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AI Solution Architect

Alltech Consulting Services, Inc.

New York, New York • Today

Easy Apply

Full-time

130,000 - 140,000

AI Solution Architect (15 Years) (Need Local to NJ ONLY)

ERPA

Hybrid in Jersey City, New Jersey • Today

Easy Apply

Contract

Depends on Experience

Data and AI Solution Architect

EPAM Systems

Remote • Today

Full-time

Databricks Solution Architect (Data & AI)

EPAM Systems

Remote or New York, New York • Today

Full-time

Solution Architect- AI Agent

Incedo Inc

Hybrid in New York, New York • 17d ago

Easy Apply

Full-time

Depends on Experience

AI Solution Architect

Karsun Solutions LLC

Remote • Today

Full-time

USD 180,000.00 - 210,000.00 per year

AI Solution Architect

Veeam Software Corporation

Remote • Today

Full-time

USD 215,640.00 - 400,440.00 per year

Sr. AI Solution Architect

DigiCert

Remote • Today

Full-time

USD 170,500.00 - 220,000.00 per year

Sr. AI Solution Architect

Cohesity

Remote or Georgia • Today

Full-time

USD 282,400.00 - 353,000.00 per year

AI Solution Architect - Remote

UnitedHealth Group

Remote or Denver, Colorado • Today

Full-time

USD 112,700.00 - 193,200.00 per year

Workday & Sana AI Solution Architect

Alchemy

Remote • Today

Full-time

Senior Cloud Solution Architect - Agentic AI and Copilot Studio

Microsoft Corporation

New York, New York • Today

Full-time

USD 106,400.00 - 203,600.00 per year

Principal Cloud Solution Architect, Cloud and Agentic AI Solutions - New York

Microsoft Corporation

New York, New York • Today

Full-time

USD 130,900.00 - 251,900.00 per year

Solution Architect

SymphonyAI

New York, New York • Today

Full-time

AI Enterprise Solution Expert

Michael Page

New York, New York • Today

Full-time

USD 100,000.00 - 130,000.00 per year

Forward Deployed Solution Engineer - Applied AI FDE

ServiceNow, Inc.

Remote or New York, New York • Today

Full-time

USD 161,300.00 - 274,200.00 per year

AI Solutions Architect

Randstad Digital

New York, New York • Today

Contract

USD58 - USD68

Enterprise AI Architect -- W2 Role

Pilvi Systems

Hybrid in New York, New York • 17d ago

Easy Apply

Contract

Depends on Experience

Solutions Architect, AI

Stripe

New York, New York • Today

Full-time

Senior AI Architect (Data & AI Advisor)

ITECS

Jersey City, New Jersey • Today

Easy Apply

Third Party

Compensation information provided in the description

AI Architect remote Role

VeridianTech

Jersey City, New Jersey • Today

Easy Apply

Full-time, Part-time, Third Party, Contract

AI Architect

Rayomind Software Solutions LLC, DBA, Hire'in Solutions

New York, New York • 4d ago

Easy Apply

Contract, Third Party

Depends on Experience

Google Agentic AI Architect

EPAM Systems

Remote or New York, New York • Today

Full-time

Senior Solutions Architect II, AI/ML

DigitalOcean

New York, New York • Today

Full-time

USD 150,000.00 - 186,000.00 per year

AI Technical Architect

Capco

New York, New York • Today

Full-time

USD 146,000.00 - 183,000.00 per year

AI Modeler / Architect, Biopharma R&D

Pyramid Consulting, Inc.

New York, New York • Today

Easy Apply

Contract

USD53 - USD60 per hour

AI Architect - FDE Associate Director

Accenture LLP

New York, New York • Today

Full-time

USD 163,000.00 per year

AI Native Architect - REMOTE.

VeridianTech

New York, New York • Today

Easy Apply

Full-time, Contract, Third Party

Required Senior Application Architect with Agentic AI, Enterprise Integration & Cloud, New York City Metropolitan Area(Hybrid, Local Only)

VISION INFOTECH INC.

New York, New York • 10d ago

Easy Apply

Third Party, Contract

Depends on Experience

AI Architect with Ontology

The Avian Consulting LLC

New York, New York • 10d ago

Easy Apply

Contract

Depends on Experience

Job Details

Skills

Solution Architect
AI
RAG

Summary

Role: AI Solution Architect

Location: Manhattan, NY (Onsite)

Full time permanent

Local of NJ/NY preferred

We are looking for an experienced AI Solution Architect to architect and deliver enterprise-grade AI/ML, Generative AI, and Agentic AI solutions using Spec-Driven Engineering practices. The role requires a combination of strong architecture expertise, hands-on AI engineering knowledge, cloud-native solution design, and the ability to translate complex business requirements into secure, scalable, production-ready AI solutions through clear, testable, and traceable specifications.

Required Skills

Strong understanding of Machine Learning, Deep Learning, Generative AI, LLMs/SLMs, RAG, Agentic AI, prompt/context engineering, embeddings, vector search, structured outputs, and AI evaluation techniques.
Strong hands-on knowledge of Python and AI/ML frameworks such as PyTorch, TensorFlow, Hugging Face, LangChain, LangGraph, or CrewAI.
Experience with enterprise AI and cloud platforms such as Azure AI Foundry/Azure Machine Learning, AWS SageMaker and related AWS AI services, or Google Vertex AI.
Knowledge of SQL, NoSQL, vector databases, graph databases, knowledge graphs, and data/platform technologies such as Kafka, Spark, and Airflow.
Experience with cloud-native engineering and MLOps/LLMOps, including Docker, Kubernetes, Terraform, CI/CD, GitOps, MLflow or equivalent lifecycle and observability platforms.
Strong understanding of REST/GraphQL APIs, microservices, event-driven architectures, distributed systems, enterprise integration patterns, and architecture for security, privacy, resiliency, scalability, performance, observability, and cost optimization.
Experience with Spec-Driven Engineering, including requirements decomposition, architecture and API specifications, executable acceptance criteria, specification-to-code/test traceability, version control, and AI-assisted engineering workflows.
Strong client-facing solutioning, stakeholder management, technical leadership, architecture documentation, and communication skills, with experience designing AI solutions for regulated industries.
Knowledge of knowledge graphs, ontologies and Graph-RAG architectures

Key Responsibilities

Architect end-to-end enterprise AI solutions spanning data ingestion, model/LLM integration, retrieval, orchestration, application integration, deployment, evaluation, monitoring, and governance.
Design Generative AI, RAG, and Agentic AI solutions.
Define Agentic AI architectures incorporating agent orchestration, tool/API integration, context and memory management, human-in-the-loop controls, guardrails, evaluation, and observability.
Evaluate and select appropriate LLMs, SLMs, embedding models, AI frameworks, retrieval approaches, and deployment patterns based on accuracy, latency, security, scalability, and cost.
Architect AI solutions using services across AWS, Microsoft Azure, and Google Cloud, with deep expertise in at least one hyperscaler.
Design cloud-native and distributed architectures using APIs, microservices, event-driven patterns, containers, and Kubernetes.
Define enterprise AI security and governance controls covering identity and access, data privacy, responsible AI, model security, auditability, and regulatory requirements.
Lead solution discovery, architecture definition, technical assessments, POCs, reference architectures, reusable accelerators, and productionization.
Drive Spec-Driven Engineering across the AI solution lifecycle by translating business intent, architecture decisions, functional and non-functional requirements, interfaces, guardrails, and acceptance criteria into version-controlled, machine-consumable specifications that guide design, code generation, testing, validation, and deployment.
Partner with business stakeholders, enterprise architects, product teams, data scientists, AI engineers, DevOps/platform teams, and security teams.
Provide technical leadership, conduct architecture/design reviews, mentor engineering teams, and communicate solution trade-offs to technical and executive stakeholders.

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: 10114281
Position Id: 9130282
Posted 6 hours ago

Fitment

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Contact the job poster

Jatin Kumar

Recruiter @ Alltech Consulting Services, Inc.

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Job Details

Skills

Solution Architect
AI
RAG

Summary

Role: AI Solution Architect

Location: Manhattan, NY (Onsite)

Full time permanent

Local of NJ/NY preferred

Required Skills

Strong understanding of Machine Learning, Deep Learning, Generative AI, LLMs/SLMs, RAG, Agentic AI, prompt/context engineering, embeddings, vector search, structured outputs, and AI evaluation techniques.
Strong hands-on knowledge of Python and AI/ML frameworks such as PyTorch, TensorFlow, Hugging Face, LangChain, LangGraph, or CrewAI.
Experience with enterprise AI and cloud platforms such as Azure AI Foundry/Azure Machine Learning, AWS SageMaker and related AWS AI services, or Google Vertex AI.
Knowledge of SQL, NoSQL, vector databases, graph databases, knowledge graphs, and data/platform technologies such as Kafka, Spark, and Airflow.
Experience with cloud-native engineering and MLOps/LLMOps, including Docker, Kubernetes, Terraform, CI/CD, GitOps, MLflow or equivalent lifecycle and observability platforms.
Strong understanding of REST/GraphQL APIs, microservices, event-driven architectures, distributed systems, enterprise integration patterns, and architecture for security, privacy, resiliency, scalability, performance, observability, and cost optimization.
Experience with Spec-Driven Engineering, including requirements decomposition, architecture and API specifications, executable acceptance criteria, specification-to-code/test traceability, version control, and AI-assisted engineering workflows.
Strong client-facing solutioning, stakeholder management, technical leadership, architecture documentation, and communication skills, with experience designing AI solutions for regulated industries.
Knowledge of knowledge graphs, ontologies and Graph-RAG architectures

Key Responsibilities

Architect end-to-end enterprise AI solutions spanning data ingestion, model/LLM integration, retrieval, orchestration, application integration, deployment, evaluation, monitoring, and governance.
Design Generative AI, RAG, and Agentic AI solutions.
Define Agentic AI architectures incorporating agent orchestration, tool/API integration, context and memory management, human-in-the-loop controls, guardrails, evaluation, and observability.
Evaluate and select appropriate LLMs, SLMs, embedding models, AI frameworks, retrieval approaches, and deployment patterns based on accuracy, latency, security, scalability, and cost.
Architect AI solutions using services across AWS, Microsoft Azure, and Google Cloud, with deep expertise in at least one hyperscaler.
Design cloud-native and distributed architectures using APIs, microservices, event-driven patterns, containers, and Kubernetes.
Define enterprise AI security and governance controls covering identity and access, data privacy, responsible AI, model security, auditability, and regulatory requirements.
Lead solution discovery, architecture definition, technical assessments, POCs, reference architectures, reusable accelerators, and productionization.
Drive Spec-Driven Engineering across the AI solution lifecycle by translating business intent, architecture decisions, functional and non-functional requirements, interfaces, guardrails, and acceptance criteria into version-controlled, machine-consumable specifications that guide design, code generation, testing, validation, and deployment.
Partner with business stakeholders, enterprise architects, product teams, data scientists, AI engineers, DevOps/platform teams, and security teams.
Provide technical leadership, conduct architecture/design reviews, mentor engineering teams, and communicate solution trade-offs to technical and executive stakeholders.

Dice Id: 10114281
Position Id: 9130282
Posted 6 hours ago

Fitment