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AI Engineer

Eehb Fa Us2 Oraclecloud Com Cx 2005 · MA, United States · Active · Oracle Recruiting Cloud / Fusion HCM

Job facts

FieldValue
CompanyEehb Fa Us2 Oraclecloud Com Cx 2005
TitleAI Engineer
Normalized title-
Department / teamIT and Risk
LocationMA, United States
Work model-
Employment type-
Salary-
Statusactive
ATS providerOracle Recruiting Cloud / Fusion HCM
Posted / first seen2026-05-18 / 2026-05-31
Changed / last seen2026-06-02 / 2026-06-06

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Department jobsActive postings in IT and Risk.Open
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Original postingCanonical source or apply URL captured from the ATS.Open

Linked records

CompanyEehb Fa Us2 Oraclecloud Com Cx 2005
Source7cc96841-ae6c-45f3-9cd2-2ed83fc4ec98
ATS providerOracle Recruiting Cloud / Fusion HCM

Description

Description We are seeking an experienced AI Engineer to join our AI team and drive the development and deployment of advanced machine learning and generative AI solutions. This role will be instrumental in building intelligent systems that leverage both traditional ML techniques and cutting-edge generative AI technologies to deliver business value. Key Responsibilities Design, develop, and deploy production-grade machine learning models and generative AI applications using state-of-the-art frameworks and methodologies Build and optimize Retrieval Augmented Generation (RAG) pipelines for enterprise knowledge systems and intelligent document processing Implement Model Context Protocol (MCP) and agent-to-agent (A2A) context engineering solutions for complex AI orchestration Develop feedback loops and monitoring systems to continuously improve model performance and ensure reliability Architect and maintain MLOps pipelines for model training, versioning, deployment, and monitoring Create AI agents using LangChain and LangGraph frameworks for autonomous decision-making and workflow automation Collaborate with data engineering teams to build robust data pipelines and feature engineering workflows Mentor junior data scientists and contribute to the development of AI best practices and standards Required Qualifications 5+ years of experience in data science, machine learning, or related field Strong expertise in generative AI technologies including LLMs, prompt engineering, and context management Hands-on experience building RAG systems with vector databases and semantic search Proficiency with LangChain, LangGraph, and agent-based architectures Experience with Model Context Protocol (MCP) and A2A context engineering patterns Deep understanding of traditional machine learning algorithms (regression, classification, clustering, time series) Strong MLOps experience including CI/CD pipelines, model versioning, and monitoring frameworks Proficiency with Hugging Face ecosystem (Transformers, Datasets, Hub) Experience with TensorFlow and/or PyTorch for model development Strong Python programming skills with experience in production-grade code Experience designing and implementing feedback loops for continuous model improvement Knowledge of cloud platforms (AWS, Azure, or GCP) for ML deployment Excellent communication skills with ability to explain complex technical concepts to non-technical stakeholders Preferred Qualifications Experience in regulated industries (financial services, healthcare) Knowledge of data governance and model risk management frameworks Experience with distributed training and large-scale model deployment Familiarity with other frameworks like Anthropic's Claude API, OpenAI API Experience with vector databases (Pinecone, Weaviate, Chroma) Understanding of prompt engineering and fine-tuning techniques Contributions to open-source ML/AI projects Technical Skills Languages: Python, SQL ML Frameworks: TensorFlow, PyTorch, scikit-learn GenAI Tools: LangChain, LangGraph, Hugging Face MLOps: Docker, Kubernetes, MLflow, Weights & Biases Cloud: AWS/Azure/GCP machine learning services Data: Pandas, NumPy, vector databases Version Control: Git, CI/CD pipelines Our goal is to offer our colleagues the most generous benefits package possible. We strive to provide colleagues with a comprehensive benefits package and an environment that supports a healthy work-life balance. Benefits include competitive compensation with performance incentive awards, Health Insurance, Dental Insurance, a 401K and DC Plan for your retirement, LTD & Life Insurance, Day Care Reimbursement, Tuition Assistance for graduate and undergraduate programs, an award-winning Wellness program and much more! At Rockland Trust you'll find a respectful and inclusive environment where everyone is given the chance to succeed. We are an equal opportunity employer, and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, marital status, national origin, disability status, protected veteran status, or any other characteristic protected by law. Reasonable accommodation may be made to enable individuals with disabilities to perform the essential functions.

Full job record

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Org IDb0690c74-d7f7-421b-b9bc-591a4a78fa12
Source ID7cc96841-ae6c-45f3-9cd2-2ed83fc4ec98
Board ID7cc96841-ae6c-45f3-9cd2-2ed83fc4ec98
Provideroracle_hcm
Provider Job Key2649
TitleAI Engineer
Normalized Title—
Statusactive
Activeyes
Location TextMA, United States
DepartmentIT and Risk
Team—
Employment Type—
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CountryUnited States
RegionMA
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Salary RawDescription We are seeking an experienced AI Engineer to join our AI team and drive the development and deployment of advanced machine learning and generative AI solutions. This role will be instrumental in building intelligent systems that leverage both traditional ML techniques and cutting-edge generative AI technologies to deliver business value. Key Responsibilities Design, develop, and deploy production-grade machine learning models and generative AI applications using state-of-the-art frameworks and methodologies Build and optimize Retrieval Augmented Generation (RAG) pipelines for enterprise knowledge systems and intelligent document processing Implement Model Context Protocol (MCP) and agent-to-agent (A2A) context engineering solutions for complex AI orchestration Develop feedback loops and monitoring systems to continuously improve model performance and ensure reliability Architect and maintain MLOps pipelines for model training, versioning, deployment, and monitoring Create AI agents using LangChain and LangGraph frameworks for autonomous decision-making and workflow automation Collaborate with data engineering teams to build robust data pipelines and feature engineering workflows Mentor junior data scientists and contribute to the development of AI best practices and standards Required Qualifications 5+ years of experience in data science, machine learning, or related field Strong expertise in generative AI technologies including LLMs, prompt engineering, and context management Hands-on experience building RAG systems with vector databases and semantic search Proficiency with LangChain, LangGraph, and agent-based architectures Experience with Model Context Protocol (MCP) and A2A context engineering patterns Deep understanding of traditional machine learning algorithms (regression, classification, clustering, time series) Strong MLOps experience including CI/CD pipelines, model versioning, and monitoring frameworks Proficiency with Hugging Face ecosystem (Transformers, Datasets, Hub) Experience with TensorFlow and/or PyTorch for model development Strong Python programming skills with experience in production-grade code Experience designing and implementing feedback loops for continuous model improvement Knowledge of cloud platforms (AWS, Azure, or GCP) for ML deployment Excellent communication skills with ability to explain complex technical concepts to non-technical stakeholders Preferred Qualifications Experience in regulated industries (financial services, healthcare) Knowledge of data governance and model risk management frameworks Experience with distributed training and large-scale model deployment Familiarity with other frameworks like Anthropic's Claude API, OpenAI API Experience with vector databases (Pinecone, Weaviate, Chroma) Understanding of prompt engineering and fine-tuning techniques Contributions to open-source ML/AI projects Technical Skills Languages: Python, SQL ML Frameworks: TensorFlow, PyTorch, scikit-learn GenAI Tools: LangChain, LangGraph, Hugging Face MLOps: Docker, Kubernetes, MLflow, Weights & Biases Cloud: AWS/Azure/GCP machine learning services Data: Pandas, NumPy, vector databases Version Control: Git, CI/CD pipelines Our goal is to offer our colleagues the most generous benefits package possible. We strive to provide colleagues with a comprehensive benefits package and an environment that supports a healthy work-life balance. Benefits include competitive compensation with performance incentive awards, Health Insurance, Dental Insurance, a 401K and DC Plan for your retirement, LTD & Life Insurance, Day Care Reimbursement, Tuition Assistance for graduate and undergraduate programs, an award-winning Wellness program and much more! At Rockland Trust you'll find a respectful and inclusive environment where everyone is given the chance to succeed. We are an equal opportunity employer, and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, marital status, national origin, disability status, protected veteran status, or any other characteristic protected by law. Reasonable accommodation may be made to enable individuals with disabilities to perform the essential functions.
Salary Min—
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Source URLhttps://eehb.fa.us2.oraclecloud.com/hcmUI/CandidateExperience/en/sites/cx_2005/job/2649
Apply URLhttps://eehb.fa.us2.oraclecloud.com/hcmUI/CandidateExperience/en/sites/cx_2005/job/2649
First Seen At2026-05-31 18:04:19Z
Last Seen At2026-06-06 11:05:20Z
Last Checked At2026-06-06 11:05:20Z
Last Changed At2026-06-02 11:49:51Z
Inactive At—
Source Posted At2026-05-18 21:00:37Z
Source Updated At—
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line-height: 115%;\">Understanding of prompt engineering and fine-tuning techniques</span></span></li><li><span style=\"font-family: Roboto;\"><span lang=\"EN\" style=\"font-size: 12pt; line-height: 115%;\">Contributions to open-source ML/AI projects</span></span></li></ul><h2 style=\"margin-bottom: 4pt; break-after: auto;\"><span style=\"font-family: Roboto;\"><span lang=\"EN\" style=\"font-size: 17pt; line-height: 115%;\"><strong>Technical Skills</strong></span></span></h2><ul style=\"padding-left: 48px;\"><li><span style=\"font-family: Roboto;\"><span lang=\"EN\" style=\"font-size: 12pt; line-height: 115%;\">Languages: Python, SQL</span></span></li><li><span style=\"font-family: Roboto;\"><span lang=\"EN\" style=\"font-size: 12pt; line-height: 115%;\">ML Frameworks: TensorFlow, PyTorch, scikit-learn</span></span></li><li><span style=\"font-family: Roboto;\"><span lang=\"EN\" style=\"font-size: 12pt; line-height: 115%;\">GenAI Tools: LangChain, LangGraph, Hugging Face</span></span></li><li><span style=\"font-family: Roboto;\"><span lang=\"EN\" style=\"font-size: 12pt; line-height: 115%;\">MLOps: Docker, Kubernetes, MLflow, Weights &amp; Biases</span></span></li><li><span style=\"font-family: Roboto;\"><span lang=\"EN\" style=\"font-size: 12pt; line-height: 115%;\">Cloud: AWS/Azure/GCP machine learning services</span></span></li><li><span style=\"font-family: Roboto;\"><span lang=\"EN\" style=\"font-size: 12pt; line-height: 115%;\">Data: Pandas, NumPy, vector databases</span></span></li><li><span style=\"font-family: Roboto;\"><span lang=\"EN\" style=\"font-size: 12pt; line-height: 115%;\">Version Control: Git, CI/CD pipelines</span></span></li></ul><p>&nbsp;</p><p><span style=\"font-family: Roboto;\"><i><span lang=\"EN\" style=\"font-size: 12pt; line-height: 115%;\">Our goal is to offer our colleagues the most generous benefits package possible. We strive to provide colleagues with a comprehensive benefits package and an environment that supports a healthy work-life balance. Benefits include competitive compensation with performance incentive awards, Health Insurance, Dental Insurance, a 401K and DC Plan for your retirement, LTD &amp; Life Insurance, Day Care Reimbursement, Tuition Assistance for graduate and undergraduate programs, an award-winning Wellness program and much more!</span></i></span><br><br><span style=\"font-family: Roboto;\"><i><span lang=\"EN\" style=\"font-size: 12pt; line-height: 115%;\">At Rockland Trust you'll find a respectful and inclusive environment where everyone is given the chance to succeed. We are an equal opportunity employer, and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, marital status, national origin, disability status, protected veteran status, or any other characteristic protected by law.</span></i></span><br><br><span style=\"font-family: Roboto;\"><i><span lang=\"EN\" style=\"font-size: 12pt; line-height: 115%;\">Reasonable accommodation may be made to enable individuals with disabilities to perform the essential functions.</span></i></span><br><br>&nbsp;</p>",
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