Senior AI Infrastructure Engineer - HPC & MLOps

Bank of America; New York (NY); On-site; USD 170,000 - 210,000; Full time

Job summary

Bank of America seeks a Sr. Data Engineer specialized in AI to design and operationalize AI-enabled solutions across hybrid cloud and on-prem environments.

You will partner with infrastructure, data science, risk, and product teams to translate business needs into secure, scalable capabilities. The role blends applied data science, NLP, machine learning, and software engineering to deliver production-ready AI within a regulated enterprise.

Qualifications

• 15+ years of experience delivering data science, software engineering, analytics, automation, platform engineering, risk analytics, cloud engineering, SRE, or infrastructure technology solutions
• 7+ years of hands-on experience applying AI/ML, NLP, statistical modeling, predictive analytics, optimization, or quantitative methods to enterprise problems
• Strong Python programming skills with data science/NLP libraries
• Experience with end-to-end model lifecycle in large enterprise environments
• Experience with NLP, text analytics, embeddings, classification, anomaly detection, or predictive modeling
• Experience creating model documentation, validation evidence, or governance artifacts in a large organization
• Working knowledge of APIs, data pipelines, SQL, dashboards, and CI/CD
• Excellent written and verbal communication for technical and executive audiences
• Ability to operate across multiple initiatives in a matrixed organization
• Experience with Jira, Confluence, and related delivery platforms

Responsibilities

• Design, develop, test, validate, and deploy AI/ML-enabled capabilities for infrastructure reliability and enterprise decisions
• Apply NLP and ML techniques to complex enterprise data
• Build reusable models, data pipelines, APIs, and dashboards across domains
• Support full model lifecycle from data prep to deployment and monitoring
• Assess design, performance, and risks of AI/ML solutions
• Define requirements, metrics, and governance artifacts with stakeholders
• Develop production-grade code and validation evidence per governance standards
• Advance MLOps, CI/CD, model serving, and hybrid cloud deployment practices
• Communicate findings and tradeoffs clearly to engineers and leadership
• Collaborate across infrastructure, data science, risk, architecture, and product teams

Skills

Python programming

NLP & ML

Agile delivery

Data analysis

Model governance

Education

BA/BS in Computer Science, Data Science, Engineering, or related field

Masters degree preferred

Tools

pandas

NumPy

scikit-learn

TensorFlow

PyTorch

spaCy

Hugging Face Transformers

Gensim

Jira

Confluence

Job description

Bank of America seeks a Sr. Data Engineer specialized in AI to design and operationalize AI-enabled solutions across hybrid cloud and on-prem environments.

You will partner with infrastructure, data science, risk, and product teams to translate business needs into secure, scalable capabilities. The role blends applied data science, NLP, machine learning, and software engineering to deliver production-ready AI within a regulated enterprise.