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Artificial Intelligence - AI Architect

• Posted 7 hours ago • Updated 7 hours ago

Full Time

Fitment

Dice Job Match Score™

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Job Details

Skills

Recruiting
Database
Open Source
Scalability
Evaluation
Management
Extract
Transform
Load
Data Architecture
Regulatory Compliance
Privacy
IT Management
Sales
Software Design
Presentations
TensorFlow
PyTorch
scikit-learn
Large Language Models (LLMs)
Transformer
Prompt Engineering
Design Patterns
LangChain
LlamaIndex
Python
TypeScript
Java
Scala
Cloud Computing
Amazon Web Services
Microsoft Azure
Google Cloud Platform
Google Cloud
Machine Learning Operations (ML Ops)
Microservices
Training
Audiovisual
Vector Databases
Customer Facing
Orchestration
Docker
Kubernetes
Risk Management
Health Care
Financial Services
Retail
Generative Artificial Intelligence (AI)
Systems Architecture
Strategic Thinking
Communication
Stakeholder Management
Leadership
Mentorship
Collaboration
Computer Science
Data Science
Software Engineering
Data Engineering
Artificial Intelligence
Machine Learning (ML)

Summary

Position Title: AI Architect

Position Location: Remote - US

***For this role, the hiring manager is seeking an experienced Engineer with a Full Stack history with practical AI Design/Solutioning and Implementation skills***

Job Summary:

The experienced AI Architect with deep expertise in Generative AI will lead the design, development, and deployment of scalable AI solutions for our clients. This role combines strategic advisory capabilities with hands-on architectural leadership across both traditional machine learning and modern generative AI systems.

Essential Functions:

Design and architect end-to-end AI/ML and Generative AI solutions aligned with client business objectives.
Lead development of AI systems including LLM-powered applications, predictive models, and intelligent automation.
Architect RAG (Retrieval-Augmented Generation) pipelines and vector database solutions.

Evaluate, select, and integrate foundation models (e.g., OpenAI, open-source LLMs, fine-tuned models).
Define best practices for AI solution design, scalability, performance, and governance.
Establish standards for prompt engineering, model evaluation, and responsible AI guardrails.
Design and oversee data pipelines, ETL processes, and supporting data architecture.
Collaborate with cross-functional teams (data scientists, engineers, business stakeholders) to deliver solutions.
Ensure compliance with security, privacy, and ethical AI principles.
Provide technical leadership, mentorship, and architectural guidance to project teams.
Support pre-sales and client engagements, including solution design and presentations.
Stay current with emerging AI trends, especially in Generative AI and enterprise adoption patterns.

Required Skills/Abilities/Competencies:

Hands-on experience with Generative AI and LLM-based systems
Strong expertise in:

Machine learning frameworks (TensorFlow, PyTorch, scikit-learn)
Large Language Models (LLMs) and transformer-based architectures
Prompt engineering and RAG design patterns

Experience with GenAI orchestration frameworks (e.g., LangChain, LlamaIndex)
Proficiency in Python and TypeScript (and optionally Java/Scala)
Experience with cloud platforms (AWS, Azure, or Google Cloud) and MLOps/LLMOps practices
Solid understanding of APIs, microservices, distributed systems, and data pipelines
Experience fine-tuning or training foundation models
Familiarity with multimodal AI (text, image, audio, video)
Experience with vector databases (e.g., Pinecone, FAISS, Weaviate)
Background in consulting or client-facing environments
Knowledge of containerization and orchestration (Docker, Kubernetes)
Understanding of AI governance, regulatory considerations, and model risk management
Industry experience in sectors such as healthcare, financial services, or retail
Deep expertise in AI/ML and Generative AI technologies
Strong system architecture and design capabilities
Strategic thinking with the ability to align AI solutions to business outcomes
Excellent communication and stakeholder management skills
Leadership, mentoring, and cross-functional collaboration

Education and Experience:

Bachelor's or Master's degree in Computer Science, Data Science, Engineering, or related field.
At least 7 years of experience in software engineering, data engineering, or AI/ML development.
At least 3 years of experience designing and deploying AI/ML architectures at scale.

Physical Requirements:

Prolonged periods of sitting at a desk and working on a computer.
Must be able to lift up to 15 pounds at times.

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: 10351101
Position Id: 2796
Posted 7 hours ago

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