AI - Integration Application Architect

TechDigital Group; Phoenix (AZ); On-site; USD 150,000 - 210,000; Full time

Job summary

TechDigital Group is seeking a seasoned Application/Solution Architect focused on AI/ML integration. You will design how AI models plug into core systems, build LLM pipelines with LangChain or similar tools, and work with vector databases to support RAG workflows.

You will evaluate platforms for cost, performance, and compliance, while ensuring data privacy and model risk is managed in production. Close collaboration with data science, engineering, and infrastructure teams is essential.

Qualifications

• 8+ years in application/solution architecture.
• 3+ years in AI/ML integration.
• Hands-on experience with LangChain, Hugging Face, TensorFlow or similar.
• Experience with LLM platforms: OpenAI, Anthropic, Azure OpenAI, AWS Bedrock.
• Strong grasp of RAG and vector databases (Pinecone, Weaviate, FAISS).
• APIs, microservices, event-driven architecture exposure.
• Proficient in AWS and programming in Python and Java.
• Understanding of MLOps/LLMOps.

Responsibilities

• Lead architecture for AI/ML integration across apps.
• Hands-on work with LangChain, LLM pipelines and vector DBs.
• Evaluate platforms for cost, performance, and compliance fit.
• Ensure data privacy, model risk and monitoring in production.
• Collaborate with data science, engineering and infrastructure teams.

Skills

LangChain

HuggingFace

TensorFlow

APIs & Microservices

Event-Driven Architecture

Python

Java

MLOps/LLMOps

OpenAI

Anthropic

Azure OpenAI

AWS Bedrock

Tools

Pinecone

Weaviate

FAISS

APIs

Docker

Job description

Job summary

Design how AI models plug into our core systems and applications Integrate LLMs and AI frameworks using tools like LangChain or Semantic Kernel Build RAG pipelines and work with vector databases where needed Set up APIs and microservices to connect AI into the broader tech stack Evaluate AI platforms for cost, performance, and compliance fit Handle data privacy, model risk, and monitoring for anything in production Work closely with data science, engineering, and infrastructure teams

Experience

8to12Yrs

Required Skills

Hands on experience with LangChain, Hugging Face, TensorFlow, or similar Experience with LLM platforms: OpenAI, Anthropic, Azure OpenAI, AWS Bedrock Strong grasp of RAG, vector databases (Pinecone, Weaviate, FAISS) Solid background in APIs, microservices, event driven architecture Comfortable in AWS, Strong coding skills in Python, Java Understanding of MLOps/LLMOps

Technology

-Not Applicable

Shift

Day

Responsibilities

8+ years in application/solution architecture, 3+ in AI/ML integration Hands on experience with LangChain, Hugging Face, TensorFlow, or similar Experience with LLM platforms: OpenAI, Anthropic, Azure OpenAI, AWS Bedrock Strong grasp of RAG, vector databases (Pinecone, Weaviate, FAISS) Solid background in APIs, microservices, event driven architecture Comfortable in AWS, Strong coding skills in Python, Java Understanding of MLOps/LLMOps