Your role and responsibilities

Enterprise AI Solution Architecture
• Architect end-to-end enterprise AI solutions that integrate AI models, data platforms, and enterprise systems into cohesive, production-grade architectures
• Define integration patterns across AI services, APIs, data pipelines, and core business systems to ensure interoperability and extensibility
• Translate complex business requirements into scalable AI-powered solution designs, with clear articulation of tradeoffs, risks, and value drivers
• Lead architecture design reviews and provide hands-on guidance to delivery teams across active engagements
• Contribute to practice development by building reusable assets, frameworks, and point-of-views that strengthen our AI delivery capability

Platform Engineering & Cloud Infrastructure
• Design and implement Azure-based AI platform infrastructure that supports scalable model deployment, data ingestion, and application integration
• Define infrastructure-as-code standards and CI/CD pipeline patterns for AI workloads, enabling repeatable and auditable deployments
• Architect cloud-native environments optimized for AI throughput, cost efficiency, and operational resilience
• Establish platform engineering standards that enable development teams to build, test, and ship AI solutions faster and more reliably
• Evaluate and recommend emerging platform capabilities, cloud services, and tooling that advance our delivery approach

Observability, Governance & Development Lifecycle
• Design observability frameworks for AI systems including model monitoring, prompt evaluation, drift detection, and performance alerting
• Define AI governance standards covering responsible AI principles, audit trails, explainability requirements, and human-in-the-loop controls
• Establish development lifecycle practices for AI - from experimentation and model validation through to production deployment and ongoing operations
• Implement guardrail frameworks and safety controls for agentic and generative AI workloads to ensure appropriate oversight and auditability
• Champion MLOps and AI engineering best practices across the team, ensuring solutions are maintainable, observable, and continuously improvable

Thought Leadership & Practice Growth
• Serve as a senior technical voice both internally and with clients, sharing expertise, identifying emerging patterns, and helping define our AI point of view
• Mentor architects and engineers on platform engineering, governance, and AI architecture best practices
• Engage in pre-sales and solutioning activities, helping shape proposals and articulate our technical differentiation

This role can be performed from anywhere in the US.

Required education

Bachelor's Degree

Preferred education

Master's Degree

Required technical and professional expertise
• 8+ years of experience in enterprise architecture, with demonstrated expertise spanning AI/ML, cloud infrastructure, and systems integration
• Hands-on experience designing enterprise AI solutions on Azure, including Azure OpenAI, Azure Machine Learning, and supporting data services
• Strong grounding in platform engineering, infrastructure-as-code (e.g., Terraform, Bicep), and CI/CD pipeline design for AI workloads
• Experience building observability and monitoring solutions for AI/ML systems in production environments
• Proven ability to define and enforce AI governance, responsible AI, and compliance frameworks at enterprise scale
• Comfortable leading design conversations with both technical teams and client stakeholders

Preferred technical and professional experience
• Familiarity with agentic AI architectures, orchestration frameworks (LangChain, Semantic Kernel, AutoGen), and RAG pipeline design
• Experience with Azure data platform services including Microsoft Fabric, Azure Synapse Analytics, and Azure Data Factory
• Knowledge of MLOps practices including model versioning, A/B testing, canary deployments, and feedback loop design
• Background contributing to a consulting practice or Center of Excellence - building frameworks, POVs, and reusable assets
• Azure certifications such as Azure Solutions Architect Expert, Azure AI Engineer Associate, or DevOps Engineer Expert

OTHER RELEVANT JOB DETAILS

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

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.