What AI & Emerging Technologies Jobs are in data analytics?

DataBank Holdings Ltd. is a leading provider of enterprise-class data center, cloud, and interconnection services, offering customers 100% uptime availability of data, applications, and infrastructure. DataBank's managed data center services are anchored in world-class facilities. Our customized technology solutions are designed to help customers effectively manage risk, improve technology performance, and allow focus on core business objectives. DataBank is headquartered in the historic former Federal Reserve Bank Building, in downtown Dallas, TX.

DataBank is proud to be an Equal Opportunity Employer. Our work culture does not discriminate based on actual or perceived race, creed, color, religion, alienage or national origin, ancestry, citizenship status, age, disability or handicap, sex, marital status, veterans' status, gender, gender identity, gender expression, genetic information, sexual orientation, or any other characteristic protected by applicable federal, state, or local law.

We're looking for a hands-on Director of AI & Data Analytics who still loves getting their hands dirty in code. This isn't a "pure management" role where you sit in meetings all day - You'll spend roughly 50% of your time leading and mentoring your team and other engineering members, and the remaining 50% hands-on, writing SQL, building data pipelines, architecting solutions, and tackling complex technical challenges directly.

You'll be the technical architect and strategic driver of DataBank's data and AI initiatives, turning our mountain of infrastructure, operations, and customer data into actual intelligence that people use. Think: predictive analytics that prevent problems before they happen, AI models that optimize efficiency across data centers, and self-service analytics that make everyone's life easier. The ideal candidate blends technical depth in data architecture, AI/ML engineering, and cloud analytics with a strong business sense for driving measurable outcomes.

• Partner with leaders across the business to understand their data challenges (and translate "I need a report" into "here's the insight you actually need")
• Design and model data solutions that enable self-service analytics - because teaching people to fish is way better than becoming the company's fish-delivery service
• Build cross-functional relationships with engineering, product, finance, operations, and marketing teams who all have "just one quick data question" teams to quantify ROI and inform strategic decision-making
• Measure and report key business metrics, operational efficiency, customer growth, and service quality
• Mentor and align business analysts in other departments on their reporting strategies
• Define and execute a company-wide AI and analytics roadmap aligned with DataBank's business and technology objectives
• Drive the evolution from traditional BI to predictive and generative AI-driven insights across DataBank's data ecosystem
• Champion the integration of AI into key workflows, from customer intelligence to operational automation.
• Develop AI models for forecasting, anomaly detection, and intelligent automation in data center operations
• Build ML pipelines that go beyond PowerPoints demos and into production

• Untangle and optimize data structures that have gotten "organically complex" over time
• Optimize the existing MSSQL to Snowflake replication and data warehousing strategy to establish patterns of anti-fragility

• Build and mentor a high-performing team of data engineers, scientists, and AI specialists
• Define and execute an AI and analytics roadmap that aligns with business objectives (the real ones, not just buzzword bingo)
• Champion the evolution from "here's what happened" to "here's what's about to happen and what we should do about it"

• Implement data quality, security, and compliance frameworks that meet regulatory standards
• Ensure AI practices align with compliance requirements where applicable

• Bachelor's degree in computer science, Data Science, Engineering, or related field (Master's preferred)
• 10+ years wrangling data, building pipelines, or developing AI/ML solutions with 3+ years in leadership roles
• Proven experience building scalable data platforms and deploying production-grade AI/ML solutions.
• Deep expertise in data modeling - you dream in star schemas and know when to denormalize. Extra credit if you have a small shrine dedicated to Ralph Kimball.
• Proven track record building scalable data platforms and deploying production-grade AI/ML solutions
• Experience with modern AI/ML frameworks (PyTorch, TensorFlow, Hugging Face, LangChain)

• Data warehousing - 5 years. Snowflake preferred, Databricks, AWS/Azure data services are an acceptable alternative
• Enterprise BI Reporting - 5 years. Sigma Computing preferred. Power BI or Tableau is an acceptable alternative
• Orchestration tools (Airflow and dbt)

This isn't just "build dashboards and call it analytics." You'll be:

• Designing the data foundation for one of the fastest-growing data center companies in the world, operating 65+ data centers across North America
• Building AI capabilities that optimize real-world physical infrastructure (power, cooling, capacity planning)
• Creating intelligence systems that make our customers' lives better and our operations more efficient
• Working cross-functionally with smart people who actually care about using data well
• Having the autonomy to fix technical debt while building new capabilities

Translation: You get to solve hard technical problems, work with interesting data, and see real business impact from your work.

• Lead a high-impact AI and data analytics function at the intersection of cloud, edge, and infrastructure innovation
• Collaborative, values-driven culture that prioritizes integrity, innovation, and operational excellence
• Competitive compensation, 401(k) match, health and wellness benefits, and generous PTO

To be considered for this position, all candidates must be U.S. citizens or hold valid Green Card and live in the U.S. This requirement is due to DataBank's compliance with FedRAMP and FISMA regulations.

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Job Number: R

Job Title: AI Software Engineer, Senior

As an AI software engineer, you know that good software is more than just a nice-looking interface and data. Today, you need to develop user-focused solutions that increase organizational efficiency and enable better decision-making. Booz Allen is the leading provider of AI services to the nation—we're looking for a software engineer like you to create artificial intelligence and machine learning solutions that help solve the nation’s toughest problems.

On our team, you'll create and implement complete end-to-end solutions that modernize client systems. You'll ensure that your team's solutions consider the broader ecosystem and operating environment as well as future functionality and enhancements. Additionally, you'll deepen your skill set in areas like AI and cloud.

Ready to transform national security systems for the better with AI technology?

Join us. The world can't wait.

• Experience with advanced software engineering in multiple modern programming languages
• Experience with Integrated Development Environments (IDEs), developer tools, or build and test systems
• Experience with AI or LLM-powered developer tools, including chat-based interfaces or automated coding agents
• Experience prototyping, evaluating, and refining experimental tooling
• Knowledge of software development workflows and best practices
• TS/SCI clearance with a polygraph
• Bachelor's degree and 12+ years of experience in software engineering, or 16+ years of experience in software engineering in lieu of a degree

• Experience with automated code review or static analysis tools
• Experience working on developer platforms or internal engineering enablement teams
• Experience with CI/CD pipelines and DevOps practices
• Experience developing VS Code extensions such as Typescript or Electron
• Knowledge of agentic AI frameworks or orchestration systems

Applicants selected will be subject to a security investigation and may need to meet eligibility requirements for access to classified information. TS/SCI clearance with polygraph is required.

At Booz Allen, we celebrate your contributions, provide you with opportunities and choices, and support your total well-being. Our offerings include health, life, disability, financial, and retirement benefits, as well as paid leave, professional development, tuition assistance, work-life programs, and dependent care. Our recognition awards program acknowledges employees for exceptional performance and demonstrates our values. Full-time and part-time employees working at least 20 hours a week on a regular basis are eligible to participate in Booz Allen's benefit programs. Individuals that do not meet the threshold are only eligible for select offerings, not inclusive of health benefits. We encourage you to learn more about our total benefits by visiting the Resource page on our Careers site and reviewing Our Employee Benefits page.

Salary at Booz Allen is determined by various factors, including but not limited to location, the individual's particular combination of education, knowledge, skills, competencies, and experience, as well as contract-specific affordability and organizational requirements. The projected compensation range for this position is $86,800.00 to $198,000.00 (annualized USD). The estimate displayed represents the typical salary range for this position and is just one component of Booz Allen's total compensation package for employees. This posting will close within 90 days from the Posting Date.

As part of the hiring process, we will ask you to complete an identity verification process that leverages advanced biometrics and artificial intelligence to ensure authenticity and protect against identity fraud. You are expected to be on camera during interviews and assessments. We reserve the right to take your picture to verify your identity and prevent fraud.

AI is a part of our daily work at Booz Allen, and we are committed to the responsible and ethical use of AI tools. However, we want to ensure a fair candidate process based on your own skills and knowledge. As part of this commitment, the use of artificial intelligence (AI) or other tools to assist with responses during interviews (whether in-person or virtual) is prohibited unless permission is explicitly provided.

Our people-first culture prioritizes collaboration, whether it occurs in person or virtually. To support engagement and effective communication, employees working virtually are generally expected to have their cameras on during meetings.

• Remote : If this position is listed as remote, there may still be occasions when you are required to work in person at a Booz Allen or customer facility.
• Hybrid : If this position is listed as hybrid, you will be expected to work from a Booz Allen facility frequently, in alignment with leadership expectations and the needs of the role. You may also be required to work from or visit a customer facility.
• Onsite : If this position is listed as onsite, work will primarily be performed at a Booz Allen office or customer facility, where employees will collaborate directly with colleagues and customers as required by the role.

All qualified applicants will receive consideration for employment without regard to disability, protected veteran status, or any other status protected by applicable federal, state, local, or international law.

Senior Software Engineer, AI/ML Recommendations, Rankings, Predictions, YouTube

Mountain View, CA, USA

Experience driving progress, solving problems, and mentoring more junior team members; deeper expertise and applied knowledge within relevant area.

Apply

• Bachelor’s degree or equivalent practical experience.
• 5 years of experience programming in Python and C++.
• 3 years of experience testing, maintaining, or launching software products, and 1 year of experience with software design and architecture.
• 3 years of experience building and deploying recommendation systems models (retrieval, prediction, ranking, personalization, search quality, embedding) in production; and experience building architecture.
• 3 years of experience with ML infrastructure (e.g., model deployment, model evaluation, optimization, data processing, debugging).

• Master's degree or PhD in Computer Science or related technical field.
• 5 years of experience with data structures/algorithms.
• 1 year of experience in a technical leadership role.

Google's software engineers develop the next-generation technologies that change how billions of users connect, explore, and interact with information and one another. Our products need to handle information at massive scale, and extend well beyond web search. We're looking for engineers who bring fresh ideas from all areas, including information retrieval, distributed computing, large-scale system design, networking and data storage, security, artificial intelligence, natural language processing, UI design and mobile; the list goes on and is growing every day. As a software engineer, you will work on a specific project critical to Google’s needs with opportunities to switch teams and projects as you and our fast‑paced business grow and evolve. We need our engineers to be versatile, display leadership qualities and be enthusiastic to take on new problems across the full‑stack as we continue to push technology forward.

At YouTube, we believe that everyone deserves to have a voice, and that the world is a better place when we listen, share, and build community through our stories. We work together to give everyone the power to share their story, explore what they love, and connect with one another in the process. Working at the intersection of cutting‑edge technology and boundless creativity, we move at the speed of culture with a shared goal to show people the world. We explore new ideas, solve real problems, and have fun — and we do it all together.

The US base salary range for this full‑time position is $166,000-$244,000 + bonus + equity + benefits. Our salary ranges are determined by role, level, and location. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. Your recruiter can share more about the specific salary range for your preferred location during the hiring process.

Please note that the compensation details listed in US role postings reflect the base salary only, and do not include bonus, equity, or benefits. Learn more about benefits at Google.

• Write and test product or system development code.
• Collaborate with peers and stakeholders through design and code reviews to ensure best practices amongst available technologies (e.g., style guidelines, checking code in, accuracy, testability, and efficiency).
• Contribute to existing documentation or educational content and adapt content based on product/program updates and user feedback.
• Triage product or system issues and debug/track/resolve by analyzing the sources of issues and the impact on hardware, network, or service operations and quality.
• Design and implement recommendation systems models across different domains, leverage ML infrastructure, and contribute to architecture design.

Google is proud to be an equal opportunity and affirmative action employer. We are committed to building a workforce that is representative of the users we serve, creating a culture of belonging, and providing an equal employment opportunity regardless of race, creed, color, religion, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition (including breastfeeding), expecting or parents-to-be, criminal histories consistent with legal requirements, or any other basis protected by law. See also Google's EEO Policy, Know your rights: workplace discrimination is illegal, Belonging at Google, and How we hire.

Google is a global company and, in order to facilitate efficient collaboration and communication globally, English proficiency is a requirement for all roles unless stated otherwise in the job posting.

To all recruitment agencies: Google does not accept agency resumes. Please do not forward resumes to our jobs alias, Google employees, or any other organization location. Google is not responsible for any fees related to unsolicited resumes.

Overview

Tiger Analytics is looking for experienced Machine Learning Engineer with Gen AI experience to join our fast-growing advanced analytics consulting firm. Our employees bring deep expertise in Machine Learning, Data Science, and AI. We are the trusted analytics partner for multiple Fortune 500 companies, enabling them to generate business value from data. Our business value and leadership has been recognized by various market research firms, including Forrester and Gartner.

We are looking for an experienced AI/ML Lead with deep expertise in designing and deploying high-performance APIs and microservices on AWS Fargate (ECS) . The ideal candidate will have hands-on experience in generative AI integration , LLM API development , and AWS Bedrock services , contributing to building scalable GenAI and Agentic AI applications.

• Design, build, and optimize high-performance APIs and microservices using Python (Fast API) deployed on AWS Fargate (ECS) .
• Integrate LLM and Generative AI APIs using providers such as AWS Bedrock , OpenAI , and others.
• Collaborate with ML and DevOps teams to design CI/CD and MLOps pipelines within the AWS ecosystem .
• Contribute to architectural decisions around scalability, latency management, and backend efficiency for AI-powered systems.
• (Preferred) Leverage familiarity with Bedrock Agent Core services to integrate intelligent agent capabilities.
• Develop and maintain JSON RESTful APIs , adhering to OpenAI API conventions and best practices.

• 5+ years of hands-on software development experience with Python .
• Proven expertise in FastAPI and microservice architecture .
• Strong understanding of cloud-native applications , container orchestration (ECS, Docker) , and AWS tools.
• Proficiency in LLM API integration and working with Generative AI frameworks .
• Experience implementing CI/CD, IaC, and ML pipelines across AWS environments.
• Familiarity with Bedrock AgentCore or other agentic systems (nice to have).

You’ll be part of an innovative team building the next generation of AI-driven applications , where scalability, performance, and intelligent automation converge. This is an opportunity to push boundaries in Agentic AI infrastructure development in a supportive, fast-moving environment.

Significant career development opportunities exist as the company grows. The position offers a unique opportunity to be part of a small, fast-growing, challenging and entrepreneurial environment, with a high degree of individual responsibility.

Tiger Analytics provides equal employment opportunities to applicants and employees without regard to race, color, religion, age, sex, sexual orientation, gender identity/expression, pregnancy, national origin, ancestry, marital status, protected veteran status, disability status, or any other basis as protected by federal, state, or local law.