cybersecurity analyst ii (remote)

ai engineer

ai/ml developer ii (remote) Jobs in Atlanta

ai/ml developer ii (remote)

artificial intelligence engineer – remote Jobs in Atlanta

controls support technician il Jobs in Atlanta

controls support technician il

ai ml developer ii remote

The Home Depot

<div>
 Req178618
 <br/>
 <br/>
 <strong>
  Position Purpose
  <br/>
  <br/>
 </strong>
 The Software Engineer II is responsible for independently developing and assisting in the design of a product that our customers and associates love. As a Software Engineer II, you will be part of a dynamic team with engineers of all experience levels who help each other build and grow technical and leadership skills while creating, deploying, and supporting production applications. In addition, Software Engineer II may be involved in configuration, security, resilience, performance tuning and production monitoring.
 <br/>
 <br/>
 We are dedicated to pushing the boundaries of technology to create solutions that make a difference to the company. Our team is looking for a talented AI/ML developer to join us developing cutting-edge machine learning models and applications for the Company.
 <br/>
 <br/>
 <strong>
  Key Responsibilities
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   60% Delivery and Execution &ndash; Collaborates and pairs with other product team members (UX, engineering, and product management) to create secure, reliable, scalable software solutions; Documents, reviews and ensures that all quality and change control standards are met; Works with Product Team to ensure user stories that are developer-ready, easy to understand, and testable; Writes custom code or scripts to automate infrastructure, monitoring services, and test cases; Writes custom code or scripts to do destructive testing to ensure adequate resiliency in production; Program configuration/modification and setup activities on large projects using HD approved methodology; Configures commercial off the shelf solutions to align with evolving business needs Creates meaningful dashboards, logging, alerting, and responses to ensure that issues are captured and addressed proactively
  </li>
  <li>
   20% Learning &ndash; Actively seeks ways to grow and be challenged using both formal and informal development channels; Learns through successful and failed experiment when tackling new problems
  </li>
  <li>
   20% Plans and Aligns &ndash; Collaborates with other team members in agile processes; Assists in creating new and better ways for the team to be successful; Relates openly and comfortably with diverse groups of people; Builds partnerships and works collaboratively with others to meet shared objectives
  </li>
  <li>
   Design and develop machine learning models and algorithms to address business challenges.
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Direct Manager/Direct Reports
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   This position typically repots to Software Engineer Manager or Sr. Manager
  </li>
  <li>
   This position has 0 Direct Reports
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Travel Requirements
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   No travel required.
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Physical Requirements
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Most of the time is spent sitting in a comfortable position and there is frequent opportunity to move about. On rare occasions there may be a need to move or lift light articles.
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Working Conditions
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Located in a comfortable indoor area. Any unpleasant conditions would be infrequent and not objectionable.
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Minimum Qualifications
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Must be eighteen years of age or older.
  </li>
  <li>
   Must be legally permitted to work in the United States.
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Preferred Qualifications
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   1-3 years of relevant work experience
  </li>
  <li>
   Extensive experience in AI, machine learning.
  </li>
  <li>
   Strong understanding of AI use cases and their application in business contexts.
  </li>
  <li>
   Proven track record of developing AI use case from concept to launch.
  </li>
  <li>
   Strong programming skills in Golang, Python.
  </li>
  <li>
   Experience building and maintaining robust data pipelines, ETL/ELT workflows, and data ingestion processes.
  </li>
  <li>
   Solid understanding of machine learning algorithms and principles.
  </li>
  <li>
   Experience in Google Cloud Platform and AI/ML related components such as Vertex AI, BigQueryML, and AutoML
  </li>
  <li>
   Experience with data preprocessing, data ingestion and model evaluation.
  </li>
  <li>
   Strong problem-solving skills and ability to work independently and as part of a team.
  </li>
  <li>
   Experience in writing SQL queries against a relational database
  </li>
  <li>
   Experience in version control systems and collaborative development tools.
  </li>
  <li>
   Experience with cloud platforms (Azure, GCP)
  </li>
  <li>
   Experience in source code version control (e.g. Git)
  </li>
  <li>
   Experience in Relational or NoSQL database technology
  </li>
  <li>
   Experience in cloud computing techniques
  </li>
  <li>
   Experience in CI/CD tools
  </li>
  <li>
   Experience in microservice-based architecture
  </li>
  <li>
   Experience with modern debugging and root cause analysis techniques
  </li>
  <li>
   Exposure to security frameworks for user and services authorization and authentication
  </li>
  <li>
   Exposure to creating and executing unit, functional, destructive and performance tests
  </li>
  <li>
   Excellent communication skills to convey technical concepts to non-technical stakeholders.
  </li>
  <li>
   Experience in REST and effective web service design
  </li>
  <li>
   Experience in production systems design including High Availability, Disaster Recovery, Performance, Efficiency, and Security
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Minimum Education
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   The knowledge, skills and abilities typically acquired through the completion of a bachelor&rsquo;s degree program or equivalent degree in a field of study related to the job.
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Minimum Years Of Work Experience
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   2-3+ years
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Competencies
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Global Perspective
  </li>
  <li>
   Manages Ambiguity
  </li>
  <li>
   Nimble Learning
  </li>
  <li>
   Self-Development
  </li>
  <li>
   Collaborates
  </li>
  <li>
   Cultivates Innovation
  </li>
  <li>
   Situational Adaptability
  </li>
  <li>
   Communicates Effectively
  </li>
  <li>
   Drives Results
  </li>
  <li>
   Interpersonal Savvy
  </li>
 </ul>
</div>


AI/ML Developer II (Remote)

YO IT Consulting

<div>
 <strong>
  Job Title:
 </strong>
 AI/ML Engineer
 <br/>
 <br/>
 <strong>
  Job Type:
 </strong>
 Full-Time
 <br/>
 <br/>
 <strong>
  Job Summary
  <br/>
  <br/>
 </strong>
 Join our team as a AI/ML Engineer and play a pivotal role in driving mission-critical government initiatives while also contributing to proprietary AI infrastructure, you&rsquo;ll harness advanced large language models (LLMs), retrieval-augmented generation (RAG), and multi-agent orchestration to deliver secure, scalable, and impactful machine learning systems. You&rsquo;ll work closely with cross-functional experts, leveraging frontier AI platforms and the latest in agentic AI tooling.
 <br/>
 <br/>
 <strong>
  Key Responsibilities
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Design, implement, and optimize AI/ML models particularly leveraging LLMs, RAG, and prompt engineering for production grade applications.
  </li>
  <li>
   Develop and orchestrate multi-agent systems using frameworks such as LangGraph and LangChain.
  </li>
  <li>
   Integrate and deploy solutions on secure cloud environments, including AWS GovCloud, Google GovCloud, Azure IL5+, Vertex AI, and AWS Bedrock.
  </li>
  <li>
   Build robust data pipelines, manage ETL processes, and develop metadata catalogs and ontologies to ensure high-quality data for AI training and inference.
  </li>
  <li>
   Create and maintain REST APIs and SDK integrations to facilitate seamless data and model interactions.
  </li>
  <li>
   Collaborate with product, security, and engineering teams to ensure best-in-class delivery, following secure coding and DevOps best practices (CI/CD).
  </li>
  <li>
   Document technical decisions and communicate complex concepts clearly to both technical and non-technical stakeholders.
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Required Skills And Qualifications
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Proficiency in Python for AI/ML development, including experience with REST APIs and SDK integration.
  </li>
  <li>
   Hands-on experience with LLMs, RAG systems, and prompt engineering in production environments.
  </li>
  <li>
   Familiarity with multi-agent orchestration, tool use, and frameworks like LangGraph and LangChain.
  </li>
  <li>
   Deep understanding of cloud AI services (AWS GovCloud, Google GovCloud, Azure IL5+, Vertex AI, AWS Bedrock).
  </li>
  <li>
   Background in building and maintaining data pipelines, ontologies, metadata catalogs, and ETL processes.
  </li>
  <li>
   Strong grasp of secure coding and modern DevOps practices (CI/CD pipelines).
  </li>
  <li>
   Exceptional written and verbal communication skills for effective collaboration and documentation.
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Preferred Qualifications
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Experience with AI/agentic platforms, such as Anthropic for Gov, OpenAI Enterprise, Gemini Enterprise, or Grok Enterprise.
  </li>
  <li>
   Knowledge of metadata catalog platforms (MCP) and advanced API development techniques.
  </li>
  <li>
   Prior exposure to government or highly regulated cloud environments and compliance standards.
  </li>
 </ul>
</div>


Artificial Intelligence Engineer – Remote

Capgemini

<div><div><div><div><p>Choosing Capgemini means choosing a company where you will be empowered to shape your career in the way you&rsquo;d like, where you&rsquo;ll be supported and inspired by a collaborative community of colleagues around the world, and where you&rsquo;ll be able to reimagine what&rsquo;s possible. Join us and help the world&rsquo;s leading organizations unlock the value of technology and build a more sustainable, more inclusive world.</p>
<div><div><div><h2 class="jobSectionHeader"><b>Job Location : Malvern, PA (Onsite/Hybrid)</b></h2>
</div></div><div></div><div><div><h2 class="jobSectionHeader"><b>Job Description</b></h2>
</div><div><div>We are looking for a highly experienced <b>AWS Data Scientist</b> with deep expertise in <b>Artificial Intelligence (AI), Machine Learning (ML), and advanced Python programming</b> to build and deploy scalable, cloud-native analytics solutions on AWS. The role requires hands-on experience across the full data science lifecycle and close collaboration with business and engineering teams.</div>
</div></div><div><div><h2 class="jobSectionHeader"><b>Required Skills &amp; Qualifications</b></h2>
</div><div><ul><li>Minimum <b>8+ years of experience</b> in Data Science, AI, or Machine Learning</li>
<li><b>Strong hands-on expertise in AI &amp; ML</b>, including supervised and unsupervised learning, NLP, or deep learning</li>
<li><b>Advanced Python programming skills</b>, including libraries such as Pandas, NumPy, Scikit-learn, TensorFlow, PyTorch</li>
<li>Extensive experience with AWS, especially <b>SageMaker, S3, Redshift, Glue, Athena, Lambda</b></li>
<li>Strong foundation in statistics, predictive modeling, and ML algorithms</li>
<li>Proficiency in SQL and experience with data visualization techniques</li>
<li>Excellent communication and stakeholder management skills</li>
</ul></div></div><div><div><h2 class="jobSectionHeader"><b>Key Responsibilities</b></h2>
</div><div><ul><li>Design, develop, and deploy AI/ML models and data science solutions on AWS</li>
<li>Build end-to-end ML pipelines using AWS services such as SageMaker, Lambda, EC2, and ECR</li>
<li>Perform advanced data analysis, feature engineering, model training, and optimization using Python</li>
<li>Work with large-scale datasets using AWS data services including S3, Glue, Athena, and Redshift</li>
<li>Implement MLOps practices for model deployment, monitoring, retraining, and version control</li>
<li>Translate complex business problems into AI/ML-driven solutions</li>
<li>Ensure adherence to data security, governance, and compliance standards</li>
</ul></div></div><div><div><h2 class="jobSectionHeader"><b>Preferred Qualifications</b></h2>
</div><div><ul><li>AWS Certifications (Machine Learning &ndash; Specialty or Solutions Architect)</li>
<li>Experience with big data technologies such as Spark</li>
<li>Exposure to real-time or streaming data pipelines</li>
<li>Background in financial services or regulated industries</li>
</ul></div></div></div><p>The base compensation range for this role in the posted location is: $80786 - 90892</p>
<p>Capgemini provides compensation range information in accordance with applicable national, state, provincial, and local pay transparency laws. The base compensation range listed for this position reflects the minimum and maximum target compensation Capgemini, in good faith, believes it may pay for the role at the time of this posting. This range may be subject to change as permitted by law.</p>
<p>The actual compensation offered to any candidate may fall outside of the posted range and will be determined based on multiple factors legally permitted in the applicable jurisdiction.</p>
<p>These may include, but are not limited to: Geographic location, Education and qualifications, Certifications and licenses, Relevant experience and skills, Seniority and performance, Market and business consideration, Internal pay equity.</p>
<p>It is not typical for candidates to be hired at or near the top of the posted compensation range.</p>
<p>In addition to base salary, this role may be eligible for additional compensation such as variable incentives, bonuses, or commissions, depending on the position and applicable laws.</p><br>
<p></p><p><b>Capgemini offers a comprehensive, non-negotiable benefits package to all regular, full-time employees.</b> In the U.S. and Canada, available benefits are determined by local policy and eligibility and may include:</p>
<ul><li>Paid time off based on employee grade (A-F), defined by policy: Vacation: 12-25 days, depending on grade, Company paid holidays, Personal Days, Sick Leave</li>
</ul><ul><li>Medical, dental, and vision coverage (or provincial healthcare coordination in Canada)</li>
<li>Retirement savings plans (e.g., 401(k) in the U.S., RRSP in Canada)</li>
<li>Life and disability insurance</li>
<li>Employee assistance programs</li>
<li>Other benefits as provided by local policy and eligibility</li>
</ul><p><b>Important Notice:</b> Compensation (including bonuses, commissions, or other forms of incentive pay) is not considered earned, vested, or payable until it becomes due under the terms of applicable plans or agreements and is subject to Capgemini&rsquo;s discretion, consistent with applicable laws. The Company reserves the right to amend or withdraw compensation programs at any time, within the limits of applicable legislation.</p><br>
<p></p><p><b>Disclaimers</b></p>
<p>Capgemini is an Equal Opportunity Employer encouraging inclusion in the workplace. Capgemini also participates in the Partnership Accreditation in Indigenous Relations (PAIR) program which supports meaningful engagement with Indigenous communities across Canada by promoting fairness, accessibility, inclusion and respect. We value the rich cultural heritage and contributions of Indigenous Peoples and actively work to create a welcoming and respectful environment. All qualified applicants will receive consideration for employment without regard to race, national origin, gender identity/expression, age, religion, disability, sexual orientation, genetics, veteran status, marital status or any other characteristic protected by law.</p>
<p>This is a general description of the Duties, Responsibilities and Qualifications required for this position. Physical, mental, sensory or environmental demands may be referenced in an attempt to communicate the manner in which this position traditionally is performed. Whenever necessary to provide individuals with disabilities an equal employment opportunity, Capgemini will consider reasonable accommodations that might involve varying job requirements and/or changing the way this job is performed, provided that such accommodation does not pose an undue hardship. Capgemini is committed to providing reasonable accommodation during our recruitment process. If you need assistance or accommodation, please reach out to your recruiting contact.</p>
<p>Please be aware that Capgemini may capture your image (video or screenshot) during the interview process and that image may be used for verification, including during the hiring and onboarding process.</p>
<p>Click the following link for more information on your rights as an Applicant in the United States. http://www.capgemini.com/resources/equal-employment-opportunity-is-the-law</p><br>
<p></p><p>Capgemini is a global business and technology transformation partner, helping organizations to accelerate their dual transition to a digital and sustainable world, while creating tangible impact for enterprises and society. It is a responsible and diverse group of 340,000 team members in more than 50 countries. With its strong over 55-year heritage, Capgemini is trusted by its clients to unlock the value of technology to address the entire breadth of their business needs. It delivers end-to-end services and solutions leveraging strengths from strategy and design to engineering, all fueled by its market leading capabilities in AI, generative AI, cloud and data, combined with its deep industry expertise and partner ecosystem.</p></div></div></div></div><p></p>

AWS Data Scientist

IHG Hotels & Resorts

<div><p>The <b>AI Engineer</b> will build, test, and maintain the models, agentic solutions and infrastructure that power our AI solutions.
</p><p>The ideal candidate has a solid foundation in software development, a passionate interest in AI, and a relentless curiosity to learn. The <b>AI Enginee</b>r is an experienced individual contributor within a project team.
</p><p><b>Your Day to Day</b></p><ul><li>
Contribute to the development of AI/ML models and agentic applications by writing, testing, and documenting code under the guidance of senior team members.
</li><li>Assist in preparing and processing data for model training and evaluation. Help build and maintain data pipelines to support our AI services.
</li><li>Participate in the testing and validation of AI models to ensure they are accurate and performant. Assist in monitoring and maintaining deployed applications.
</li><li>Work closely with other engineers, data scientists, and product managers in an agile environment to deliver on team goals.
</li><li>Actively learn from senior members of the team, participate in code reviews, and continuously develop your skills in AI, machine learning, and software engineering.
</li><li>Uphold high standards for code quality, testing, and documentation. Champion software engineering best practices within the team. Deliver code that is secure, reliable and supportable.
</li><li>Demonstrate a strong curiosity for leveraging AI to improve personal and team productivity. Actively find and implement AI-powered tools and workflows to make your own role and development processes more efficient. Effectively use AI code assistants to deliver code.
</li><li>Ensure application diagrams and documentation stay current and relevant.
</li><li>Adherence to agile development methodologies.</li></ul><p>
</p><p><b>What You Will Bring</b></p><ul><li><p>
Education
</p><ul><li><div>Bachelors in a relevant field of work or an equivalent combination of education and work-related experience.
</div></li></ul></li><li><p>Experience
</p><ul><li><div>Typically, a minimum of 5+ years of software engineering experience, progressive work-related experience with demonstrated proficiency in multiple disciplines, technologies, or processes related to the position.
</div></li><li><div>Some professional or academic experience in software development, preferably using Python.
</div></li><li><div>Demonstrated interest in AI and machine learning through coursework, personal projects, or internships.
</div></li><li><div>Solid understanding of core computer science principles and software engineering fundamentals.
</div></li><li><div>A collaborative mindset and strong communication skills.
</div></li><li><div>Experience working with large datasets and complex data pipelines.
</div></li><li><div>Ability to work effectively in a collaborative, agile team environment.
</div></li><li><div>An innate curiosity and a portfolio or history that demonstrates a commitment to continually learning new technologies as they evolve.</div></li></ul></li></ul><p>
</p><ul><li><p>Technical Skill &amp; Knowledge
</p></li></ul><p></p><ul><li><div>Strong programming skills in Python.
</div><ul><li><div>Foundational knowledge of machine learning concepts and algorithms. Familiarity with common libraries like Scikit-learn, Pandas, or NumPy is a plus.
</div></li><li><div>Interest in learning deep learning frameworks such as TensorFlow or PyTorch.
</div></li><li><div>Good analytical and problem-solving skills with keen attention to detail.
</div></li><li><div>Familiarity with Git and version control workflows.
</div></li><li><div>Theoretical understanding of machine learning, deep learning, and natural language processing (NLP).
</div></li><li><div>Hands-on experience with at least one major cloud provider (GCP, AWS, Azure) and their associated AI/ML services.
</div></li><li><div>Experience with both SQL and NoSQL databases, and proficiency with data processing technologies like Spark is a plus.
</div></li><li><div>Understanding of microservices architecture, API design (e.g., REST, gRPC), and containerization technologies (e.g., Docker, Kubernetes).</div><div>
</div></li></ul></li></ul><div></div><p><b>Travel - 10%</b></p><p><b>
Location - Our hybrid work structure is an expectation of three (3) days a week in office. This expectation may be adjusted to evolve with the changing needs of the business.
</b></p><p><b>The salary range for this role is $119,000 to $145,000. This role is also eligible for bonus pay. We offer a comprehensive package of benefits including paid time off, medical/dental/vision insurance, 401K, and other benefits to employees.</b><br>
<br>
#LI-ZY1
</p><p></p><div><div><div>At IHG Hotels &amp; Resorts, we work together to deliver True Hospitality for Good on a global scale. With corporate offices and over 6,000 hotel destinations worldwide, a career at IHG is the perfect way to broaden your horizons. You&rsquo;ll experience our unique culture and brilliant colleagues who will support and inspire you. With a host of corporate opportunities to choose from, wherever you are on your career journey, and whatever you want to achieve there&rsquo;s Room for You at IHG.<br>
</div><div></div><br>
<div>Over recent years, we&rsquo;ve transformed our company. We have bold ambitions to drive performance and maintain our relentless focus on growth in order to be the hotel company of choice that guests &amp; owners love.<br>
</div><div></div><br>
<div>We are a hospitality business at our core and value connections and being together helps us foster a unique sense of belonging that also supports productivity. That&rsquo;s why here at IHG, we give our colleagues flexibility and balance &ndash; working in a hybrid way, blending office and remote working collectively. We recognise that every role is different, that&rsquo;s why leaders work with teams to determine how and when they collaborate.<br>
</div><div></div><br>
<div>We provide a wide range of benefits designed to help you live your best work life. These include impressive room discounts across our many properties, recharge days and volunteering days throughout the year. Through our myWellbeing framework, we are committed to supporting wellbeing in your health, lifestyle, and workplace. We offer a unique and inclusive culture, where there is always Room for You to belong, grow and make a difference.<br>
</div><div></div><br>
<div>Our mission is to welcome everyone and create inclusive teams where we celebrate difference and encourage colleagues to bring their whole selves to work. IHG Hotels &amp; Resorts provides equal employment opportunities to applicants and employees without regards to race, color, religion, sex, sexual orientation, gender identity, national origin, protected veteran status, disability, or any other category protected by applicable laws. We promote a culture of trust, support, and acceptance. Always welcoming different backgrounds, experiences, and perspectives.
</div>
</div></div><div></div><p>Don't quite meet every single requirement, but still believe you'd be a great fit for the job? We'll never know unless you hit the 'Apply' button. Start your journey with us today.</p><p></p><p><b>
Important information</b>:</p>
<ul>
<li>The salary range listed is the lowest to highest pay scale we, in good faith, believe we would pay for this role at the time of this posting. We may ultimately pay more or less than the posted range, and the range may be modified in the future. An employee&rsquo;s pay position within the pay range will be based on several factors, including relevant education, qualifications, certifications, experience, skills, seniority, geographic location, performance, shift, travel requirements, sales or revenue-based metrics, and business or organizational needs.</li>
<li>No amount of pay is considered to be wages or compensation until it is earned, vested, and determinable. The amount and availability of any bonus, commission, or other form of compensation allocable to a particular employee remain in the Company's sole discretion unless and until paid and may be modified at the Company&rsquo;s sole discretion, consistent with the law.</li>
<li>If you require reasonable accommodation during the application process, please click here.</li>
<li>IHG does not accept applications, inquiries, or unsolicited CVs/resumes from staffing or recruiting agencies. Please click here for our agency policy.</li>
<li>If you are a resident of or applying to a job opening in the State of Washington, please click here to read about applicable benefits.</li></ul></div>

AI Engineer

Newell Brands

<p></p><div><p><b>Job ID: </b>14555</p><p><b>
Alternate Locations:</b></p><p></p><p><b><br>
Newell Brands</b> is a leading consumer products company with a portfolio of iconic brands like Graco&reg;, Coleman&reg;, Oster&reg;, Rubbermaid&reg;, Sharpie&reg; and Yankee Candle&reg; - and 24,000 talented teammates around the world. Our culture is built on values in action: Integrity, Teamwork, Passion for Winning, Ownership, and Leadership. We work together to win, grow, and make a real impact&mdash;supported by a high-performing, inclusive, and collaborative environment where you can be your best, every day.</p><p></p><p><br>
Job location: Atlanta, GA preferred but will consider remote</p><p></p><p><b><br>
POSITION OVERVIEW:</b></p><p></p><p><br>
The Sr. IAM AI Solutions Achitect is responsible for two things. First, making sure that as Newell builds and adopts agentic and generative AI solutions, those solutions are identity-safe. Users and AI agents should only access data and transactions they are authorized for, non-human identities need proper governance, and the configuration layers behind agentic AI (especially MCP and A2A) must be protected and well-managed. Second, finding practical ways to apply AI within the IAM program itself to build better integrations, increase delivery speed, and improve the experience for both our team and our end users.</p><p></p><p><br>
This is not a tower ownership role. The IAM organization operates through established capability towers: IGA, PAM, AM, ILM, and others. This engineer works across all of them, bringing AI expertise and a cross-tower perspective. The day-to-day work happens in close partnership with tower leads and their engineers to define and build AI-related architecture and controls that fit each domain.</p><p><br>
We view IAM as a business accelerator, not just a security function. When identity is well-architected for AI, the company can move faster with greater confidence. This person is responsible for keeping our IAM capabilities aligned with and actively supporting Newell's AI ambitions.</p><p></p><p><b><br>
KEY RESPONSIBILITIES:</b></p><p><b><i>
Pillar 1: Enabling Safe AI Development and Consumption</i></b></p><p></p><div><br>
1. Access Governance for AI Solutions<br>
<ul><li>Work with AM and IGA tower leads to define and enforce access control policies for agentic and generative AI solutions, keeping users and agents within their authorized scope.</li></ul></div><ul><li>Partner with tower engineers to design authorization models for AI-enabled applications. Entitlements should be scoped correctly and reviewed through each tower's existing governance processes.</li><li>Serve as a resource on AI identity architecture for business and IT teams building AI solutions. Engage the appropriate IAM towers early so controls are part of the design, not added after the fact.</li></ul><div>
2. Non-Human Identity Governance<br>
<ul><li>Partner with IGA, ILM, and PAM towers to build governance around non-human identities (NHIs) used in AI solutions: agents, service accounts, machine identities, and automated workflows.</li><li>Work with ILM to define how NHIs are provisioned, attested, certified, rotated, and decommissioned. These should get the same lifecycle rigor as human identities.</li><li>Identify and remediate NHI sprawl, orphaned accounts, and over-privileged automated identities. Coordinate with PAM to confirm that secrets, tokens, and credentials are managed and rotated properly.</li></ul></div><div>
3. Agentic AI Configuration Governance (MCP &amp; A2A)<br>
<ul><li>Own the security and governance standards for MCP and A2A configuration layers, working with the AM and PAM towers on authentication, authorization boundaries, tool-use permissions, and logging.</li><li>Partner with IGA to govern agent-to-agent trust relationships, delegation scopes, and orchestration flows so they are authorized and auditable.</li><li>Work with IAM operations to monitor for configuration drift, unauthorized changes, and misconfigurations that could introduce identity or access risks.</li><li>Maintain documentation and operating procedures for agentic AI configuration controls in coordination with InfoSec and AI platform teams.</li></ul></div><div>
4. AI Identity Risk &amp; Compliance<br>
<ul><li>Work with tower leads and InfoSec to identify, assess, and address identity-related risks in AI architectures, covering authentication boundaries, authorization logic, and data access patterns.</li><li>Track the AI threat landscape, particularly around agent behavior anomalies, prompt injection attacks on identity controls, and unauthorized privilege escalation. Share findings with tower leads to inform their security posture.</li><li>Support audits and compliance activities related to AI identity governance, including access reviews, NHI inventories, and configuration attestations. Coordinate with Legal and Privacy as needed.</li></ul></div><p></p><p><b><i><br>
Pillar 2: Applying AI to Strengthen and Accelerate IAM</i></b></p><p></p><div><br>
5. AI-Assisted Integration &amp; Automation<br>
<ul><li>Work with tower leads and engineers to identify where AI (agentic, generative, vibe coding, rapid prototyping) can improve integrations between IAM platforms and IT solutions.</li><li>Support tower teams in using AI-assisted development to accelerate the build-out of onboarding connectors, access request workflows, provisioning logic, and monitoring and alerting.</li></ul></div><ul><li>Prototype AI-driven automation that reduces manual effort in lifecycle processes, certifications, privileged access operations, and incident triage.</li><li>Evaluate AI-powered tools that could improve IAM operations, shorten integration timelines, or improve data quality, and bring recommendations to leadership.</li></ul><div>
6. IAM Program AI Guidance<br>
<ul><li>Serve as the IAM program's primary resource on applying AI to improve security, delivery speed, and user experience. Work with each tower to apply AI in ways relevant to their domain.</li><li>Research and present emerging AI capabilities relevant to IAM: analytics, anomaly detection, intelligent access recommendations, natural language interfaces.</li><li>Develop playbooks and training so IAM staff across all towers can use AI tools effectively in their daily work, from prompt techniques to AI-assisted coding.</li><li>Establish development standards for AI-assisted IAM engineering so that quality, security, and consistency hold regardless of which tower does the work.</li></ul></div><p></p><p><b><br>
REQUIRED QUALIFICATIONS:</b></p><ul><li>Experience in IAM, identity governance and related information security domains.</li><li>Strong understanding of authentication, authorization, access lifecycle management, and privileged access.</li><li>Broad knowledge of the IAM stack and how its components connect: client-server models, PAM, ILM, IGA, AM, and the dependencies between them.</li><li>Hands-on experience with AI/ML engineering, agentic frameworks, or rapid prototyping approaches like vibe coding.</li><li>Scripting or development skills (Python, JavaScript/TypeScript, or similar) for building IAM tooling and automation.</li><li>Working knowledge of agentic AI architecture, including MCP, A2A communication, orchestration patterns, and where identity controls fit in those layers.</li><li>Understanding of non-human identity types (AI agents, service accounts, machine identities) and the governance challenges they create.</li><li>Experience with or strong aptitude for AI-assisted development, including the use of generative AI tools for prototyping, building integrations, and solving technical problems.</li><li>Awareness of AI-specific security risks: how agentic and generative AI architectures introduce new attack surfaces for authentication, authorization, and access governance.</li><li>Hands-on experience with IAM platforms in hybrid or cloud environments.</li><li>Experience working in a matrixed or tower-based model where you drove outcomes through influence and partnership, not direct ownership.</li><li>Able to translate complex identity concepts into plain language for developers, business teams, and leadership.</li><li>Comfortable balancing innovation with risk, with an orientation toward finding a safe path to yes rather than defaulting to no.</li><li>Self-directed and able to manage multiple priorities without close supervision.</li></ul><p></p><p><b><br>
PREFERRED QUALIFICATIONS:</b></p><ul><li>Experience securing AI-enabled platforms or workflows in an enterprise setting.</li><li>Familiarity with AI-driven analytics, anomaly detection, or intelligent recommendations in an IAM context.</li><li>Knowledge of machine identity frameworks (SPIFFE/SPIRE) and modern auth standards (OIDC, OAuth 2.0, SAML, SCIM).</li><li>Experience with audit, compliance, or regulatory stakeholders.</li><li>Relevant certifications: CISSP, CISM, or vendor-specific IAM certs.</li></ul><p></p><p><b><br>
EDUCATION:</b></p><p>
Bachelor's degree in Information Security, Computer Science, Information Systems, or a related field, or equivalent professional experience. Demonstrated expertise and a strong delivery track record are valued equally.</p><p></p><p><b><br>
WHO YOU ARE:</b></p><p>
You're naturally curious about AI and identity security, and you stay current because the space interests you, not because it's a requirement. You enjoy learning new things and you're just as motivated to teach what you've learned to others. Change and ambiguity don't slow you down; they're part of what drew you to this kind of work.</p><p></p><p><br>
You see IAM as something that enables the business to move, not something that holds it back. When someone brings you an AI use case, your first instinct is to figure out how to make it work safely. You're a builder. You'd rather prototype three approaches than spend the same time explaining why something is difficult.</p><p></p><p><br>
You recognize that the work done in this role directly affects how quickly Newell can adopt AI across the enterprise, and that responsibility is something you take seriously.</p><p></p><p><br>
Newell Brands (NASDAQ: NWL) is a leading global consumer goods company with a strong portfolio of well-known brands, including Rubbermaid, Sharpie, Graco, Coleman, Rubbermaid Commercial Products, Yankee Candle, Paper Mate, FoodSaver, Dymo, EXPO, Elmer&rsquo;s, Oster, NUK, Spontex and Campingaz. We are focused on delighting consumers by lighting up everyday moments. Newell Brands and its subsidiaries are Equal Opportunity Employers and comply with applicable employment laws. EOE/M/F/Vet/Disabled are encouraged to apply.</p></div>

Sr. IAM AI Solutions Architect

Deloitte

<div>Our Deloitte AI &amp; Engineering team works to transform technology platforms, drive innovation, and help make a significant impact on our clients' success. You'll work alongside talented professionals reimagining and reengineering operations and processes that are critical to businesses. Your contributions can help clients improve financial performance, accelerate new digital ventures, and fuel growth through innovation.<br>
<br>
<b>Work you'll do
</b><br>
<br>
As a Senior OpenAI FDE, you will work side by side with senior functional and technical client team members to rapidly prototype and deliver high-impact GenAI-enabled solutions. This requires a highly motivated practitioner who moves with speed and precision, building working software, engaging confidently with senior stakeholders and engineers to bring measurable business impact from day one. Additional responsibilities include:<br>
<br>
Client Engagement
<br>
<ul><li>Embed with clients to identify business needs and translate high-value GenAI use cases into solutions.
</li><li>Partner with leaders, product owners, architects, and engineers to align priorities and delivery.
</li><li>Lead working sessions to shape solutions and drive client outcomes.
</li><li>Prototype and deliver working AI solutions using industry expertise and emerging capabilities.
</li><li>Contribute independently within an FDE pod while mentoring newer team members.
</li><li>Coach client teams and end users on platform capabilities and AI enablement, while building trusted relationships, managing expectations, and supporting long-term engagement success.
</li><li>Drive end-to-end sales and delivery support by developing demos/POCs, contributing to proposals and orals, articulating business value, and documenting solutions for smooth client handoff and knowledge transfer.
</li>Strengthen team and organizational impact by mentoring other FDEs through design/code reviews and feedback, while contributing reusable components to intellectual capital.<br>
<li>
</li></ul><br>
<br>
Solution Engineering
<br>
<ul><li>Build AI-enabled solutions, agentic platforms, and workflows across enterprise AI platforms.
</li><li>Develop scalable AI engineering patterns, tool-use approaches, and human-in-the-loop controls.
</li><li>Apply architecture decisions that balance quality, safety, latency, cost, and model risk.
</li><li>Deliver production-quality code using strong practices in testing, CI/CD, logging, versioning, and documentation.
</li><li>Design extensible functionality, support sprint sizing, and align solutions with senior team members.
</li>Contribute reusable assets including code, prompt libraries, runbooks, and reference implementations.<br>
<li>
</li></ul><br>
<br>
<b>The Team
</b><br>
<br>
Deloitte's Government &amp; Public Services (GPS) practice - our people, ideas, technology and outcomes - is designed for impact. Serving federal, state, &amp; local government clients as well as public higher education institutions, our team of professionals brings fresh perspective to help clients anticipate disruption, reimagine the possible, and fulfill their mission promise.<br>
<br>
Our AI &amp; Data offering provides a full spectrum of solutions for designing, developing, and operating cutting-edge Data and AI platforms, products, insights, and services. Our offerings help clients innovate, enhance and operate their data, AI, and analytics capabilities, ensuring they can mature and scale effectively with organizational intelligence programs and differentiated strategies to win in their chosen markets.<br>
<br>
<b>Qualifications
</b><br>
<br>
Required:
<br>
<ul><li>Bachelor's degree (or equivalent) in Computer Science, Data Science or Engineering.
</li><li>7+ years of experience in software engineering, data engineering, data science, or analytics engineering.
</li><li>1+ years of hands-on experience building and deploying GenAI/LLM-powered solutions in client or production environments
</li><li>1+ years of experience with OpenAI including hands on experience with one of the following key platform technologies; GPT-4o, Assistants API, Responses API, OpenAI Agents SDK
</li><li>1+ years of experience leading project workstreams/engagements and translating business problems into AI solutions
</li><li>1+ years of experience building reliable, maintainable, and well-documented code
</li><li>Ability to travel 50%, on average, based on the work you do and the clients and industries/sectors you serve
</li><li>Must be legally authorized to work in the United States without the need for employer sponsorship, now or at any time in the future
</li>Ability to obtain and maintain a US government security clearance<br>
<li>
</li></ul><br>
<br>
Preferred:
<br>
<ul><li>Experience with cloud environments (AWS, Azure, and/or Google Cloud) and common platform services (storage, compute, IAM, networking)
</li><li>Demonstrated ability to work directly alongside client technical teams and program stakeholders in fast-paced, ambiguous delivery environments
</li><li>Data engineering experience with Spark, Airflow/dbt, streaming, data modeling or ML/data science background feature engineering, experimentation or model evaluation
</li><li>Experience with MLOps/LLMOps practices: evaluation frameworks, model monitoring, and prompt management
</li><li>Experience integrating LLM solutions with enterprise systems via APIs, microservices, or event-driven architectures
</li><li>Experience operating within hybrid onshore/offshore teams
</li><li>Familiarity with security, privacy, and compliance considerations</li></ul></div>

Senior OpenAI Forward Deployed Engineer - GPS

Alignerr

<div>
 <strong>
  About The Role
  <br/>
  <br/>
 </strong>
 We're building next-generation AI systems for aviation and autonomous flight &mdash; and we need people who actually understand what's being said on the radio.
 <br/>
 <br/>
 This is a specialized transcription role for pilots, air traffic controllers, and aviation enthusiasts. You'll work with real-world ATC and pilot audio recordings, turning complex, fast-paced radio communications into high-quality transcriptions that directly train aviation AI.
 <br/>
 <br/>
 <ul>
  <li>
   Organization: Alignerr (Powered by Labelbox)
  </li>
  <li>
   Type: Hourly / Task-Based Contract
  </li>
  <li>
   Location: Remote
  </li>
  <li>
   Commitment: 10&ndash;40 hours/week
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  What You'll Do
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Transcribe real-world Air Traffic Control (ATC) &harr; pilot audio recordings with precision
  </li>
  <li>
   Label speakers, callsigns, instructions, and pilot responses accurately
  </li>
  <li>
   Capture aviation terminology, abbreviations, and standard phraseology correctly
  </li>
  <li>
   Complete task-based assignments on your own schedule
  </li>
  <li>
   Meet quality and accuracy benchmarks &mdash; this work directly impacts aviation safety AI
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Who You Are
  <br/>
  <br/>
 </strong>
 You don't need to be a professional transcriptionist &mdash; but you do need to genuinely understand aviation radio communications.
 <br/>
 <br/>
 <strong>
  You're a Great Fit If You Are
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   A licensed pilot, student pilot, or certified Air Traffic Controller
  </li>
  <li>
   An aviation professional with radio communications experience
  </li>
  <li>
   An aviation enthusiast who regularly listens to live or recorded ATC
  </li>
  <li>
   Someone who can distinguish callsigns, clearances, and read-backs without hesitation
  </li>
  <li>
   Extremely detail-oriented and patient with audio work
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Key Qualities
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Deep familiarity with ICAO/FAA aviation phraseology
  </li>
  <li>
   Ability to parse fast, noisy, real-world radio transmissions
  </li>
  <li>
   High accuracy standards and strong self-editing habits
  </li>
  <li>
   Reliable and self-motivated in an async work environment
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Nice to Have
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Experience with transcription tools or annotation platforms
  </li>
  <li>
   Familiarity with AI data labeling workflows
  </li>
  <li>
   Exposure to instrument procedures, ATC facility operations, or dispatch environments
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Why Join Us
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Meaningful work: Your transcriptions directly improve AI systems used in aviation safety and autonomous flight
  </li>
  <li>
   Fully remote: Work from anywhere, on your own schedule
  </li>
  <li>
   Flexible commitment: Scale hours up or down based on your availability
  </li>
  <li>
   Specialty niche: This role is built for aviation people &mdash; your expertise is genuinely valued here
  </li>
  <li>
   Top performers rewarded: High-quality contributors get priority access to more tasks and stronger effective hourly rates
  </li>
  <li>
   Cutting-edge projects: Contribute to AI development at the frontier of aerospace and autonomy
  </li>
  <li>
   Potential for ongoing work: Strong contributors may receive extended contracts
  </li>
 </ul>
</div>


Aviation Communications Transcriber (ATC)

Explore 165+ Ai ml developer ii remote in Atlanta this May. Find roles across top companies and apply now to boost your career.