AWS Senior Solution Architect

Capgemini; Charlotte (NC); On-site; USD 5,572,000 - 8,706,000; Full time

Benefits offered by this job

Medical benefits

Dental benefits

Vision benefits

Retirement plan

Job summary

Tundra Technical Solutions in Charlotte, NC seeks an AWS Senior Solution Architect (Contract) to lead enterprise-scale agentic AI solutions. The role requires guiding architecture, development teams, and delivering scalable, secure AI systems leveraging LLMs and multi-agent frameworks.

The ideal candidate brings 10+ years in software/AI, strong Python skills, and hands-on experience with LLM ecosystems and distributed architectures. On-site role with a two-month contract.

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.

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

Experience

Python

LLM ecosystems

Architectural design

Team leadership

Security & governance

Prompt engineering

Distributed architectures

Tools

LangChain

Semantic Kernel

AutoGen

CrewAI

Azure OpenAI

OpenAI

Pinecone

FAISS

Azure AI Search

OAuth / SSO

Job description

AWS Senior Solution Architect (Contract)

Charlotte, NC, United States (On-site)

Contract (2 months 28 days)

Published 2 days ago

MLOps/LLMOps

AI Frameworks

AI Security & Governance

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 $40.45/hour - $63.20/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.