AI Foundational Model Engineer
Mitsubishi UFJ Financial Group2 hours ago
Jersey City, NJ, USAStaff+
Base Salary
$149k - $205k/yr
Responsibilities
- Design, build, and optimize enterprise AI solutions using foundation models, LLMs, and agentic AI architectures.
- Develop and maintain RAG pipelines, semantic search capabilities, model orchestration, prompt engineering, agent frameworks, and AI workflow automation.
- Lead AI solution architecture across cloud and enterprise platforms, including scalable model-serving architectures and AI APIs.
- Own end-to-end model lifecycle management covering experimentation, evaluation, deployment, monitoring, rollback, and continuous improvement.
- Implement observability, telemetry, performance monitoring, engineering standards, and best practices for AI development and operations.
- Operationalize responsible AI controls for hallucination mitigation, prompt security, model safety, data protection, human oversight, security, privacy, risk, compliance, and auditability.
- Lead technical design reviews, architecture decisions, build-versus-buy evaluations, and experimentation with emerging AI technologies.
- Mentor engineers and collaborate with product, architecture, data, platform, cybersecurity, risk, legal, compliance, and business stakeholders.
- Translate business requirements into scalable AI architectures and present technical recommendations and tradeoffs to senior leadership.
Requirements
- Bachelor’s degree in Computer Science or a closely related discipline, or an equivalent combination of formal education and experience.
- 8–12+ years of experience in AI/ML engineering, software engineering, platform engineering, or applied machine learning.
- Demonstrated experience delivering production-grade AI solutions and building enterprise-scale AI platforms or AI-enabled products.
- Strong hands-on expertise with foundation models, LLMs, agentic AI systems, RAG, embeddings, semantic search, vector databases, prompt engineering, and fine-tuning techniques.
- Experience with Python, PyTorch, TensorFlow, Hugging Face, LangChain, LlamaIndex, Semantic Kernel, AWS and/or Azure, and Kubernetes.
- Experience with model serving, API architecture, AI operations, MLOps, LLMOps, model monitoring, evaluation frameworks, performance optimization, and cost optimization.
- Experience leading technical teams and mentoring engineers, with strong architecture, systems-thinking, executive communication, and cross-functional influence skills.
- Experience in regulated industries such as banking, financial services, insurance, healthcare, or government is preferred.
Benefits
- Hybrid schedule requiring four days per week on-site at an MUFG office or client site and one remote day per week.
- Base pay is listed by location as $149K–$205K in New York/New Jersey and $149K–$188K elsewhere.
- Potential eligibility for discretionary performance-based bonus and/or incentive compensation.
- Benefits include health and wellness coverage, retirement plans, educational assistance, training programs, income replacement for qualified employees with disabilities, paid maternity and parental bonding leave, and paid vacation, sick days, and holidays.