Job Description

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.

Vaiticka Solution

New Jobs

AI Data Architect