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AI Platform Engineering Manager (Data & Insights)

Ford Motor CompanyChennai, Tamil Nadu, IndiaPosted 20 May 2026

Ford Motor Company is seeking an Engineering Manager to lead their AI Platform team in Chennai, focusing on operationalizing AI to make enterprise data discoverable and usable. The role involves guiding a high-performing team to build intelligent agents and natural language interfaces that interact with structured and unstructured data. Candidates must have extensive experience in large-scale distributed systems and hands-on expertise with agent frameworks like LangChain or Semantic Kernel. You will bridge the gap between complex engineering, security compliance, and user-centric product delivery.

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Experience

10+ years

Function

Engineering

Work mode

Onsite, India

Company

Tier 2

What you will work on

Ford Motor Company is seeking an Engineering Manager to lead their AI Platform team in Chennai, focusing on operationalizing AI to make enterprise data discoverable and usable. The role involves guiding a high-performing team to build intelligent agents and natural language interfaces that interact with structured and unstructured data. Candidates must have extensive experience in large-scale distributed systems and hands-on expertise with agent frameworks like LangChain or Semantic Kernel. You will bridge the gap between complex engineering, security compliance, and user-centric product delivery.

TAL's take

Quality 65/1005/5 clarityTier 2 company

Solid tier-2 role with clear, well-defined leadership responsibilities in a strategic AI/data platform domain.

Very clear JD outlining technical focus, team goals, and specific stack requirements for an AI platform leader.

Salaries at Ford Motor Company

19.0 LPA average

Based on 2 Grapevine salary entries for Ford Motor Company.

View all salaries

Other roles

2 - 4 years

25 LPA average

Range: 25 - 25 LPA

Other roles

10 - 12 years

13 LPA average

Range: 13 - 13 LPA

Must haves

  • 10+ years engineering experience
  • 5+ years building data or AI-centric platforms at scale
  • Deep knowledge of distributed systems
  • Experience with LLMs, vector databases, and agent frameworks
  • Proven ability to lead engineering teams

Tools and skills

distributed systemsapi-driven architecturescloud-native platformsgcpllmsvector databasesorchestration engineslangchainhaystacksemantic kernel

About the company

Global automotive incumbent with a significant, though non-FAANG, engineering presence.

Posts mentioning Ford Motor Company

Ford VS JP Morgan

Having offer with ford and JP morgan , Ford pays better than JPmorgan .. considering learning,WLB ,Hike & job security which one to choose

IT Company Discussion50

Offer choosing advice

I currently hold 2 offer Company 1 : 19 LPA fixed + 3L performance bonus Company 2 ( contracted to FORD Motors ) : 22.5 LPA fixed + 2.5 performance I didn't want to join company 2 as it's a small company and contract to ford and 4 days work from office. Should I negotiate with company 1 saying about company 2 offer, What to do if they are not able to match it ? Will it be bad of I still join company 1 if they don't match it ?

Career Advice50

Ford GDIA (Unstructured Ingestion team) — sharing my experience for anyone considering this.

Was hired after a full-stack/backend-focused interview process. After joining, expectations quietly shifted to owning AI/ML pipelines and LLM workflows — things that were never evaluated or even mentioned during hiring. It felt like the org was still figuring out what kind of engineer it needed, and that confusion landed on the employees. The culture was heavily perception-driven. Stakeholder visibility and escalation optics often mattered more than actual engineering output. Engineers could deliver real work and still be flagged for "lack of ownership" because expectations kept shifting without documentation. What hit the hardest: being held accountable for outcomes of meetings I was never in. And once leadership's trust erodes, the performance process stops being about growth and starts being about building a record. One more thing — the joining bonus clawback is calculated on the gross amount, not what you actually receive after tax. That gap is significant and comes as a shock during exit discussions. If you're considering this team: ask very specifically during interviews what the actual day-to-day engineering expectations are. Don't assume the interview reflects the real role. It didn't for me.

Company Reviews60