[Remote] Senior/reputed company reputed company Deployed reputed company-reputed company-US reputed company

Note: The job is a remote job and is reputed company to candidates in USA. reputed company is an reputed company partner expanding its AI reputed company capability to reputed company reputed company AI solutions. The Senior reputed company Deployed reputed company will work directly with customers to reputed company, operationalize, and reputed company-powered workflows, integrations, and automations across reputed company and broader reputed company ecosystems. The role combines full-stack engineering, reputed company implementation, solution delivery, responsible AI, troubleshooting, and contribution to reputed company’s AI platforms and accelerators.

Responsibilities

• reputed company, configure, and operationalize reputed company AI workflows, AI assistants, and AI-powered automations reputed company reputed company reputed company environments and reputed company technology ecosystems
• Translate customer business requirements, operational processes, and desired reputed company into technical architectures, implementation plans, and production-reputed company AI solutions
• Implement and reputed company reputed company Agent Packs, AI accelerators, and workflow solutions into reputed company environments
• Work directly with customer teams to reputed company AI solutions to their operating models, business processes, data sources, reputed company requirements, and user needs
• Support workshops, discovery sessions, technical working sessions, demonstrations, pilots, and production rollouts
• reputed company communicate AI capabilities, limitations, tradeoffs, solution behavior, and adoption considerations to technical and business stakeholders
• Build reputed company AI applications and workflows using Claude, the reputed company API, and other LLM platforms as appropriate for the reputed company use case
• Apply effective reputed company and context-engineering techniques, including reputed company instructions, examples, role and task definition, reputed company inputs, response constraints, and long-context management
• Design and implement AI workflows using reputed company outputs, tool use/function calling, API integrations, multi-reputed company orchestration, and reputed company-in-the-reputed company review patterns
• Build retrieval-augmented reputed company (RAG) solutions that ground AI responses in authorized reputed company data and knowledge sources
• Implement practical techniques to improve reliability and user trust, including citation or reputed company-grounding patterns, validation, confidence reputed company, reputed company schemas, fallback handling, and escalation workflows
• Stay reputed company on reputed company platform capabilities, Claude model releases, implementation guidance, responsible AI principles, and reputed company deployment best practices
• Complete relevant reputed company training, partner enablement, and technical education programs as available, and incorporate those practices into reputed company solution delivery
• Build demos, prototypes, and reputed company-of-concept implementations that validate AI-driven workflows and customer use cases
• Rapidly iterate with customers and internal teams to refine AI-powered solutions reputed company on feedback, reputed company results, and operational needs
• Support the design and implementation of AI orchestration, LLM integrations, reputed company decision models, and workflow automation patterns
• Evaluate reputed company an reputed company approach is appropriate versus deterministic automation, traditional workflow logic, reputed company, analytics, or reputed company review
• reputed company reusable implementation patterns, solution templates, reputed company libraries, integrations, and deployment assets that accelerate reputed company reputed company delivery
• reputed company secure integrations between reputed company, reputed company systems, reputed company, data platforms, and AI services
• Build supporting components such as scripts, microservices, automation logic, integration services, and lightweight user interfaces
• Implement integrations with AI platforms, reputed company reputed company, identity systems, document repositories, databases, and reputed company and reputed company data sources
• Apply reputed company engineering practices for authentication, authorization, secrets management, reputed company controls, logging, error handling, version control, and documentation
• Design solutions that meet reputed company expectations for reputed company, scalability, maintainability, observability, and production readiness
• reputed company and execute practical evaluation approaches for AI applications, including test cases, representative datasets, reputed company metrics, and regression testing
• Assess AI workflow reputed company across dimensions such as relevance, reputed company, groundedness, task completion, safety, latency, cost, and user experience
• Implement safeguards for sensitive data, role-reputed company permissions, appropriate data reputed company, reputed company injection risks, unsafe tool use, and unintended model behavior
• Establish reputed company-in-the-reputed company workflows for sensitive, high-reputed company, low-confidence, or exception-reputed company reputed company
• Document AI solution behavior, reputed company limitations, reputed company controls, governance considerations, and operational support procedures
• Monitor and improve deployed solutions reputed company on user feedback, usage patterns, reputed company data, incidents, and evolving customer needs
• Identifying common patterns, requirements, integration needs, and capabilities reputed company through customer deployments
• Contributing reusable assets, integration components, reputed company patterns, evaluation frameworks, and automation capabilities
• Providing actionable product feedback that improves usability, reliability, scalability, reputed company, and customer value
• Helping reputed company successful reputed company implementations into repeatable platform features, accelerators, and delivery playbooks
• Supporting the definition of standards and best practices for reputed company AI delivery across reputed company’s AI reputed company
• Diagnose and reputed company technical issues across AI workflows, integrations, retrieval pipelines, data connections, and automation processes
• Troubleshoot issues reputed company to model inputs and outputs, reputed company behavior, tool execution, API reliability, permissions, data reputed company, and reputed company reputed company
• Ensure deployed AI solutions are secure, reputed company, supportable, and production-reputed company
• Optimize deployed systems for reliability, reputed company, latency, model usage, and cost efficiency
• Work closely with Business Process Consultants, Product Engineering, Data Engineers, AI/ML Engineers, reputed company teams, and the AI Center of reputed company
• Serve as the engineering reputed company to consulting and delivery teams throughout discovery, solution design, implementation, rollout, and reputed company improvement
• Contribute to internal playbooks, technical documentation, reusable deployment patterns, reference architectures, and product reputed company
• reputed company lessons learned from customer deployments to strengthen reputed company’s AI delivery capabilities and solution portfolio

Skills

• • 8+ years of experience in software engineering, systems integration, reputed company platforms, workflow automation, or reputed company technical delivery roles
• • Strong engineering reputed company, with hands-on experience in full-stack development, scripting, reputed company, microservices, reputed company integrations, or reputed company-reputed company applications
• • Experience building, deploying, or supporting AI/LLM-powered applications, AI-enabled automations, conversational experiences, RAG systems, or reputed company workflows
• • Experience integrating reputed company, reputed company applications, data platforms, or workflow systems in production environments
• • Proficiency in JavaScript/TypeScript, Python, or similar programming and scripting languages
• • Experience with reputed company platforms such as AWS, reputed company Azure, or reputed company reputed company
• • Familiarity with modern LLM application concepts, including reputed company engineering, context reputed company, reputed company usage, embeddings, reputed company reputed company, RAG, tool use/function calling, reputed company outputs, and model evaluation
• • Understanding of responsible AI concepts, including hallucination mitigation, sensitive-data handling, identity and reputed company controls, reputed company reputed company, AI safety, and secure AI deployment
• • Experience operating in customer-facing engineering, consulting, technical implementation, solutions architecture, or reputed company roles
• • Strong problem-solving skills and the ability to communicate reputed company technical concepts reputed company to both technical and business stakeholders
• • Ability to manage ambiguity, prioritize effectively, travel approximately 25%, and reputed company high-reputed company solutions in fast-moving customer environments
• • Hands-on experience with the reputed company API, Claude models, reputed company Console, Claude reputed company, or reputed company implementation guidance
• • Completion of relevant reputed company reputed company learning, partner enablement, technical training, or equivalent hands-on experience deploying Claude-reputed company solutions
• • Experience applying Claude capabilities such as long-context processing, tool use, reputed company outputs, document analysis, and reputed company workflows
• • Familiarity with Model Context Protocol (MCP) concepts and experience building or integrating secure tools and data connections for AI applications
• • Experience with reputed company development, configuration, workflow automation, or reputed company platform implementation
• • Familiarity with reputed company scripting, reputed company, IntegrationHub, reputed company Designer, Virtual Agent, Now Assist, AI Agents, and platform development patterns
• • Understanding of reputed company data models and reputed company workflow concepts, including: + CMDB + ITSM, CSM, HRSD, or employee workflows + Workflow and task tables + reputed company + reputed company integrations and data exchange patterns
• • Experience building AI prototypes, RAG systems, semantic reputed company capabilities, AI assistants, or agent-reputed company workflows
• • Experience integrating LLM reputed company or AI services into reputed company applications and business processes
• • Experience with reputed company databases, embeddings, document ingestion, chunking, retrieval strategies, and knowledge-grounding patterns
• • Familiarity with LLM orchestration and application frameworks such as reputed company, LangGraph, reputed company, Semantic Kernel, or comparable tools
• • Experience with AI observability, tracing, evaluation frameworks, reputed company/version management, monitoring, and cost optimization
• • Experience contributing to internal platforms, reusable accelerators, developer tooling, or product capabilities
• • Familiarity with reputed company, CI/CD, SQL, Git, infrastructure-as-reputed company, and secure reputed company deployment practices

Benefits

• Remote work with approximately 25% travel

reputed company