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SymphonyAI · 1 day ago

AI Architect

United States

Full-time

Remote

Senior Level, Lead/Staff

8+ years exp

SymphonyAI is seeking an experienced AI Architect to design, govern, and scale end-to-end AI solutions that deliver measurable business outcomes. The role involves defining enterprise AI architecture, collaborating with various teams to translate requirements into technical solutions, and ensuring compliance with data privacy and security regulations.

Artificial Intelligence (AI)Consumer GoodsFinancial ServicesIndustrial ManufacturingInformation TechnologyMachine LearningMedia and EntertainmentRetailSoftware

H1B Sponsor Likely

Responsibilities

Define and own enterprise AI architecture spanning data ingestion, model development, deployment, and monitoring

Design scalable architectures for ML, GenAI, and advanced analytics use cases

Establish standards, best practices, and guardrails for AI development and deployment

Drive build vs. buy decisions for AI platforms, tools, and vendors

Partner with Product, Engineering, Data Science, and Business teams to translate requirements into technical solutions

Architect AI solutions for use cases such as:

Forecasting and optimization

Personalization and recommendations

Computer vision

Natural language processing and GenAI

Ensure solutions meet performance, reliability, security, and compliance requirements

Design and govern MLOps / LLMOps pipelines to support model lifecycle management

Enable CI/CD for models, prompt management, and experimentation

Guide teams on model versioning, monitoring, retraining, and drift detection

Ensure compliance with data privacy, security, and regulatory requirements

Define and enforce Responsible AI practices (fairness, explainability, auditability)

Partner with Security, Legal, and Compliance teams on AI risk management

Serve as a technical mentor to engineers, data scientists, and architects

Influence architecture decisions across multiple teams without direct authority

Stay current with emerging AI technologies and assess applicability to the business

Qualification

AI architectureCloud platformsMachine learning frameworksMLOpsData lakesGenAIGovernanceSecurityPythonTechnical leadershipSoft skills

Required

8-15+ years of experience in software engineering, data engineering, or architecture

5+ years designing and deploying AI/ML systems in production

Strong understanding of enterprise architecture patterns

Proven ability to influence senior technical and business stakeholders

Experience operating in complex, cross-functional environments

AWS (SageMaker, Bedrock), Azure (Azure ML, OpenAI), or GCP (Vertex AI)

Kubernetes, Docker

Infrastructure as Code (Terraform, CloudFormation)

Data lakes / lakehouse: Databricks, Snowflake, BigQuery, Redshift

Streaming & ingestion: Kafka, Kinesis, Pub/Sub

SQL and distributed data processing (Spark)

Python (required)

ML frameworks: TensorFlow, PyTorch, scikit-learn

Model development and experimentation tools

Feature stores (Feast, Databricks Feature Store)

LLMs: OpenAI, Anthropic, Google, open-source (LLaMA, Mistral)

Prompt engineering and orchestration frameworks (LangChain, LlamaIndex)

Vector databases (Pinecone, Weaviate, FAISS)

RAG architectures and fine-tuning approaches

MLflow, SageMaker Pipelines, Kubeflow

Model monitoring and observability tools

CI/CD integration for AI workloads

Model explainability tools (SHAP, LIME)

Data privacy and access controls

AI risk and compliance frameworks

Preferred

Retail, supply chain, commerce, SaaS, or large-scale enterprise environments

Experience scaling AI beyond pilots into enterprise platforms

Exposure to global or multi-region deployments

Company

SymphonyAI

Glassdoor3.8

SymphonyAI is an enterprise AI company focused on delivering AI solutions for vertical sectors

Founded in 2017

Palo Alto, California, USA

1001-5000 employees

http://www.symphonyai.com

H1B Sponsorship

SymphonyAI has a track record of offering H1B sponsorships. Please note that this does not guarantee sponsorship for this specific role. Below presents additional info for your reference. (Data Powered by US Department of Labor)

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Trends of Total Sponsorships

2024 (1)