ZipRecruiter

Log In

1

Associate Responsible Ai Jobs (NOW HIRING)

IBM

Associate Data Scientist 2027 - AI & Data Analytics

New York, NY · On-site

$64K - $65K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

... AI-enabled transformation. As an Associate, you will work alongside a global cohort of diverse ... In your role, you may be responsible for: * Prepare, cleanse, join, and analyze structured, semi ...

New

IBM

Associate Data Scientist 2027 - AI & Data Analytics

Durham, NC · On-site

$57K - $57K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

... AI-enabled transformation. As an Associate, you will work alongside a global cohort of diverse ... In your role, you may be responsible for: * Prepare, cleanse, join, and analyze structured, semi ...

New

AIToolboard

Senior AI-ML Engineer

Suitland, MD · On-site

$170 - $230/hr

... of Responsible AI (RAI) principles, metrics, and evaluation methodologies. • Relevant certifications such as: • Azure Solutions Architect • AI Engineer Associate (or equivalent) • AWS ...

Exelixis

Associate Engineer - AI and Agentic

Alameda, CA

$103K - $145K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

SUMMARY/JOB PURPOSE The Associate Engineer - AI and Agentics is responsible for building foundational AI-enabled applications, prototypes, prompts, tests, documentation, and agentic automations while ...

previous pagenext page

Showing results 21-40

All JobsAssociate Responsible Ai Jobs

Associate Responsible Ai information

See salary details

$46K

$108.2K

$172.5K

How much do associate responsible ai jobs pay per year?

As of Aug 18, 2026, the average yearly pay for associate responsible ai in the United States is $108,160.00, according to ZipRecruiter salary data. Most workers in this role earn between $80,000.00 and $130,000.00 per year, depending on experience, location, and employer.

What is an Associate Responsible AI?

Associate Responsible AI professionals are entry- or early-career roles focused on ensuring that artificial intelligence systems are developed and deployed ethically, safely, and fairly. They typically help monitor AI models for bias, assess potential risks, and support teams in implementing responsible AI practices. These professionals often work closely with data scientists, engineers, and policy teams to align AI solutions with ethical guidelines and regulatory standards. Their work is crucial in building trust in AI technologies and minimizing unintended negative impacts.

What are some typical challenges faced by an Associate Responsible AI when collaborating with cross-functional teams?

Associate Responsible AI professionals often work closely with diverse teams, including data scientists, engineers, product managers, and legal experts. A common challenge is ensuring that ethical guidelines and fairness considerations are integrated into technical workflows, which may require translating complex AI policies into practical actions. Balancing innovation with regulatory compliance and addressing concerns from stakeholders with varying levels of AI expertise can also be demanding. Clear communication and proactive collaboration are key to overcoming these challenges and fostering responsible AI practices within the organization.

What are the key skills and qualifications needed to thrive as an Associate Responsible AI, and why are they important?

To thrive as an Associate Responsible AI, you need a solid foundation in data science, machine learning concepts, and ethical considerations, typically supported by a degree in computer science or a related field. Familiarity with Python, TensorFlow or PyTorch, and tools like Fairness Indicators or interpretability libraries, as well as knowledge of regulatory frameworks, is important. Strong analytical thinking, attention to detail, and the ability to communicate complex topics clearly are essential soft skills. These skills ensure the development and deployment of AI systems that are ethical, transparent, and compliant with industry standards.

What is the difference between Associate Responsible Ai vs Data Analyst?

AspectAssociate Responsible AiData Analyst
Required CredentialsBachelor's in Computer Science, Data Science, or related field; knowledge of AI/ML conceptsBachelor's in Statistics, Mathematics, or related field; proficiency in data analysis tools
Work EnvironmentTech companies, AI development teams, research labsBusiness, finance, healthcare, or marketing departments
Employer & Industry UsageAI-focused organizations, tech firms, startupsVarious industries utilizing data for decision-making
Common Search & Comparison IntentUnderstanding AI-specific roles and responsibilitiesAnalyzing data to inform business strategies

The Associate Responsible Ai role focuses on developing and managing AI systems, requiring knowledge of AI/ML concepts. In contrast, Data Analysts primarily interpret data to support business decisions. While both roles involve data handling, their focus areas and skill sets differ, with Associate Responsible Ai more centered on AI development and Data Analysts on data interpretation.

More about Associate Responsible Ai jobs

What cities are hiring for Associate Responsible Ai jobs?

Cities with the most Associate Responsible Ai job openings:

What are the most commonly searched types of Responsible Ai jobs?

The most popular types of Responsible Ai jobs are:

What states have the most Associate Responsible Ai jobs?

States with the most job openings for Associate Responsible Ai jobs include:

What job categories do people searching Associate Responsible Ai jobs look for?

The top searched job categories for Associate Responsible Ai jobs are:

Associate Responsible Ai jobs near you
Infographic showing various Associate Responsible Ai job openings in the United States as of August 2026, with employment types broken down into 1% As Needed, 79% Full Time, 17% Part Time, 2% Contract, and 1% Nights. Highlights an 94% Physical, 2% Hybrid, and 4% Remote job distribution, with an average salary of $108,160 per year, or $52 per hour.

AI Platform Director- Data Engineering

First-Citizens Bank & Trust Company

Phoenix, AZ • On-site

$251K/yr

Other

Re-posted yesterday

First Citizens Bank rating

7.4

Company rating: 7.4 out of 10

Based on 106 frontline employees who took The Breakroom Quiz

106th of 171 rated banks

Job description

Overview
We are seeking an experienced Director to lead the AI platform engineering and enablement functions within our expanding Cloud Data and AI Platform organization. This role is instrumental in building, operationalizing, and governing the next-generation AI and machine learning ecosystem that powers advanced analytics and responsible AI adoption across the bank. You will own the end-to-end AI lifecycle-from data and model development to MLOps, deployment, governance, and responsible AI compliance in a regulated financial environment.
As a seasoned technology leader, you will bring your expertise in enterprise AI architecture, model operations, and platform engineering to partner with key business, technology, and governance stakeholders-ensuring AI initiatives are responsibly implemented, well-controlled, and deliver measurable value.
Responsibilities
AWS AI/ML Platform Ownership
  • Architect and lead AI/ML workloads on AWS including:
    • Amazon SageMaker (training, deployment, model registry)
    • AWS Bedrock (foundation models and GenAI use cases)
    • AWS Lambda, ECS, EKS for model serving
    • S3, Glue, Snowflake for data pipelines
  • Define enterprise standards for MLOps, feature stores, and model lifecycle management
  • Build and maintain integrations with enterprise platforms for data ingestion, metadata management, tokenization, and control evidence generation.
  • Continuously enhance the platform's automation, resilience, and observability, ensuring robust end-to-end telemetry for both model and data pipelines.
  • Collaborate with Enterprise Risk, Legal, Compliance, and Model Risk partners to embed Responsible AI principles and audit-ready control evidence directly into platform design.

Machine Learning & GenAI Execution
  • Oversee development of ML models across all business units including Fraud detection systems, Credit scoring and risk modeling, Customer segmentation and personalization, Liquidity related modeling etc.
  • Lead GenAI initiatives using LLMs for Document intelligence, AI copilots etc.


Data & Engineering Collaboration
  • Partner with data engineering teams to ensure high-quality, governed datasets
  • Define feature engineering and data product standards in Snowflake / data lake environments
  • Integrate real-time streaming data for low-latency decision systems


Model Governance & Risk Compliance
  • Define and enforce standards, patterns, and guardrails for model deployment, explainability, lineage, and monitoring in alignment with enterprise risk, compliance, and security frameworks.
  • Partner closely with leaders across Responsible AI Governance, AI Portfolio Management, AI Fluency & Engagement, and Applied Data Science & GenAI, in collaboration with enterprise risk partners, to implement a responsible AI framework that embeds audit-ready control evidence and governance mechanisms directly into the platform's core design to ensure the platform supports scalable, ethical, compliant, and high-impact AI delivery.
  • Implement model explainability (SHAP, LIME, interpretability frameworks)
  • Establish responsible AI policies (bias detection, fairness, auditability)


Team Building & Leadership
  • Develop and mentor engineering talent, championing Agile practices, continuous learning, and adoption of emerging AI and data engineering technologies.
  • Mentor senior technical leaders and establish engineering best practices
  • Oversee technical due diligence, onboarding, and management of strategic AI and GenAI vendors and tools, ensuring compatibility with enterprise architecture and control

Qualifications
Bachelor's Degree and 8 years of experience in Information Technology including application development, support roles, and management. OR High School Diploma or GED and 12 years of experience in Information Technology including application development, support roles, and management.
Qualifications
  • Deep hands-on experience building production ML systems on AWS
  • 2+ years in AI/ML, data science, or data engineering leadership roles
  • Strong knowledge of:
    • Machine learning (XGBoost, deep learning, NLP, time series)
    • MLOps practices (CI/CD, model monitoring, drift detection)
    • Distributed systems and cloud architecture
  • Strong programming background in Python + SQL (Scala/Java a plus)
  • Experience working in regulated environments with model governance

Preferred Qualifications
  • Experience with Generative AI / LLM platforms (Bedrock, OpenAI, Claude APIs)
  • Experience in financial services, banking, fintech, or insurance
  • Familiarity with data platforms like Snowflake, Databricks

Benefits are an integral part of total rewards and First Citizens Bank is committed to providing a competitive, thoughtfully designed and quality benefits program to meet the needs of our associates. More information can be found at
$descr2
$descr3

What First Citizens Bank employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom

Apply