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Remote Nba Computer Science Jobs in New Jersey (NOW HIRING)

Quantum Computing Patent Agent

Morristown, NJ · On-site +1

$120K - $180K/yr

This is a remote position. New York Metro Area | Remote Join a Cutting-Edge Technology Patent ... S. or advanced degree in Electrical Engineering, Computer Science, Computer Engineering, Physics ...

New

Lead Data Engineer

Trenton, NJ · Remote

$157K - $223K/yr

This is a remote role that may only be hired in the following location(s): North Carolina, New Jersey. Responsibilities & Qualifications Bachelor's degree in Computer Science, Information Science, or ...

Lead Data Engineer

Trenton, NJ · Remote

$157K - $223K/yr

This is a remote role that may only be hired in the following location(s): North Carolina, New Jersey. Responsibilities & Qualifications Bachelor's degree in Computer Science, Information Science, or ...

Quantum Computing Patent Agent

Morristown, NJ · On-site +1

$120K - $180K/yr

New York Metro Area | Remote Join a Cutting-Edge Technology Patent Practice An established ... S. or advanced degree in Electrical Engineering, Computer Science, Computer Engineering, Physics ...

New

$50/hr

D. program in fields such as Computer Science, Electrical Engineering, Applied Mathematics, or related disciplines. Working Location Location flexible (Tokyo, NYC, remote) The target hourly rate for ...

$50/hr

D. program in fields such as Computer Science, Electrical Engineering, Applied Mathematics, or related disciplines. Working Location Location flexible (Tokyo, NYC, remote) The target hourly rate for ...

Showing results 21-40

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Agentic AI Engineering Architect (Remote -US)

OMG Technologies

Jersey City, NJ • Remote

Contractor

Posted 24 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 REMOTErole.

Position Overview

Lead the transformation of the software engineering organization into anAI-augmented, agentic engineering model. You will architect an enterprise framework that uses AI agents across theProduct Development Life Cycle (PDLC) from requirements and architecture through development, testing, DevSecOps, release, and operations.

Key Responsibilities

  • Define theAI-native SDLC / Agentic PDLC architecture and roadmap.
  • Architect multi-agent workflows for requirements, architecture, development, testing, security, DevOps, compliance, and release management.
  • Design the enterpriseAI Engineering Platform/Harness, including LLM gateway, RAG, vector databases, knowledge graphs, MCP, agent registry, orchestration, memory, observability, and evaluation.
  • DriveAI-enabled software engineering transformation, including AI coding, code review, automated testing, documentation, refactoring, and DevSecOps.
  • Define enterprise architectures acrosscloud, microservices, APIs, data, event-driven systems, and AI infrastructure.
  • EstablishAI governance, security, Responsible AI, validation, and regulatory compliancepractices.
  • Lead enterprise AI adoption, engineering enablement, training, and change management.
  • Evaluate and select AI platforms and frameworks such asOpenAI, 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+ yearsof enterprise software engineering experience.
  • 8+ yearsleading enterprise architecture initiatives.
  • 5+ yearsleading cloud-native engineering transformations.
  • Experience leading large Agile engineering organizations (200+ engineers preferred).
  • Strong experience inenterprise software modernization and DevSecOps at scale.
  • Strong understanding ofGenerative AI, Agentic AI, AI engineering platforms, and enterprise AI adoption.
  • Experience implementingGenAI solutions in enterprise environments.
  • Strongenterprise 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.