AI Data Scientist
Ford Motor Company is hiring an AI Data Scientist to focus on generative AI and agentic systems. You will architect autonomous AI agents, manage datasets, and integrate models into production environments. The role requires 3+ years of experience with Python, deep learning frameworks, and a strong understanding of agentic AI concepts. You will collaborate with cross-functional teams to push AI boundaries within the organization.
50k new jobs listed every day. Install TAL to find more jobs like this.
Experience
3+ years
Function
Engineering
Work mode
Onsite, India
Company
Tier 2
What you will work on
Ford Motor Company is hiring an AI Data Scientist to focus on generative AI and agentic systems. You will architect autonomous AI agents, manage datasets, and integrate models into production environments. The role requires 3+ years of experience with Python, deep learning frameworks, and a strong understanding of agentic AI concepts. You will collaborate with cross-functional teams to push AI boundaries within the organization.
TAL's take
Solid role at a globally recognized firm, though the domain is legacy-heavy compared to pure-play tech companies.
Clear responsibilities focused on agentic system design and generative AI model development.
Salaries at Ford Motor Company
19.0 LPA average
Based on 2 Grapevine salary entries for Ford Motor Company.
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
- 3+ years of experience in AI/ML development
- Strong proficiency in Python
- Experience with AI/ML libraries like PyTorch or TensorFlow
- Experience with generative models like LLMs and diffusion models
- Familiarity with agentic AI concepts and planning algorithms
Tools and skills
About the company
Global automotive manufacturer; while not a tech-native Tier 1 firm, it is a well-established industrial leader.
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
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 ?
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.