AI Solutions Architect - GenAI/Agentic; Full-stack exp req
Listed on 2026-02-28
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IT/Tech
AI Engineer, Cloud Computing
Location: Metro Detroit, MI (Hybrid; in-office Tue/Wed/Thu)
Salary: $115,000 - $130,000 base + annual bonus (typically 5-15%)
Job Type: Full-Time
Typical
Hours:
M-F, core hours 9 AM – 5 PM (flexible schedule)
Travel: None
Start Date: ASAP
Sponsorship is not available
Relocation assistance is not available
Our client, a well-established creative marketing agency, is seeking an AI Solutions Architect to turn client and internal needs into secure, buildable AI-enabled Mar Tech solutions. In this role, you will be responsible for architecture and planning, paired with rapid prototyping and deployment review of AI/agentic-assisted outputs to ensure quality, security, and maintainability. You’ll lead technical discovery to design AI-enabled Mar Tech solutions and integrations across web apps, APIs, data, and platforms.
To succeed, you must think architecturally, simplify complex technical challenges, and confidently guide both technical and non-technical stakeholders through tradeoffs and decisions. The ideal candidate brings strong full‑stack experience, production‑level GenAI exposure, and the ability to direct AI tools strategically rather than use them as answer engines. This is an exciting opportunity to join a collaborative, tight‑knit agency where innovation is embraced, AI adoption is advanced, and high performers are positioned for broader technical leadership over time.
- Lead technical discovery and convert client needs into buildable solution plans
- Design AI-enabled Mar Tech solutions across web apps, APIs, data, and platforms
- Create architecture diagrams, decision records, and step‑by‑step build guidance
- Use AI-assisted tools to prototype approaches and accelerate solution design
- Review AI-generated code and workflows for quality, security, and scalability
- Build integration approaches across CMS, analytics, automation, and data sources
- Apply safe AI patterns for PII, prompt injection, data leakage, and access control
- Identify AI use cases for automation, personalization, and operational efficiency
- Partner with developers and account teams to keep delivery on track and shippable
- Join client meetings as the technical lead when deeper solution guidance is needed
- 5+ years of full‑stack web systems development or solutions architecture experience required
- Experience designing integrations across platforms and data sources required
- Hands‑on development of web apps, APIs, databases, and architecture experience required
- CMS and analytics platforms experience required
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