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Remote Databricks Architect Jobs in New Jersey (NOW HIRING)

Axos Bank

Sr. Database Administrator

Edison, NJ · On-site +1

$120K - $145K/yr

About This Job We are seeking a SQL DBA with hands-on Databricks experience to support and optimize ... San Diego, CA Irvine, CA Los Angeles, CA Centennial, CO Las Vegas, NV Remote or Hybrid is not ...

Adidev Technologies

AI/ML

Hoboken, NJ · Remote

Architect and refine sophisticated ML models and algorithms, translating complex datasets into ... Support, even from afar, with our remote assistance. Regular salary reviews? You betcha! Ready to ...

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Remote Databricks Architect information

What is the difference between Remote Databricks Architect vs Remote Data Engineer?

AspectRemote Databricks ArchitectRemote Data Engineer
Primary FocusDesigning and implementing data solutions on Databricks platformBuilding and maintaining data pipelines and infrastructure
Required SkillsDatabricks, Spark, cloud platforms, architecture designETL, SQL, Python, cloud data tools
CertificationsDatabricks certifications, cloud certificationsCloud certifications, SQL, Python skills
Work EnvironmentCollaborates with data teams, architects, and stakeholdersWorks on data pipeline development, data modeling

While both roles work within data environments and often in cloud settings, the Remote Databricks Architect focuses on designing scalable data solutions using Databricks, whereas the Remote Data Engineer primarily builds and maintains data pipelines and infrastructure. The architect role emphasizes architecture and strategy, while the data engineer role emphasizes implementation and operational tasks.

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Remote Databricks Architect jobs near you
Infographic showing various Remote Databricks Architect job openings in New Jersey as of August 2026, with employment types broken down into 88% Full Time, and 12% Contract. Highlights an 100% Remote job distribution.

Agentic AI Engineering Architect (Remote -US)

OMG Technologies

Jersey City, NJ • On-site, Remote

Contractor

Posted 4 days ago

Job description

Agentic AI Engineering Architect - Remote (US)
We are looking to hire a candidate with the mentioned skill sets and experience for one of our clients within the pharmaceutical Industry. This is a REMOTE role.
Position Overview
Lead the transformation of the software engineering organization into an AI-augmented, agentic engineering model. You will architect an enterprise framework that uses AI agents across the Product Development Life Cycle (PDLC) from requirements and architecture through development, testing, DevSecOps, release, and operations.
Key Responsibilities
  • Define the AI-native SDLC / Agentic PDLC architecture and roadmap.
  • Architect multi-agent workflows for requirements, architecture, development, testing, security, DevOps, compliance, and release management.
  • Design the enterprise AI Engineering Platform/Harness, including LLM gateway, RAG, vector databases, knowledge graphs, MCP, agent registry, orchestration, memory, observability, and evaluation.
  • Drive AI-enabled software engineering transformation, including AI coding, code review, automated testing, documentation, refactoring, and DevSecOps.
  • Define enterprise architectures across cloud, microservices, APIs, data, event-driven systems, and AI infrastructure.
  • Establish AI governance, security, Responsible AI, validation, and regulatory compliance practices.
  • Lead enterprise AI adoption, engineering enablement, training, and change management.
  • Evaluate and select AI platforms and frameworks such as OpenAI, Azure AI, AWS Bedrock, Google Gemini, Anthropic, LangGraph, AutoGen, Semantic Kernel, LangChain, MCP, GitHub Copilot, Cursor, and Claude Code.

Required Qualifications
  • Bachelor's degree in Computer Science, Engineering, or related field; Master's preferred.
  • 12+ years of enterprise software engineering experience.
  • 8+ years leading enterprise architecture initiatives.
  • 5+ years leading cloud-native engineering transformations.
  • Experience leading large Agile engineering organizations (200+ engineers preferred).
  • Strong experience in enterprise software modernization and DevSecOps at scale.
  • Strong understanding of Generative AI, Agentic AI, AI engineering platforms, and enterprise AI adoption.
  • Experience implementing GenAI solutions in enterprise environments.
  • Strong enterprise architecture, technical leadership, and organizational transformation skills.

Key Technical Skills
AI/Agentic AI: GenAI, LLMs, Agentic AI, RAG, Knowledge Graphs, LLMOps, AI Evaluation, AI Safety, MCP, Context Engineering.
Engineering: Python, Java, C#, TypeScript, Node.js, React, REST/GraphQL, Microservices, Kubernetes, Docker, GitHub, Azure DevOps, Terraform, CI/CD.
Cloud/Data: Azure, AWS, GCP, Databricks, Snowflake, PostgreSQL, Redis, Vector Databases, Neo4j.
AI Frameworks: LangGraph, CrewAI, AutoGen, Semantic Kernel, PydanticAI, LangChain, LlamaIndex, OpenAI/Anthropic SDKs, Azure AI Foundry.
Other Job Details:
  • Job Type: C2C or W2. (Open to market rate)
  • Duration: 6+ months with a high possibility of extension.
  • Location: REMOTE.
  • Interviews: Video interviews.
  • Docs required: ID proof will be required.

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