Technology Lead | Automated Testing | Test automation framework design

Expedite Talent Solutions; Hartford (CT); Hybrid; USD 140,000 - 190,000; Full time

Benefits offered by this job

Hybrid work model

Job summary

Expedite Talent Solutions is seeking a Technical Architect in AI Ops for the Hartford area. Hybrid work setup with a 12-month contract. Must have 8-10 years of experience and Claude Architecture Certifications.

Role focuses on designing AI-driven IT Operations, predictive analytics, AIOps platforms, and enterprise-grade multi-agent architectures. Candidate will work with stakeholders to define roadmaps, lead architecture discussions, and develop POCs and workable solutions.

Qualifications

• Design AI-driven IT Operations solutions to improve reliability and observability.
• Build predictive analytics for incidents and capacity planning.
• Implement and optimize AIOps platforms with telemetry data and traces.
• Lead event correlation and automated remediation workflows using AI.
• Improve KPIs such as MTTR and service availability.
• Knowledge of Open Telemetry formats for telemetry.

Responsibilities

• Design and implement AI-driven IT Operations solutions for reliability.
• Build predictive analytics models for incidents and capacity planning.
• Implement AIOps platforms using telemetry data, logs, metrics, and traces.
• Drive event correlation, root-cause analysis, and automated remediation workflows.
• Continuously improve operational KPIs like MTTR and availability.
• Develop AI Agents for IT Operations, DevOps, SDLC and STLC optimization.
• Build RAG systems integrating enterprise knowledge repositories.
• Design multi-agent architectures to automate workflows across the SDLC.
• Leverage LLMs, vector databases, embedding models, orchestration frameworks.
• Engage stakeholders to define roadmaps and lead architecture reviews.

Skills

AI Ops

AI Engineering

Embeddings and Vectors

NLP

Automation skills

CICD Skills

Education

Claude Architecture Certifications

Tools

OpenTelemetry

Vector databases

LLM frameworks

Agent frameworks

Job description

Job Title: Technical Architect in AI Ops

Work Location: HartfordCT6156

Contract duration: 12

Target Start Date: 24 Aug 2026

Does this position require Visa independent candidates only? YES

hybrid work set-up

Job Details

Must Have Skills

• AI Ops
• AI Engineering
• Embeddings and Vectors
• NLP

Nice to have skills

• Automation skills
• CICD Skills

Detailed Job Description

• Design, develop, and implement AI-driven IT Operations solutions to improve infrastructure reliability, observability, and operational efficiency.
• Build predictive analytics models for incident prediction, capacity planning, anomaly detection, and proactive issue resolution.
• Implement and optimize AIOps platforms leveraging telemetry data, logs, metrics, and traces.
• Drive event correlation, root cause analysis, and automated remediation workflows using AI technologies.
• Continuously improve operational KPIs such as MTTR, incident volume reduction, infrastructure utilization, and service availability.
• Knowledge on Open Telemetry formats for telemetry.
• Develop and deploy AI Agents for IT Operations, DevOps, SDLC and STLC optimization, and enterprise productivity.
• Build RAG (Retrieval Augmented Generation) systems integrating enterprise knowledge repositories.
• Design multi-agent architectures to automate operational workflows and decision-making processes for various manual tasks available in SDLC cycle.
• Leverage LLMs, vector databases, embedding models, orchestration frameworks, and agent frameworks to create enterprise-grade solutions.
• Engage with business stakeholders, operations teams, architects, and leadership to understand operational challenges and define solution roadmaps.
• Lead technical discussions, design reviews, and architecture workshops.

Minimum Years Of Experience

8-10 years

Certifications Needed

Claude Architecture Certifications

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

• Drive Architecture Discussions
• Support enterrise adoption
• Develop POCs and workable solutions

Interview Process (Is face to face required?)

No

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

Good skills required on AI Engineering with RAG as well as AI Ops practices and solutions