Overview
Remote
Depends on Experience
Contract - W2
Skills
GenAI
AI/ML
agenticAI
Google ADK
AI solution architectures
Job Details
W2 -- Urgent Need -- GenAI Solution Lead -- 100% Remote in USA
A Solution architect that plays a role as below:
- Works with various Corp Finance teams and identify/discover the right GenAI use cases
- Analyse and identify right technology for those use cases(Agentic AI, GenAI, AI/ML, Automation, etc)
- Help to build business case with ROI for AT&T leadership review
- Design and Build implementation strategy/roadmap, How to implement using various agenticAI framework such as Langraph, Google SDK etc.
AI Solution Architect Role Overview
Key Responsibilities and Preferred Qualifications
Role Overview
Analyze business use cases and design detailed AI solution architectures. Collaborate with stakeholders to understand requirements, evaluate technical feasibility, and create comprehensive architecture diagrams along with actionable deliverables that guide developers in implementing AI-driven solutions effectively.
Key Responsibilities
- Engage with business and technical teams to review and understand AI use cases and requirements.
- Analyze use cases to identify AI/ML opportunities and technical challenges.
- Design scalable, secure, and efficient AI solution architectures tailored to specific use cases.
- Develop detailed architecture diagrams and documentation illustrating solution components, data flows, integrations, and deployment models.
- Provide clear, actionable deliverables and technical guidance for developers to implement the solutions.
- Recommend appropriate AI technologies, frameworks, and agent development kits (e.g., Google ADK, Crew AI, LangGraph, OpenAI ADK) to meet use case needs.
- Ensure architectures incorporate Responsible AI principles, role-based access control (RBAC), and data privacy/security considerations.
- Continuously evaluate emerging AI technologies and best practices to improve solution designs.
- Provide technical training and support on AI architecture and solution design as needed.
Preferred Qualifications
- Experience with financial or SOX-sensitive data environments.
- Certifications in AI architecture or cloud technologies.
- Experience with enterprise AI deployments and governance.
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