Lead Solution Architect with AI Experience

PowerToFly; Arizona; On-site; USD 141,000 - 278,000; Full time

Job summary

Deloitte is seeking a Lead Solution Architect in the AI & Engineering practice to architect, build, and scale technology solutions across software, data, AI, networks, and hybrid cloud. You will guide implementations using AWS and generative AI platforms to transform client operations at scale.

As a Lead, you will translate complex requirements into scalable designs, mentor teams, and collaborate with executives to deliver measurable business outcomes.

Qualifications

• Bachelor's degree in CS, software eng, IS, data science, EE, or math.
• 8+ years in software engineering, application or solution architecture.
• 5+ years leading engineering teams on enterprise tech.
• Experience with AWS cloud services incl Bedrock, Lambda, SageMaker, API Gateway.
• Experience architecting generative AI solutions with LLMs, vector DBs, integration patterns.
• Ability to travel ~50% and work in the United States.
• Authorized to work in the United States without sponsorship.

Responsibilities

• Lead solution architecture and engineering for AI/cloud client engagements.
• Translate requirements into scalable architecture designs and roadmaps.
• Guide teams through Bedrock integration, Claude implementation, API strategy, security, and deployment.
• Collaborate with stakeholders to manage priorities, risks, and delivery quality.
• Drive AI-enabled modernization to accelerate platform and product outcomes.

Skills

Cloud architecture

Generative AI

AWS cloud services

Leadership

Stakeholder comms

Project management

Independent work

Education

Bachelor's degree

Master's degree

Tools

Amazon Bedrock

Anthropic Claude

API Gateway

AWS Lambda

SageMaker

Job description

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 workstreams
• Ability to manage and prioritize multiple tasks in a fast-paced and dynamic environment
• Strong interpersonal skills and professional demeanor
• Ability to meet deadlinesAbility 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 workstreams for enterprise technology implementations
• Experience designing and implementing cloud-based solutions using Amazon Web Services, including Amazon Bedrock, AWS Lambda, Amazon SageMaker, Amazon API Gateway, or container-based services
• Experience architecting generative artificial intelligence solutions using large language models, prompt orchestration, retrieval-augmented generation, vector databases, and enterprise integration patterns
• Ability to travel 50%, on average, based on the work you do and the clients and industries/sectors you serve.
• Must be legally authorized to work in the United States without the need for employer sponsorship, now or at any time in the future.

Preferred:

• Master's degree in Computer Science, Software Engineering, Information Systems, Data Science, Electrical Engineering, or Mathematics
• Experience delivering technology transformation programs in a consulting or professional services environment
• Experience implementing Anthropic Claude through Amazon Bedrock or application programming interface integration in enterprise environments
• Experience with model evaluation, observability, guardrails, and security controls for production artificial intelligence deployments
• AWS certification such as AWS Certified Solutions Architect, AWS Certified AI Practitioner, or AWS Certified Machine Learning Engineer
• Experience presenting architecture recommendations, delivery status, and technical tradeoffs to executive stakeholders

The wage range for this role takes into account the wide range of factors that are considered in making compensation decisions including but not limited to skill sets; experience and training; licensure and certifications; and other business and organizational needs. The disclosed range estimate has not been adjusted for the applicable geographic differential associated with the location at which the position may be filled. At Deloitte, it is not typical for an individual to be hired at or near the top of the range for their role and compensation decisions are dependent on the facts and circumstances of each case. A reasonable estimate of the current range is $141,200 to $278,300.

You may also be eligible to participate in a discretionary annual incentive program, subject to the rules governing the program, whereby an award, if any, depends on various factors, including, without limitation, individual and organizational performance.