• You work with multiple clients as the main technical voice for Databricks. • You lead your customers on a transformational journey, helping them to evaluate and adopt Databricks as part of their strategy • You implement the technical strategy in the accounts with a clear understanding of this strategy and its business value. • You build a movement of technical champions within the account. • You align technical strategies around Databricks solutions. • You provide structured mentorship for other team members. • Gain your peers' respect through your experience, insight, and contributions.

Role Description The candidate must have a proven track record of implementing and administering Workday, with expert-level knowledge of the Recruitment module and HCM processing. - Workday Pro Certified with mastery-level experience in Workday Recruiting is preferred. - Experience and knowledge of other Workday modules preferred such as Human Capital Management (HCM). - Excellent verbal and written communication, escalation, and conflict resolution skills. - Strong problem-solving skills and ability to troubleshoot technical issues. - Experience developing and delivering training programs. - Strong attention to detail and ability to maintain data accuracy and integrity. - A passion for excellent customer service, adaptable & flexible. Qualifications - Proven track record of implementing and administering Workday. - Expert-level knowledge of the Recruitment module and HCM processing. - Workday Pro Certification preferred. - Experience with other Workday modules preferred. - Excellent communication and conflict resolution skills. - Strong problem-solving and troubleshooting abilities. - Experience in developing and delivering training programs. - Attention to detail and data integrity. - Passion for customer service. Requirements - Mastery-level experience in Workday Recruiting preferred. - Experience with Human Capital Management (HCM) preferred. - Strong verbal and written communication skills. - Ability to troubleshoot technical issues. - Experience in training program development. - Attention to detail. - Adaptability and flexibility. Company Description Rootshell Enterprise Technologies Inc. is a recognized provider of professional IT Consulting services in the US.

Role Description The Solution Leader - Professional Services is responsible for end-to-end leadership of a specific Client solution portfolio (e.g., Lending, Treasury, Trading, Payments). This role ensures successful execution of implementations, SaaS onboarding, upgrades, and client transformations, while acting as the bridge between Client product teams, Zensar delivery, and end clients. Key Responsibilities - Solution Portfolio Ownership: - Own delivery and execution for a specific Client solution stack (e.g., Lending or Treasury). - Build deep functional and technical understanding of Client products within the solution area. - Act as Zensar's solution evangelist and trusted advisor to Client and clients. - Delivery & Execution Excellence: - Lead multiple concurrent implementation and onboarding programs globally. - Ensure adherence to delivery standards, timelines, quality benchmarks, and risk management. - Resolve complex delivery issues across regions and product integrations. - Client & Partner Collaboration: - Engage directly with client stakeholders (IT, business, operations). - Support Client sales and services teams during pre-sales, solution scoping, and planning. - Provide client assurance on solution design, implementation approach, and outcomes. - Capability & Talent Development: - Build and nurture solution-aligned delivery teams. - Define skill requirements, training pathways, and certification plans aligned to Client products. - Act as a mentor to architects, project managers, and functional consultants. - Commercial & Operational Support: - Support estimation, staffing models, and delivery commercials. - Track solution-level KPIs: utilization, margins, delivery health, and CSAT. - Provide inputs to portfolio planning and forecasting. - Innovation & Continuous Improvement: - Drive learning from delivery experiences to improve implementation frameworks, accelerators, and best practices. - Identify opportunities for automation, tooling, and repeatable assets. - Feed client and delivery insights back to Client product and service teams. - Product Competency Development: - Draw plans for deepening Zensar SI capabilities on client product portfolio. - Align SI delivery capabilities with the client's global implementation roadmap. - Drive Product certifications and surround IP development. Qualifications - 12-18+ years of experience in Financial Services technology implementations. - Deep expertise in at least one domain: Lending, Treasury, Trading, Capital Markets, Payments. - Hands-on experience with Client platforms or comparable solutions. - Strong understanding of professional services delivery models. - Proven ability to manage multi-region teams and complex stakeholders. Success Measures - On-time and high-quality delivery of solution programs. - Client satisfaction and repeat engagements. - Strong, stable delivery teams with growing capability depth. - Positive contribution to portfolio financials.

Role Description Translating AI capabilities into business value requires a technically versatile engineer who can bridge the gap between complex AI models and practical applications. This implementation-oriented full-stack role combines software engineering expertise with specialized knowledge of how to efficiently leverage data sources, LLMs, and AI agents in production environments to deliver tangible business value. - Accelerates user adoption through intuitive interfaces and seamless system integrations - Creates efficient data pipelines connecting LLMs to relevant utility information sources - Enables intelligent automation through multi-agent systems for complex workflows - Develops sustainable solutions that can evolve with business needs and technology advances Key Responsibilities - Build proof-of-concept applications and production-ready interfaces for GenAI capabilities - Connect AI services with enterprise systems (SAP, internal databases) for data exchange - Design and implement multi-agent architectures to solve complex business processes - Develop tool integration frameworks allowing AI to interact with utility systems - Create robust memory and reasoning systems for contextual, multi-step AI interactions - Implement appropriate guardrails and safety measures for AI agent systems - Gather requirements and translate business needs into technical implementation - Produce documentation and knowledge transfer materials for sustainable solutions Expected Skillset - Full-Stack Development: Modern front-end frameworks, back-end technologies, API design - System Integration: Experience connecting disparate systems, data orchestration, authentication - AI Application Patterns: RAG architectures, prompt engineering, agent orchestration frameworks - Agent Architecture: Knowledge of multi-agent systems, collaboration protocols, tool integration - Reasoning & Memory: Understanding of chain-of-thought reasoning, context management, planning algorithms - User Experience: Ability to design intuitive AI interfaces with appropriate feedback mechanisms - Rapid Prototyping: Demonstrated ability to quickly build working demos and iterate based on feedback