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Ai Ml Architect

Posted on: Nov 09, 2026

Innova software Services Inc
New York, New York
Onsite
CTC

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Job Title :

Ai Ml Architect

Job Type :

Contract

Job Location :

New York New York United States

Remote :

Job Description :

Job Title: Senior AI/ML Architect
Location: Remote
Employment Type: Contract (C2C)
Experience: 12+ Years

Job Overview

We are seeking a highly experienced Senior AI/ML Architect to lead enterprise-wide AI and machine learning architecture initiatives within a Finance Technology organization.

The ideal candidate will combine strategic architecture leadership with hands-on technical expertise across Generative AI, Agentic AI, machine learning, cloud platforms, distributed systems, and enterprise automation.

Key Responsibilities

Define enterprise AI/ML strategy and multi-year technology roadmaps.
Architect scalable GenAI, machine learning, and automation platforms.
Design advanced RAG, GraphRAG, Knowledge Graph, and semantic search solutions.
Develop multi-agent orchestration architectures and human-in-the-loop workflows.
Architect AI-driven financial solutions for fraud detection, forecasting, reconciliation, and reporting.
Define data pipelines, integration patterns, API architectures, and event-driven systems.
Guide engineering teams through detailed architecture, design reviews, and implementation.
Establish AI architecture standards, security, governance, and best practices.
Drive MLOps and LLMOps adoption, model monitoring, and lifecycle management.
Ensure scalability, performance, privacy, auditability, and regulatory compliance.

Required Qualifications

12+ years of experience in enterprise architecture, cloud architecture, and distributed systems.
Proven production experience architecting GenAI and machine learning solutions.
Strong experience across Azure, AWS, and GCP.
Deep expertise in Kubernetes and container-based architectures.
Experience designing high-volume data processing and event-driven systems.
Experience in financial data processing, analytics, banking, or FinTech environments.
Strong technical leadership and executive stakeholder management capabilities.

Key Technical Skills

Skill area	Required technologies
Generative AI	LLMs, RAG, GraphRAG, Knowledge Graphs
Agentic AI	Multi-agent orchestration, tool use, memory
Machine Learning	Forecasting, fraud detection, anomaly detection
Cloud AI	Azure OpenAI, Azure ML, Vertex AI, BigQuery ML, AWS
Data Architecture	Data pipelines, semantic layers, complex databases
Distributed Systems	Event-driven architecture, APIs, microservices
Containerization	Kubernetes, Docker
AI Operations	MLOps, LLMOps, model governance

Preferred Qualifications

Finance Technology, banking, or regulated financial services experience.
Experience with model risk management and AI governance frameworks.
Azure Solutions Architect, GCP Professional Cloud Architect, AWS Solutions Architect, or TOGAF certifications.

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Position Details

Posted:

Nov 09, 2026

Reference Number:

636-30664

Employment:

CTC

City:

New York

Job Origin:

CIEPAL_ORGANIC_FEED

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Job Title: Senior AI/ML Architect
Location: Remote
Employment Type: Contract (C2C)
Experience: 12+ Years

Job Overview

We are seeking a highly experienced Senior AI/ML Architect to lead enterprise-wide AI and machine learning architecture initiatives within a Finance Technology organization.

Key Responsibilities

Define enterprise AI/ML strategy and multi-year technology roadmaps.
Architect scalable GenAI, machine learning, and automation platforms.
Design advanced RAG, GraphRAG, Knowledge Graph, and semantic search solutions.
Develop multi-agent orchestration architectures and human-in-the-loop workflows.
Architect AI-driven financial solutions for fraud detection, forecasting, reconciliation, and reporting.
Define data pipelines, integration patterns, API architectures, and event-driven systems.
Guide engineering teams through detailed architecture, design reviews, and implementation.
Establish AI architecture standards, security, governance, and best practices.
Drive MLOps and LLMOps adoption, model monitoring, and lifecycle management.
Ensure scalability, performance, privacy, auditability, and regulatory compliance.

Required Qualifications

12+ years of experience in enterprise architecture, cloud architecture, and distributed systems.
Proven production experience architecting GenAI and machine learning solutions.
Strong experience across Azure, AWS, and GCP.
Deep expertise in Kubernetes and container-based architectures.
Experience designing high-volume data processing and event-driven systems.
Experience in financial data processing, analytics, banking, or FinTech environments.
Strong technical leadership and executive stakeholder management capabilities.

Key Technical Skills

Skill area	Required technologies
Generative AI	LLMs, RAG, GraphRAG, Knowledge Graphs
Agentic AI	Multi-agent orchestration, tool use, memory
Machine Learning	Forecasting, fraud detection, anomaly detection
Cloud AI	Azure OpenAI, Azure ML, Vertex AI, BigQuery ML, AWS
Data Architecture	Data pipelines, semantic layers, complex databases
Distributed Systems	Event-driven architecture, APIs, microservices
Containerization	Kubernetes, Docker
AI Operations	MLOps, LLMOps, model governance

Preferred Qualifications

Finance Technology, banking, or regulated financial services experience.
Experience with model risk management and AI governance frameworks.
Azure Solutions Architect, GCP Professional Cloud Architect, AWS Solutions Architect, or TOGAF certifications.

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