Your role and responsibilities
About the Role
We are seeking a skilled AI Engineer to join an active enterprise AI engagement in a hands-on, client-facing capacity. This is a senior individual contributor role requiring deep technical proficiency in Agentic AI - you will be expected to operate independently, interact directly with the client, and deliver with minimal oversight.
You will be responsible for building, fine-tuning, and operationalizing AI solutions on Azure, with a specific focus on agentic workflows, prompt engineering, RAG pipelines, and production-grade model deployment. The client expects a high-caliber engineer who can perform from day one.
What You'll Do
Agentic AI Development• 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
Client Engagement & Collaboration• 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
Engineering & Operationalization• 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
Required education
Bachelor's Degree
Preferred education
Master's Degree
Required technical and professional expertise
- 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.
Preferred technical and professional experience
Preferred Skills• 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
OTHER RELEVANT JOB DETAILSIBM offers a competitive and comprehensive benefits program. Eligible employees may have access to:
- Healthcare benefits including medical & prescription drug coverage, dental, vision, and mental health & well being
- Financial programs such as 401(k), cash balance pension plan, the IBM Employee Stock Purchase Plan, financial counseling, life insurance, short & long- term disability coverage, and opportunities for performance based salary incentive programs
- Generous paid time off including 12 holidays, minimum 56 hours sick time, 120 hours vacation, 12 weeks parental bonding leave in accordance with IBM Policy, and other Paid Care Leave programs. IBM also offers paid family leave benefits to eligible employees where required by applicable law
- Training and educational resources on our personalized, AI-driven learning platform where IBMers can grow skills and obtain industry-recognized certifications to achieve their career goals
- Diverse and inclusive employee resource groups, giving & volunteer opportunities, and discounts on retail products, services & experiences
This position was posted on the date cited in the key job details section and is anticipated to remain posted for 21 days from this date or less if not needed to fill the role.
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.
The compensation range and benefits for this position are based on a full-time schedule for a full calendar year. The salary will vary depending on your job-related skills, experience and location. Pay increment and frequency of pay will be in accordance with employment classification and applicable laws. For part time roles, your compensation and benefits will be adjusted to reflect your hours. Benefits may be pro-rated for those who start working during the calendar year.
