Product manager who prototypes AI solutions and translates complex asset management challenges into scalable, reusable products, focusing on Maintenance Schedule Optimization.
Responsibilities
Define the vision, scope, and priorities for Maintenance Schedule Optimization templates combining agentic AI, intelligent automation, and advanced optimization.
Build prototypes using generative AI and low-code tools to validate maintenance schedule concepts, planning scenarios, and agentic workflows with customers early.
Identify recurring customer challenges and translate them into business workflows, decision criteria, and enterprise data requirements.
Set measurable success criteria with customers — such as planning effort, schedule adherence, or asset availability — and use feedback and usage data to improve reusability.
Partner with product, platform, AI, and delivery teams to turn emerging AI capabilities into enterprise-ready templates and reusables.
Requirements
Nice to have: asset management
Nice to have: asset-intensive industries experience
Own end-to-end technical relationships with enterprise customers, design and deliver AI solutions on the Moveworks Platform, and act as a trusted advisor while driving adoption and measurable outcomes.
Responsibilities
Own the end-to-end technical relationship with enterprise customers
Design and build secure, performant integrations between the Moveworks Platform and customer enterprise systems
Serve as a trusted technical advisor to help customers develop their Agentic AI roadmap
Synthesize customer feedback and technical gaps to influence platform evolution
Generalize successful customer solutions into reusable templates
Lead AI product development and ownership within the Global Private Bank’s AI & Innovation team, designing prototypes, evaluating solutions, and driving Labs-to-Products transition.
Compensation
We offer a competitive total rewards package including base salary determined based on the role, experience, skill set and location. Those in eligible roles may receive commission-based pay and/or discretionary incentive compensation, paid in the form of cash and/or forfeitable equity, awarded in recognition of individual achievements and contributions.
Responsibilities
Design, code, and build AI prototypes hands‑on from end to end
Partner with advisors and business teams to identify high‑value problems and translate them into technical solutions
Own the product vision, priorities, and deliverables for AI innovation initiatives
Define and run evaluations that measure solution accuracy, reliability, risk, user experience, and business value
Work with Technology, Architecture, Data, Cybersecurity, and Controls to address security, privacy, data quality, auditability, and regulatory requirements
Build and integrate AI agents and automation solutions across Microsoft 365 and other enterprise systems, ensuring secure, reliable, and scalable deployments.
Compensation
Je kan rekenen op een motiverend salaris, aangevuld met extralegale voordelen, inclusief bedrijfswagen (of alternatieve vergoeding).
Responsibilities
Develop AI agents and automation workflows
Integrate AI solutions with Microsoft 365, Dataverse, and other business systems
Design and implement API connectors and integrations
Ensure security, governance, and lifecycle management of AI solutions
Collaborate with data, AI, IT, and business teams
Requirements
Bachelor's or Master's in IT, Computer Science, Software Engineering, or related field
This role focuses on designing and building agentic systems that power creative workflows for short-form video, building agents that can take creative actions on a user's behalf.
Responsibilities
Build and ship end-to-end agentic systems that meaningfully improve creative workflows, balancing quality, performance, and reliability
Design agent architectures — how agents gather context, plan, select tools, and execute creative tasks reliably at scale
Integrate state-of-the-art models, combining internal research and external capabilities to power new agent experiences
Measure and improve agent quality in production, using experimentation, evaluation frameworks, and real-world feedback to guide iteration
Lead AI Engineer responsible for designing, building, and shipping generative AI systems and agentic solutions for Bain’s clients.
Responsibilities
Contribute to the design, development, and deployment of end-to-end generative AI systems, including multi-agent workflows and production-grade AI applications.
Build and iterate on multi-component AI pipelines such as Retrieval-Augmented Generation, fine-tuning, embedding generation, hybrid retrieval strategies, reasoning, tool use, and orchestration across AI workflows.
Build and contribute to agentic systems, applying sound engineering principles around separation of concerns, memory architecture, and tool integration.
Contribute across the full stack: model experimentation, evaluation design, and production system deployment.
Build and maintain APIs, microservices, CI/CD pipelines, and cloud-native deployments with attention to observability and reliability.
Requirements
Nice to have: French language proficiency at C1 level or higher
Nice to have: experience mentoring peers
Nice to have: experience with ReAct, RLAIF, and other HITL + feedback loops
Nice to have: experience with hybrid or graph-based retrieval approaches
We are seeking a Senior Staff Software Engineer to advance the architectural evolution and technical direction of our platform. In this role, you will tackle high-ambiguity technical challenges, set the engineering vision, and pioneer AI-first development workflows to accelerate feature delivery and elevate software quality.
Compensation
$126,000.00 - $204,500.00/yr
Responsibilities
Drive End-to-End Feature Delivery: Take complete ownership of complex, end-to-end feature delivery by breaking down work, managing commitments, and systematically reducing cycle time and rework.
Lead AI-First Engineering Practices: Apply high AI tool fluency and prompt/context engineering to design AI-assisted workflows across the agentic SDLC. Rigorously evaluate AI-generated code to prevent hallucinations, security gaps, and logic defects.
Architect for Scale & Extensibility: Design clear system interfaces and extensible logic that minimize maintainer toil, gracefully handling performance, reliability, and scale trade-offs.
Practice Defensive & Secure Engineering: Enforce defensive coding practices across edge conditions, limits, and complex authorization paths to reduce defect escape rates.
Simplify Workflows & Enhance User Experience: Partner with PM and Design to translate product requirements into intuitive code, using prototypes and telemetry to simplify complex user flows and reduce friction.
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