M&GVP – Applied AI Architect - Process Re-engineering CoE
M&G is hiring a VP – Applied AI Architect - Process Re-engineering CoE in Mumbai, India. Level rates it ; you can apply on Level.
Level's read on this job
- On Level's scale, this role is Works on AI ●●●○: the daily work is on AI products, without building the model.
- Tools and skills the posting cites include Copilot, Python and LLMs.
- Level files it as an executive role.
- Level lists 94 other open roles at M&G.
- The role was posted in the last few days.
AI in this role
Designs and builds applied AI solutions, LLM integrations, RAG architectures, and agentic workflows within a process re-engineering CoE.
About M&G India
We are M&G India, the strategic innovation and digital hub for M&G. Established in 2003, we have offices in Mumbai and Pune.
Our teams work closely with colleagues across the Group worldwide to drive transformation, build digital capability, and support sustainable growth. By leveraging technology, AI, automation, and process excellence, we bring new ways of thinking to improve outcomes for both customers and colleagues.
Grounded in a vibrant culture with strong foundations, we are central to how M&G is transforming as a business.
About M&G
Our purpose is to give everyone real confidence to put their money to work. With a heritage dating back more than 175 years, we have a long history of innovation in savings and investments, combining asset management and insurance expertise to offer a wide range of solutions.
Our two distinct operating segments, Asset Management and Life, work together to provide access to balanced, long-term investment and savings solutions.
Through telling it like it is, owning it now, and moving it forward together with care and integrity; we are creating an exceptional place to work for exceptional talent.
§ Decompose complex insurance, asset-management and finance processes and identify deterministic, AI-assisted and human-controlled steps.
§ Produce current-state and target-state architectures, architecture decision records and non-functional requirements for automation and AI solutions.
§ Select the appropriate automation mechanism for each problem — rules engine, workflow, RPA, traditional ML, LLM, RAG or human decision — and justify the choice.
§ Design and build AI solutions using enterprise Copilot capabilities and direct API calls to the leading LLM providers, with a provider-independent abstraction layer.
§ Engineer secure, permission-aware retrieval (RAG) over enterprise knowledge, preserving source-system permissions and information barriers.
§ Integrate solutions with systems of record — recordkeeping platforms, Salesforce and Oracle Fusion — via APIs, events and controlled RPA where APIs are unavailable.
§ Design bounded-autonomy agentic workflows in which a deterministic orchestrator owns process state, approvals, audit and compensation.
§ Establish AI evaluation frameworks (golden datasets, groundedness, hallucination and regression testing) linked to business KPIs.
§ Embed responsible-AI, security and financial-services controls: segregation of duties, maker-checker, materiality thresholds, explainability and evidence retention.
§ Stand up LLMOps/MLOps — versioning, monitoring, cost/FinOps controls, fallback routing and incident management — for production operation.
§ Baseline processes and prove value realisation using BI, analytics and process mining
We have a diverse workforce and an inclusive culture at M&G Global Services, regardless of gender, ethnicity, age, sexual orientation, nationality, disability or long term condition, we are looking to attract, promote and retain exceptional people. We also welcome those who take part in military service and those returning from career breaks.
How we rate this
VP – Applied AI Architect - Process Re-engineering CoE at M&G rates 75 out of 100 for how much of the daily work is AI. That makes it Works on AI (AI Level 3 of 4). The level is about AI in the job, not seniority.
Works on AI. The daily work is on AI products, without building the model.
- ●●●● Builds AI80 to 100
- ●●●○ Works on AI60 to 79
- ●●○○ Uses AI40 to 59
- ●○○○ Little AI0 to 39
Levels come from how often the tools, models and workflows of the role are named in the posting itself. Open the description and count.
Prepare for this job
Built from this posting and from similar jobs on Level.
Skills and AI tools this role asks for
Questions you could be asked
- How would you design a retrieval step so the model answers from real data instead of guessing?
- How do you decide when an AI agent can act on its own versus asking for approval first?
- How do you monitor a model once it's live, and how do you know it needs retraining?
- How do you decide that one model's output is better than another's for a given task?
- Tell me about a project where applied ai was part of your work. What did you do?
Adapt your resume
- List these exact terms on your resume: RAG, AI agents, ML Ops, AI Evaluation, and Applied AI. An applicant tracking system matches the wording, not the idea.
- Attach one line of real, concrete experience to at least one of them. A tool named with nothing behind it rarely survives a human read.
- Show where AI is part of your daily process, not a one-off project. This role expects it to be a running habit.
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