AIML Engineer

We are the movers of the world and the makers of the future. We get up every day roll up our sleeves and build a better world -- together. At Ford were all a part of something bigger than ourselves. Are you ready to change the way the world moves

The Ford Motor Credit Company team helps put people behind the wheels of great Ford and Lincoln vehicles. By partnering with dealerships we provide financing personalized service and professional expertise to thousands of dealers and millions of customers in over one hundred countries around the world.

In this position...
As a Senior AI/ML Engineer at Credit AI you will be responsible for designing building and operationalizing scalable AI systems and intelligent agents to enhance customer outcomes mitigate financial risk and boost operational efficiency at Ford Credit. This hands-on role involves leading end-to-end strategic AI initiatives from conversational agents to fraud detection and business automation while balancing rapid experimentation with production rigor and ensuring compliance with financial regulatory requirements.

What youll do...

• Lead architecture design and implementation of production-grade ML/AI systems data pipelines and intelligent agents to meet business and regulatory objectives across credit products.
• Translate business problems into engineering solutions: define success metrics SLAs evaluation protocols and experimentation plans focused on measurable business impact.
• Design prototype validate and productionize AI agents (conversational agents task-execution agents and orchestration workflows) that safely automate business processes augment agent workflows and integrate with backend systems.
• Own full model and agent lifecycle: data ingestion and lineage feature engineering model and policy development agent orchestration deployment monitoring and automated retraining.
• Collaborate to build and maintain robust MLOps and agent-ops practices: containerized agent runtimes CI/CD for models and agent components infra-as-code canary/blue-green releases and safe rollout strategies.
• Implement monitoring and observability for models and agents (performance task success hallucination/safety metrics drift data quality latency); create incident playbooks and operationalize retraining rollbacks and human handoff procedures.
• Design and run rigorous evaluation frameworks for agents: scenario-based testing simulation backtests holdouts cross-validation A/B and uplift testing and business-impact estimation.
• Drive responsible AI: implement explainability fairness assessments access controls data minimization privacy safeguards and mitigation plans for bias safety or other harms from agent outputs.
• Architect guardrails for autonomous agents (authorization scope-limiting confirmation flows human-in-the-loop escalation sandboxing and cost controls).
• Lead cross-functional stakeholder communication: present technical trade-offs agent capabilities and limitations risk assessments and outcomes to product owners legal risk/compliance and senior leadership.
• Continuously evaluate and recommend improvements to AI safety guardrails agent orchestration tooling and the SDLC to accelerate delivery while maintaining safety/compliance.
  
  

Youll have...

• Bachelors degree
• 3 years of applied ML/AI experience with at least 1 years focused on production ML systems and engineering.
• Strong software engineering skills: advanced Python modular design testing typed codebases and deployment experience.

• Production ML/MLOps experience: containerization (Docker) orchestration (Kubernetes) CI/CD tooling infra-as-code (Terraform/CloudFormation) and deployment frameworks (TFX MLflow KServe/Seldon/BentoML or equivalent).

  Even better you may have...

• Practical experience with modern ML frameworks: scikit-learn PyTorch or TensorFlow.
• Hands-on experience designing building and productionizing AI agents using modern frameworks (e.g. LangChain Google ADK LlamaIndex or similar) including RAG/embedding pipelines memory/state management tool-using agent patterns vector DB integration secure connector design and operational guardrails for safe human-in-the-loop orchestration.
• Experience designing or productionizing agent architectures: tool-using agents planner/actor patterns memory/state management and safe orchestration of multi-step tasks.
• Strong data engineering skills: SQL data modeling experience with big data platforms (Spark Databricks Snowflake BigQuery or similar) and streaming/event-driven systems.
• Demonstrated ability to design and implement model and agent monitoring data quality checks drift detection and alerting.
• Knowledge of model explainability and fairness tooling (SHAP LIME integrated gradients or equivalent) and experiment design / A/B testing methodologies.
• Experience working in regulated environments (credit/finance preferred) and producing artifacts for model risk audit and compliance.
• Strong verbal and written communication skills with experience distilling complex technical topics for non-technical stakeholders.
• You may not check every box or your experience may look a little different from what weve outlined but if you think you can bring value to Ford Motor Company we encourage you to apply!

As an established global company we offer the benefit of choice. You can choose what your Ford future will look like: will your story span the globe or keep you close to home Will your career be a deep dive into what you love or a series of new teams and new skills Will you be a leader a changemaker a technical expert a culture builderor all of the above No matter what you choose we offer a work life that works for you including:

• Immediate medical dental vision and prescription drug coverage
• Flexible family care days paid parental leave new parent ramp-up programs subsidized back-up child care and more
• Family building benefits including adoption and surrogacy expense reimbursement fertility treatments and more
• Vehicle discount program for employees and family members and management leases
• Tuition assistance
• Established and active employee resource groups
• Paid time off for individual and team community service
• A generous schedule of paid holidays including the week between Christmas and New Years Day
• Paid time off and the option to purchase additional vacation time.

For more information on salary and benefits click here: position is a range of salary grades 6-8 .

Visa sponsorship is not available for this position.

Candidates for positions with Ford Motor Company must be legally authorized to work in the United States. Verification of employment eligibility will be required at the time of hire.

We are an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race religion color age sex national origin sexual orientation gender identity disability status or protected veteran the United States if you need a reasonable accommodation for the online application process due to a disability please call 1-.

This position is hybrid. Candidates who are in commuting distance to a Ford hub location may be required to be onsite four or more days per week. #LI-Hybrid

#LI-FordCredit#LI-SL2