8,549 AI Technology jobs in the United States

Job Family :

Digital Consulting

Travel Required :

Up to 10%

Clearance Required :

None

What Will You Do:

• Develop and implement data science models and AI solutions to solve complex business problems and drive innovation

• Design and build machine learning models

• Analyze large datasets to extract insights

• Collaborate with engineering and business teams

• Communicate findings through visualizations and reports

• Contribute to the development of AI products and platforms

What You Will Need

• US Citizenship is required

• Minimum FIVE (5) years of experience in data science

• Proficiency in Python R SQL and ML libraries Strong statistical and analytical skills

• Experience with cloud platforms and big data tools

• Ability to communicate technical concepts to non-technical audiences

What Would Be Nice to Have

• Experience with AI platforms like Palantir or Databricks

• Advanced degree in data science or related field

• Publications or presentations in data science forums

The annual salary range for this position is $130,000.00-$216,000.00. Compensation decisions depend on a wide range of factors, including but not limited to skill sets, experience and training, security clearances, licensure and certifications, and other business and organizational needs.

What We Offer :

Guidehouse offers a comprehensive, total rewards package that includes competitive compensation and a flexible benefits package that reflects our commitment to creating a diverse and supportive workplace.

Benefits include:

• Medical, Rx, Dental & Vision Insurance

• Personal and Family Sick Time & Company Paid Holidays

• Position may be eligible for a discretionary variable incentive bonus

• Parental Leave and Adoption Assistance

• 401(k) Retirement Plan

• Basic Life & Supplemental Life

• Health Savings Account, Dental/Vision & Dependent Care Flexible Spending Accounts

• Short-Term & Long-Term Disability

• Student Loan PayDown

• Tuition Reimbursement, Personal Development & Learning Opportunities

• Skills Development & Certifications

• Employee Referral Program

• Corporate Sponsored Events & Community Outreach

• Emergency Back-Up Childcare Program

• Mobility Stipend

About Guidehouse

Guidehouse is an Equal Opportunity Employer-Protected Veterans, Individuals with Disabilities or any other basis protected by law, ordinance, or regulation.

Guidehouse will consider for employment qualified applicants with criminal histories in a manner consistent with the requirements of applicable law or ordinance including the Fair Chance Ordinance of Los Angeles and San Francisco.

If you have visited our website for information about employment opportunities, or to apply for a position, and you require an accommodation, please contact Guidehouse Recruiting at 1- or via email at . All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodation.

All communication regarding recruitment for a Guidehouse position will be sent from Guidehouse email domains including @guidehouse.com or . Correspondence received by an applicant from any other domain should be considered unauthorized and will not be honored by Guidehouse. Note that Guidehouse will never charge a fee or require a money transfer at any stage of the recruitment process and does not collect fees from educational institutions for participation in a recruitment event. Never provide your banking information to a third party purporting to need that information to proceed in the hiring process.

If any person or organization demands money related to a job opportunity with Guidehouse, please report the matter to Guidehouse's Ethics Hotline. If you want to check the validity of correspondence you have received, please contact . Guidehouse is not responsible for losses incurred (monetary or otherwise) from an applicant's dealings with unauthorized third parties.

Guidehouse does not accept unsolicited resumes through or from search firms or staffing agencies. All unsolicited resumes will be considered the property of Guidehouse and Guidehouse will not be obligated to pay a placement fee.

Job Family :

Digital Consulting

Travel Required :

Up to 10%

Clearance Required :

None

What Will You Do

• Design build and maintain scalable AI and cloud infrastructure

• Support the deployment and operation of AI solutions

• Develop and maintain cloud-based AI infrastructure Implement CI CD pipelines and DevOps practices

• Ensure system reliability and performance

• Collaborate with data scientists and developers Monitor and troubleshoot production systems

What You Will Need

• US Citizenship is required

• Minimum FIVE (5) years of experience in cloud and DevOps engineering Proficiency in AWS Azure or GCP

• Experience with containerization and orchestration Docker Kubernetes

• Strong scripting and automation skills Understanding of AI ML deployment workflows

What Would Be Nice to Have

• Certifications in cloud platforms or DevOps

• Experience with AI model serving and monitoring

• Knowledge of security and compliance in cloud environments

The annual salary range for this position is $130,000.00-$216,000.00. Compensation decisions depend on a wide range of factors, including but not limited to skill sets, experience and training, security clearances, licensure and certifications, and other business and organizational needs.

What We Offer :

Guidehouse offers a comprehensive, total rewards package that includes competitive compensation and a flexible benefits package that reflects our commitment to creating a diverse and supportive workplace.

Benefits include:

• Medical, Rx, Dental & Vision Insurance

• Personal and Family Sick Time & Company Paid Holidays

• Position may be eligible for a discretionary variable incentive bonus

• Parental Leave and Adoption Assistance

• 401(k) Retirement Plan

• Basic Life & Supplemental Life

• Health Savings Account, Dental/Vision & Dependent Care Flexible Spending Accounts

• Short-Term & Long-Term Disability

• Student Loan PayDown

• Tuition Reimbursement, Personal Development & Learning Opportunities

• Skills Development & Certifications

• Employee Referral Program

• Corporate Sponsored Events & Community Outreach

• Emergency Back-Up Childcare Program

• Mobility Stipend

About Guidehouse

Guidehouse is an Equal Opportunity Employer-Protected Veterans, Individuals with Disabilities or any other basis protected by law, ordinance, or regulation.

Guidehouse will consider for employment qualified applicants with criminal histories in a manner consistent with the requirements of applicable law or ordinance including the Fair Chance Ordinance of Los Angeles and San Francisco.

If you have visited our website for information about employment opportunities, or to apply for a position, and you require an accommodation, please contact Guidehouse Recruiting at 1- or via email at . All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodation.

All communication regarding recruitment for a Guidehouse position will be sent from Guidehouse email domains including @guidehouse.com or . Correspondence received by an applicant from any other domain should be considered unauthorized and will not be honored by Guidehouse. Note that Guidehouse will never charge a fee or require a money transfer at any stage of the recruitment process and does not collect fees from educational institutions for participation in a recruitment event. Never provide your banking information to a third party purporting to need that information to proceed in the hiring process.

If any person or organization demands money related to a job opportunity with Guidehouse, please report the matter to Guidehouse's Ethics Hotline. If you want to check the validity of correspondence you have received, please contact . Guidehouse is not responsible for losses incurred (monetary or otherwise) from an applicant's dealings with unauthorized third parties.

Guidehouse does not accept unsolicited resumes through or from search firms or staffing agencies. All unsolicited resumes will be considered the property of Guidehouse and Guidehouse will not be obligated to pay a placement fee.

• You are a strong software engineer used to helping software-as-a-service engineering teams move fast. You have proven expertise in SaaS application development and know industry best practices. However, you balance speed with a deep understanding of quality and security needs
• You are a skilled user of AI technologies and have hands-on experience embedding AI into SaaS applications. You have a strong understanding of prompt engineering and optimization, the strengths of various models, RAG architectures, and agentic frameworks. You have been using this knowledge in SaaS applications for at least 2 years
• You want to be part of a successful and fast-moving team. You communicate well in both synchronous (e.g., video calls, Slack) and asynchronous tools (e.g., Confluence, Jira). You strive to understand the underlying issue and work to propose and implement the best solution while listening and incorporating suggestions and feedback from teammates
• You want to make a difference. You understand the fastest path to your success, and ours, fundamentally depends on helping our customers, partners, and teammates succeed. We're on a mission to help small local businesses grow through hyperlocal lead generation. You believe that's important and can't wait to help
• You get stuff done. You know how to break projects down into meaningful tasks, document them, and move them across the board to done. You like to do things right the first time rather than having to do them two or three times. You document as you go, so that your teammates can stay up to date and in sync with your work
• You have a proven track record. You've delivered high-quality, successful, and scalable SaaS products. You have 8+ years of hands-on experience building SaaS applications. You learned by getting a degree in a relevant field (Computer Science, Engineering, etc.) then getting hands-on experience or jumping right in learning on the job

• Demonstrate accountability for the features you work on, from requirements gathering to deployment and follow-up
• Proactively raise concerns or flag risks related to timelines, scope, or technical decisions
• Understand and align with the business goals and adapt technical work to support them
• Discuss, evaluate, and propose software design trade-offs based on your deep understanding of SOLID principles
• Give and receive code reviews with a focus on growth, quality, and maintainability
• Work with CI/CD pipelines using tools such as Jenkins, GitLab CI, or GitHub Actions
• Actively seek feedback and be eager to learn from others
• Show initiative by suggesting improvements, whether in tooling, processes, or product
• Clearly communicate designs and decisions
• Collaborate effectively with stakeholders to define and refine requirements
• Release secure applications based on your solid understanding of security best practices, including authentication and authorization mechanisms and protocols
• Stay up to date with the latest trends and advancements in technology, security, and architecture. Evaluate emerging technologies
• Reduce admin burden and eliminate blockers to stay on track
• Jump in where needed, always being bold and leading by example

• Develop complex, secure, and high-performing features in both PHP and Python, including writing unit and integration tests for continuous integration environments
• Maintain and create Dockerfiles using your experience in Docker and other containerization technologies
• Design and develop large-scale APIs using a deep understanding of REST principles
• Document and validate your work with OpenAPI and JSON Schema for API documentation and validation
• Write complex SQL queries, including advanced techniques such as Common Table Expressions (CTEs)
• Optimize and design queries for Lucene-based database management systems, such as Elasticsearch or Solr
• Create developer-friendly API documentation

• Engineer and optimize prompts
• Select the best model for the requirements and implementation
• Architect and implement RAG
• Employ agentic frameworks
• Advocate for responsible and efficient use of AI across teams
• Bonus points for cloud architecture, engineering, or security certifications, especially for AWS

Head of Autonomous Driving Technology & AI Development “Invented for Life” drives us at Bosch and our vision of future mobility. Autonomous vehicles will change the way we move, and at Bosch, we are working on making this future a reality. We are now growing our team to solve some of the hardest automated driving problems and are looking for experts in product engineering of AI-based Autonomous Driving systems. As the Head of Technology and Development for ADAS in North America, you will lead the technical vision, strategy, and execution for our global advanced driver assistance systems development and deployment. This includes driving innovation, overseeing a high-performing engineering team, and collaborating closely with global counterparts to deliver cutting-edge L2+ and L3 ADAS solutions. You will focus on the overall functional ADAS technology roadmap and define the ADAS development and delivery ecosystem to enable our success, including managing a global, multi-project data-driven platform for training, testing, and deploying AI models focused on ADAS systems. Responsibilities Lead ADAS Technology Strategy: Define and execute the North American ADAS technology roadmap, aligned with global Bosch strategy and customer needs, including architecture, technology selection, and development processes. Drive Innovation: Foster a culture of innovation by exploring emerging technologies and evaluating new concepts, algorithms, and hardware to enhance our ADAS offerings. Build and Manage Teams: Lead, mentor, and inspire a team of skilled engineers, managing resources, performance, and talent acquisition. Global Collaboration: Work closely with global ADAS teams to ensure alignment and leverage regional synergies. AI Development Ecosystem Ownership: Build and lead a global team to define the data lifecycle and business processes for developing and deploying ML-based ADAS systems. Oversee the design of the ADAS system delivery ecosystem, including data acquisition, processing, model training, testing, validation, and deployment. Ensure seamless AI model integration into the broader ADAS software architecture and promote modern software development and DevOps practices (CI/CD, Agile). Stay updated on AI/ML trends and adapt the ecosystem accordingly. Customer Engagement & Partnerships: Build and maintain relationships with key automotive industry customers and partners to understand their needs and inform product development. Basic Qualifications Master's or PhD in Computer Science, Electrical Engineering, or related field. 10+ years in software engineering, with focus on embedded systems, automotive, or robotics, including data-driven software development with ML/AI. Proven track record in leading complex software projects in the ADAS domain over the last 5 years. Deep understanding of cloud infrastructure (AWS, Azure, GCP). Experience with data lifecycle management. Proficiency in C++, Python, and relevant programming languages. Experience with ADAS system architecture for L2+ and L3 autonomy. Strong leadership and management skills for large, dispersed teams. Excellent communication skills for interaction with senior management and stakeholders. Knowledge of automotive standards and regulations. Preferred Qualifications Leadership experience with large, diverse, global project teams. Ability to interact with C-Suite management and develop strategic visions. Knowledge of automated driving technologies and the automotive industry. Adaptability to new business challenges and cloud architecture solutions for a multi-customer landscape. The U.S. base salary range for this full-time position is $290,000 - $450,000. Compensation includes benefits such as health plans, HSA, FSA, 401(K), wellness programs, insurance, paid time off, and parental leave. Salary details will be discussed during the interview process. Bosch complies with all applicable laws regarding drug testing and background checks before employment commencement. #J-18808-Ljbffr

Introduction

A Technology Sales Engineer role (what we internally call a, 'Brand Technical Specialist') within IBM's Data & AI brand for AI Assistants means accelerating enterprises' success by improving their ability to understand their data. It means providing solutions that enable people across organizations, in multiple roles, the ability to turn data into actionable insights without having to wait for IT. And it means selling multi-award winning software, and world-class design practices that enables business analysts to ask new questions. The answers to which are literally shaping the future and changing the world.

Excellent onboarding and an industry leading learning culture will set you up for positive impact and success, whilst ongoing development will advance your career through an upward trajectory. Our sales environment is collaborative and experiential. Part of a team, you'll be surrounded by bright minds and keen co-creators - always willing to help and be helped - as you apply passion to work that will compel our clients to invest in IBM's products and services.

Your role and responsibilities

As a Brand Technical Specialist (BTS) for AI Assistants you'll work closely with clients to develop relationships, understand their needs, earn their trust and show them how IBM's industry leading solutions will solve their problems whilst delivering value to their business.

Your primary responsibilities will include:

Product Demonstration: Creating client facing demos for the following products - Watsonx assistants, Watsonx orchestrate, Watsonx code assistant, Watsonx BI, Watson APIs, Cognos Analytics, Planning Analytics, SPSS Modeler, Business Analytics, Blueworks Live, Business Automation, CP4BA, Decision Mgmt, RPA, Process Mining, Workflow Automation, WCAz

Client Strategy Design: Creating client strategies for Data & AI infrastructure.

Solution Definition: Defining IBM Data & AI solutions that enhance technology stacks.

Educational Support: Providing proof of concepts and simplifying complex topics to educate clients.

Credibility Building: Establishing credibility and trust to facilitate the closure of intricate deals.

Required technical and professional expertise

· Business Goal Translation: Translating business goals into technical solutions through collaborative teamwork.

· Stakeholder Influence: Utilizing strong interpersonal and communication skills to influence diverse senior stakeholders within enterprises.

· Hands-on experience with the following products: Watsonx assistants, Watsonx orchestrate, Watsonx code assistant, Watsonx BI, Watson APIs, Cognos Analytics, Planning Analytics, SPSS Modeler, Business Analytics, Blueworks Live, Business Automation, CP4BA, Decision Mgmt, RPA, Process Mining, Workflow Automation, WCAz.

· Two years or more client facing experience selling software solutions.

Preferred technical and professional experience

Data & AI Market Knowledge: Expertise in the Data & AI market to quickly become a trusted client advisor.

IBM is committed to creating a diverse environment and is proud to be an equal-opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, gender, gender identity or expression, sexual orientation, national origin, caste, genetics, pregnancy, disability, neurodivergence, age, veteran status, or other characteristics. IBM is also committed to compliance with all fair employment practices regarding citizenship and immigration status.