Microsoft Agentic AI Developers - C2

Capgemini

Nashville (TN)

On-site

USD 51,000 - 80,000

Full time

41 hours ago
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Job summary

Capgemini is seeking Microsoft Agentic AI Developers (Contract) to design and build single-agent and multi-agent AI systems using Agentic AI patterns. You will implement reasoning, planning, tool calls, and autonomous task execution, with memory strategies and Azure-based AI services.

The role requires expertise in Python/C#, RAG architectures, vector databases, and frameworks like Semantic Kernel, LangGraph, AutoGen, and CrewAI.

Qualifications

  • Strong proficiency in Python and/or C#.
  • Hands-on experience with Azure OpenAI Service.
  • Experience with RAG architectures and vector databases.
  • Knowledge of Agentic AI concepts: agents, tools, memory, orchestration.
  • Experience with Semantic Kernel, LangGraph, AutoGen, CrewAI, or similar frameworks.
  • Solid understanding of LLMs, prompt engineering, and structured outputs (JSON).

Responsibilities

  • Design and implement single-agent and multi-agent AI systems using Agentic AI patterns (Planner/Worker/Reviewer, ReAct, Plan-Execute).
  • Build AI agents that can reason, plan, call tools, retrieve enterprise knowledge, and execute tasks autonomously.
  • Develop agent memory strategies (short-term, long-term, vector-based).
  • Develop solutions using Azure OpenAI, Azure AI Foundry, Azure AI Search, and Azure Functions / App Services.
  • Implement RAG pipelines using embeddings and vector databases.
  • Integrate AI agents with enterprise systems, APIs, databases, and workflows.
  • Orchestrate AI agents using frameworks such as Semantic Kernel, LangGraph, AutoGen, or equivalent.
  • Design agent communication, hand-offs, error handling, and state management.
  • Implement human-in-the-loop workflows, approvals, and guardrails.
  • Responsible AI & Governance: explainability, monitoring, safety, data security.

Skills

Python
C#
Azure OpenAI
RAG architectures
Vector databases
Agentic AI
Semantic Kernel
LangGraph
AutoGen
CrewAI
LLM prompts
APIs
CI/CD
Cloud-native

Tools

Azure OpenAI Service
Azure OpenAI
Semantic Kernel

Job description

Microsoft Agentic AI Developers - C2 (Contract)

Contract (3 months 15 days)

Published 2 days ago

software engineering

C# Programming

State management

DevOps & CI/CD

Python

Vector DB

Key Responsibilities:

Agentic AI Design & Development:

Design and implement single-agent and multi-agent AI systems using Agentic AI patterns (Planner/Worker/Reviewer, ReAct, Plan-Execute).

Build AI agents that can reason, plan, call tools, retrieve enterprise knowledge, and execute tasks autonomously.

Develop agent memory strategies (short-term, long-term, vector-based).

Develop solutions using Azure OpenAI, Azure AI Foundry, Azure AI Search, and Azure Functions / App Services.

Implement RAG (Retrieval-Augmented Generation) pipelines using embeddings and vector databases.

Integrate AI agents with enterprise systems, APIs, databases, and workflows.

Multi-Agent Orchestration:

Orchestrate AI agents using frameworks such as Semantic Kernel, LangGraph, AutoGen, or equivalent.

Design agent communication, hand-offs, error handling, and state management.

Implement human-in-the-loop workflows, approvals, and guardrails.

Responsible AI & Governance:

Apply Responsible AI principles, including explainability, monitoring, safety, and data security.

Ensure compliance with enterprise and healthcare data standards.

Implement logging, observability, and feedback loops for agent performance.

Collaborate with product managers, architects, and domain SMEs to translate business workflows into Agentic AI solutions.

Contribute to internal Agentic AI accelerators, reusable components, and best-practice documentation.

Support developer enablement and adoption programs for Agentic AI.

Required Skills & Qualifications:

Technical Skills:

Strong proficiency in Python and/or C#

Hands-on experience with Azure OpenAI Service

Experience with RAG architectures and vector databases

Knowledge of Agentic AI concepts: agents, tools, memory, orchestration

Experience with Semantic Kernel, LangGraph, AutoGen, CrewAI, or similar frameworks

Solid understanding of LLMs, prompt engineering, and structured outputs (JSON)

Software Engineering:

Strong fundamentals in software design, APIs, async processing, and error handling

Experience building production-grade, secure, scalable applications

Familiarity with CI/CD, DevOps, and cloud-native development

The pay range that the employer in good faith reasonably expects to pay for this position is $36.98/hour - $57.79/hour. Our benefits include medical, dental, vision and retirement benefits. Applications will be accepted on an ongoing basis.

Tundra Technical Solutions is among North America's leading providers of Staffing and Consulting Services. Our success and our clients’ success are built on a foundation of service excellence. We are an equal opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other applicable legally protected characteristic. Qualified applicants with arrest or conviction records will be considered for employment in accordance with applicable law, including the Los Angeles County Fair Chance Ordinance for Employers and the California Fair Chance Act. Unincorporated LA County workers: we reasonably believe that criminal history may have a direct, adverse and negative relationship with the following job duties, potentially resulting in the withdrawal of a conditional offer of employment: client provided property, including hardware (both of which may include data) entrusted to you from theft, loss or damage; return all portable client computer hardware in your possession (including the data contained therein) upon completion of the assignment, and; maintain the confidentiality of client proprietary, confidential, or non-public information. In addition, job duties require access to secure and protected client information technology systems and related data security obligations.

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