Technology Lead | Cloud Platform | Azure API Gateway

"Project Niche Skills"

"Visa Dependent Profiles Allowed"

POC: Sam Chavez

ATTENTION ALL SUPPLIERS!!!

READ BEFORE SUBMITTING:
UPDATED CONTACT NUMBER and EMAIL ID is a MANDATORY REQUEST from our client for all the submissions
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Avoid submitting duplicate profiles. We will Reject/Disqualify immediately.
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Please submit profiles within the max proposed rate.
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MANDATORY: Please include in the resume the candidate s complete & updated contact information (Phone number, Email address and Skype ID) as well as a set of 5 interview timeslots over a 72-hour period after submitting the profile when the hiring managers could potentially reach to them. PROFILES WITHOUT THE REQUIRED DETAILS and TIME SLOTS will be REJECTED.

Job Title: Technology Lead | Cloud Platform | Azure API Gateway -- AI Ops Engineer
Work Location & Reporting Address: Dallas, TX or Bothell, WA (Full Onsite. Candidates willing to relocate to client location will be considered)
Contract duration: 6
MAX VENDOR RATE: ####0 to ####5 per hour max
Target Start Date: 10 Sep 2026
Does this position require Visa independent candidates only? No

Must Have Skills:
Agentic AI / AI Agents development and orchestration
LLM-based solution design and knowledge frameworks
Azure Cloud and Kubernetes
MuleSoft and REST API integrations
AI-driven monitoring, support, and automation
AI Ops Knowledge
Enterprise application and cloud operations
Telecom/OSS Domain is mandatory
Skill Mix: 60% AI / Agentic AI, 40% Cloud & Enterprise Technology.

Nice to Have Skills:
RAG and AI knowledge management frameworks
AIOps and intelligent automation solutions
GenAI governance and observability
Python automation and scripting
Cloud-native architecture and DevOps practices

Detailed Job Description:
The role involves building intelligent AI agents capable of autonomous decision-making, incident analysis, remediation recommendations, workflow orchestration, and operational support across cloud-native ecosystems. The candidate will work closely with cloud, application, and platform engineering teams to deliver scalable AI-driven operations solutions.

Key Responsibilities
Design and implement an Agentic AI framework for Cloud Infrastructure and Application Operations.
Build and orchestrate AI agents for monitoring, diagnostics, knowledge retrieval, incident triaging, remediation, and operational automation.
Develop knowledge frameworks utilizing enterprise documentation, operational runbooks, and support processes.
Integrate AI agents with enterprise platforms and operational tools using APIs.
Enable AI-driven automation for cloud monitoring, observability, application support, and operational intelligence.
Collaborate with Cloud and Platform Engineering teams to architect scalable and secure AI-enabled solutions.
Design reusable frameworks, accelerators, and governance models for AI-based operations.
Support Azure cloud environments, Kubernetes platforms, MuleSoft integrations, and enterprise application ecosystems.
Mentor engineering teams and drive adoption of AI-driven operational practices.

Minimum Years of Experience:
6 to 7+ years

Certifications Needed:
None

Top 3 responsibilities you would expect the Subcon to shoulder and execute:

Interview Process (Is face to face required?)
Virtual and possible face-to-face

Any additional information you would like to share about the project specs/nature of work:

Project Code: SPEED