AI Agentic Architect with GCP

Position Title: AI Agentic Architect with GCP
Location: Remote
Duration: 6 Months Contract

Primary Responsibilities:
Build and deploy AI-powered solutions, including LLM-based workflows, copilots, and automation tools in client environments.
Implement integrations between AI models, APIs, and enterprise healthcare systems.
Translate defined solution designs into high-quality, production-ready code.
Contribute to end-to-end delivery by supporting development, testing, and deployment activities.

Hands-on Engineering:
Work with distributed systems and cloud platforms to support scalable, reliable deployments.
Assist with data preparation, prompt configuration, and model integration for AI-driven solutions.
Support technical discussions and working sessions with client stakeholders.
Help execute on defined project plans, timelines, and deliverables.
Contribute to iterative development cycles, incorporating client and team feedback.

Collaboration & Translation:
Translate technical requirements into actionable development tasks.
Support alignment between technical implementation and client expectations.

Documentation & Knowledge Transfer:
Document solution components, integration points, and deployment processes.
Support knowledge transfer to client technical teams to enable adoption and sustainability.
Contribute to reusable implementation patterns, assets, and playbooks.

Success Measures:
Demonstrates strong execution in translating requirements into working systems.
Communicates clearly within teams and supports client delivery activities.
Builds capability in both technical implementation and client engagement over time.

Required Qualifications:
Bachelor's or Master's degree in Computer Science, Engineering, Data Science, or related field.
Demonstrated experience working in client-facing engagements, including partnering directly with stakeholders.
Experience working with APIs, data pipelines, or distributed systems.
Familiarity with cloud platforms.
Demonstrated ability to work effectively in client-facing delivery environments.
Demonstrated ability to execute against defined requirements and evolving priorities.

Preferred Qualifications:
Master's degree in a technical discipline.
Demonstrated solid execution focus with attention to detail and code quality.
Willingness to take ownership of assigned components and deliver reliably.
Continuous learning mindset, particularly in AI and emerging technologies.