AI Data Architect

Vaiticka Solution; Edison (NJ); Remoto; USD 170.000 - 260.000; Tempo pieno

Descrizione del lavoro

Vaiticka Solution is seeking a Senior AI & Data Analytics Architect to design and lead enterprise-scale AI/ML and GenAI initiatives. The role emphasizes end-to-end architecture, governance, and scalable delivery across data ingestion, training, and serving.

You will drive measurement frameworks, performance metrics, and governance while collaborating with executives to translate complex analytics into strategic business outcomes.

Competenze

• Measurement frameworks, KPIs, and success metrics tying AI to outcomes.
• Advanced analytics, statistical analysis, and data storytelling.
• Proficiency in BI tools to build self-service dashboards.
• Hands-on with Snowflake, Databricks, BigQuery, Redshift, dbt, and ETL/ELT pipelines.
• End-to-end AI/analytics architecture including data ingestion, training, serving, monitoring and governance.
• GenAI and agents with LLMs, vector DBs, prompt engineering, and agent frameworks.
• AI performance measurement with ROI, adoption, and governance.
• Cloud AI platforms and container/orchestration tech, plus Terraform.
• MLOps/LLMOps practices: CI/CD for models, MLflow, Kubeflow.
• Strong coding in Python, R, SQL; ML/DL frameworks.
• Responsible AI practices: privacy, security, compliance, governance.
• Leadership in client discovery, proposals, and cross-team guidance.
• Certifications in cloud/AI or analytics are a plus.

Mansioni

• Lead design, development, and deployment of enterprise-scale AI/ML/GenAI solutions.
• Architect end-to-end data and AI ecosystems for secure, scalable, and cost-controlled deployments.
• Collaborate with executives to translate analytics into business impact.

Conoscenze

Measurement & analytics

Advanced analytics

BI & visualization

Data platforms

Architecture

GenAI & agents

AI performance measurement

Cloud AI platforms

MLOps & LLMOps

Responsible AI

Leadership

Certifications (preferred)

Strumenti

Tableau

Power BI

Looker

GA4

Snowflake

Databricks

BigQuery

Redshift

dbt

Pinecone

Weaviate

pgvector

LangChain

LlamaIndex

Semantic Kernel

SageMaker

Bedrock

Azure ML

Vertex AI

Kubernetes

Docker

Terraform

MLflow

Kubeflow

Feature stores

Model registries

Python

R

SQL

PyTorch

TensorFlow

Hugging Face

FastAPI

Descrizione del lavoro

We are looking for a highly experienced Senior AI & Data Analytics Architect to join our team and lead the design, development, and deployment of enterprise-scale AI, ML, and GenAI solutions.

Role- AI Data Architect

Location- Remote (Preferred – Columbus, Ohio and / OR Edison, NJ)

10+ years of experience in Data Analytics, Software Engineering, Data Engineering, or Machine Learning Engineering

5+ years of hands-on experience in Advanced Analytics and Measurement

3+ years of experience designing and delivering production-grade AI/ML and Generative AI solutions

following skills:

• Measurement and analytics: Designs measurement frameworks, KPIs, and success metrics that tie AI and business initiatives to measurable outcomes. Experienced with A/B testing, multivariate testing, causal inference, attribution modelling, and marketing mix modelling.
• Advanced data analytics: Strong in statistical analysis, predictive modelling, and data storytelling. Turns complex datasets into actionable insights for business and executive stakeholders.
• BI and visualization: Proficient in Tableau, Power BI, Looker, and Google Analytics/GA4. Builds self-service dashboards and reporting layers.
• Data platforms: Hands-on with Snowflake, Databricks, BigQuery, Redshift, dbt, and ETL/ELT pipelines. Brings strong data modelling and data quality practices.
• Architecture: Designs end-to-end AI and analytics architecture, including data ingestion, model training, serving, monitoring, measurement, and governance. Can design solutions that scale, stay secure, and keep costs under control.
• GenAI and agents: Hands-on with LLMs, RAG, vector databases (Pinecone, Weaviate, pgvector), prompt engineering, fine-tuning, agentic frameworks (LangChain, LlamaIndex, Semantic Kernel), and LLM evaluation and guardrails.
• AI performance measurement: Defines and tracks model and LLM quality metrics, ROI, adoption, and business impact. Builds observability and drift detection into production AI systems.
• Cloud AI platforms: Expert in at least one of AWS (SageMaker, Bedrock), Azure (Azure ML, Azure OpenAI, AI Foundry), or GCP (Vertex AI). Also proficient in Kubernetes, Docker, and Terraform.
• MLOps and LLMOps: Experience with CI/CD for models, MLflow, Kubeflow, feature stores, and model registries.
• Languages and frameworks: Proficient in Python, R, SQL, PyTorch, TensorFlow, Hugging Face, and FastAPI.
• Responsible AI: Applies data privacy, security, and compliance requirements (GDPR, HIPAA, SOC 2) and AI governance practices to the design.
• Leadership: Can lead client discovery, write solution proposals and estimates, guide analytics, ML, and data engineering teams, and explain insights and architecture decisions to executive stakeholders.
• Preferred: Cloud or AI certifications, such as AWS ML Specialty, Azure AI Engineer, or Google Professional ML Engineer, and analytics certifications, such as Tableau, Power BI, or GA4.