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Atos

Global IT services, consulting, digital transformation

AI Architect - Copilot & Agentic AI

AI Application EngineeringUpdated on Nov 14
Full-timeIrving, TX, USA$105k - $135kIn-person

About the Job

Requirements

  • Proven experience as an AI Architect defining enterprise AI architecture, standards, and governance.
  • Hands-on experience designing and building agent-based approaches and autonomous workflows.
  • Strong expertise in prompt engineering, including zero-shot, few-shot, and chain-of-thought techniques, and prompt design.
  • Strong Python development experience and ability to guide teams with reference implementations.
  • Experience with RAG, vector databases, and cloud deployments.
  • Practical experience with GitHub Copilot adoption patterns, including guardrails, prompt library management, extensions, and metrics.
  • At least 10 years of architecture experience and at least 3 years in AI solutions.
  • Experience defining enterprise AI architecture, standards, and governance.
  • Hands-on experience implementing Microsoft or GitHub Copilot and designing agentic AI solutions.

Responsibilities

  • 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 large language models and frameworks, vector databases, and cloud deployments, including Responsible AI practices.
  • Architect and enable autonomous agent workflows using GitHub Copilot, including multi-step orchestration and enterprise guardrails.
  • Define a framework for prompt libraries, guardrails, extensions and integrations, and productivity metric tracking for Copilot adoption.
  • Drive repeatable implementation approaches and best practices for Copilot-based engineering interventions and productivity tracking.
  • Enable Copilot-driven acceleration from design artifacts, such as 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, including test-case generation, script automation, and regression maintenance.
  • Own enterprise prompt strategy, including zero-shot, few-shot, and chain-of-thought prompting techniques and prompt governance.
  • Create reusable prompt frameworks and cookbooks, templates, and standards for consistent outcomes across teams.
  • Architect and govern retrieval-augmented generation 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.

Desired Qualifications

  • Experience designing enterprise adoption frameworks for Copilot or AI, including change management and champion models.
  • Experience building Copilot-led accelerators for engineering productivity and rapid prototyping.
  • Knowledge of AI governance requirements and productionization practices.

About the Company

Atos

Global IT services, consulting, digital transformation

Atos is a global IT services and consulting firm that helps big companies and governments run and improve their digital systems. It offers services like cloud computing, cybersecurity, big data, and digital transformation, delivering these through consulting, system integration, outsourcing, and managed services to keep complex IT environments functioning smoothly. What sets Atos apart is its long history of growth by acquiring other firms, building a wide footprint across Europe and North America, and combining diverse capabilities into one large service provider. After a period of financial restructuring to reduce debt, Atos is focused on stabilizing its finances and returning to growth and more acquisitions by 2026.

Company size
10,001+
Company stage
IPO
Headquarters
Bezons, France
Founded
1997

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