artificial intelligence engineer – remote

data engineer

ai engineer

al/ml engineer, lead

al/ml evaluation engineer Jobs in Atlanta

al/ml evaluation engineer

artificial intelligence engineer – remote Jobs in Atlanta

machine learning engineer

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 : Cary, NC (Onsite/Hybrid from Day 1)</b></h2>
</div></div><div></div><div><div><h2 class="jobSectionHeader"><b>Job Description</b></h2>
</div><div><p>We are seeking an experienced <b>Data Scientist</b> to join our growing Analytics and AI team. This role is responsible for developing and deploying advanced Machine Learning, Artificial Intelligence, and Generative AI solutions that drive customer engagement, marketing effectiveness, revenue growth, and business outcomes. The ideal candidate will have a strong blend of technical expertise, business acumen, and stakeholder management experience, particularly within the insurance and/or financial services industry.</p>
</div></div><div><div><h2 class="jobSectionHeader"><b>Key Responsibilities</b></h2>
</div><div><ul><li>Own technical decisions, project outcomes, timelines, and production stability within assigned business domains.</li>
<li>Design, develop, train, and optimize machine learning and deep learning models for marketing, customer engagement, sales, and business analytics use cases.</li>
<li>Analyze complex datasets to identify trends, patterns, anomalies, and actionable insights that support business strategy and decision-making.</li>
<li>Develop statistical models, predictive analytics, and machine learning algorithms using Python and Azure cloud technologies.</li>
<li>Build, deploy, and support production-ready ML and GenAI solutions, including API-based, batch, and real-time inference applications.</li>
<li>Collaborate with business stakeholders, product teams, and cross-functional partners to identify opportunities and implement data-driven solutions.</li>
<li>Integrate AI and ML capabilities into business applications and workflows through APIs, SDKs, and microservices.</li>
<li>Create compelling visualizations, dashboards, reports, and presentations to communicate analytical findings and recommendations to senior leadership and business partners.</li>
<li>Apply MLOps best practices to ensure scalability, reliability, performance monitoring, and operational excellence of AI/ML solutions.</li>
<li>Optimize platform components leveraging cloud-native architectures, distributed computing, and efficient resource management practices.</li>
<li>Stay current with emerging trends, technologies, and best practices in Artificial Intelligence, Data Science, Machine Learning, and Generative AI.</li>
<li>Promote responsible AI practices, including data privacy, model governance, bias mitigation, and model monitoring.</li>
</ul></div></div><div><div><h2 class="jobSectionHeader"><b>Required Qualifications</b></h2>
</div><div><ul><li>Bachelor's or Master's degree in Computer Science, Data Science, Engineering, Mathematics, Statistics, or a related quantitative field.</li>
<li>8+ years of experience in Data Science, Machine Learning, Artificial Intelligence, and/or AI/ML Engineering.</li>
<li>5+ years of experience in the Insurance and/or Financial Services industry with exposure to sales, marketing, customer engagement, or customer analytics.</li>
<li>Proven experience designing, deploying, and operating production Machine Learning and/or Generative AI solutions, including APIs, batch processing, and real-time inference.</li>
<li>Strong experience developing Machine Learning models using Python, preferably in cloud environments.</li>
<li>Experience with Azure Machine Learning, Domino Data Lab, Power BI, or similar analytics and ML platforms.</li>
<li>Strong SQL skills and hands-on experience with data analysis, anomaly detection, data validation, and Exploratory Data Analysis (EDA).</li>
<li>Solid understanding of statistics, mathematics, predictive modeling, machine learning algorithms, and data science methodologies.</li>
<li>Experience leveraging AI and predictive analytics to improve customer experience, communication strategies, revenue generation, marketing effectiveness, and other business outcomes.</li>
<li>Familiarity with responsible AI principles, including data privacy, bias mitigation, model explainability, governance, and monitoring.</li>
<li>Excellent written and verbal communication skills, including the ability to present insights effectively through storytelling, visualizations, and executive-level presentations.</li>
</ul></div></div><div><div><h2 class="jobSectionHeader"><b>Preferred Qualifications</b></h2>
</div><div><ul><li>Experience with Generative AI, Large Language Models (LLMs), and modern AI frameworks.</li>
<li>Experience implementing MLOps and model lifecycle management practices in cloud environments.</li>
<li>Knowledge of cloud-native architectures and scalable AI/ML deployment patterns.</li>
<li>Experience working within highly regulated environments such as Insurance or Financial Services.</li>
</ul></div></div></div><p>The base compensation range for this role in the posted location is: 85786- 97273</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>
<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>
<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></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>

Data Scientist

autostore

<div><div><div>Job Description</div></div><div><div><div><div><div><div><div><div><div><p>
AutoStore&trade; holds a simple yet powerful vision: to store and move things for everyone, everywhere. Founded in Norway, we've grown into a global technology company. AutoStore uses advanced software to automate and orchestrate order fulfillment. Our goal is to ensure orders arrive faster than ever, with minimal environmental impact. That&rsquo;s how we help brands exceed customer expectations.</p><p></p><p>
We have more than 1600 systems in nearly 60 countries, and we grow continuously as a community of employees, partners, customers, suppliers, and connected technologies. Automation should make life easier, and by listening carefully to our community, we innovate to meet the industry&rsquo;s most complex needs. With AutoStore&trade;, brands gain speed, efficiency, and improved workplaces. And much more floor space.</p><p></p><p>
AutoStore &ndash; moving things forward.</p></div></div></div></div></div></div></div></div></div><p></p><p><b>
The Role:</b></p><p></p><p>
The AI Engineer develops AI based solutions that increase the overall productivity of the HW engineering team. This includes, creating data models to facilitate the use of AI tools, creating AI agents and models that reduce the time to do HW designs, reviews, and testing. The HW focused AI Engineer reports to the VP of HW NPD and Innovation Engineering located in Atlanta, GA.</p><p></p><p><b>
Key Responsibilities:</b></p><ul><li><p>
Connect and structure hardware data sources (Jira, Excel, ERP, and design/test systems) so AI tools have clean, usable data to work from</p></li><li><p>
Across the Hardware organization, reduce design review preparation and execution from weeks to hours by automating material generation and consolidation</p></li><li><p>
Generate documentation, design review materials, and structured outputs (checklists, comparison tables, risk assessments) in consistent formats</p></li><li><p>
Produce summaries, forecasts, and burndown charts from historical project data</p></li><li><p>
Build agentic workflows that track hardware module status and automatically remind, summarize, and escalate across the development process</p></li><li><p>
Support engineers developing physical AI (embedding intelligence into distributed systems such as robots, cameras, grids, and ports)</p></li></ul><p></p><p><b>
Key Qualifications:</b></p><ul><li><p>
0&ndash;5 years of experience delivering data and AI solutions, or equivalent</p></li><li><p>
Ability to create data structures that facilitate the optimal use of AI tools</p></li><li><p>
Ability to connect existing tools (Jira, Excel, ERP systems, etc.) via APIs to push and pull data</p></li><li><p>
Ability to produce structured output generation - design review materials in consistent formats (Word, PowerPoint, PDF)</p></li><li><p>
Familiar with design tools, processes, and techniques required to deliver hardware solutions on schedule</p></li><li><p>
Strong problem-solving skills and the ability to work both independently and as part of a team</p></li><li><p>
Excellent communication skills across organizational levels</p></li><li><p>
Bachelor's or Master's degree in electrical engineering, computer engineering, computer science, systems engineering, or a related field</p></li></ul><p></p><p><b>
Preferred Skills</b></p><ul><li><p>
Familiarity with RAG (Retrieval-Augmented Generation) to pull from libraries of historical designs, specs, and schematics for grounded suggestions</p></li><li><p>
Familiarity evaluating and integrating commercial EDA platforms with embedded AI/multimodal capabilities (e.g., Siemens Fuse, Cadence Allegro X AI, Quilter) &mdash; tool selection and integration, not model building</p></li><li><p>
Exposure to generative/autonomous design tools and an understanding of where they assist and augment engineering throughput</p></li><li><p>
Familiarity with developing physical AI solutions - embedding intelligence into distributed systems (robots, cameras, grids, ports)</p></li><li><p>
Familiar with project management concepts</p></li></ul><p></p><p><b>
We Offer:</b><br>
AutoStore believes in taking care of employees and is dedicated to providing a supportive and rewarding work environment. Join us in our mission to store and move things for everyone, everywhere.</p><ul><li><p>
Comprehensive Medical, Dental, and Vision plans</p></li><li><p>
Health Savings Account (HSA) with a company contribution</p></li><li><p>
Generous Paid Time Off including 12 holidays, paid exercise time, paid volunteer time, and paid parental leave plans for all new parents</p></li><li><p>
Retirement 401(k) plan with employer match and discretionary profit sharing contribution</p></li><li><p>
Educational assistance and professional development programs, including mentorship/coaching programs with external industry leaders</p></li><li><p>
Additional benefits include Group Life Insurance, Voluntary Additional Life Insurance, Disability Insurance, Employee Assistance programs, and more!</p></li></ul><p></p><p>
AutoStore is an Equal Opportunity Employer that does not discriminate on the basis of actual or perceived race, color, creed, religion, national origin, ancestry, citizenship status, age, sex or gender (including pregnancy, childbirth, pregnancy-related conditions, and lactation), gender identity or expression (including transgender status), sexual orientation, marital status, military service and veteran status, physical or mental disability, genetic information, or any other characteristic protected by applicable federal, state, or local laws and ordinances.</p><p></p><h2 class="jobSectionHeader"><b>
Recruitment Agencies</b></h2><p><i>
AutoStore does not accept agency resumes or assistance. Please do not forward resumes to our jobs alias or AutoStore employees. AutoStore is not responsible for any fees related to unsolicited resumes.</i></p></div>
<br><div><div><h3 class="jobSectionHeader"><b>Struggling to find your next dream job?</b></h3><div><div><div><div><p>
We believe that following a defined and structured recruitment process will ensure that we have a fair and equal process for all candidates. We focus on finding the right talent and have designed our process to reduce biases and have a good candidate experience. For that reason, we are not accepting open applications, but encourage you to set up a job alert on our recruitment page to be notified when the next opportunity arises within your field of interest.</p></div></div></div></div></div><div><div><h3 class="jobSectionHeader"><b>
Unsure about which path is the right one for you?</b></h3><div><div><div><div><p>
Try our brand new AutoStore Pathfinder! Here you will be able to take a short questionnaire and read about where in our organization your skillset and personality can be a fit
</p></div></div></div></div></div></div><div><div><h3 class="jobSectionHeader"><b>About Us</b></h3><div></div><div><div><div><div><p>
AutoStore, founded 1996, is a warehouse robot technology company that invented and continues to pioneer cube storage automation, the densest order-fulfillment solution in existence. Our focus is to marry software and hardware with human abilities to create the future of warehousing. We are a value driven organization, with our people being our most important asset. Lean, Bold, and Transparent manifest itself in everything we do, and are pushing borders to increase efficiency, safety and develop new products for our customers. AutoStore was born out of the great idea for storing goods like Rubik's Cube, instead of Dominos. We are now looking for talent that share our values and curiousity for new technology and development</p></div></div></div></div></div></div></div><p></p>

AI Engineer – HW Development

The Home Depot

<p>Position Purpose:<br/></p><p>The Data Scientist will be a key architect in building next-generation agentic systems designed to revolutionize how professional customers manage complex projects. This role is responsible for developing autonomous AI capabilities that bridge the gap between simple search and sophisticated project quoting and fulfillment. You will leverage advanced techniques in Conversational AI, Retrieval-Augmented Generation (RAG), and Multimodal AI to unlock vast enterprise catalogs, automate project and product configuration, and provide real-time sourcing across a massive enterprise assortment.<br/></p><p>As a member of the team, you will design the reasoning paths that allow AI agents to navigate &quot;Pro-speak&quot; queries, extract intent from multimodal project inputs, and manage complex state across omnichannel sessions. Your work will directly empower Pro customers to move from discovery to optimized quoting to transaction in minutes, providing a seamless, self-serve experience at scale.<br/></p><p>Key Responsibilities:<br/></p><p>55% Solution Development - Design and develop algorithms and models to use against large datasets to create business insights; Participates in large data analytics project teams by serving as a technical lead for analytics projects; May lead small projects and work independently on solution development; Execute tasks with high levels of efficiency and quality; Make appropriate selection, utilization and interpretation of advanced analytical methodologies<br/>20% Communicating Results - Effectively communicate insights and recommendations to both technical and non-technical leaders and business customers/partners; Present recommendations in a confident manner in order to influence execution of recommendation; Prepare reports, updates and/or presentations related to progress made on a project or solution; Clearly communicate impacts of recommendations to drive alignment and appropriate implementation<br/>10% Business Collaboration - Incorporate business knowledge into solution approach; Effectively develop trust and collaboration with internal customers and cross-functional teams; Work with project teams and business partners to determine project goals<br/>15% Technical Exploration &amp; Development - Seek further knowledge on key developments within data science, technical skill sets, and additional data sources; Participate in the continuous improvement of data science and analytics by developing replicable solutions (for example, codified data products, project documentation, process flowcharts) to ensure solutions are leveraged for future projects; Build and maintain library of reusable algorithms for future use, ensuring developed codes are documented<br/></p><p>Direct Manager/Direct Reports:<br/></p><p>This position typically reports to Manager or above<br/>This position has 0 Direct Reports<br/></p><p>Travel Requirements:<br/></p><p>Typically requires overnight travel less than 10% of the time.<br/></p><p>Physical Requirements:<br/></p><p>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/></p><p>Working Conditions:<br/></p><p>Located in a comfortable indoor area. Any unpleasant conditions would be infrequent and not objectionable.<br/></p><p>Minimum Qualifications:<br/></p><p>Must be eighteen years of age or older.<br/>Must be legally permitted to work in the United States.<br/></p><p>Preferred Qualifications:<br/></p><p>Masters in a quantitative field (Computer Science, Math, Statistics, etc.) or equivalent work experience<br/></p><p>AI Orchestration: 4+ years of experience in Data Science with a focus on Conversational AI, GenAI, agentic workflows, custom tool-calling, and reasoning traces (e.g., LangSmith).<br/></p><p>Advanced Retrieval: Mastery of RAG and vector database architectures, specifically for extracting technical specs from unstructured enterprise data.<br/></p><p>Multimodal AI: Experience building pipelines to extract structured SKU-level intent from unstructured multimodal inputs, such as photos or handwritten lists.<br/></p><p>Algorithmic Logic: Background in similarity scoring and attribute-matching to resolve vague technical queries.<br/></p><p>State &amp; Engineering: Experience building stateful AI applications that maintain context across devices and sessions.<br/></p><p>Domain Expertise: Prior experience in B2B e-commerce, supply chain, or trade-related data is a significant plus.<br/></p><p>Technical Expertise: Experience in a modern scripting language (preferably Python); proficient running queries against data (preferably with Google BigQuery or SQL); proficient utilizing statistical techniques to identify key insights that help solve business problems; knowledgeable in Prescriptive Modeling like optimization, computer vision, recommendation, search or NLP; working knowledge of Microsoft Excel and Power Point<br/></p><p>Minimum Education:<br/></p><p>The knowledge, skills and abilities typically acquired through the completion of a bachelor's degree program or equivalent degree in a field of study related to the job.<br/></p><p>Preferred Education:<br/></p><p>No additional education<br/></p><p>Minimum Years of Work Experience:<br/></p><p>3<br/></p><p>Preferred Years of Work Experience:<br/></p><p>No additional years of experience<br/></p><p>Minimum Leadership Experience:<br/></p><p>None<br/></p><p>Preferred Leadership Experience:<br/></p><p>None<br/></p><p>Certifications:<br/></p><p>None<br/></p><p>Competencies:<br/></p><p>Action Oriented: Taking on new opportunities and tough challenges with a sense of urgency, high energy, and enthusiasm<br/>Business Insight: Applying knowledge of the business and the marketplace to advance the organization's goals<br/>Collaborates: Building partnerships and working collaboratively with others to meet shared objectives<br/>Communicates Effectively: Developing and delivering multi-mode communications that convey a clear understanding of the unique needs of different audiences<br/>Customer Focus: Building strong customer relationships and delivering customer-centric solutions<br/>Drives Results: Consistently achieving results, even under tough circumstances<br/>Nimble Learning: Actively learning through experimentation when tackling new problems, using both successes and failures as learning fodder<br/>Optimizes Work Processes: Knowing the most efficient and effective processes to get things done, with a focus on continuous improvement<br/>Plans and Aligns: Planning and prioritizing work to meet commitments aligned with organizational goals<br/>Self-Development: Actively seeking new ways to grow and be challenged using both formal and informal development channels<br/></p>

AECOM

<div><b>Company Description</b><p><b><br>
Work with Us. Change the World.</b></p><p>
At AECOM, we're delivering a better world. Whether improving your commute, keeping the lights on, providing access to clean water, or transforming skylines, our work helps people and communities thrive. We are the world's trusted infrastructure consulting firm, partnering with clients to solve the world&rsquo;s most complex challenges and build legacies for future generations.</p><p>
There has never been a better time to be at AECOM. With accelerating infrastructure investment worldwide, our services are in great demand. We invite you to bring your bold ideas and big dreams and become part of a global team of over 50,000 planners, designers, engineers, scientists, digital innovators, program and construction managers and other professionals delivering projects that create a positive and tangible impact around the world.</p><p>
We're one global team driven by our common purpose to deliver a better world. Join us.</p><b><br>
Job Description</b><p><br>
AECOM is seeking a <b>Program Manager for Data Center Site Strategy and Portfolio Development</b> with a passion for driving results to join our high-performance data center team. In this role, the program manager will plan, direct, and execute multiple moderate-to-large scale projects and programs to support the utility and land development for next-generation digital infrastructure. This role has a strong focus on site development planning for data centers.</p><p>
This position offers the flexibility of a remote work schedule and can be based from a variety of locations in the US where AECOM has an office.</p><p><b>
While this position is eligible for remote work, office attendance is encouraged if an AECOM office is proximal. Periodic travel may be required for client meetings, key project milestones, onsite collaboration sessions, or other business‑critical activities. Travel is expected to be occasional and scheduled in advance.</b></p><p><b>
AECOM </b>is a leader in the global data center consulting industry with robust teams in the Americas, Europe, Africa, Asia, and Australia. In this role, you will have the opportunity to work with our teams around the world on high-profile, fast-paced data center projects for global clients. This is a hands-on, client-facing role with an opportunity for upward career mobility.</p><p><b>
Key Responsibilities:</b></p><ul><li>
Develop and lead cross-functional teams, including engineers, planners, and consultants; including recruitment and &ldquo;care and feeding&rdquo; of direct reports.</li><li>
Build trust with the client, local communities and regulatory and economic development entities.</li><li>
Support identification and evaluation of land opportunities aligned with long-term data center growth.</li><li>
Accountable for the overall results of a project or groups of projects, including goal setting, team leadership and adherence to internal and external budgets and schedules.</li><li>
Performs various management, leadership and people accountability responsibilities for a specific technical group or department.</li><li>
Drive to completion due diligence, zoning, permitting, entitlement, and offsite infrastructure processes.</li><li>
Proactively identify and deliver risk mitigation strategies and contingency plans.</li><li>
Reinforce a culture of accountability, innovation, and open communication.</li><li>
Train and deploy machine-learning based program and project management and delivery platforms (AECOM&rsquo;s AI4Eng).</li></ul><br>
<b>
Qualifications</b><p><b><br>
Minimum Qualifications</b></p><ul><li>
Bachelor&rsquo;s degree in Engineering, Construction Management, Real Estate, Urban Planning, or related field plus 8 years of experience in land development, infrastructure, or project management or demonstrated equivalency of experience and/or education.</li><li>
Demonstrated experience with colocation and hyperscale data center projects.</li></ul><p><b>
Preferred Qualifications</b></p><ul><li>
Licensed Professional Engineer, Architect, or Land Planner</li><li>
Advanced degree in Engineering, Construction Management, Real Estate, Urban Planning</li><li>
12 or more years of experience in general land development, infrastructure, or project management.</li><li>
Proficient with data center operations and site development and construction processes.</li><li>
Demonstrated ability to support large-scale initiatives and cross-functional teams.</li><li>
Proficiency conducting feasibility studies and evaluating potential sites for development.</li><li>
Knowledge of environmental assessments, zoning regulations, land use planning, and utility infrastructure portfolios.</li><li>
Ability to work independently and manage multiple projects simultaneously</li></ul><p><b>
Desired Attributes:</b></p><ul><li>
Proficiency with digital geospatial, project and program management, and machine learning platforms.</li><li>
Excellent verbal and written communication for stakeholder presentations and reporting.</li><li>
Experience in managing client relationships and understanding their business needs.</li><li>
Skilled communicator with emotional intelligence and adaptability.</li><li>
Growth-oriented mindset</li><li>
Proven ability to work under pressure in fast-paced environments</li><li>
Ability to manage complex logistics and team dynamics.</li><li>
Collaborative mindset with a bias for action and problem-solving</li></ul><br>
<b>
Additional Information</b><br>
<ul><li>
Relocation is not available for this role</li><li>
Sponsorship is not available for this role</li></ul><div></div><p>
At AECOM, we are committed to maintaining a secure and trustworthy recruitment process and take any fraudulent hiring activity seriously. <b><i>To support this commitment, all newly hired employees are required to attend an in-person Day 1 onboarding at an AECOM office location as a condition of employment.</i></b></p><p></p><p><b><br>
About AECOM</b></p><p>
AECOM is proud to offer comprehensive benefits to meet the diverse needs of our employees. Depending on your employment status, AECOM benefits may include medical, dental, vision, life, AD&amp;D, disability benefits, paid time off, leaves of absences, voluntary benefits, perks, flexible work options, well-being resources, employee assistance program, business travel insurance, service recognition awards, retirement savings plan, and employee stock purchase plan.</p><p>
AECOM is the global infrastructure leader, committed to delivering a better world. As a trusted professional services firm powered by deep technical abilities, we solve our clients&rsquo; complex challenges in water, environment, energy, transportation and buildings. Our teams partner with public- and private-sector clients to create innovative, sustainable and resilient solutions throughout the project lifecycle &ndash; from advisory, planning, design and engineering to program and construction management. AECOM is a Fortune 500 firm that had revenue of $16.1 billion in fiscal year 2025. Learn more at aecom.com.</p><p><b>
What makes AECOM a great place to work</b></p><p>
You will be part of a global team that champions your growth and career ambitions. Work on groundbreaking projects - both in your local community and on a global scale - that are transforming our industry and shaping the future. With cutting-edge technology and a network of experts, you&rsquo;ll have the resources to make a real impact. Our award-winning training and development programs are designed to expand your technical expertise and leadership skills, helping you build the career you&rsquo;ve always envisioned. Here, you&rsquo;ll find a welcoming workplace built on respect, collaboration and community&mdash;where you have the freedom to grow in a world of opportunity.</p><p>
As an Equal Opportunity Employer, we believe in your potential and are here to help you achieve it. All your information will be kept confidential according to EEO guidelines.</p></div>

Site Strategy Manager, Data Center Sites - Remote (U.S.)

4P Consulting Inc.

<div><div><p><b>Position: Technical Product Manager III
</b></p><p><b>Location: Atlanta, GA
</b></p><p><b>Duration: 4 Months
</b><br>
<b>Client: Southern Company Services<br>
</b><br>
<br>
</p><p></p><p>Southern Company Services is seeking an experienced Technical Product Manager III to lead cross-functional technology initiatives from concept through deployment. This role requires strong technical acumen, product ownership experience, and the ability to translate business needs into actionable product requirements and technical deliverables.
</p><p></p><p>The ideal candidate will be comfortable working closely with engineering, architecture, and delivery teams while managing product backlogs, priorities, dependencies, and implementation timelines.
</p><p></p><p><b>Key Responsibilities
</b></p><p>&middot; Lead technology products and implementations from discovery through deployment.
</p><p>&middot; Gather business requirements and translate them into product features, user stories, acceptance criteria, and technical deliverables.
</p><p>&middot; Manage product roadmaps, priorities, backlogs, dependencies, and release plans.
</p><p>&middot; Partner with engineering teams, architects, business leaders, and executive stakeholders.
</p><p>&middot; Facilitate process discovery, future-state design, and business transformation workshops.
</p><p>&middot; Support Agile ceremonies, sprint planning, backlog refinement, and delivery tracking.
</p><p>&middot; Manage multiple workstreams and resolve delivery risks, issues, and dependencies.
</p><p>&middot; Use data, user feedback, and experimentation to guide product decisions.
</p><p>&middot; Promote user-centered design, process optimization, and continuous improvement.
</p><p>&middot; Ensure solutions align with enterprise security, governance, compliance, and architecture standards.
</p><p></p><p><b>Required Qualifications
</b></p><p>&middot; 5+ years of experience as a Product Manager, Product Owner, Business Analyst, Scrum Master, Delivery Lead, or similar role.
</p><p>&middot; Experience leading cross-functional technology implementations.
</p><p>&middot; Strong knowledge of Agile, Scrum, product backlog management, and software delivery.
</p><p>&middot; Experience translating business requirements into technical solutions.
</p><p>&middot; Strong organizational, facilitation, communication, and stakeholder-management skills.
</p><p>&middot; Ability to manage multiple priorities, workstreams, and delivery timelines.
</p><p>&middot; Ability to influence teams and drive results without direct authority.
</p><p></p><p><b>Preferred Qualifications
</b></p><p>&middot; Experience delivering AI, Generative AI, machine learning, automation, or data and analytics solutions.
</p><p>&middot; Familiarity with Azure, Google Cloud Platform, or related cloud and AI technology stacks.
</p><p>&middot; Scrum Master or Product Owner certification, such as CSM, PSM, CSPO, or PSPO.
</p><p>&middot; Experience working within enterprise governance, security, and compliance frameworks.
</p><p>&middot; Knowledge of design thinking, process optimization, and business-process reengineering.
</p><p>&middot; Utility, energy, or regulated-industry experience is preferred.</p></div></div><p></p>

Technical Product Manager III 4P/787

Google

<div><h3 class="jobSectionHeader"><b>Minimum qualifications:</b></h3><ul>
<li>Bachelor's degree in a technical field, or equivalent practical experience.
<br>
</li><li>2 years of experience in program management.</li>
<li>Experience with data center infrastructure like power, networking, and cooling.</li>
<li>Experience with AutoCAD or Revit.</li></ul><br>
<h3 class="jobSectionHeader"><b>
Preferred qualifications:</b></h3><ul>
<li>2 years of experience managing cross-functional or cross-team projects.</li>
<li>Experience with colocation capacity planning, including the use and automation of planning and optimization tools.</li>
<li>Experience with new product introduction (NPI) process and product life cycle (PLC) as related to hardware products for machine learning and high-performance computing.</li>
<li>Excellent program management skills, with the ability to coordinate deployments and roadmaps across multiple stakeholders.</li>
</ul><div><h2 class="jobSectionHeader"><b>About the job</b></h2><p>
A problem isn&rsquo;t truly solved until it&rsquo;s solved for all. That&rsquo;s why Googlers build products that help create opportunities for everyone, whether down the street or across the globe. As a Technical Program Manager at Google, you&rsquo;ll use your technical expertise to lead complex, multi-disciplinary projects from start to finish. You&rsquo;ll work with stakeholders to plan requirements, identify risks, manage project schedules, and communicate clearly with cross-functional partners across the company. You're equally comfortable explaining your team's analyses and recommendations to executives as you are discussing the technical tradeoffs in product development with engineers.
</p><p>In this role, you will help the team plan the future of Google&rsquo;s ML and accelerator deployments. As the Technical Program Manager, you will help with new product enablement focused on the deployability of new products and the server floor designs required to facilitate them.</p><p>
Behind everything our users see online is the architecture built by the Technical Infrastructure team to keep it running. From developing and maintaining our data centers to building the next generation of Google platforms, we make Google's product portfolio possible. We're proud to be our engineers' engineers and love voiding warranties by taking things apart so we can rebuild them. We keep our networks up and running, ensuring our users have the best and fastest experience possible.</p>
Individual pay is determined by factors including job-related skills, experience, and relevant education or training.
<br>
<br>
US: $138000 - $197000 (USD) + 15% bonus target + equity + benefits<br>
<br>
Learn more about benefits at Google.</div><div><h2 class="jobSectionHeader"><b>
Responsibilities</b></h2><ul>
<li>Support the delivery of projects, managing data center constraints (e.g., power, space, cooling, operations, and network) in colocation data center deployments.</li>
<li>Create and manage physical layouts and standards, including the deployment impact and feasibility of NPIs. Define and manage tooling requirements for planning and delivery.</li>
<li>Own and support relationships between cross-functional teams, track deployment workflows with partner teams, and raise issues to ensure on-time follow-through.</li>
<li>Influence the development of new products (NPI) and colocation server floor design decisions, focused particularly on upcoming fleetwide transitions in the ML and accelerators space.
</li><li>Drive the development of new tools and decision-making frameworks for optimizing fleet life-cycle.</li>
</ul></div>Google is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. See also Google's EEO Policy and EEO is the Law. If you have a disability or special need that requires accommodation, please let us know by completing our Accommodations for Applicants form.</div>

Technical Program Manager II, Capacity Constraints Management, Cloud Infrastructure

<div><div><p><b>Position: QA Engineer III
</b></p><p><b>Location: Atlanta, GA
</b></p><p><b>Duration: 5 Months
</b><br>
<b>Client: Southern Company Services<br>
</b><br>
<br>
</p><p></p><p>Southern Company Services is seeking an experienced QA Engineer III to support quality engineering, test automation, performance testing, and release readiness across enterprise applications.
</p><p></p><p>The ideal candidate will have strong experience with API automation, regression testing, CI/CD integration, performance testing, defect analysis, and cross-functional collaboration with Engineering, Product, and DevOps teams.
</p><p></p><p><b>Key Responsibilities
</b></p><p>&middot; Develop and execute test strategies for regression, new functionality, integration, end-to-end, and performance testing.
</p><p>&middot; Create and maintain test plans, test cases, automated test suites, and exploratory test charters.
</p><p>&middot; Build reusable and maintainable automation frameworks for API and UI testing.
</p><p>&middot; Integrate automated tests into CI/CD pipelines and ensure reliable, actionable test results.
</p><p>&middot; Perform load, stress, endurance, scalability, and peak-volume testing.
</p><p>&middot; Establish performance baselines and monitor latency, throughput, response times, and error rates.
</p><p>&middot; Lead defect triage and support root-cause analysis.
</p><p>&middot; Partner with developers, product teams, and DevOps to improve testability, logging, instrumentation, and acceptance criteria.
</p><p>&middot; Provide clear reporting on test coverage, quality risks, release readiness, and recommendations.
</p><p>&middot; Support continuous improvement of quality-management processes and standards.
</p><p></p><p><b>Qualifications
</b></p><p>&middot; 5&ndash;10 years of experience in quality assurance, test automation, or software quality engineering.
</p><p>&middot; Strong experience with API testing and automation.
</p><p>&middot; Experience with UI, integration, and end-to-end testing.
</p><p>&middot; Hands-on experience with performance and reliability testing.
</p><p>&middot; Experience integrating automated testing into CI/CD pipelines.
</p><p>&middot; Strong knowledge of regression, risk-based, exploratory, and scripted testing.
</p><p>&middot; Experience with defect management, test reporting, and root-cause analysis.
</p><p>&middot; Strong communication, analytical, and problem-solving skills.
</p><p>&middot; Experience working with Engineering, Product, and DevOps teams.
</p><p>&middot; Utility, energy, or regulated-industry experience is preferred.
</p><p></p><p>-</p></div></div>

QA Engineer III

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QA Engineer III