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Akkodis Group Nordics · 1 day ago

Enterprise Architect

McLean, VA

Full-time

Onsite

Senior Level, Lead/Staff

$75/hr - $80/hr

10+ years exp

Akkodis Group Nordics is seeking an Enterprise Architect for a contract with a client in McLean, VA. The role involves defining and owning the enterprise AI architecture and standards, leading AI strategy, and driving end-to-end solution delivery in cloud environments primarily using Python.

Embedded SystemsSoftware

Responsibilities

Define and own the enterprise AI architecture and standards, setting the technical vision for large-scale AI programs across cloud environments

Design and govern AI solutions leveraging large language models (LLMs), vector databases, and RAG/agent-based approaches, ensuring scalability, security, and performance

Lead Responsible AI strategy and execution, establishing guidelines for fairness, transparency, compliance, and model governance

Drive end-to-end solution delivery—from requirements and design to cloud-native development, deployment, and integration—primarily using Python (and C where applicable)

Enable and mentor engineering teams in prompt engineering (zero/one/few-shot, chain-of-thought), LangChain- or framework-based pipelines, and multi-cloud (AWS, Azure, GCP) AI services

Establish integration patterns and UI frameworks for AI applications, optimizing data pipelines, embeddings, and inference while enforcing architecture best practices

Qualification

Large Language ModelsCloud DeploymentsPythonVector DatabasesAI FrameworksMulti-cloud IntegrationPrompt EngineeringRAG StrategiesSoftware Architecture

Required

Bachelor's or master's degree in computer science, Artificial Intelligence, Data Science, or a related field

Minimum 10+ years in software architecture and development, with at least 5+ years focused on AI/ML solutions and enterprise architecture

Proven expertise in large language models (LLMs), AI frameworks, and vector databases, with hands-on experience in cloud deployments (AWS, Azure, GCP)

Strong proficiency in Python and experience in developing AI applications, including prompt engineering, RAG, and multi-cloud integration strategies