AI Solutions Engineer - RAG Pipelines & Infra

Wisetek Providers INC; Merrifield (VA); On-site; USD 110,000 - 160,000; Full time

Benefits offered by this job

401(k) matching

Dental insurance

Health insurance

Paid time off

Job summary

Wisetek Providers, Inc. is seeking an experienced AI Solutions Architect to design and implement AI systems, including RAG pipelines and enterprise conversational agents.

You will build and govern data pipelines, integrate multiple models, and ensure secure, scalable AI infrastructure across cloud services and OSS tools. The role requires 4–6 years of relevant experience, familiarity with Azure AI/OpenAI, vector databases, and model governance.

Qualifications

• 4–6 years of experience in AI/IT consulting or related fields.
• Experience architecting and implementing AI solutions and data pipelines.
• Familiarity with retrieval-grounded, multi-turn conversational systems.
• Knowledge of model governance, RBAC and security practices.

Responsibilities

• Architect and implement AI solutions including RAG pipelines and multi-turn agents.
• Design enterprise conversational systems with prompt lifecycle management and telemetry.
• Integrate and operate AI infrastructure across cloud services and OSS models.
• Develop and manage data pipelines for ingestion, enrichment, and vectorization.
• Ensure security, governance, and cost efficiency in AI workloads.
• Evaluate and optimize models with CI/CD and testing.

Skills

AI solutions design

RAG pipelines

Multi-LLM integration

Data pipelines

Vector databases

CI/CD for ML

Model evaluation

Tool governance

Tools

Azure AI

Azure OpenAI

Llama (Meta)

Claude

Semantic Kernel

AutoGen

LangChain

Microsoft Agent Framework

CrewAI

Agno

Azure Batch

Azure Data Factory

Azure Databricks

AWS EMR

Job description

Wisetek Providers, Inc. is seeking an experienced AI Solutions Architect to design and implement AI systems, including RAG pipelines and enterprise conversational agents.

You will build and govern data pipelines, integrate multiple models, and ensure secure, scalable AI infrastructure across cloud services and OSS tools. The role requires 4–6 years of relevant experience, familiarity with Azure AI/OpenAI, vector databases, and model governance.