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AI Operations Tech Leader

Career Connect (Philippines)

Role overview

Qualifications

  • Strong background in data engineering, AI/ML, or operations support technology with technical leadership experience in operations, IT, or service environments
  • Proven track record delivering production AI/ML/data solutions that improve MTTR, MTTD, availability, and ticket deflection
  • Hands-on expertise with Python, Spark, Kafka, Airflow; cloud data platforms; PyTorch/TensorFlow; LLMs; and integrations with tools like ServiceNow, PagerDuty, Splunk, Datadog, Moogsoft, Big Panda, Databricks, and Azure/ADF
  • Deep knowledge of AIOps practices including event correlation, anomaly detection, predictive analytics, automated actions, and GenAI for operations

Responsibilities

  • Lead and contribute to high-impact data and AI initiatives that improve operations support outcomes, including real-time incident enrichment, automated root‑cause analysis, predictive alerting, ticket clustering and auto-triage, change risk scoring, knowledge mining, and intelligent runbooks
  • Design and deliver scalable AI-enabled features embedded into operations support platforms such as ServiceNow, Jira Service Management, monitoring/observability tools, and ITSM systems
  • Ensure all solutions meet strict operational SLAs for reliability, low latency, auditability, explainability, and zero-downtime deployment
  • Stay up to date with emerging AIOps tools, research, and trends, and apply them to enhance operations support

Key facts

Hard skills

Data Engineering AIOps (Artificial Intelligence For IT Operations) Generative Artificial Intelligence Datadog Observability Prometheus (Software) Proof Of Concept (POC) Development Root Cause Analysis Predictive Analytics Databricks Problem Management Supplier Management Knowledge Discovery Splunk Apache Airflow Apache Kafka Service Management Data Management Machine Learning Help Desk Support Microsoft Azure Large Language Modeling Python (Programming Language) Semantic Analysis Apache Spark Anomaly Detection Automated Testing Framework Elasticsearch Azure Data Factory Operational Resilience PyTorch (Machine Learning Library) Performance Analysis Dynatrace Architectural Design Incident Management Grafana ServiceNow Runtime Systems TensorFlow Triage Incident Response Cross-Functional Collaboration Code Analysis Just Culture Methodology Stakeholder Communications

Other skills

  • Communication
  • Leadership
  • Strategic Thinking
  • Mentorship
  • Coaching

About the company

Career Connect (Philippines) logo

Career Connect (Philippines)

Staffing & Recruiting

At Career Connect, we understand that there's nothing more transformational for a company than having the right person in the right job.Our values stems from a deep understanding of the individual needs of our clients and qualities required to make a difference in their respective businesses.Industries we serve: Digital and OnlineE-CommerceInformation TechnologyBiotechnologyFinancial ServicesFast Moving Consumer GoodsManufacturingRetailMediaHealthcare Real EstateConstructionConsulting Services

Company details

Company typeStartup
IndustryStaffing & Recruiting
Company size11 - 50

Links

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Job description

This is a remote position.

As AI Ops Technical Leader, you drive the intelligent transformation of operations support. This player-coach role combines hands-on technical delivery, team leadership, and AI architecture governance to achieve operational excellence. You apply deep technical expertise and strategic leadership to design, build, and evolve AI and data solutions that improve incident management, major incident response, problem management, change enablement, service desk support, observability, and overall operational resilience.

 
What You'll Be Doing:

Hands-on Data & AI Solutions for Operations Support

  • Lead and contribute to high-impact data and AI initiatives that improve operations support outcomes, including real-time incident enrichment, automated root‑cause analysis, predictive alerting, ticket clustering andauto-triage, change risk scoring, knowledge mining, and intelligent runbooks.

  • Design and deliver scalable AI-enabled features embedded into operations support platforms such as ServiceNow, Jira Service Management, monitoring/observability tools, and ITSM systems.

  • Ensure all solutions meet strict operational SLAs for reliability, low latency, auditability, explainability, and zero-downtime deployment.

  • Stay up to date with emerging AIOps tools, research, and trends, and apply them to enhance operations support.

AIOps Tools & Platform Leadership

  • Lead the architecture, development, and continuous improvementof internal AIOps platforms and reusable components supporting operationsteams.

  • Integrate AIOps tools with ITSM systems, observability platforms (Prometheus, Grafana, ELK, Dynatrace, Splunk), ticketing systems, and automation frameworks.

  • Apply best practices in MLOps/AI Ops tailored to production environments: model monitoring, drift detection, automated roll back, performance checks, and cost optimization at scale.


AI Technical Leadership for Operations Support Initiatives

  • Serve as the principal AI technical authority for operations support transformation programs across service operations, NOC, support desks, infrastructure operations, and reliability engineering.

  • Lead technical discussions, architecture reviews, proof of concepts, vendor evaluations, and solution selection involving AI for operations.

  • Identify, prioritize, and drive high‑value AI use cases focused on reducing MTTR/MTTD, automating L1 triage, predicting major incidents, generating post‑mortems, optimizing shift handovers, and enabling proactive operations.

Team & People Leadership

  • Build, mentor, and lead a high-performing squad of AIOps specialists focused on measurable operations support improvements.

  • Foster a culture of experimentation, production‑first thinking, and commitment to operational impact—reduced toil, faster resolution, and higher availability.

  • Provide technical coaching, conduct design/code reviews, and guide career development with emphasis on operations and support domain expertise.

Stakeholder & Cross-Functional Collaboration

  • Work closely with operations support leaders, incident managers, service owners, reliability engineers, ITSM teams, infrastructure groups, and other stakeholders to align AI solutions with operational needs.

  • Collaborate deeply with DS&AI Competency teams to ensurehigh-quality, scalable, and sustainable AI delivery.

 
What We're Looking For:

  • Strong background in data engineering, AI/ML, or operations support technology, including technical leadership in operations, IT, or service environments

  • Proven track record delivering production AI/ML/data solutions that improve MTTR, MTTD, availability, and ticket deflection

  • Hands-on expertise with Python, Spark, Kafka, Airflow, cloud data platforms, PyTorch/TensorFlow, LLMs, and integrations with tools like ServiceNow, PagerDuty, Splunk, Datadog, Moogsoft, Big Panda, Databricks, and Azure/ADF.

  • Deep knowledge of AIOps practices including event correlation, anomaly detection, predictive analytics, automated actions, and GenAI for operations.

  • Experience designing, building, or enhancing AIOps and internal tooling platforms.

  • Familiarity with ITIL processes (incident, problem, change, service request, knowledge management).

  • Experience with GenAI/LLM applications for operations such as copilots, auto-remediation, knowledge search, and alert/incident summarization.

  • Proven ability to scale AIOps in large operations or NOC environments while balancing hands-on work with strategy.

  • Strong communication skills, able to translate complex AI concepts for operations teams and executives, focusing on action and automation to reduce operational toil.
    Missing one or two of these qualifications? We still want to hear from you! If you bring a positive mindset, we'll provide an environment where you feel valued and empowered to learn and grow.





Salary: 80,000

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MR

Marcus Rivera

Chief Revenue Officer

m.rivera@company.com
linkedin.com/in/marcusrivera
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