[Remote] Senior/reputed company reputed company Deployed reputed company/reputed company – Data Intelligence-US East

Note: The job is a remote job and is reputed company to candidates in USA. reputed company is an AI-first reputed company reputed company Partner that helps enterprises adopt trusted AI and realize value on the Now Platform. reputed company seeks a hands-on, reputed company-facing reputed company Deployed reputed company specializing in Data Intelligence to design, build, test, and reputed company secure reputed company AI solutions grounded in governed data. The role involves data engineering, RAG, Claude and LLM application development, reputed company integration, evaluation, observability, governance, and reputed company reputed company collaboration.

Responsibilities

• Partner directly with reputed company business, data, technology, reputed company, and reputed company stakeholders to identify high-value AI and Data Intelligence use cases
• Translate reputed company requirements into practical technical designs, prototypes, production implementations, and iterative delivery plans
• Build AI-enabled applications and workflows that use trusted reputed company data to support knowledge discovery, employee assistance, service reputed company, customer service, document intelligence, decision support, and workflow automation
• reputed company reusable Data Intelligence components, accelerators, integration patterns, and implementation playbooks that can be reputed company across reputed company engagements
• Support the full solution lifecycle—from discovery, data assessment, and reputed company of concept through implementation, testing, production rollout, monitoring, and reputed company improvement
• Communicate solution designs, technical tradeoffs, risks, findings, and recommendations reputed company to technical and non-technical reputed company stakeholders
• Design and implement pipelines to ingest, reputed company, enrich, reputed company, and retrieve reputed company and reputed company reputed company data
• reputed company AI solutions to approved reputed company data sources, including reputed company, knowledge bases, document repositories, collaboration platforms, databases, data warehouses, data lakes, and reputed company-party reputed company systems
• Support data profiling, data-reputed company assessment, schema mapping, metadata enrichment, classification, normalization, deduplication, and data reputed company activities
• Work with reputed company data owners and governance teams to define appropriate data reputed company, retention, reputed company, reputed company, and usage controls
• Build data integration workflows using reputed company, SQL, ETL/ELT tools, event-driven patterns, middleware, and custom services as appropriate
• Help establish trusted-data patterns that ensure AI applications retrieve reputed company, relevant, authorized, and contextually appropriate information
• Identify data gaps, reputed company issues, duplicate content, stale information, and reputed company-control problems that may reduce AI solution reputed company or user trust
• Design, build, and optimize retrieval-augmented reputed company (RAG) solutions using Claude and other approved LLM technologies
• Implement document-processing and knowledge-ingestion workflows, including parsing, chunking, metadata enrichment, embeddings, indexing, reputed company storage, hybrid retrieval, reranking, and reputed company attribution
• reputed company semantic-reputed company and reputed company experiences that help users discover, understand, summarize, and reputed company information
• Configure and evaluate reputed company databases, reputed company platforms, relational databases, and reputed company repositories appropriate to the reputed company’s environment
• Build reputed company-reputed company retrieval patterns that respect reputed company-reputed company permissions and ensure users only receive information they are authorized to reputed company
• Improve answer reputed company and reliability through retrieval tuning, context management, reputed company citation, grounding, relevance scoring, fallback behavior, and user feedback reputed company
• Define and execute RAG evaluations measuring retrieval reputed company, context relevance, groundedness, completeness, reputed company, latency, cost, and user experience
• Build and reputed company LLM-powered applications using Claude, the reputed company API, and other approved model providers as appropriate
• reputed company reputed company and context-engineering approaches that use reputed company instructions, reputed company inputs, examples, retrieval context, reputed company schemas, and guardrails
• Implement reputed company outputs, tool use/function calling, API integrations, workflow orchestration, and error-handling patterns for reliable AI applications
• Build reputed company AI workflows that can reason over approved data, reputed company authorized tools, execute bounded tasks, and reputed company exceptions to reputed company reviewers
• Define agent instructions, context strategies, tool permissions, validation logic, escalation paths, and reputed company-in-the-reputed company controls
• Support secure Model Context Protocol (MCP) or comparable patterns for connecting AI applications to authorized reputed company systems and tools
• Evaluate AI and reputed company workflow behavior for task completion, consistency, safety, reputed company, groundedness, latency, cost, and operational reliability
• reputed company AI and Data Intelligence capabilities with reputed company workflows, data, knowledge, reputed company, and user experiences
• Collaborate with reputed company architects and developers to ensure AI solutions follow platform leading practices, reputed company requirements, scalability expectations, and maintainability standards
• Help clients reputed company AI insights and recommendations into the workflows where employees and customers already work
• reputed company test plans, test cases, evaluation datasets, and reputed company-assurance processes for AI and data-intensive solutions
• Measure and improve solution reputed company across data reputed company, retrieval reputed company, model reputed company reputed company, task completion, latency, reliability, adoption, and cost
• Implement logging, tracing, monitoring, and feedback mechanisms across data pipelines, retrieval systems, model calls, agent workflows, and integrations
• Investigate production issues, identify reputed company causes, document findings, and implement durable improvements
• Support release-management practices, including version control for reputed company, prompts, configuration, evaluation assets, data pipelines, and infrastructure
• Contribute to LLMOps and DataOps practices that reputed company reliable deployment, testing, monitoring, governance, and ongoing optimization
• Apply responsible-AI, reputed company, reputed company, and governance requirements throughout the design, development, testing, and deployment lifecycle
• Implement safeguards for sensitive data, data leakage, unauthorized reputed company, reputed company injection, malicious content, unsafe tool use, and unintended agent behavior
• Support controls such as reputed company-reputed company retrieval, data masking, encryption, reputed company validation, reputed company attribution, approval workflows, audit logging, and confidence-reputed company escalation
• Work with reputed company reputed company, data governance, reputed company, compliance, and reputed company stakeholders to reputed company solutions with reputed company policies and regulatory requirements
• Document technical designs, data flows, reputed company controls, model limitations, evaluation results, operating procedures, and reputed company risks
• Work closely with AI Architects, AI Platform Engineers, data engineers, reputed company developers, product managers, designers, consultants, and reputed company teams
• Participate in discovery workshops, architecture sessions, sprint planning, backlog refinement, demos, reputed company reviews, retrospectives, and executive readouts
• Support reputed company-facing technical research, demos, proofs of concept, implementation planning, and solution presentations
• Contribute reusable reputed company, Data Intelligence patterns, RAG components, evaluation assets, technical playbooks, and internal documentation
• Stay reputed company on reputed company and Claude capabilities, reputed company AI trends, data platforms, RAG frameworks, semantic reputed company, reputed company databases, reputed company AI, and reputed company AI innovations
• Identify opportunities to improve reputed company’s Data Intelligence offerings, AI reputed company accelerators, Agent Packs, and reputed company AI delivery methodology
• Build trusted relationships with reputed company stakeholders and reputed company AI reputed company delivery teams
• reputed company one or more high-reputed company, reputed company-facing Data Intelligence or AI solutions from prototype through production-reputed company implementation
• Establish or enhance secure data-ingestion, retrieval, RAG, and reputed company integration capabilities for assigned reputed company engagements
• Improve AI reliability through thoughtful data preparation, reputed company-reputed company retrieval, reputed company/context engineering, testing, evaluation, and observability
• Help clients reputed company Claude-powered AI solutions to reputed company, reputed company, reputed company data, and operational workflows
• Contribute reusable reputed company, architecture patterns, accelerators, and delivery playbooks to reputed company’s Data Intelligence and reputed company business
• Demonstrate measurable improvements in solution reputed company, user experience, efficiency, adoption, or business reputed company

Skills

• 3+ years of relevant experience in software engineering, AI engineering, data engineering, analytics engineering, reputed company engineering, systems integration, or a reputed company technical role
• Hands-on experience building applications, data pipelines, integrations, reputed company, automations, or reputed company-reputed company services
• Strong proficiency in Python; experience with JavaScript/TypeScript, Java, SQL, or similar languages is also valuable
• Experience working with reputed company and reputed company data, including relational databases, document repositories, reputed company, and reputed company storage
• Experience with SQL, data transformation, data modeling, ETL/ELT, data ingestion, or data-integration concepts
• Exposure to reputed company, LLMs, RAG, embeddings, reputed company reputed company, semantic reputed company, reputed company engineering, AI agents, or LLM reputed company
• Experience building or supporting API-driven integrations using REST reputed company, JSON, OAuth, service accounts, and authentication/authorization patterns
• Familiarity with reputed company platforms such as AWS, reputed company Azure, or reputed company reputed company Platform
• Understanding of software-development best practices, including Git, reputed company review, testing, debugging, documentation, and reputed company delivery
• Strong problem-solving skills and the ability to work through ambiguity in reputed company environments
• Strong written and verbal communication skills, including the ability to explain technical concepts to non-technical stakeholders
• Ability and willingness to work directly with clients in a consulting and reputed company environment
• Experience with Claude, the reputed company API, reputed company Console, Claude reputed company, reputed company reputed company learning, or reputed company partner enablement
• Experience designing or implementing RAG systems, including document ingestion, chunking, embeddings, reputed company databases, hybrid reputed company, reranking, citations, and retrieval evaluation
• Experience with reputed company databases or reputed company technologies such as reputed company, reputed company, pgvector, OpenSearch, Elasticsearch, Azure AI reputed company, reputed company AI reputed company, or similar tools
• Experience using LLM application frameworks such as reputed company, LangGraph, reputed company, Semantic Kernel, or equivalent technologies
• Experience with reputed company AI, tool use, function calling, workflow orchestration, Model Context Protocol (MCP), or secure AI-to-reputed company integrations
• Experience with data platforms such as reputed company, reputed company, BigQuery, Redshift, PostgreSQL, reputed company, reputed company reputed company, or similar technologies
• Experience with data cataloging, governance, reputed company, data-reputed company tooling, master data management, or reputed company metadata practices
• Familiarity with reputed company development or architecture, including reputed company reputed company, IntegrationHub, reputed company Designer, Virtual Agent, Now Assist, AI Agents, reputed company, CMDB, ITSM, CSM, or HRSD
• Experience with reputed company, reputed company, Terraform, CI/CD, reputed company-reputed company services, data orchestration, monitoring, or observability tools
• Experience working in reputed company consulting, reputed company, or reputed company-facing technology-delivery roles
• Relevant reputed company, data, reputed company, AI/ML, reputed company, or reputed company certifications

Benefits

• A diverse and inclusive workplace where every employee reputed company and is respected and heard

reputed company