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Lead Solution Architect AI

Job in Scottsdale, Maricopa County, Arizona, 85261, USA
Listing for: PowerToFly
Full Time position
Listed on 2026-09-09
Job specializations:
  • IT/Tech
    Systems Engineer, AI Engineer (Applied/Software), Cloud Computing: Infrastructure & Operations, Data Engineering
Salary/Wage Range or Industry Benchmark: 141000 - 278000 USD Yearly USD 141000.00 278000.00 YEAR
Job Description & How to Apply Below
Position: Lead Solution Architect with AI Experience

Lead Solution Architect - AI & Engineering/Eaas

Join Deloitte's AI & Engineering practice and help architect, build, and scale technology solutions that transform mission-critical business operations. In this role, you will help clients modernize platforms, accelerate digital innovation, and unlock value through engineering-led transformation across software, data, artificial intelligence, networks, and hybrid cloud. You'll work with cross-functional teams to shape solution strategy, guide implementation, and deliver business outcomes at scale using technologies including Amazon Web Services and generative artificial intelligence platforms.

Recruiting for this role ends on 11/01/2026.

Work you'll do

As a Lead Solution Architect you will be responsible for...

  • Leading solution architecture and engineering efforts for client engagements involving generative artificial intelligence, Amazon Web Services cloud services, data platforms, and enterprise application modernization
  • Translating business, functional, and technical requirements into scalable architecture designs, reference patterns, implementation roadmaps, and delivery plans
  • Guiding engineering teams through solution design, Amazon Bedrock integration, Anthropic Claude implementation, application programming interface strategy, security controls, and production deployment across complex enterprise environments
  • Collaborating with client stakeholders, product owners, data scientists, and delivery leaders to manage priorities, risks, dependencies, and quality throughout the delivery lifecycle
  • Driving engineering-led innovation by identifying opportunities to modernize platforms, operationalize artificial intelligence capabilities, improve operational performance, and accelerate digital product and platform outcomes

A successful candidate would possess these skills:

  • Ability to work independently and collaborate as part of a team
  • Effective written and verbal communication skills
  • Meticulous attention to detail and quality of work product
  • Ability to build and sustain professional relationships
  • Ability to lead projects or work streams
  • Ability to manage and prioritize multiple tasks in a fast-paced and dynamic environment
  • Strong interpersonal skills and professional demeanor
  • Ability to meet deadlines

    Ability to mentor and provide clear guidance to others
The team

Join our AI & Engineering team in transforming technology platforms, driving innovation, and helping make a significant impact on our clients' success. You'll work alongside talented professionals reimagining and re-engineering operations and processes that are critical to businesses. Your contributions can help clients improve financial performance, accelerate new digital ventures, and fuel growth through innovation.

AI & Engineering leverages cutting-edge engineering capabilities to build, deploy, and operate integrated/verticalized sector solutions in software, data, AI, network, and hybrid cloud infrastructure. These solutions are powered by engineering for business advantage, transforming mission-critical operations. We enable clients to stay ahead with the latest advancements by transforming engineering teams and modernizing technology & data platforms. Our delivery models are tailored to meet each client's unique requirements.

Engineering as a Service provides complete design, implementation, and technology operations, leveraging our core engineering expertise. We transform engineering teams, modernize technology, and deliver complex programs with a product engineering approach. Our flexible delivery models-traditional teams, pools, or pods-are tailored to each client's needs, offering engineering-led advisory, implementation, and operational capabilities to accelerate innovation.

Qualifications

Required:

  • Bachelor's degree in Computer Science, Software Engineering, Information Systems, Data Science, Electrical Engineering, or Mathematics
  • 8+ years of experience in software engineering, application architecture, or solution architecture
  • 5+ years of experience leading engineering teams, projects, or work streams for enterprise technology implementations
  • Experience designing and implementing cloud-based solutions…
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