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$109K–$204K against $154K–$225K, the middle half of what similar US postings state.
From 2,958 postings in the last year. Stated ranges, not salaries paid.
Jersey City
Actively hiring, first seen by us 1 day agoPay range $109,100.00 - $203,500.00 annualized salary, offers to be determined based on experience, education and skill set. Discretionary incentive eligibleRead the full posting
Employment type in the employer’s posting: Full timeFrom the employer’s posting
Build agentic AI solutions using LLMs, retrieval-augmented generation and tool calling
Develop Python services, reusable libraries, data pipelines and APIs across multiple systems of record
Create evaluation frameworks for ML and generative AI solutions
Implement human-in-the-loop controls, guardrails and audit trails for agentic workflows
Document end-to-end data lineage from sources through models, prompts and outputs
Build agentic AI solutions that use large language models, retrieval-augmented generation, tools, APIs and workflow orchestration
Develop robust Python services, reusable libraries, data pipelines and APIs that integrate structured and unstructured data from multiple Systems of Record.
Create evaluation frameworks for ML and generative AI solutions
Implement appropriate human-in-the-loop controls, guardrails, audit trails, access controls, fallback paths and approval checkpoints for agentic workflows.
Document and maintain end-to-end data lineage from source systems through transformations, features, models, prompts, agent actions and downstream outputs.
Bachelor's or Master's degree in Computer Science, Data Science, Machine Learning, Engineering, Statistics, Mathematics or a related quantitative discipline.
5+ years of professional experience building data analytics, machine learning or AI solutions, with demonstrated ownership of solutions beyond experimentation and into production.
Practical knowledge of supervised and unsupervised learning, model selection, benchmarking, error analysis and explain ability.
Hands-on experience building and deploying generative AI or agentic AI solutions using LLMs, retrieval-augmented generation, embeddings, vector search, tool calling, prompt management, multi-step orchestration using LangGraph and MCP
Experience designing production data/ML pipelines and services using technologies such as SQL, Spark, Airflow, Databricks, REST APIs, Git, Docker and CI/CD.
Experience working with relational and NoSQL stores, large and heterogeneous datasets, and structured and unstructured information.
Required Skills: - Bachelor's or Master's degree in Computer Science, Data Science, Machine Learning, Engineering, Statistics, Mathematics or a related quantitative discipline. - 5+ years of professional experience building data analytics, machine learning or AI solutions, with demonstrated ownership of solutions beyond experimentation and into production.
From the employer’s posting.
Actively hiringFirst seen by us 1 day ago, still listed, and not a repost of an earlier posting.
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In line with similar jobs
$109K–$204K against $154K–$225K, the middle half of what similar US postings state.
From 2,958 postings in the last year. Stated ranges, not salaries paid.
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Under the GRM Data Strategy & Management leadership team, the Data Analyst / AI Engineer will design, build and operationalize quantitative models and agentic AI solutions for complex risk and data-management use cases. This is a hands-on role for an experienced practitioner who can move from problem framing and data discovery through experimentation, production deployment, monitoring and continuous improvement. The role will partner with risk subject-matter experts, data owners, technology teams and governance partners to deliver explainable, scalable and controlled solutions in a highly regulated environment. The successful candidate will combine strong Python and data engineering skills with basic understanding of data strategy, data lineage, metadata, data quality and data governance. The candidate should be able to translate business and control objectives into production-grade data and AI products, while documenting data provenance, model behavior, decisions and human oversight. Responsibilities:
- Build agentic AI solutions that use large language models, retrieval-augmented generation, tools, APIs and workflow orchestration to support research, analysis, decision support and operational processes. - Develop robust Python services, reusable libraries, data pipelines and APIs that integrate structured and unstructured data from multiple Systems of Record. - Create evaluation frameworks for ML and generative AI solutions, including accuracy, precision/recall, robustness, latency, cost, hallucination, groundedness and task-completion measures.
- 5+ years of professional experience building data analytics, machine learning or AI solutions, with demonstrated ownership of solutions beyond experimentation and into production. - Advanced hands-on Python development, including clean, testable and modular code; experience with pandas, NumPy, scikit-learn and at least one deep-learning framework such as PyTorch or TensorFlow. - Practical knowledge of supervised and unsupervised learning, model selection, benchmarking, error analysis and explain ability.
- Hands-on experience building and deploying generative AI or agentic AI solutions using LLMs, retrieval-augmented generation, embeddings, vector search, tool calling, prompt management, multi-step orchestration using LangGraph and MCP - Experience designing production data/ML pipelines and services using technologies such as SQL, Spark, Airflow, Databricks, REST APIs, Git, Docker and CI/CD. - Fluency in data strategy, including authoritative-source selection, data-product thinking, target-state architecture, reuse, interoperability and business-value alignment.
- Strong working knowledge of data governance, including data ownership, classification, quality, privacy, access, retention, controls and issue remediation. - Exposure to modern data platforms and storage patterns such as Snowflake, Databricks, Delta Lake, Apache Iceberg, Parquet, JSON or Avro. - Experience working with relational and NoSQL stores, large and heterogeneous datasets, and structured and unstructured information.
- Exposure to modern data platforms and storage patterns such as Snowflake, Databricks, Delta Lake, Apache Iceberg, Parquet, JSON or Avro. - Experience working with relational and NoSQL stores, large and heterogeneous datasets, and structured and unstructured information. - Ability to operate effectively in a regulated environment with strong documentation, change management, validation, testing and audit-readiness expectations.
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We file this job under Data Leadership, by the work the posting describes.
Data leaders run data teams or design how a company's data fits together. Managers hire, set priorities and answer for whether the data work pays off; architects choose the systems and the shape of the data.
Expect years of hands-on data work, experience leading people or projects, and the ability to explain tradeoffs to executives.
Unlike a senior engineer or analyst, most of a data leader's week goes to people, planning and decisions rather than building.
The government has no code for data leaders, so these figures are for the closest group, computer and information systems managers, which includes data processing and data operations managers.
Source: US Bureau of Labor Statistics, Occupational Employment and Wage Statistics (May 2025) and Employment Projections (2025 to 2035). Occupation code 11-3021.
Job Description:
At Bank of America, we are guided by a common purpose to help make financial lives better through the power of every connection. We do this by driving Responsible Growth and delivering for our clients, teammates, communities and shareholders every day. Being a Great Place to Work and providing a culture of caring is core to how we drive Responsible Growth. We are intentional about fostering an inclusive workplace where every teammate has the opportunity to succeed, build a career and contribute to our shared success. This includes attracting and developing exceptional talent, recognizing and rewarding performance, and supporting our teammates’ physical, emotional, and financial wellness through affordable, competitive and flexible benefits. We value the unique perspectives individuals bring from all backgrounds and career paths - whether shaped by military service, community college education, or a wide range of work and life experiences. These journeys foster resilience, leadership and innovation, strengthening our workforce and positively impact the communities we serve. Bank of America is committed to an in-office culture that supports collaboration, engagement, and career development. Our approach includes clear in-office expectations, while providing an appropriate level of flexibility based on role-specific responsibilities and business needs. At Bank of America, you can build a successful career with opportunities to learn, grow, and make an impact. Join us!
Job Description:
Under the GRM Data Strategy & Management leadership team, the Data Analyst / AI Engineer will design, build and operationalize quantitative models and agentic AI solutions for complex risk and data-management use cases. This is a hands-on role for an experienced practitioner who can move from problem framing and data discovery through experimentation, production deployment, monitoring and continuous improvement. The role will partner with risk subject-matter experts, data owners, technology teams and governance partners to deliver explainable, scalable and controlled solutions in a highly regulated environment.
The successful candidate will combine strong Python and data engineering skills with basic understanding of data strategy, data lineage, metadata, data quality and data governance. The candidate should be able to translate business and control objectives into production-grade data and AI products, while documenting data provenance, model behavior, decisions and human oversight.
Responsibilities:
Required Skills:
What Success Looks Like:
Skills:
Shift:
1st shift (United States of America)Hours Per Week:
40Pay Transparency details
US - NJ - Jersey City - 525 Washington Blvd (NJ2525)Pay and benefits informationPay range$109,100.00 - $203,500.00 annualized salary, offers to be determined based on experience, education and skill set.Discretionary incentive eligibleThis role is eligible to participate in the annual discretionary plan. Employees are eligible for an annual discretionary award based on their overall individual performance results and behaviors, the performance and contributions of their line of business and/or group; and the overall success of the Company.BenefitsThis role is currently benefits eligible. We provide industry-leading benefits, access to paid time off, resources and support to our employees so they can make a genuine impact and contribute to the sustainable growth of our business and the communities we serve.Selected passages from the saved posting. Check the full description for conditions and exceptions.
Pay range $109,100.00 - $203,500.00 annualized salary, offers to be determined based on experience, education and skill set. Discretionary incentive eligible
Jersey City
Working pattern and location restrictions need checking in the full posting.
No clear work-authorization passage found. Eligibility is unconfirmed.