AI Solutions Support Lead

Jobtailor

New Jersey

Hybrid

USD 120,000 - 190,000

Full time

3 days ago

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Job summary

Jobtailor is seeking an AI Operations Lead to own post-deployment life cycle of production AI projects. You will drive incident management, governance compliance, and collaboration with partners to ensure reliable, auditable AI services.

The role requires coordinating internal and external teams, maintaining runbooks and dashboards, and continuously improving operational delivery within regulated environments.

Qualifications

Significant experience supporting, operating, or maintaining production AI, ML, analytics, or data-driven solutions.
Strong understanding of AI solution lifecycles, including deployment, monitoring, maintenance, and enhancement.
Experience leading technical teams and coordinating third-party delivery partners.
Strong incident management and problem-solving capabilities.
Experience managing application support, service management, or operational delivery functions.
Strong understanding of data platforms, APIs, cloud environments, and software delivery practices.
Experience with Agile delivery methodologies and DevOps practices.
Excellent stakeholder management and communication skills.
Ability to prioritise effectively and manage multiple initiatives simultaneously.
Strong organisational and leadership capabilities.
Experience supporting Generative AI, ML, LLM, or agentic AI solutions.
Experience with Azure AI, Databricks, Microsoft Copilot Studio, Azure OpenAI, Foundry, or similar AI technologies.
Understanding of Responsible AI principles, model monitoring, bias management, and governance requirements.
Experience within insurance, financial services, or other highly regulated industries.
Familiarity with ITIL, Service Management, or Site Reliability Engineering practices.
Ability to attend the local office at least three days per week.
Ability to work occasional out-of-hours, including evenings and weekends, when required.

Responsibilities

Assume operational ownership of AI solutions after deployment and handover.
Establish support processes, runbooks, monitoring dashboards, and escalation paths.
Maintain ownership and inventory for production AI solutions.
Coordinate investigation and resolution of production issues.
Manage defect remediation and code fixes with internal and partner teams.
Coordinate major incident response and post-incident reviews.
Monitor performance, usage, cost, bias, drift, and business value of AI
Identify optimization opportunities and drive continuous improvement
Manage enhancement backlogs and coordinate releases and deployments
Collaborate with Data Science, Data Engineering, BTS, governance teams, and external delivery teams
Ensure AI solutions comply with governance policies and standards
Maintain operational documentation, evidence, and audit artefacts
Contribute to governance forums, reviews, and risk assessments
Lead AI engineers provided through strategic delivery partners

Skills

Incident management

Service management

Agile delivery

Generative AI experience

AI lifecycle management

Tools

Azure AI

Databricks

Microsoft Copilot Studio

Azure OpenAI

Foundry

Job description

Responsibilities

Assume operational ownership of AI solutions following deployment and handover from delivery teams
Establish and maintain support processes, documentation, runbooks, monitoring dashboards, escalation paths, defect management, and operational procedures
Maintain ownership, accountability, service management practices, and an accurate inventory for production AI solutions
Coordinate investigation and resolution of production issues
Manage defect remediation and oversee code fixes through internal and partner engineering teams
Coordinate major incident response and post-incident reviews
Monitor solution performance, reliability, usage, accuracy, cost, value realization, model drift, bias, fairness, and business effectiveness
Identify optimization opportunities and drive continuous improvement
Manage enhancement backlogs and coordinate approved enhancements, releases, and production deployments
Collaborate with Data Science & AI Delivery, Data Engineering, BTS, business stakeholders, governance teams, and external delivery teams
Ensure AI solutions comply with governance policies and standards
Maintain operational documentation, support evidence, and audit artefacts
Contribute to governance forums, operational reviews, and risk assessments
Lead AI engineers provided through strategic delivery partners

Requirements

Significant experience supporting, operating, or maintaining production AI, machine learning, analytics, or data-driven solutions
Strong understanding of AI solution lifecycles, including deployment, monitoring, maintenance, and enhancement
Experience leading technical teams and coordinating third-party delivery partners
Strong incident management and problem-solving capabilities
Experience managing application support, service management, or operational delivery functions
Strong understanding of data platforms, APIs, cloud environments, and software delivery practices
Experience working with Agile delivery methodologies and DevOps practices
Excellent stakeholder management and communication skills
Ability to prioritise effectively and manage multiple initiatives simultaneously
Strong organisational and leadership capabilities
Experience supporting Generative AI, machine learning, large language model (LLM), or agentic AI solutions
Experience with Azure AI, Databricks, Microsoft Copilot Studio, Azure OpenAI, Foundry, or similar AI technologies
Understanding of Responsible AI principles, model monitoring, bias management, and AI governance requirements
Experience within insurance, financial services, or other highly regulated industries
Familiarity with ITIL, Service Management, or Site Reliability Engineering practices
Ability to attend the local office at least three days per week
Ability to work occasional out-of-hours, including evenings and weekends, when required

Core Competencies

Demonstrates expertise in managing and optimizing AI solutions post-deployment, ensuring compliance with governance standards while leading technical teams and coordinating with stakeholders. Proficient in incident management, operational delivery, and continuous improvement within regulated industries.

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