Agentic AI Architect

Capgemini; Charlotte (NC); On-site; USD 58,000 - 91,000; Full time

Benefits offered by this job

Medical insurance

Dental insurance

Vision insurance

Retirement benefits

Job summary

Tundra Technical Solutions seeks an experienced Agentic AI Architect to lead enterprise-scale AI designs and implementations. You will shape end-to-end architectures, guide teams, and ensure scalable, secure AI systems leveraging LLMs and multi-agent frameworks.

You will drive RAG pipelines, embeddings, and integration layers across CRM, ERP, and data platforms while upholding governance and cost optimization. This is a hands-on leadership role requiring strong Python and cloud experience.

Qualifications

• 10+ years of experience in software engineering, AI/ML, or solution architecture.
• Strong expertise in Python and modern backend architectures.
• Hands-on experience with LLM ecosystems and agent frameworks.
• Proven experience designing multi-agent systems and distributed architectures.
• Deep understanding of: Prompt engineering and LLM optimization.
• Embeddings and vector databases (FAISS, Pinecone, Azure AI Search, etc.).
• Retrieval-Augmented Generation (RAG).
• Experience with cloud platforms (Azure preferred, AWS/GCP acceptable).
• Strong knowledge of API design, microservices, and event-driven architecture.
• Familiarity with security, authentication (OAuth, SSO), and data governance.
• Experience leading technical teams and driving architecture decisions.

Responsibilities

• Define end-to-end architecture for agentic AI solutions, including multi-agent systems, orchestration layers, and integrations.
• Design and implement scalable agent frameworks using LangChain, Semantic Kernel, AutoGen, CrewAI, etc.
• Lead development of LLM-driven systems with robust prompting strategies.
• Architect RAG pipelines, memory systems, and tool integration layers.
• Establish best practices for AI governance, security, and Responsible AI.
• Design integration strategies with enterprise systems (CRM, ERP, APIs, data platforms).
• Provide technical leadership, mentorship, and code quality oversight to development teams.
• Collaborate with business stakeholders to translate requirements into technical solutions.
• Ensure performance, scalability, reliability, and cost optimization of AI systems.
• Drive innovation by evaluating emerging AI technologies and frameworks.

Skills

Python

LLM ecosystems

Multi-agent systems

Distributed architectures

Tools

LangChain

Semantic Kernel

AutoGen

CrewAI

Azure OpenAI

Job description

We are looking for a highly experienced Agentic AI Architect to lead the design and implementation of enterprise-scale agentic AI solutions. This role will be responsible for defining architecture, guiding development teams, and ensuring scalable, secure, and high-performing AI systems that leverage LLMs, multi-agent frameworks, and enterprise integrations.

The ideal candidate combines deep technical expertise in AI/ML with strong architectural design skills and experience delivering complex, production-grade AI solutions.

Key Responsibilities:

Define end-to-end architecture for agentic AI solutions, including multi-agent systems, orchestration layers, and integrations

Design and implement scalable agent frameworks using technologies such as LangChain, Semantic Kernel, AutoGen, CrewAI, etc.

Lead development of LLM-driven systems (Azure OpenAI, OpenAI, Anthropic, etc.) with robust prompting strategies

Architect RAG pipelines, memory systems, and tool integration layers

Establish best practices for AI governance, security, and Responsible AI

Design integration strategies with enterprise systems (CRM, ERP, APIs, data platforms)

Provide technical leadership, mentorship, and code quality oversight to development teams

Collaborate with business stakeholders to translate requirements into technical solutions

Ensure performance, scalability, reliability, and cost optimization of AI systems

Drive innovation by evaluating emerging AI technologies and frameworks

Required Skills & Experience:

10+ years of experience in software engineering, AI/ML, or solution architecture

Strong expertise in Python and modern backend architectures

Hands-on experience with LLM ecosystems and agent frameworks

Proven experience designing multi-agent systems and distributed architectures

Deep understanding of:

Prompt engineering and LLM optimization

Embeddings and vector databases (FAISS, Pinecone, Azure AI Search, etc.)

Retrieval-Augmented Generation (RAG)

Experience with cloud platforms (Azure preferred, AWS/GCP acceptable)

Strong knowledge of API design, microservices, and event-driven architecture

Familiarity with security, authentication (OAuth, SSO), and data governance

Experience leading technical teams and driving architecture decisions

Good to Have:

Experience with Model Context Protocol (MCP) or similar integration standards

Exposure to enterprise AI transformation programs

Knowledge of MLOps / LLMOps frameworks

Experience with frontend or conversational UI frameworks

Certifications (Azure AI Engineer, Solutions Architect, etc.)

The pay range that the employer in good faith reasonably expects to pay for this position is $41.61/hour - $65.01/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.