AI Architect

Converge

Location: Remote - US
Workplace: Remote
Employment: Full Time
Salary: —

Posted 2mo ago

The employer’s full description could not be read from their board. This is a summary of the posting — follow the apply link for the original.

Responsibilities

Design and architect end-to-end AI/ML and Generative AI solutions
Lead development of AI systems including LLM-powered applications
Architect RAG pipelines and vector database solutions
Evaluate, select, and integrate foundation 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
Ensure compliance with security, privacy, and ethical AI principles
Provide technical leadership, mentorship, and architectural guidance
Support pre-sales and client engagements
Stay current with emerging AI trends

Requirements

Hands-on experience with Generative AI and LLM-based systems
Experience with Machine learning frameworks (TensorFlow, PyTorch, scikit-learn)
Experience with Large Language Models (LLMs) and transformer-based architectures
Experience with Prompt engineering and RAG design patterns
Experience with GenAI orchestration frameworks (e.g., LangChain, LlamaIndex)
Proficiency in Python
Proficiency in TypeScript
Experience with cloud platforms (AWS, Azure, or Google Cloud)
Experience with MLOps/LLMOps practices
Solid understanding of APIs
Solid understanding of microservices
Solid understanding of distributed systems
Solid understanding of 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
Knowledge of 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
7+ years of experience in software engineering, data engineering, or AI/ML development
3+ years of experience designing and deploying AI/ML architectures at scale

Preferred

optionally Java/Scala

Skills

Generative AI
LLM
TensorFlow
PyTorch
scikit-learn
LangChain
LlamaIndex
Python
TypeScript
Java
Scala
AWS
Azure
Google Cloud
MLOps
LLMOps
APIs
Microservices
Distributed systems
Data pipelines
Multimodal AI
Pinecone
FAISS
Weaviate
Docker
Kubernetes

Responsibilities

Requirements

Preferred

Skills

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