Staff AI Deployment Engineer, Singapore

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.The Opportunity at AltanaThe 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. We 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. You WillDesign and deploy agentic AI systems Design, 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 Ground 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 Write and refine the prompts, system instructions, and evaluation criteria that make an agent reliable enough to trust in production Build the orchestration and human-in-the-loop checkpoints that keep agentic workflows safe, auditable, and correctable in a customer's environment Monitor, evaluate, and iterate on deployed processes tracking accuracy, cost, and latency, and tuning them as the customer's data and needs evolve Own technology implementation and delivery Lead customer implementations end to end: scoping, configuration, integration, validation, go-live, and handoff to steady-state support Configure 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 Build the connective tissue API integrations, data handoffs, automations, and internal tooling that makes an implementation work, using AI-assisted development to move quickly Drive 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 Engage customers as a trusted technical partner Serve as the primary technical point of contact through implementation running working sessions, demos, or technical deep dives with stakeholders from analyst to executive Elicit requirements from customers who often can't fully articulate them yet, and translate business problems into concrete technical scope Communicate 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 Manage expectations, timelines, and scope with the directness that keeps large enterprise programs on track Coordinate across internal teams Orchestrate 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 Escalate and unblock: identify what only another team can solve, make the ask precisely, and follow it to resolution Feed field learning back into the product organization patterns across customers, recurring friction, gaps worth building Build reusable playbooks, templates, and documentation so the next implementation is faster than the last Apply product management judgment Own the implementation roadmap for your accounts: sequence work by customer value and delivery risk, and make explicit calls about what ships now versus later Write clear requirements, specs, and acceptance criteria that engineering and data science can build against Prioritize against custom