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Senior AI Architect

Remote • Posted 3 hours ago • Updated 3 hours ago

Contract Independent

Contract W2

6 Months

No Travel Required

Remote

$70 - $80/hr

Fitment

Dice Job Match Score™

🔢 Crunching numbers...

Job Details

Skills

Generative AI
Machine Learning
RAG
Kubernetes
containerized
LLM

Summary

Senior AI Architect
Duration: 3–6 Months (Contract-to-Hire)
Location: Remote

Job Overview

Client is seeking a Senior AI Architect to lead the architecture and technical strategy for AI/ML, Generative AI, automation, and agentic AI solutions within the Finance Technology organization.

The ideal candidate will have strong enterprise architecture experience, hands-on knowledge of cloud platforms and AI/ML technologies, and the ability to work with both senior business stakeholders and engineering teams.

Key Responsibilities

Define AI/ML architecture strategy, standards, and technology roadmaps.
Design scalable architectures for Generative AI, Machine Learning, RAG, and Agentic AI solutions.
Develop reusable AI/ML frameworks and platforms for finance use cases such as forecasting, fraud detection, reconciliation, reporting, and analytics.
Design RAG, Knowledge Graph, GraphRAG, semantic search, and vector database solutions.
Define architectures for multi-agent workflows, orchestration, tool integration, and human-in-the-loop processes.
Create detailed architecture designs covering data pipelines, APIs, integrations, model serving, security, and governance.
Guide engineering teams through technical design, implementation, and code/design reviews.
Ensure AI solutions meet enterprise security, privacy, compliance, governance, and audit requirements.
Drive adoption of MLOps/LLMOps practices.
Evaluate and recommend cloud platforms, AI tools, frameworks, and technologies.

Required Qualifications

12+ years of experience in Enterprise Architecture, Cloud Architecture, or Distributed Systems.
Strong hands-on experience with AI/ML and Generative AI in production environments.
Expertise across Azure, AWS, and Google Cloud Platform.
Strong experience with Kubernetes and containerized platforms.
Experience with event-driven architectures and large-scale data processing.
Strong knowledge of LLMs, RAG, prompt engineering, vector databases, semantic search, and Knowledge Graphs.
Experience designing Agentic AI / multi-agent workflows.
Strong understanding of ML use cases including forecasting, anomaly detection, fraud detection, and predictive analytics.
Experience with large-scale data pipelines, APIs, databases, and distributed systems.
Experience with Azure OpenAI, Azure ML, Vertex AI, BigQuery ML, or similar AI/ML services.
Strong communication, stakeholder management, and technical leadership skills.

Preferred Qualifications

Experience in Finance, Banking, FinTech, or other regulated industries.
Experience with MLOps/LLMOps and AI governance/model risk frameworks.
Relevant cloud or architecture certifications such as Azure, AWS, Google Cloud Platform, or TOGAF

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: 91163612
Position Id: 9072652
Posted 3 hours ago

Contact the job poster

Rishi Rana

Staffing & Recruitment @ Talent Glide

View Profile

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