AI Program Architect

About the Role

Key Responsibilities

• Joint definition, alignment & governance for architecture elements of various AI product offerings with DI SW technical leaders across business segment and T&I.
• Stay on top of dynamically evolving AI technology landscape & apply learnings and adoption into product architecture definition & governance.
• Collaborate & Support Segment Product teams for realization of AI offerings.
• Coordinate & Drive identification and rationalization of AI technology synergies across segment product teams, to minimize and eliminate duplication.
• Coordinate and provide support, guidance, scoping, planning & execution of proof-of-concepts as required.
• Own & Drive updating technology content of cross-business Inventory of all AI capabilities.
• Coordinate technical support to sales, pre-sales & services in partnership with business segments.
• Support technical interactions & engagement with Partners (e.g., hyperscalers such as AWS, Microsoft).
• Act as the DI SW Technical Representative on the ONE Tech Data & AI Track and help influence the technology services direction to the needs of DI SW product teams.

Requirements

• Strong architectural background.
• Strong technical understanding & hands-on experience in technology concepts such as Cloud, multi-tier distributed architecture, enterprise software, SaaS and AI.
• Ability to work autonomously on multiple highly sophisticated projects simultaneously.
• Able to connect and collaboratively work across multiple teams.
• Able to optimally connect with senior management and corporate level customers.
• Outstanding verbal, written, presentation, facilitation, and interaction skills.
• Bachelor's Degree in Computer Science, Engineering, or other STEM discipline supplemented with real world programming & architecture experience.
• 15+ years of Software Development and Design Engineering experience.
• 10+ years of experience in defining complex software architectures.
• 5+ years of experience in developing and implementing Microservices.
• 5+ years of proficiency in developing and deploying cloud-based solutions leveraging at least one of the hyper-scalers (AWS, Azure, others), Containerization, DevOps.
• 5+ years of cross organization engagement & ability to interface with internal and external customers of varying technical abilities.

Nice to Have

• Understanding of evolving AI technologies - Generative, LLMs, RAG, Agents, Agent Frameworks.
• Understanding and experience of modern enterprise data & integration architectural patterns.
• Working knowledge & experience in some of PLM, ALM, MBSE, EDA, MOM software.
• Deep industrial knowledge and experience in one or more sectors; Enterprise / IT, PLM, OT.

Qualifications

• Bachelor's Degree in Computer Science, Engineering, or other STEM discipline.

Benefits & Perks

• Salary range of $151,300 to $272,400 with incentive compensation.
• Great benefits and rewards.
• Flexible work environment with options to work at home and in the office.
• Health and wellness benefits.
• Paid sick leave, paid parental leave, PTO or flexible vacation.
• Diverse and inclusive workplace.