Lead the vision and execution of low-code agent building across autonomous and conversational agents on UiPath’s platform.
Responsibilities
Set the multi-year vision for low-code agent building on UiPath, across autonomous and conversational agents, in Agent Builder and across our Maestro canvases.
Own Agent Builder end to end, defining how builders set an agent’s goal, instructions, tools, context, and outputs, and how they test, debug, and publish it.
Shape Autopilot’s agent-building experience, including how it reasons about a process and hands work back to the builder for review.
Lead Agent Reviewer, partnering with governance, evals, and ML teams to score agents and suggest fixes.
Designs, develops, and troubleshoots moderately complex software and applications in support of establishing a sustainable institutional technological infrastructure. The role acts as both consultant and builder, clarifying operational needs and delivering practical software, integrations, and automations.
Locations (2)
Tempe, Arizona, United States
Mesa, Arizona, United States
Compensation
$78,000 - $97,450 per year, DOE
Responsibilities
Partner with administrative and operational stakeholders to clarify requirements, resolve missing or conflicting information, and define feasible technical solutions and acceptance criteria aligned with FSE and ETS priorities.
Independently select and implement technical approaches, evaluating integration dependencies, security, reliability, and maintainability.
Own delivery from requirements through testing, deployment, and verified operation within agreed timelines.
Serve as a liaison between business stakeholders and technical teams, explaining technical options and tradeoffs and guiding implementation decisions.
The Strategy & Business Analytics Lead builds and runs the analytic tools leadership uses to manage the business. The role connects data from business development, programs, product, engineering, and finance into integrated dashboards and analyses.
Compensation
compensation for this position includes a target base salary of $130,000 - $165,000 annually
Responsibilities
Build and maintain dashboards, reports, and analytic tools using Power BI, CRM, customer data models, and financial forecasts
Connect data across CRM, contracts, finance, and program systems into consistent, reliable views to create a single source of truth
Automate recurring reporting and data workflows using low-code and AI-assisted tools
Maintain data quality and proper handling of sensitive and controlled information
Translate open-ended leadership questions into structured analyses and clear recommendations
Technical depth behind complex AI deployments, shaping how enterprise customers move from an ambition for AI to an architecture that runs their business.
Compensation
The estimated annual base salary range for this role is $125,000-$160,000.
Responsibilities
Lead technical discovery for the Deployment Strategists scoping new work and for Account Owners qualifying opportunities inside existing accounts, surfacing AI, integration, and data requirements before scope and price are committed.
Design advanced AI architecture on the monday AI work platform, spanning the agents, context, and data layers that intelligent workflows run on in an enterprise environment.
Architect the technical scope that exceeds native platform capabilities, spanning integrations, data mobility and migrations, custom applications, and the interfaces between them.
Estimate the effort and the consumption impact of the technical work you scope.
Partner with the Account Owner and the Deployment Strategist to sell forward-deployed engineering services, establishing credibility with enterprise architects, security reviewers, and the executives funding the work.
Provide white-glove, deeply technical, and highly strategic support to Aircall's most valuable strategic and enterprise customers, driving value from day one.
Responsibilities
Own onboarding for large, high-complexity customers
Act as the day-to-day technical counterpart to Key Account Managers
Run quarterly and mid-cycle technical reviews for strategic accounts
Deploy and optimize advanced AI add-ons
Serve as the technical architect and owner for advanced configurations
Requirements
Nice to have: 8+ years of experience in Customer Engineering, Solutions Engineering, Technical Consulting, or Technical Account Management in SaaS
Nice to have: Strong background in complex implementations
Nice to have: Hands-on experience with APIs, integration design, low-code platforms
Nice to have: Prior hands-on experience designing, implementing, or supporting agentic AI workflows
Nice to have: Proven success supporting strategic accounts, renewals, and expansions
Analyze Finance processes to identify manual effort, rework, or bottlenecks suitable for AI or automation support.
Design and build scoped solutions (Microsoft Copilot-assisted workflows, low-code automations, analytics templates) under the guidance of assigned business and AI/automation mentors.
Document processes and solutions with clear inputs, outputs, validation steps, and ownership so they are auditable and sustainable.
Measure impact: time savings, quality improvements, throughput, and adoption.
Partner with Finance teammates to gather requirements, test solutions, and incorporate feedback.
Configure and support packaged or SaaS applications to adapt features, manage releases, and ensure system stability. Use standard tools, APIs, and low-code platforms to align solutions with business needs while preserving compatibility and performance.
Responsibilities
Expected to be an SME, collaborate and manage the team to perform.
Responsible for team decisions.
Engage with multiple teams and contribute on key decisions.
Provide solutions to problems for their immediate team and across multiple teams.
Lead efforts to identify and implement process improvements within the team to enhance efficiency and quality.
Drive the delivery of GCO's AI portfolio, translating innovative ideas into scalable, compliant solutions to improve clinical operations and accelerate the AI-enabled organization transformation.
Compensation
€63,800.00 - €118,400.00
Responsibilities
Oversee planning, execution, delivery, and reporting across the Global Clinical Operations AI portfolio.
Monitor portfolio progress, dependencies, risks, and milestones to support effective decision-making.
Deliver portfolio reporting and insights using standardized key performance indicators and metrics.
Partner with Product Owners and Platform Leads to maintain an integrated AI roadmap and solution landscape.
Coordinate governance activities including intake, prioritization, risk assessment, compliance alignment, and approvals.
Requirements
Bachelor's degree in Computer Science
Engineering
Life Sciences
Postgraduate qualification in a relevant discipline
Senior IT System Owner for GxP and business-critical applications supporting R&D, Technical Operations, Clinical Science and Operations, Data Sciences and Biostatistics, Quality Assurance, Quality Control, Regulatory Affairs, Pharmacovigilance, Program Management, Facilities, and Medical Affairs.
Compensation
Base salary compensation range: $135,000 - $150,000
Responsibilities
Serve as the IT System Owner for an assigned group of GxP and business-critical applications
Partner with Business Process Owners to understand intended use, business processes, operational priorities, and user needs
Partner with Quality Assurance and IT Computer System Validation to determine GxP applicability, system risk, validation strategy, required controls, testing approach, and lifecycle documentation
Lead complex system implementations, upgrades, integrations, migrations, remediation activities, and technology-enabled process improvements
Administer or oversee application configuration, user accounts, security roles, interfaces, reports, scheduled processes, reference data, and other technical components
Requirements
Bachelor’s degree in Computer Science, Information Systems, Software Engineering, or a related technical discipline
Nice to have: Advanced degree or relevant professional certification
Configure and support packaged or SaaS applications to adapt features, manage releases, and ensure system stability using standard tools, APIs, and low-code platforms.
Locations (2)
Pune
Bengaluru, Karnataka, India
Responsibilities
Expected to perform independently and become an subject matter expert.
Required active participation/contribution in team discussions.
Contribute in providing solutions to work related problems.
Collaborate with cross-functional teams to gather requirements and translate them into application configurations.
Monitor system performance and troubleshoot issues to maintain optimal functionality.
Consult with departments and functional teams to identify opportunities for process improvement and efficiency gains, guiding them toward sustainable, technology-enabled solutions.
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