Leads the AI Delivery Team to deliver, operate, and scale responsible AI solutions. The role is accountable for team leadership, execution, capacity, prioritization, and delivery management, as well as AI product leadership.
Responsibilities
Lead, coach, and develop the AI Delivery Team (AI Architect, Integration Engineers, AI Operations Engineers).
Own team capacity planning, work prioritization, and delivery management.
Lead the Shape stage of the delivery lifecycle.
Establish AI platforms and reusable patterns (agents, copilots, connectors, production-readiness).
Manage enterprise integration and AI action enablement (APIs, MCP servers, connectors, workflow automation).
Design, build and configure SAP BRIM FI CA solutions leveraging AI assisted development tools and copilots.
Responsibilities
Configure and enhance SAP BRIM FI CA components to support business processes such as billing, invoicing, dunning, credit checks, payments, and contract accounting.
Use AI copilots and LLM assisted tools for drafting functional specs, generating test cases, documentation, and accelerating development workflows.
Support end to end deliverables: requirement analysis, solution design, configuration, testing, and deployment.
Integrate SAP BRIM with surrounding SAP and non SAP systems using standard APIs, middleware, and cloud services.
Apply AI assisted tools to validate configuration, automate routine analysis, generate insights, and enhance error resolution.
Lead AI‑augmented automation projects within Amazon Finance Operations, designing and deploying generative AI, LLM, and cloud‑native solutions to transform finance workflows.
Responsibilities
Design and deliver AI‑powered automation solutions using Generative AI, LLMs, and intelligent automation frameworks
Evaluate and implement AI‑native approaches such as AI agents, copilots, RAG architectures, and prompt engineering
Develop and deploy solutions leveraging Python, AWS AI/ML services, SQL, and cloud‑native tools
Build intelligent document processing, automated decision‑making, and predictive analytics solutions
Architect and maintain data pipelines and ETL workflows using AWS Glue, Step Functions, Lambda
Lead Chartwell’s enterprise AI practice, governing AI adoption, developing governance frameworks, delivering education, and providing advisory support across the organization.
Responsibilities
Develop and evolve AI governance framework
Define controls for responsible AI use
Lead AI intake and review processes
Establish approval paths and risk classification
Partner with privacy, cybersecurity, legal, and technology leaders
Executes and improves the tooling, processes, and AI initiatives that govern how Zebra’s support knowledge performs across self-service and AI-driven support experiences, focusing on knowledge gap execution, AI performance monitoring, and prompt refinement.
Responsibilities
Implement, configure, and optimize knowledge and AI content tooling.
Independently monitor AI content performance signals—including retrieval gaps and answer quality.
Assess AI-generated responses for accuracy, grounding, and consistency.
Write, test, and refine prompts to improve how knowledge is surfaced.
Drive the knowledge gap strategy by conducting regular audits to identify outdated or underperforming content.
Requirements
Bachelor’s degree in Information Science, Information Management, Computer Science (AI/Data Science track), or a related field
The Project major is responsible for improving how governance requirements are designed, implemented, and adopted across the enterprise through policy analysis, data analytics, process improvement, and AI innovation.
Responsibilities
Analyze how policies, standards, procedures, and governance requirements are implemented across the enterprise.
Evaluate governance outcomes, implementation challenges, stakeholder feedback, and operational metrics to identify opportunities for improvement.
Recommend enough to policies, standards, guidance, and governance frameworks.
Develop metrics, reporting, and insights that support data-driven policy decisions.
Identify opportunities to leverage AI, automation, and agent-based capabilities to improve governance processes.
The Director, AI4IT Office leads Rockwell Automation's program to redesign how IT works with AI, aiming to double what IT delivers at the same cost by rebuilding workflows end to end with AI agents.
Responsibilities
Own the AI4IT program, roadmap, and results across all IT functions, serving as the single accountable leader for the mandate.
Stand up the central office and operating model, then scale it from first pilots to production across IT.
Build and publish the playbook that extends AI-first ways of working beyond IT to the wider enterprise.
Lead opportunity identification with IT leaders and maintain a ranked AI opportunity map for every IT function.
Manage a portfolio spanning software engineering and agentic coding, legacy modernization, service desk, IT operations, security operations, QA and testing, cloud cost optimization, project delivery, vendor management, and business analysis.
Requirements
Bachelor's Degree or equivalent years of relevant work experience
Lead the Bangalore-based manageability product organization, focusing on NetApp Console Experience including AI-powered autonomous operations, hybrid multi-cloud control plane, and SaaS platform services.
Responsibilities
Own the product and experience vision for NetApp Console across hybrid and multi-cloud environments.
Define intuitive AI-agent experiences, including how actions are presented, approved and reversed.
Build customer-led roadmaps balancing UX, competitive insights and business priorities.
Own the lifecycle of AI/ML, hybrid cloud, SaaS/SRE and trial/demo platform services.
Partner with UX leadership to deliver a consistent experience across onboarding, operations and troubleshooting.
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