Technical Delivery Lead (Python, AI Platforms, MCP)

Tranzeal, Inc.United States🇺🇸United StatesPosted Sep 20, 2026

Why This Role Stands Out

This hybrid HRBP role offers a fantastic opportunity to refine your HR operations and workforce planning skills within a dynamic environment, making you an invaluable partner to the business. You'll thrive here if you're a proactive, detail-oriented problem-solver eager to contribute to a successful HR team. Don't miss out on this chance to make a significant impact and grow your expertise.

Quick Overview

Seniority

Mid Senior

Work mode

Remote

Location

United States

Posted

1 week ago

Job Description

Title- Delivery Lead (Python-based agent engineering and MCP server design)

Location- Denver, CO / Fully Remote

Contract – 6+ months

Notes:

Python-based agent engineering and MCP server design

Required Qualifications & Technical Skills

Education: Master’s degree preferred; Bachelor’s degree in Computer Science, Information Technology, Systems Engineering, or a related field required.
Experience: 8+ years leading complex technical projects, product delivery, or cloud infrastructure rollouts within a global enterprise IT environment, with at least 2+ years leading AI/AIOps platform deployments.
Deep AI & Agentic Literacy: Mastery of AI concepts, including Large Language Models (LLMs), Agentic AI, multi-agent reasoning, tool-calling architectures, Retrieval-Augmented Generation (RAG), and the Model Context Protocol (MCP).
Observability & Cloud Baseline: Hands-on experience with enterprise monitoring platforms (e.g., Dynatrace, Splunk, CloudWatch), cloud environments (Google Cloud Platform, AWS), and CI/CD pipeline automation.
Systems Thinking & Governance: Proven ability to translate complex I&O environments into contextual schemas for AI consumption, paired with experience establishing guardrails for data security, AI safety, and compliance.
SRE & DevOps Mindset: Deep familiarity with Site Reliability Engineering (SRE) principles, automated testing, IaC, and data pipeline oversight (e.g., Snowflake/ETL validation).