Agentic AI Engineer — Claude-Powered Orchestration

Deloitte France; Philadelphia (Philadelphia County); Presencial; USD 91.000 - 180.000; Jornada completa

Descripción de la vacante

Deloitte is seeking an AI & Data Engineer II to design, develop, and deliver agentic AI solutions using Claude models. You will lead client workstreams, architect multi-agent workflows, and mentor teams to production deployments.

The role requires strong Python development, hands-on Claude experience, and the ability to travel up to 50%. You will partner with clients to implement responsible AI practices and modernize data platforms.

Formación

• 3+ years of experience designing, developing, and delivering AI/ML solutions.
• 2+ years of hands-on experience developing AI/ML applications in Python.
• At least 1 year of direct experience designing or implementing production agentic workflows (or equivalents) such as orchestration, tool integration, state management, evaluation, guardrails, and human-in-the-loop controls.
• At least six months of hands-on experience developing agentic AI solutions using the Claude Agent SDK, including agent orchestration, tool integration, permissions, or MCP integrations.
• At least six months of hands-on experience developing and deploying production solutions using Anthropic Claude models through the native Anthropic API or a supported cloud platform.
• At least six months of experience applying prompt engineering, context engineering, structured outputs, and related techniques to improve performance, reliability, and usability of AI solutions.
• 1+ years of experience leading project workstreams or engagements.
• Bachelor’s or Master’s degree in Computer Science, Engineering, Data Science, AI, or a related field.
• Ability to travel up to 50% on average, based on the work you do and the clients and industries/sectors you serve.
• Limited immigration sponsorship may be available
• Preferred: Experience in consulting or other client-facing delivery roles.
• Experience using Claude Cowork to support enterprise workflows, automation, research, or other knowledge-work use cases.
• Hands-on experience using Claude through one or more: Azure AI Foundry, Amazon Bedrock, Google Vertex AI, or the native Anthropic API.
• Experience with multi-agent systems, MCP integrations, agent evaluation, observability, safety controls, or production governance.
• Certifications such as Claude Certified Architect - Professional (CCAR-P), Claude Certified Architect - Foundations (CCAR-F), Claude Certified Developer - Foundations (CCDV-F).
• Cloud certifications - AWS, Azure, or Google Cloud
• Experience creating client workshop collateral and leading interactive working sessions.
• Experience presenting technical content to both large and small audiences.

Responsabilidades

• Act as the primary technical lead for client workstreams.
• Design and build Generative AI and agentic solutions using Claude, including orchestration and MCP integrations.
• Deliver components of client engagements from design through production rollout.
• Lead small teams through requirements, design, and support-model definition.
• Monitor progress, identify variances, and drive corrective action.
• Identify risks and mitigations to protect delivery.
• Maintain clear communication with client stakeholders and engagement leadership.
• Deploy on engagements involving agentic AI, RAG, and orchestration.

Conocimientos

Communication skills

Team collaboration

Project leadership

Python

Educación

Bachelor’s or Master’s degree in CS/Engineering/Data Science/AI

Herramientas

Claude Agent SDK

Claude Cowork

Anthropic API

Azure AI Foundry

Bedrock

Vertex AI

AWS

Descripción del empleo

Deloitte is seeking an AI & Data Engineer II to design, develop, and deliver agentic AI solutions using Claude models. You will lead client workstreams, architect multi-agent workflows, and mentor teams to production deployments.

The role requires strong Python development, hands-on Claude experience, and the ability to travel up to 50%. You will partner with clients to implement responsible AI practices and modernize data platforms.