportunity employer and welcome you to join us as you are. Our employment opportunities and decisions are based on business needs and individual qualifications, without regard to race, color, religious creed, national origin, ancestry, age, physical or mental disability, medical condition, marital status, sexual orientation, gender identity or expression, genetic information, family care or medical leave status, military or veteran status, or any other characteristic protected by the laws or regulations in the areas in which we operate. We prohibit discrimination and harassment of any type, in any situation.\nOffers related to employment at Altana will come from an Altana.ai email address. 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