Your role and responsibilities

Thought Leadership & Technical Direction
• Set the architectural vision and direction for AI engagements, establishing design standards and reusable patterns that elevate the quality and speed of delivery
• Lead architecture design workshops and strategy sessions with client stakeholders, including executive and technical audiences
• Serve as a trusted advisor to clients on Azure AI capabilities, use case prioritization, and technology roadmap development
• Mentor delivery team members and contribute to practice development through knowledge sharing and asset creation

End-to-End Azure AI Architecture
• Define and govern complete Azure AI architectures spanning Azure OpenAI Service, Azure Machine Learning, and enterprise data platforms
• Design solutions that are scalable, secure, cost-optimized, and aligned to enterprise architecture standards from inception
• Map AI use cases to measurable business value, ensuring that prioritization decisions are grounded in ROI and strategic fit
• Develop reference architectures, integration patterns, and technical blueprints that accelerate delivery across the engagement

Governance, Security & Enterprise Standards
• Embed responsible AI practices, data governance, and compliance requirements into every architectural decision
• Define guardrails, monitoring standards, and audit frameworks to ensure AI solutions are observable, trustworthy, and maintainable at scale
• Ensure alignment with enterprise security posture including identity, access management, data residency, and regulatory requirements
• Establish operating model standards for AI deployment, support, and lifecycle management across the platform

Client Engagement & Delivery
• Engage directly and continuously with client stakeholders, translating complex technical architecture into clear business terms
• Collaborate across data engineering, application, and business teams to drive seamless end-to-end delivery
• Identify and manage technical risks proactively, surfacing tradeoffs and recommended mitigations clearly and early

This job can be performed from anywhere in the U.S.

Required education

Bachelor's Degree

Preferred education

Master's Degree

Required technical and professional expertise

Required Skills & Experience
• 8+ years of experience in enterprise or solution architecture, with 3+ years focused on AI/ML solutions
• Deep, hands-on expertise with Azure AI services including Azure OpenAI Service, Azure Machine Learning, and Azure AI Studio
• Proven track record defining and governing end-to-end AI architectures at enterprise scale
• Strong grounding in enterprise data platforms, cloud-native design principles, and integration architecture
• Experience in a client-facing consulting or professional services environment with direct executive stakeholder engagement
• Excellent communication and facilitation skills - able to lead design sessions and present recommendations with confidence

Preferred technical and professional experience

Preferred Skills
• Experience with agentic AI frameworks (LangChain, AutoGen, Semantic Kernel) and RAG pipeline design
• Familiarity with Azure data services including Microsoft Fabric, Azure Synapse Analytics, and Azure Data Factory
• Knowledge of AI governance frameworks, responsible AI principles, and enterprise risk management practices
• Azure certifications such as Azure Solutions Architect Expert or Azure AI Engineer Associate

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.