AI & Knowledge OperationsMPIN

The Role

The knowledge to support those decisions exists. An AI infrastructure to surface it exists a knowledge graph with semantic search automation workflows a document publishing pipeline and a structured knowledge base. Whats missing is the person who operates it daily assembling briefings building proposals and quotations supporting financial models and routing knowledge so leaders spend their time on markets and partners not searching for what the organisation already knows.

Youll work directly with 3-5 MPS business heads. Youll be mentored by the executive who built the reference architecture. Youll be up and running within three months:

Month 1: Operate and Absorb Sit in meetings. Produce summaries. Assemble your first briefings. Learn the knowledge base the tooling and the people. Build trust through small things done exactly right.

Month 2: Deliver Independently Draft proposals and financial models. Prepare meeting packs without hand-holding. Build new automation workflows. Start surfacing information before its asked for.

Month 3: Infrastructure Live Replicate the AI knowledge operations infrastructure within the MPS enterprise environment. Knowledge graph operational. Workflows running. Documentation complete. The system works independently of any single person.

What Youll Do

You use AI to do all of this. The reference architecture exists. Your job is to engineer the right context run the right workflows and deliver leadership-ready output. You dont do this manually. You build and operate AI workflows that do it.

Briefings & Decision Support Assemble context from the knowledge base to produce leadership-ready briefings option analyses and background documents often within hours of a request.

Proposals Quotations & Financial Models Draft and structure customer proposals quotations and financial models using existing templates pricing data and market research. Ensure numbers are current and sourced.

Meeting Preparation Build context packs and pre-reads before partner board and leadership meetings. After: capture action items and track follow-through.

Market & Competitive Intelligence Monitor policy changes competitor moves and regulatory updates across India Europe and North America. Surface whats relevant before its asked for.

Report & Presentation Production Produce polished documents (DOCX PDF) for board meetings client engagements and partner discussions using the existing publishing pipeline.

Communication Drafting Draft emails internal notes and responses for leadership review. Match tone and context to the audience.

Engagement Tracking Maintain status documentation and proposal versions across active customer and partner engagements using git-based version control.

Knowledge Routing & Maintenance Know where things live or find them fast. Route requests through the knowledge graph and git history. Keep the knowledge base current: new documents indexed stale content flagged.

Workflow Building Build and extend AI workflows new prompts automations retrieval patterns that make future requests faster. What takes an hour today should take ten minutes next month.

Qualifications :

What You Must Already Bring

• Graduate in any discipline (0-3 years experience) engineering business liberal arts. We care about what you can do not what you studied.
• Demonstrated ability to use LLMs effectively on the command line prompt engineering context assembly iterative refinement. Show us dont tell us.
• Comfortable with Python scripting not software engineering but enough to read modify and extend existing scripts
• Working knowledge of git version control as a daily tool not a classroom exercise
• Proficient in Excel formulas financial models structured data. Not just formatting.
• Strong written English youll draft documents that reach board rooms and client tables
• Ability to read a business document and extract what matters pricing structures competitive positioning governance frameworks without needing the domain explained twice
• Comfortable working directly with senior leaders listening to whats asked understanding whats actually needed and asking the right clarifying questions
• Can communicate clearly and concisely in person on calls and in writing
• Handles pressure without drama leadership requests come with tight deadlines shifting priorities and incomplete information. You stay steady ask what you need and deliver.
• Treats business information with absolute discretion strategy pricing financials and board materials are not for casual conversation
• Prioritises without hand-holding when five requests arrive at once you triage by impact and deadline then communicate whats moving and whats waiting
• Meticulous with numbers and details what you produce goes to boards and clients. Errors arent typos theyre credibility problems.
• Flexible on time zones Bengaluru-based but MPS operates across India Europe and North America. Occasional early morning or late evening calls typically 2-3 per week.
• Takes initiative the best version of this role anticipates what leadership needs before they ask for it

Also preferred:

• Familiarity with SQL and relational databases (PostgreSQL)
• Experience with APIs calling them understanding request/response patterns basic troubleshooting
• Exposure to knowledge management tools or document pipelines (markdown pandoc templating systems)
• A side project blog or portfolio that shows initiative beyond coursework

Additional Information :

What Youll Master Here

You arrive with skills. You build judgement fast. Within your first year youll master:

• MPS business context platform economics logistics mobility infrastructure cross-geography operations. Not from a textbook from briefings you assemble and meetings you sit in.
• Executive communication how board packs differ from client proposals. What a business head actually needs versus what they ask for. How to calibrate tone across India Europe and North America.
• Enterprise AI deployment navigating IT security data classification tool approvals and building production-grade infrastructure within corporate constraints.
• Knowledge architecture how to classify structure and surface business knowledge so that retrieval is instant and the right context appears at the right time.
• Stakeholder memory who said what what was promised what changed since last quarter. The institutional context that no document captures.

Apply If You

• Have built a side project because you were curious not because it was assigned
• Read a 30-page report and instinctively know which 3 paragraphs matter
• Have used an LLM from a terminal for something beyond chatting
• Are the person your friends ask to make sense of this
• Would rather build a system than repeat a task
• Are comfortable saying I dont know yet give me two hours

Remote Work :

No

Employment Type :

Full-time