AI Engineer with strong Full Stack Development experience to design, build, and deploy production-ready AI infrastructure and machine learning models. This role goes beyond traditional AI engineering — the ideal candidate will also drive application support, business stakeholder engagement, and release planning/management
Resource will architect Agentic AI workflows, RAG (Retrieval-Augmented Generation) systems, and high-performance data pipelines to enable digital transformation through Generative AI, Computer Vision, and NLP solutions — while also owning the end-to-end lifecycle of current systems in production.
ResponsibilitiesAI/ML Engineering
Full Stack Development
Application Support
Experience: Bachelor’s degree with 5–8 years in AI architecture or ML development.
Core AI/ML: Proficiency in Python, AI/ML algorithms, NLP, Computer Vision, and cloud AI platforms (e.g., Vertex-AI).
Generative AI: Expertise in Agentic AI, RAG, MCP tools, and frameworks like LangChain or LlamaIndex.
LLM & Fine-tuning: Hands-on experience with LLMs (GPT, Claude, Llama) and fine-tuning models for custom production datasets.
Infrastructure: Experience with Docker, Kubernetes, and building robust API frameworks.
Data Systems: Proficiency in SQL, NoSQL, Graph, and Vector databases (e.g., BigQuery, Databricks).
Process & Soft Skills: Strong Agile knowledge, requirement gathering, and the ability to manage global stakeholders through clear communication and problem-solving. Strong understanding of application support processes, incident management, and monitoring tools
Excellent stakeholder management and business engagement skills
Good to Have:
Any AI related certifications.
Experience in the Automotive industry and related compliance domains.
Specific exposure to GCP data services (Cloud SQL, Postgres).
Skills Required
- Bachelor's degree with 5-8 years in AI architecture or ML development
- Proficiency in Python and AI/ML algorithms
- Experience with NLP and Computer Vision
- Experience with cloud AI platforms (e.g., Vertex-AI) and GCP
- Expertise in Agentic AI, RAG systems, MCP tools, and frameworks like LangChain or LlamaIndex
- Hands-on experience with LLMs (GPT, Claude, Llama) and fine-tuning
- Experience with Docker, Kubernetes, and building robust API frameworks
- Proficiency with SQL, NoSQL, Graph, and Vector databases (e.g., BigQuery, Databricks)
- Strong Agile experience, stakeholder management, requirement gathering, and business engagement skills
- Experience with application support processes, incident management, monitoring tools, runbooks, and troubleshooting production systems
- AI related certifications
- Experience in the Automotive industry and related compliance domains
- Specific exposure to GCP data services (Cloud SQL, Postgres)
Ford Motor Company Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Ford Motor Company and has not been reviewed or approved by Ford Motor Company.
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Pay Growth & Progression — The 2023 UAW–Ford agreement delivered immediate raises, restored cost-of-living adjustments, and accelerated progression to top rates for many hourly roles. These changes improved earnings trajectories compared with pre-2023 levels.
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Healthcare Strength — Hourly employees retained very low employee cost-sharing under the 2023–2028 UAW–Ford agreement, and salaried materials describe comprehensive day‑one medical, dental, and prescription coverage. Mental-health support and family‑building benefits add depth to the overall health package.
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Retirement Support — U.S. salaried roles feature a notable 401(k) contribution and match structure, and post‑2023 updates increased retirement contributions for many UAW‑represented employees. Together these elements strengthen long‑term financial security.
Ford Motor Company Insights
What We Do
Ford is a global company with shared ideals and a deep sense of family. From our earliest days as a pioneer of modern transportation, we have sought to make the world a better place – one that benefits lives, communities and the planet. We are here to provide the means for every person to move and pursue their dreams, serving as a bridge between personal freedom and the future of mobility. In that pursuit, our 186,000 employees around the world help to set the pace of innovation every day.
