Note: The job is a remote job and is open to candidates in USA. IBM Consulting helps clients across industries advance their hybrid cloud and AI journeys through technology and business transformation services. This senior AI engineering role focuses on designing, building, deploying, and operationalizing agentic AI solutions on Azure, while engaging directly with clients and collaborating with technical and business stakeholders.
Responsibilities
- Design, build, and deploy agentic AI workflows and multi-agent systems using Azure OpenAI and supporting frameworks
- Develop and optimize prompt engineering strategies to maximize model performance and reliability
- Build and maintain Retrieval-Augmented Generation (RAG) pipelines that enable grounded, context-aware AI responses
- Implement agent orchestration patterns including tool calling, memory management, and human-in-the-loop workflows
- Engage directly with client stakeholders to gather requirements, demo capabilities, and walk through technical solutions
- Communicate clearly on progress, blockers, and technical tradeoffs - no hand-holding required
- Collaborate with architects, data engineers, and business teams to ensure seamless end-to-end integration
- Deploy and manage AI models using Azure ML, Azure AI Studio, or equivalent Azure services
- Integrate AI capabilities into enterprise applications via APIs, event-driven pipelines, and microservices
- Establish monitoring, evaluation, and feedback loops to ensure ongoing model performance and reliability in production
- Ensure solutions meet enterprise standards for security, scalability, and compliance
Skills
- Bachelor's Degree
- 7+ years designing, developing, and deploying scalable AI applications leveraging LLMs, RAG architectures, and agentic AI workflows
- Build and operationalize AI orchestration pipelines using frameworks such as LangChain and LangGraph
- Develop AI agents capable of tool calling, contextual retrieval, memory/state management, multi-agent coordination, and autonomous workflow execution
- Implement MCP (Model Context Protocol) integration patterns to enable secure, modular interoperability between AI agents, enterprise systems, tools, and data sources
- Support the industrialization of AI capabilities through reusable architecture patterns, standardized deployment frameworks, monitoring, testing, evaluation pipelines, and operational support models
- Develop and integrate enterprise-grade APIs, vector databases, workflow platforms, and operational systems into AI-enabled business processes
- Implement AI governance, security, logging, guardrails, and human-in-the-loop controls to support responsible and scalable AI adoption
- Contribute to CI/CD, LLMOps/MLOps, and cloud-native deployment practices supporting enterprise-scale AI delivery
- This role can be performed from anywhere in the United States
- IBM will not be providing visa sponsorship for this position now or in the future. Therefore, in order to be considered for this position, you must have the ability to work without a need for current or future visa sponsorship
- Master's Degree
- Experience with agentic frameworks such as LangChain, LangGraph, AutoGen, Semantic Kernel, or CrewAI
- Familiarity with vector databases (e.g., Azure AI Search, Pinecone, Weaviate) for RAG implementations
- Knowledge of MLOps practices and CI/CD pipelines for AI model deployment and lifecycle management
- Experience with enterprise integration patterns and connecting AI solutions to CRMs, ERPs, or data platforms
Benefits
- Eligible employees may have access to healthcare benefits including medical and prescription drug coverage, dental, vision, and mental health and well-being coverage.
- Eligible employees may have access to financial programs such as a 401(k), cash balance pension plan, the IBM Employee Stock Purchase Plan, financial counseling, life insurance, and short- and long-term disability coverage.
- Eligible employees may have access to opportunities for performance-based salary incentive programs.
- Generous paid time off including 12 holidays, minimum 56 hours sick time, and 120 hours vacation.
- 12 weeks parental bonding leave in accordance with IBM Policy.
- Other Paid Care Leave programs.
- Paid family leave benefits to eligible employees where required by applicable law.
- Training and educational resources on IBM's personalized, AI-driven learning platform, including opportunities to obtain industry-recognized certifications.
- Diverse and inclusive employee resource groups, giving and volunteer opportunities, and discounts on retail products, services, and experiences.
Company Overview