Senior Data Engineer - AI & Analytics Infrastructure
IBM
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Job summary
IBM Consulting seeks an experienced Data Engineer to design and scale data pipelines and infrastructure for a high-priority Agentic AI engagement. You’ll own data quality, governance, and availability to enable AI and analytics use cases built with enterprise data.
You’ll build pipelines with Microsoft Fabric, Databricks, and Azure Synapse, implement MCP integration, and collaborate with AI engineers to deliver secure, scalable data platforms across the organization.
Qualifications
- 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.
Responsibilities
- Design, build, and maintain robust data pipelines that ingest, transform, and deliver high-quality data across the platform.
- Develop scalable architectures using Microsoft Fabric, Databricks, and/or Azure Synapse Analytics.
- Ensure pipelines are performant, reliable, and built to handle the scale and variability of enterprise data.
- Implement data transformation and orchestration workflows that feed AI models and analytics dashboards.
- Architect and maintain the underlying data infrastructure that supports AI and analytics use cases.
- Define and implement data lakehouse patterns, medallion architecture, and layered data models.
- Collaborate with AI engineers and architects to ensure data outputs are structured and accessible for model consumption.
- Manage and optimize data storage, compute, and processing environments for cost and performance.
- Implement data quality checks, validation frameworks, and monitoring to ensure trustworthy data outputs.
- Establish and enforce data governance standards including lineage tracking, cataloging, and access controls.
- Partner with stakeholders to document data assets and ensure discoverability across the platform.
Skills
Education
Tools
Job description
A career in IBM Consulting is built on long-term client relationships and close collaboration worldwide. You’ll work with leading companies across industries, helping them shape their hybrid cloud and AI journeys. With support from our strategic partners, robust IBM technology, and Red Hat, you’ll have the tools to drive meaningful change and accelerate client impact. At IBM Consulting, curiosity fuels success. You’ll be encouraged to challenge the norm, explore new ideas, and create innovative solutions that deliver real results. Our culture of growth and empathy focuses on your long-term career development while valuing your unique skills and experiences.
We are seeking an experienced Data Engineer to support the design and scaling of data pipelines and infrastructure for a high-priority Agentic AI engagement. This role is central to the success of the program — the quality, accessibility, and governance of data directly enables the AI and analytics use cases being built.
- Design, build, and maintain robust data pipelines that ingest, transform, and deliver high-quality data across the platform
- Develop scalable architectures using Microsoft Fabric, Databricks, and/or Azure Synapse Analytics
- Ensure pipelines are performant, reliable, and built to handle the scale and variability of enterprise data
- Implement data transformation and orchestration workflows that feed AI models and analytics dashboards
- Architect and maintain the underlying data infrastructure that supports AI and analytics use cases
- Define and implement data lakehouse patterns, medallion architecture, and layered data models
- Collaborate with AI engineers and architects to ensure data outputs are structured and accessible for model consumption
- Manage and optimize data storage, compute, and processing environments for cost and performance
- Implement data quality checks, validation frameworks, and monitoring to ensure trustworthy data outputs
- Establish and enforce data governance standards including lineage tracking, cataloging, and access controls
- Partner with stakeholders to document data assets and ensure discoverability across the platform.
*This role can be performed from anywhere in the United States*
Bachelor's Degree
Master'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.
- 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
IBM Consulting is IBM’s consulting and global professional services business, with market leading capabilities in business and technology transformation. With deep expertise in many industries, we offer strategy, experience, technology, and operations services to many of the most innovative and valuable companies in the world. Our people are focused on accelerating our clients’ businesses through the power of collaboration. We believe in the power of technology responsibly used to help people, partners and the planet.
In a world where technology never stands still, we understand that, dedication to our clients success, innovation that matters, and trust and personal responsibility in all our relationships, lives in what we do as IBMers as we strive to be the catalyst that makes the world work better.
Being an IBMer means you’ll be able to learn and develop yourself and your career, you’ll be encouraged to be courageous and experiment everyday, all whilst having continuous trust and support in an environment where everyone can thrive whatever their personal or professional background.
Our IBMers are growth minded, always staying curious, open to feedback and learning new information and skills to constantly transform themselves and our company. They are trusted to provide on-going feedback to help other IBMers grow, as well as collaborate with colleagues keeping in mind a team focused approach to include different perspectives to drive exceptional outcomes for our customers. The courage our IBMers have to make critical decisions everyday is essential to IBM becoming the catalyst for progress, always embracing challenges with resources they have to hand, a can-do attitude and always striving for an outcome focused approach within everything that they do.
Are you ready to be an IBMer?
IBM’s greatest invention is the IBMer. We believe that through the application of intelligence, reason and science, we can improve business, society and the human condition, bringing the power of an open hybrid cloud and AI strategy to life for our clients and partners around the world.
Restlessly reinventing since 1911, we are not only one of the largest corporate organizations in the world, we’re also one of the biggest technology and consulting employers, with many of the Fortune 500 companies relying on the IBM Cloud to run their business.
At IBM, we pride ourselves on being an early adopter of artificial intelligence, quantum computing and blockchain. Now it’s time for you to join us on our journey to being a responsible technology innovator and a force for good in the world.
IBM is proud to be an equal-opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, gender, gender identity or expression, sexual orientation, national origin, genetics, pregnancy, disability, neurodivergence, age, or other characteristics protected by the applicable law. IBM is also committed to compliance with all fair employment practices regarding citizenship and immigration status.
IBM 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
We consider qualified applicants with criminal histories, consistent with applicable law.
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.
Job Title
Date posted
20-Aug-2026
Job ID
129788
City / Township / Village
LOS ANGELES, Dallas, Austin, Chicago, New York
State / Province
Illinois, Ohio, Texas, New York, North Carolina, Virginia, North Dakota, Arkansas, Michigan, Oregon, Pennsylvania, Utah, Arizona, Washington, California, New Jersey, Connecticut
Country
United States
Work arrangement
Hybrid
Area of work
Data & Analytics
Employment type
Regular
Contract type
Regular
Projected Minimum Salary per year
144,000.00
Projected Maximum Salary per year
268,000.00
Position type
Professional
Up to 60% or 3 days a week (home on weekends - based on project requirements)
Company
(0147) International Business Machines Corporation
Shift
General (daytime)
Is this role a commissionable/sales incentive based position?
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