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AI Architect - Copilot & Agentic AI
Atos
Irving, USA
Senior · 10+ years experience
Discovered 2 weeks ago
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What will you be doing:
Architecture & Strategy (AI / Agentic AI)
· Define the overall solution architecture for enterprise agentic AI programs and create the target-state roadmap
· Establish AI architecture standards, reference patterns, and governance guidelines for adoption at scale.
· Design architecture across LLMs/frameworks, vector databases, and cloud deployments, including Responsible AI practices.
Autonomous Agent Design & Orchestration (Copilot-led)
· Architect and enable autonomous agent workflows using GitHub Copilot, including multi-step orchestration and enterprise guardrails.
· Define a framework for prompt libraries, guardrails, extensions/integrations, and productivity metric tracking for Copilot adopt
· Drive repeatable implementation approach and best practices for Copilot-based engineering interventions and productivity tracking
· Enable Copilot-driven acceleration from design artifacts (e.g., Figma requirement sheets) to boilerplate code and supporting assets, where applicable.
· Establish patterns for agent-assisted testing and a roadmap toward autonomous testing where feasible (e.g., test case generation, script automation, regression maintenance).
Prompt Engineering Excellence
· Own enterprise prompt strategy including Zero-shot / Few-shot / Chain-of-Thought prompting techniques and prompt governance.
· Create reusable prompt frameworks/cookbooks, templates, and standards for consistent outcomes across teams.
RAG + Model/Tool Orchestration (Python-led)
· Architect and govern RAG pipelines, knowledge grounding approaches, and multi-turn agent orchestration using frameworks such as LangChain (or equivalent).
· Provide hands-on guidance for implementation in Python, including reference implementations and integration patterns.
Requirements/Functional Skills:
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