Referso Jobs

Senior AI Engineer

Referrals Only · Posted Nov 5, 2026

Open

Bangalore, India +3 more
Senior

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Senior AI Engineer

Referrals Only · Posted Nov 5, 2026

Open

Bangalore, India +3 more
Senior

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Senior Data Scientist

Varite, Inc · Posted Nov 5, 2026

Open

Tampa, Florida, United States
Contract · Senior
$57–$61 per hour
8–10 years

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The Senior Agentic AI Architect will design and build intelligent AI agents capable of managing complex workflows. They will oversee the complete development lifecycle from solution design to deployment. The role includes developing knowledge ingestion pipelines and ensuring security in AI-generated communications.

Compensation

Pay Rate Range: $56.81 - 60.60/hr.

Responsibilities

Design and build intelligent AI agents capable of reasoning, planning, tool execution, and managing complex workflows with minimal human intervention.
Hands-on building and deploying agents using AWS AgentCore, including Runtime, Memory, Gateway, Identity, Policy, and Observability capabilities.
Design effective context management strategies covering memory retrieval, conversation summarization, knowledge injection, prompt versioning, and context window optimization.
Build reliable agent execution frameworks with tool-call orchestration, retry handling, structured output validation, capability routing, and automated testing.
Develop and coordinate specialized AI agents using frameworks such as LangGraph or Strands Agents.

Requirements

Nice to have: Enterprise knowledge ingestion and retrieval pipelines
Nice to have: Security and access management practices
Nice to have: Human-in-the-loop mechanisms

Skills

Artificial Intelligence (AI)

Senior Agentic AI Architect

Diverse Lynx · Posted Nov 5, 2026

Open

Tampa, Florida, United States
On-site
Contract · Senior
$65 per hour

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Senior Agentic AI Architect to design, build, and deploy enterprise-grade AI assistants and intelligent automation solutions using AWS AgentCore and Bedrock.

Compensation

Rate: $65/hr

Responsibilities

Agentic AI Development: Design and build intelligent AI agents capable of reasoning, planning, tool execution, and managing complex workflows with minimal human intervention.
AWS AgentCore (Mandatory): Hands-on experience building and deploying agents using AWS AgentCore, including Runtime, Memory, Gateway, Identity, Policy, and Observability capabilities.
Context Engineering (Mandatory): Design effective context management strategies covering memory retrieval, conversation summarization, knowledge injection, prompt versioning, and context window.

Skills

AWS AgentCore Context Engineering Harness Engineering AWS Bedrock Agentic AI Development

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GenAI Functional Analyst (Employed or freelance)

EngiFlex · Posted Nov 7, 2026

Open

Brussels, Brussels Capital, Belgium
Contract · Associate

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Act as the link between business and technical profiles in an Agile, multidisciplinary team working on (Gen)AI topics, translating business needs into technical specifications.

Compensation

attractive salary, supplemented with extra-legal benefits, including a company car

Responsibilities

Analyze requirements and processes
Translate them into specifications
Propose end-to-end solutions that meet customer needs and are cost-efficient
Challenge requirements and specifications using an iterative and adaptable approach
Use an MVP way of working to deliver value quickly

Requirements

Nice to have: Stakeholder management
Nice to have: Belgian energy sector knowledge

Skills

Generative AI Azure AI AWS Large Language Models (LLMs)Prompt engineering Guardrail management AWS AgentCore

Sr. AI Engineer - IT

LogicMonitor · Posted Nov 2, 2026

Open

Austin, Texas, United States
Hybrid
Full-time · Senior
$137K–$189K per year
5+ years

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Seeking a hands-on engineer to implement, improve, and support the AI Fabric enterprise operating layer, including agent execution, context assembly, model routing, tool access, and workflow orchestration.

Compensation

The Base Salary range for this role is: $136,500—$189,420 USD

Responsibilities

Implement and support assigned services in the enterprise AI operating layer for agent execution, context assembly, model routing, tool access, workflow orchestration, and enterprise integrations.
Implement the approved skills-store model (core, personal, team, and organization-wide skills).
Build self-service features for users to create, test, manage, and use personal skills.
Implement skill versioning, selection, testing, auditability, and permission checks.
Surface conflicts or policy gaps with evidence for the AI Fabric lead.

Requirements

Nice to have: JavaScript
Nice to have: TypeScript
Nice to have: SQL

Skills

Python APIs Cloud services Containers Serverless runtimes

Principal Engineer

Micron Technology · Posted Nov 5, 2026

Open

Hyderabad, Telangana, India
Principal
8+ years

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Lead the design, development, and optimization of agentic AI workflows and hybrid cloud architectures for Micron’s enterprise AI solutions.

Responsibilities

Build agentic workflows on the Claude ecosystem
Consult, architect and implement scalable multi‑agent systems
Design, develop and optimize Vector RAG & GraphRAG
Deliver technology‑agnostic hybrid architecture across AWS, GCP, Kubernetes and on‑prem platforms
Implement data ETL pipelines

Requirements

Bachelor's in CS, AI, Data Science, or a related field
Nice to have: Semiconductor
Nice to have: NAND
Nice to have: storage
Nice to have: firmware

Skills

Python agentic frameworks ontologies semantic modeling graph technology Neo4j Neptune vector databases

Principal Engineer

Micron Technology · Posted Nov 5, 2026

Open

Hyderabad, Telangana, India
Principal
8+ years

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Lead the design, development, and optimization of agentic AI workflows and multi-agent systems on the Claude ecosystem, integrating hybrid-cloud architectures across AWS, GCP, Kubernetes, and on-prem platforms.

Responsibilities

Build agentic workflows on the Claude ecosystem
Consult, architect and implement scalable multi-agent systems
Design, develop and optimize Vector RAG & GraphRAG
Deliver technology-agnostic hybrid architecture across AWS, GCP, Kubernetes, and on-prem/distributed data platforms
Implement Data ETL pipelines of engineering data

Requirements

Bachelor's in CS, AI, Data Science, or a related field
Nice to have: Semiconductor
Nice to have: NAND
Nice to have: storage
Nice to have: firmware

Skills

Python agentic frameworks ontologies semantic modeling graph technology Neo4j Neptune

AWS AgentCore & MCP Gateway - Technical Lead

NTT DATA Services · Posted Nov 4, 2026

Open

Remote, United States
Remote
Full-time · Lead
$10K–$171K per year
8+ years

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A hands-on AWS and Model Context Protocol (MCP) Technical Lead to lead the architecture, implementation, and operationalization of an enterprise MCP Gateway using AWS AgentCore.

Compensation

The starting pay range for this remote role is $102,78.00 to $171,125.00.

Responsibilities

Lead the design, setup, configuration, and deployment of AWS AgentCore Gateway and MCP Gateway architecture.
Establish a centralized MCP Gateway and MCP server registry supporting approved internal and external MCP servers.
Configure MCP targets and integrations with platforms such as GitHub, JIRA, AWS services, and custom enterprise MCP servers.
Design secure authentication and authorization patterns using AWS AgentCore Identity, IAM, JWT/OIDC, OAuth/3LO, and Cedar policies.
Implement fine-grained authorization controlling which users, agents, MCP servers, and tools can be accessed.

Requirements

Nice to have: AI/agent security
Nice to have: least-privilege access
Nice to have: secrets management
Nice to have: prompt-injection risks
Nice to have: GenAI / agentic AI platforms

Skills

AWS architecture AWS AgentCore Model Context Protocol (MCP)

Technical Lead - AWS AgentCore & MCP Gateway

Kasmo Inc · Posted Nov 4, 2026

Open

Dallas, Texas, United States
Hybrid
Full-time · Manager
8+ years

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Lead the design, setup, configuration, and deployment of AWS AgentCore Gateway and MCP Gateway architecture, providing technical leadership and architectural guidance.

Responsibilities

Lead the design, setup, configuration, and deployment of AWS AgentCore Gateway and MCP Gateway architecture
Establish a centralized MCP Gateway and MCP server registry
Configure MCP targets and integrations with platforms such as GitHub, JIRA, AWS services, and custom enterprise MCP servers
Design secure authentication and authorization patterns using AWS AgentCore Identity, IAM, JWT/OIDC, OAuth/3LO, and Cedar policies
Implement fine-grained authorization controlling which users, agents, MCP servers, and tools can be accessed

Requirements

Nice to have: AI/agent security
Nice to have: least-privilege access
Nice to have: secrets management
Nice to have: prompt-injection risks
Nice to have: secure tool execution

Skills

AWS architecture AWS AgentCore MCP GitHub JIRA

Senior Agentic AI Architect

Artech LLC · Posted Nov 3, 2026

Open

Tampa, Florida, United States
On-site
Full-time · Senior
$55–$60 per hour
8–10 years

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Design and build intelligent AI agents capable of managing complex workflows and overseeing the full development lifecycle.

Compensation

Pay Rate: $55-$60/hr on W2/C2C

Responsibilities

Design and build intelligent AI agents
Integrate enterprise knowledge sources
Develop secure, scalable solutions on AWS
Own the complete development lifecycle
Implement testing and observability

Skills

AWS AgentCore Context Engineering Harness Engineering Python Multi-agent orchestration Proactive AI automation Enterprise knowledge ingestion RAG techniques EKS Docker

AWS AgentCore jobs

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