Lead and maintain complex UiPath automation solutions for large client accounts, ensuring high quality, scalability, and performance while providing support and continuous improvement.
Responsibilities
Ensure prompt ticket follow‑up and resolution of L2 issues within defined SLAs
Perform root cause analysis for production incidents and implement preventive measures
Monitor bot performance and proactively identify issues or improvement opportunities
Handle change requests, enhancements, and bug fixes for existing automations
Collaborate with L1 support and development teams to address complex technical challenges
Lead the design, governance, and adoption of AI-powered business solutions across the enterprise, defining architecture standards, guiding AI platform strategy, mentoring global engineering teams, and enabling scalable AI, automation, and agent-based solutions.
Responsibilities
Define and govern enterprise AI, automation, analytics, and agent-based architectures aligned with business transformation goals.
Design and deliver intelligent workflows that integrate AI agents, automation platforms, and enterprise data systems.
Evaluate and guide adoption of AI technologies including Copilot Studio, Copilot Agents, Claude, UiPath AI, Snowflake Cortex, and related platforms.
Establish reusable frameworks, governance standards, and guidelines for AI development, citizen developers, and the CBO Agent Marketplace.
Mentor global engineering teams and partner with IT, Security, Enterprise Architecture, and Data teams to deliver secure, scalable AI solutions.
Requirements
Bachelor's degree in Computer Science, Information Systems, Engineering, or a related technical field
Nice to have: Master's degree or equivalent experience in Computer Science, Artificial Intelligence, Data Science, Information Systems
Nice to have: Hands-on experience with automation platforms such as UiPath
Nice to have: Experience with AI platforms and technologies including Copilot Studio, AI agents, Snowflake Cortex
A hunter-style sales role focused on opening Fortune 500 doors for an AI-first IT services firm, specializing in modernization, data platforms, and managed services.
Compensation
$200,000–$250,000 base salary. Performance-based bonus on every deal
Responsibilities
Hunt & Open Accounts within Fortune 500 target accounts
Build relationships with CIOs, CTOs, CDOs, and business-line executives
Map each account’s org chart, priorities, and spend, then build a plan to get in and grow
Create pipeline through outbound outreach, network, partner co-selling (cloud, ServiceNow, Salesforce), and executive events
Position modernization, data and AI, digital engineering, and managed services offerings against real business problems
Requirements
Bachelor’s degree or equivalent professional experience
Nice to have: Established relationships in Fortune 500 accounts
Lead Developer within the Transformation Office's R&D team will provide technical leadership for AI-enabled solutions supporting a strategic Fund Services transformation program using Sigma, the cloud-native analytics and reporting product from Sigma Computing.
Compensation
Salary Range: CAD $108,000 - CAD $140,000
Responsibilities
Assess business processes and identify opportunities for AI-enabled optimization
Design architectures integrating AI capabilities with Sigma-based analytics and reporting solutions
Enable advanced analytics and insights by combining cloud data platforms, AI services, and Sigma
Design and implement solutions using AWS services, UiPath, Databricks, and other cloud platforms
Develop and optimize machine learning models, including LLMs and conversational AI systems
Requirements
Degree in Computer Science, Data Science, Information Technology, Engineering, or a related field; a master's degree is preferred
Lead front‑office and middle‑office transformation initiatives across capital markets and banking, driving process improvement, automation, and AI‑enabled solutions.
Compensation
For applicants located in New York, CrossCountry Consulting is required to include an estimate of the compensation range for this role. The following range takes into account a wide range of factors including but not limited to, skills, experience, education, licenses, certifications, business needs, and internal equity. An estimate of the current range is $107,000 - $236,000 per year + annual bonus + additional benefits.
Responsibilities
Plan and run workstreams across operating model, process, data, and technology; manage scope, milestones, RAID, and cross‑team coordination; conduct scrum for development/defect management
Analyze and improve trade capture, lifecycle, positions/P&L, valuation, confirmation, settlement, collateral, asset servicing, reconciliations, and reporting/data services
Apply working knowledge across OTC derivatives, SFT (repo, securities lending, margin financing) and collateral mechanics
Conduct workshops, produce BRDs/FRDs, process flows (Visio or similar), and report specifications (data fields, sources, formulas/algorithms)
Create system test plans, manage execution using JIRA (or equivalent), coordinate UAT with business users, and ensure functionality meets requirements
Requirements
Bachelor’s degree in Business, Finance, Information Systems, Information Technology, or other technical discipline
Required Qualifications
• Bachelor's or master’s degree in computer science, Information Technology, Engineering, or a related field.
• 8-10 years of IT experience with at least 5+ years in RPA development and solution delivery.
• Strong hands-on experience with:
o UiPath
o Automation Anywhere
o Microsoft Power Automate
o Blue Prism
• Experience delivering large-scale automation programs in enterprise environments.
• Knowledge of SDLC, Agile, DevOps, CI/CD, and version control practices.
Technical Skills
RPA & Automation
• Process Assessment and Automation Design
• Workflow Development
• Intelligent Document Processing (IDP)
Programming Languages
• Python
• C#
• .NET
• Java
• JavaScript
• SQL
AI & Machine Learning
• Generative AI and Large Language Models (LLMs)
• Machine Learning Model Integration
• Natural Language Processing (NLP)
• Predictive Analytics
Cloud & Integration
• Microsoft Azure
• AWS (preferred)
• REST APIs
• Web Services
• SQL Server, Oracle, PostgreSQL
Preferred Certifications
• Azure AI Engineer Associate
• Azure Administrator / Azure Developer Certification
Leadership Competencies
• Solution Architecture
• Stakeholder Management
• Team Mentoring
• Strategic Thinking
• Problem Solving
• Innovation and Continuous Improvement
Key Deliverables
• Enterprise-grade automation solutions
• AI-powered intelligent automation implementations
• Reusable automation frameworks and components
• Automation governance and compliance adherence
• Improved operational efficiency and cost savings
Nice to Have
• Experience with Agentic AI and Autonomous Agents.
• Exposure to Microsoft Copilot Studio and Power Platform.
• Knowledge of Process Mining tools such as Celonis.
• Experience managing Automation CoE initiatives.
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