AI Solutions Delivery Architect

Pluralsight
$148,200 - $195,000Hybrid

About The Position

The AI Solutions Delivery Architect is a senior technical practitioner responsible for designing, evaluating, and enabling AI-powered solutions that accelerate organizational transformation. Working at the intersection of business strategy, process improvement, and emerging technology, this role bridges the gap between transformation ambitions and practical AI implementation; ensuring solutions are grounded in redesigned processes, built for adoption, and optimized for measurable impact. The AI Solutions Architect serves as a resident expert on AI capabilities, platforms, and deployment patterns, partnering closely with business functional leaders, Engineering, and IT to move the organization from AI curiosity to AI fluency.

Requirements

  • 12+ years of experience as a business solutions architect.
  • Demonstrated experience designing and deploying AI or automation solutions in an enterprise setting
  • Experience working within a management consulting firm or internal transformation/strategy function
  • Strong understanding of AI concepts, generative AI, RPA, and intelligent automation platforms
  • Familiarity with process improvement methodologies (Lean, Six Sigma, BPR) and their relationship to automation readiness
  • Proven ability to translate complex technical concepts for non-technical audiences
  • Hands-on experience with large language models (LLMs), AI orchestration tools, or agentic AI systems
  • Familiarity with data platforms, APIs, and integration patterns that support AI deployment at scale
  • Experience in a matrixed or multi-site organization with cross-functional stakeholder complexity
  • Relevant certifications in AI, cloud platforms (AWS, Azure, GCP), or automation technologies

Responsibilities

  • Design end-to-end AI solution architectures for transformation initiatives, from process automation to intelligent decision support
  • Evaluate and recommend AI platforms, tools, and vendors aligned to business requirements and enterprise standards
  • Partner with process owners to ensure workflows are redesigned and optimized before AI is applied
  • Develop reusable solution patterns and reference architectures that accelerate future AI deployments
  • Conduct structured assessments across business functions to surface high-value AI automation and augmentation opportunities
  • Prioritize initiatives using a value and feasibility framework, building a portfolio of AI use cases tied to the transformation roadmap
  • Analyze data environments, systems, and process maturity to determine AI readiness and identify prerequisites
  • Collaborate with the CTO, CFO and functional leaders to sequence AI investments for maximum business impact
  • Lead or co-lead the technical delivery of AI AI solutions, working alongside IT, vendors, and functional teams from pilot to scale
  • Define success metrics, testing approaches, and performance baselines for each AI deployment
  • Develop training, documentation, and enablement resources to drive effective adoption of AI tools across teams
  • Support change management efforts by helping employees understand, trust, and work effectively alongside AI systems

Benefits

  • competitive compensation
  • bonus eligibility
  • comprehensive medical coverage
  • unlimited PTO
  • wellness reimbursement
  • professional development funds
© 2026 Teal Labs, Inc
Privacy PolicyTerms of Service