Senior Agentic AI Architect & Delivery Lead

Jobgether; United States; Remote; USD 133,000 - 188,000; Full time

Benefits offered by this job

Remote-first options

Professional development

Career growth

Job summary

Jobgether is seeking a senior consultant to lead enterprise client engagements in agentic AI. You will design, implement, and scale multi-agent architectures, leveraging Go or Python, Docker/Kubernetes, and major cloud platforms.

You will mentor teams, drive ADLC practices, and ensure governance and security across deployments. You will collaborate with customer stakeholders, architect robust solutions, and deliver production-grade systems while advancing enterprise AI adoption in an

Qualifications

• Minimum 7 years in professional services, tech consulting, or enterprise app development.
• Minimum 2 years building LLM-based apps with at least one in production.
• Strong SDLC knowledge and practical ADLC application.
• Proficiency in Go or Python; Go is a plus.
• Experience designing multi-agent systems and orchestration.

Responsibilities

• Own the full delivery lifecycle for agentic AI initiatives from discovery to production.
• Lead workshops to translate business goals into implementable workflows.
• Design multi-agent architectures with task delegation and tool integration.
• Develop production-ready software using Go or Python.
• Deploy and operate on Docker/Kubernetes across cloud platforms.
• Integrate agents with enterprise systems via MCP/A2A and REST.
• Implement RAG, embeddings, and knowledge bases for accuracy.
• Apply ADLC across projects and ensure governance.

Skills

Agentic AI

Go/Python

Docker/Kubernetes

Cloud platforms

ADLC

RAG

MCP/A2A

Event-driven

Tools

Google ADK

LangChain

LangGraph

CrewAI

REST APIs

Job description

Jobgether is seeking a senior consultant to lead enterprise client engagements in agentic AI. You will design, implement, and scale multi-agent architectures, leveraging Go or Python, Docker/Kubernetes, and major cloud platforms.

You will mentor teams, drive ADLC practices, and ensure governance and security across deployments. You will collaborate with customer stakeholders, architect robust solutions, and deliver production-grade systems while advancing enterprise AI adoption in an