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GenAI Architect

Hybrid in Chicago, IL, US • Posted 7 hours ago • Updated 7 hours ago

Contract W2

Contract Corp To Corp

12 Months

No Travel Required

Hybrid

Depends on Experience

Fitment

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Job Details

Skills

Artificial Intelligence
Generative Artificial Intelligence (AI)
Large Language Models (LLMs)
Language Models
LlamaIndex
Machine Learning Operations (ML Ops)
Mentorship
Leadership
LangChain

Summary

Job Title: Gen AI Architect

Location: Chicago, IL - Hybrid (2 days/Week)

Duration: Long-Term Contract

Job Summary

We are seeking an experienced Gen AI Architect to lead the design, development, and deployment of enterprise-scale Generative AI solutions. The ideal candidate will possess deep expertise in Large Language Models (LLMs), AI architecture, cloud platforms, and modern AI frameworks, with a proven track record of delivering scalable and secure AI-driven applications. This role also requires a strong technical leader who can mentor and guide development teams, drive AI adoption, and establish best practices across the organization.

Key Responsibilities

Design and architect end-to-end Generative AI solutions aligned with business objectives.
Lead the implementation of LLM-powered applications using models such as GPT, Claude, Gemini, Llama, and other foundation models.
Develop and optimize Retrieval-Augmented Generation (RAG) architectures, vector databases, and knowledge management solutions.
Define AI governance, security, scalability, and performance best practices.
Collaborate with business stakeholders, product teams, data scientists, and engineering teams to translate requirements into technical solutions.
Evaluate emerging AI technologies and recommend innovative approaches to enhance business capabilities.
Design and implement AI agent frameworks, prompt engineering strategies, and orchestration workflows.
Establish monitoring, observability, and responsible AI practices for production deployments.
Provide technical leadership, architectural guidance, and mentorship to engineering teams.
Mentor developers, AI engineers, and architects by conducting knowledge-sharing sessions, code reviews, design reviews, and technical coaching.
Support team upskilling initiatives and help establish AI development standards and best practices across the organization.
Travel occasionally to client locations based on project and business requirements.

Required Qualifications

Bachelor''''s or Master''''s degree in Computer Science, Artificial Intelligence, Data Science, or a related field.
10+ years of overall software engineering experience with at least 3+ years focused on Generative AI solutions.
Strong expertise in Large Language Models (LLMs), Prompt Engineering, RAG, AI Agents, and Vector Databases.
Hands-on experience with AI frameworks such as LangChain, LlamaIndex, Semantic Kernel, CrewAI, or AutoGen.
Experience working with cloud platforms such as AWS, Azure, or Google Cloud.
Proficiency in Python and modern API/microservices architectures.
Experience integrating AI solutions with enterprise applications and data platforms.
Strong understanding of AI security, governance, and responsible AI principles.
Proven experience leading, mentoring, and developing technical teams.

Preferred Qualifications

Experience with Azure OpenAI, Amazon Bedrock, Vertex AI, or similar AI platforms.
Knowledge of MLOps, model deployment, monitoring, and optimization.
Experience designing enterprise-scale AI architectures in regulated environments.
Relevant AI, cloud, or architecture certifications are a plus.

Skills

Generative AI
Large Language Models (LLMs)
Retrieval-Augmented Generation (RAG)
AI Agents & Agentic AI
Prompt Engineering
LangChain / LlamaIndex / Semantic Kernel
Vector Databases (Pinecone, Weaviate, Chroma, FAISS)
Python
AWS / Azure / Google Cloud Platform
MLOps
Microservices Architecture
AI Governance & Security
Technical Leadership & Mentoring

Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.

Dice Id: 10132070
Position Id: 8999181
Posted 7 hours ago

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