Responsible AI Framework Specialist

Lloyds Banking Group; Hyderabad; Hybrid; INR 900,000 - 1,300,000; Full time

Job summary

Lloyds Banking Group is seeking a proactive Responsible AI Framework Specialist to join its AI Centre of Excellence in Hyderabad. You will support the Responsible AI programme, track adoption, maintain key tooling and communications, and work with platform teams and business stakeholders to ensure standards are understood and automated where possible.

In this role you will drive data-driven Responsible AI delivery, provide hands-on data expertise, and support Responsible AI governance across the

Qualifications

• Strong organisational skills with the ability to manage multiple tasks.
• Able to manage diverse stakeholder groups and tailor communication.
• Familiarity with AI concepts including fairness, explainability, privacy.

Responsibilities

• Maintain and update the Responsible AI Tracker and support metric collation for governance forums.
• Own upkeep of the Responsible AI SharePoint site and publish guidance and FAQs.
• Support development and automation of manual processes; clarify requirements and reduce complexity.
• Support the broader adoption of the AI CoE strategy through internal communications and training.
• Act as first-line contact for business queries on Responsible AI processes; triage and escalate as needed.

Skills

Organisational skills

Stakeholder management

AI concepts

Data & reporting

MLOps awareness

Communication to non-technical

Tools

SharePoint

Power BI

Workday

Teams

Job description

Job Description:

End Date Friday 23 October 2026

We Support Flexible Working – Click here for more information on flexible working options

Flexible Working Options

Hybrid Working

Job Description Summary

We are looking for a proactive and detail-oriented Responsible AI Framework Specialist to join our AI Centre of Excellence (CoE) within the Chief Data & Analytics Office. This role is critical in supporting the day-to-day operations of our Responsible AI programme and wider AI Strategy, helping the business navigate our frameworks, track adoption, and maintain key tooling and communications.

You will work closely with Responsible AI Specialists, platform teams, and business stakeholders to ensure our Responsible AI and Centre of Excellence processes and standards are understood, adopted, continuously improved and automated where possible. You will support data-driven Responsible AI delivery by providing hands-on data expertise, working with in Responsible AI team and supporting Group Platforms.

Location: Hyd

YOE: 8-13

Mode: Hybrid

Job Description

In this role, you will

• Tracking & reporting: Maintain and update the Responsible AI Tracker, monitor Workday module completions and support the collation of metrics and insights for internal governance forums and external reporting.

• SharePoint & knowledge management: Own the upkeep of the Responsible AI SharePoint site, ensuring content is current, and publish updates, guidance, and FAQs to support business understanding and adoption.
• Support Process Development and Refinement: Supports the development, refinement, improvement and automation of manual processes, working with stakeholders to clarify requirements, reduce complexity, and ensure processes remain effective, consistent, and fit for purpose.
• Strategic enablement: Support the broader adoption of the AI CoE strategy, contributing to internal communications, training sessions, and community of practice activities.
• Provide business support: Act as a first‑line contact for queries from the business regarding Responsible AI processes and wider AI adoption standards, triaging and escalating technical or strategic queries to the appropriate CoE leads.

You will bring

Essential

• Strong organisational skills, with the ability to manage multiple operational tasks.
• Strong stakeholder management skills, able to adjust communication styles to suit the audience.
• Familiarity with AI concepts and responsible AI principles such as fairness, explainability, and privacy.
• Experience using collaboration tools (e.g., SharePoint, Power BI, Workday, Teams).
• Comfortable working with data and reporting tools to track progress and surface insights.
• Familiarity with machine learning lifecycle management (MLOps) and frameworks.

In addition, the following is desirable

• Experience supporting AI Strategy development and adoption.
• Ability to communicate technical concepts clearly to non‑technical stakeholders
• Experience building and deploying AI models in production.
• Exposure to Responsible AI frameworks or governance processes (e.g., AI Assurance, consequence scanning methodology).
• Experience in a regulated industry such as banking or insurance.
• Understanding of change enablement and experience in cloud environments.
• Experience building or maintaining data pipelines.