Gen AI Solutions Architect
Client: Toyota Financial Services
Job Title: Gen AI Solution Architect
Contract Duration: 12+ Months
Location: Plano, TX (100% Onsite)
Pay Rate: $90-95/hr on W2
JOB DESCRIPTION
Who we are | Collaborative. Respectful. A place to dream and do. These are just a few words that describe what life is like at Toyota. As one of the world’s most admired brands, Toyota is growing and leading the future of mobility through innovative, high-quality solutions designed to enhance lives and delight those we serve. We’re looking for diverse, talented team members who want to Dream. Do. Grow. with us.
- Collaborate with domain and enterprise architects to translate strategy into application and system designs.
- Design scalable, cloud-native applications and services using modern architecture patterns.
- Lead hands-on solution evaluations, prototypes, and proofs of concept, especially for initiatives involving AI, GenAI, and emerging technologies.
- Make informed architectural trade-offs based on business needs, performance, cost, and long-term maintainability.
- Contribute reusable patterns and documentation that support solution delivery across teams.
- Partner with engineering teams to ensure high-quality implementation aligned to design intent.
- Apply secure-by-design and DevSecOps principles to all architectural solutions.
- Stay informed on trends in cloud services, architecture frameworks, and GenAI tooling.
Requirements:
Qualifications/ What you bring (Must Haves) – Highlight Top 3-5 skills:
- 10+ years of software engineering and architecture experience.
- 3+ years designing application or system architectures (regardless of job title).
- Hands-on experience designing and building cloud-native solutions (preferably on AWS).
- Experience with modern architecture styles: microservices, APIs, event-driven systems.
- Experience integrating or prototyping with AI/ML/GenAI services or platforms.
- Proficiency in one or more languages such as Python, Java, or C#.
- Strong ability to articulate technical solutions, trade-offs, and system behavior to both technical and non-technical stakeholders.
- Exposure to GenAI tools and frameworks (e.g., LLMs, vector databases, prompt orchestration, LangChain, Bedrock).
- Familiarity with AWS AI/ML services (e.g., SageMaker, Bedrock, Comprehend, Lex).
Added bonus if you have (Preferred):
- Experience running architectural evaluations or vendor/tool assessments.
- AWS Solutions Architect certification.
- Financial Services experience.
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