15,780 AI Builder jobs in the United States

About Velocity-X:
Velocity-X, a VelocityBlack company, constructs and deploys data management and analytics solutions for the defense and intelligence communities. We're proud to boast a world-class engineering team that thrives on rolling up their sleeves to solve your mission's biggest challenges.

Velocity-X is seeking a highly motivated and self-directed professional to fill the role of Artificial Intelligence (AI) Engineer to support our team in Northern Virginia.

Responsibilities:

• Design, develop, and implement scalable AI/ML computing infrastructures and application stacks.
• Build and deploy machine learning models and AI solutions from scratch.
• Transform machine learning models into APIs for integration with other applications.
• Collaborate with data scientists, software engineers, and business stakeholders to understand requirements and deliver AI solutions.
• Conduct statistical analysis and interpret results to guide and optimize decision-making.
• Manage data ingestion, preprocessing, and feature engineering to ensure data quality for model training.
• Optimize AI algorithms for performance, scalability, and efficiency.
• Stay up-to-date with the latest AI and machine learning advancements, research, and tools.
• Troubleshoot and resolve AI-related issues, ensuring the reliability and accuracy of AI applications.
• Document architecture roadmaps, reference architectures, and standard operating procedures for AI solutions.
• Potentially lead cross-functional teams in identifying and prioritizing areas where AI can provide business benefits.
• Advise stakeholders on AI strategy, technology, and policy issues.
• Automate AI infrastructures for the data science team.
• Evaluate and implement best practices in AI/ML, data mining, and analytics.

Qualifications:

• Master's in Computer Vision, Computer Science, Electrical Engineering, Mathematics or related field.
• 10+ years experience with 3+ years of demonstrated and related industry experience
• Strong programming skills in languages such as Python, Java, and/or R.
• Experience with machine learning frameworks such as TensorFlow, Keras, and/or PyTorch.
• Solid understanding of machine learning algorithms (supervised, unsupervised, reinforcement learning), deep learning, and neural networks.
• Experience with data preprocessing, feature engineering, and model evaluation techniques.Familiarity with data management and big data technologies (e.g., Spark, Hadoop, SQL, NoSQL databases).
• Knowledge of cloud platforms (e.g., AWS, Azure, GCP) and their AI/ML services.
• Strong analytical and problem-solving skills.
• Excellent communication and collaboration skills to articulate technical solutions to both technical and non-technical audiences.
• Understanding of basic algorithms, object-oriented and functional design principles.
• Experience with version control systems like Git.

Position Clearance Requirement:

TS/SCI with Full-Scope Polygraph

Equal Opportunity Employer:

Velocity-X is an Equal Opportunity Employer. Employment decisions are made without regard to race, color, religion, national origin, gender, sexual orientation, gender identity, age, physical or mental disability, genetic factors, military/veteran status or other characteristics protected by law.

• Designing: Architect greenfield autonomous agent systems and robust tools to integrate AI capabilities into existing applications.
• Developing: Build and maintain web services using modern cloud technologies and best practices.
• Testing: Ensure AI tools, workflows, and agent systems meet performance, accuracy, and reliability standards through comprehensive testing and monitoring.

• Bachelor's degree in Computer Science, Engineering, Machine Learning, or a related field
• 8+ years of experience in full-stack software development with focus on AI/ML systems
• 5+ years of experience building and deploying applications on cloud platforms such as AWS, Azure, or Google Cloud
• Proof of successful deployment of LLM-based agents or workflows to automate work for a commercial (profitable) use-cases integrated into production software.
• Demonstrated experience measuring and improving the performance of RAG (Retrieval-Augmented Generation) and fine-tuned AI systems to meet production ROI requirements
• Strong background in building observability, monitoring, and logging systems for AI/ML applications in production environments.

• Experience with containerization technologies (e.g., Docker, Kubernetes)
• Experience with real-time data streaming technologies (e.g., Apache Kafka, Amazon Kinesis)
• Experience with vector databases and embedding systems
• Knowledge of AI safety, responsible AI practices, and model governance
• Experience with A/B testing frameworks for AI systems

KDA Consulting is a Disabled Veteran, Woman-Owned, Certified Disadvantaged Small Business, comprised of a diverse team of professionals driven to tackle the demanding National Defense and Intelligence challenges through IT solutions.  We emphasize teamwork and focus on achieving goals to complete deliverables efficiently, on-time, and under budget. 

We are currently seeking an Artificial Intelligence (AI) Engineer to join our team to support our Government Partner.

Primary Job Duties and Required Work Experience:

1. Working in a fast-paced, dynamic environment supporting the development of Artificial Intelligence (AI) engineering and capabilities.

2. Working closely with Intel government customers and IT developers to create artifacts for AI architecture and AI security based on experience and real-world considerations.

3. Expert in the field of AI with strong technical writing skills.

4. Experience with the IC, including experience with non-DoD IC elements.

5. Expertise in one or more or the following subfields:

• AI architecture

• AI engineering

• AI model development

• AI research

• Data architecture

• Data engineering and/or library sciences

6. Experience with AI assurance, AI security, and/or AI privacy.

7. Forward-leaning and ability to recommend necessary improvements to achieve the Customer’s vision.

Desired Skills:

1. Experience with Power BI or other BI tools.

2. Experience with Python development.

3. Experience with R, Tableau, or other data visualization/analytical software.

• Develop AI Solutions: Design, develop, and deploy AI-driven applications for electric vehicles, components, and humanoid robotics, leveraging machine learning and deep learning techniques.

• AI Model Training & Optimization: Utilize and refine AI models, including LLMs, for performance enhancement in vehicle systems, robotics, and intelligent automation.

• Software & Infrastructure Development: Build and maintain AI software infrastructure, including APIs, deployment pipelines, and real-time data processing systems.

• Humanoid Robotics Development: Implement AI models and control algorithms for robotics, focusing on motion planning, manipulation, perception, and behavior coordination.

• Hardware & Systems Integration: Design and develop AI-integrated hardware, including sensors, actuators, and embedded systems for vehicles and robotics.

• Technology Scouting & Research: Identify and evaluate emerging AI trends to enhance SERES' technology roadmap in automotive and robotics.

• Problem-Solving & Optimization: Troubleshoot and refine AI applications for robustness, scalability, and real-world deployment.

• Technical Communication: Present findings, demonstrations, and reports to cross-functional teams and stakeholders.
• Continuous Learning: Stay updated on AI advancements to drive innovation and best practices.

• Education: Bachelor's, Master's, or PhD in Robotics, Engineering, Computer Science, or a related field.

• Experience: 3+ years in AI applications for electric vehicles, robotics, large language models (LLMs), or machine learning.

• Machine Learning & AI: Strong understanding of ML algorithms, data analysis, and AI model training for vehicle components and robotics.

• Software Engineering: Proficiency in software development, including coding, testing, and deployment, with experience in real-time simulation tools.

• Robotics & Control Systems: Expertise in at least one core robotics area:

• Perception & computer vision

• Motion planning & manipulation

• State estimation & behavior coordination

• Mathematical & Analytical Skills: Strong grasp of spatial kinematics, dynamics, and related mathematical concepts.

• Programming Proficiency: Expertise in Python, C++, and MATLAB.

• Communication & Collaboration: Strong written and verbal communication skills to convey technical details effectively.

• Teamwork & Innovation: Ability to work in cross-functional teams and contribute to AI-driven advancements in vehicles and robotics.

• Familiarity with standard robotics frameworks such as ROS/ROS2.

• Expertise in GPU programming using CUDA.

• Hands-on experience in modeling and programming artificial neural networks for perception, motion planning, or robotic behavior coordination.

• Knowledge of deep learning libraries such as TensorFlow, PyTorch, or OpenCV.

• Experience in integrating large language models into robotic systems for advanced behavior coordination and interaction.

Join the Texas Health and Human Services Commission (HHSC) and be part of a team committed to creating a positive impact in the lives of fellow Texans. At HHSC, your contributions matter, and we support you at each stage of your life and work journey. Our comprehensive benefits package includes 100% paid employee health insurance for full-time eligible employees, a defined benefit pension plan, generous time off benefits, numerous opportunities for career advancement and more. Explore more details on the Benefits of Working at HHS webpage.

Functional Title: Cloud Artificial Intelligence (AI) Engineer
Job Title: Systems Analyst VII
Agency: Health & Human Services Comm
Department: IT Data Analytics Support
Posting Number: 7212
Closing Date: 10/15/2025
Posting Audience: Internal and External
Occupational Category: Computer and Mathematical
Salary Group: TEXAS-B-29
Salary Range: $8,488.33 - $10,832.40
Pay Frequency: Monthly
Shift: Day
Additional Shift: Days (First)
Telework:
Travel: Up to 40%
Regular/Temporary: Regular
Full Time/Part Time: Full time
FLSA Exempt/Non-Exempt: Exempt
Facility Location:
Job Location City: AUSTIN
Job Location Address: 4601 W GUADALUPE ST
Other Locations:
MOS Codes: 0171,8848,8858,181X,182X,255A,255S,25B,25D,25N,26B,3D0X2,3D0X4,62E,681X,682X,781X,782X,CT,CTM,CTR
CYB10,CYB11,ISM,IT,Z Prefix

Brief Job Description:

The Cloud Artificial Intelligence (AI) engineer will focus on the design and architecture for IT modernization and transformation for Chief Technology Officer (CTO) initiatives. This person leads strategic initiatives and workgroups, possesses solid technology skills, and has a base understanding of HHS business processes. This position will perform advanced, senior-level technology architecture work in support of HHS CTO projects whose scope is to address HHS-wide technology needs. This position will work closely with the CTO, Deputy CTO, Chief Enterprise Architect, portfolio manager, application development teams, business stakeholders and other partners.

They will have to utilizes agile development practices and works together with other teams in support of application enhancements. They will act independently or as a member of a workgroup or project team. They are responsible for the quality and on-time delivery of the deliverables. This position will work under minimal direction with considerable latitude for the use of initiative and independent judgment.

Essential Job Functions (EJFs):

(30%) Leads the work efforts for CTO strategic initiatives and/or technology projects. Serves as a lead cloud AI engineer defining, leading and delivering initiative/or technology projects that meet specific business needs. Conducts and oversees studies and the preparation of initiative reports that include study findings, presentations, recommendations, and instructions for proposed system implementations/enhancements; formulates logical descriptions of problems; and designs and implements optimum solutions. Enables delivery and execution against a highly advanced and/or managerial (senior level) computer systems analysis work. Work involves hands-on planning and analyzing user requirements, procedures, and problems to automate processing or to improve existing systems. Prepares As Is and To Be analysis, Gap analysis, SWOTs, charts, diagrams, and tables that depict the present and proposed systems in terms of an estimation of costs, benefits, and work effort. Plans and schedules studies and system implementations. Provides technical and business process guidance.

(25%) Drives and leads data/AI initiatives that cross functional agency systems, other IT groups and other state entities that require coordinating, planning, and scheduling during project development and implementation stages. Provides options in the determination and implementation of architectural solutions. Provides a design and implementation of new and revised methods that effectively meet agency needs. Ensures that designs comply with data security requirements for each category of data contained in a solution.

(15%) Designs, develop and administers highly scalable AI systems with core capabilities across cloud-based provider services. This includes reporting and full system integration.

(15%) Leads and participates in solution implementation to include - coordinating and solving problems, analyzing systems and procedures, developing or revising existing code; scheduling, testing, installing, and implementing systems; writing or revising standards and procedures.

(5%) Articulates the current state and desired state of a technical solutions, identifies gaps between the two states, and develops approaches to close any gaps. Collaborates with HHS IT groups on recommendations. Assists in the preparation of information technology planning and justification.

(5%) Oversees the process of developing training for staff prior to implementation of a new technology or data analytics platform. May also conduct the training of technical staff and program staff on the use of the new tools, technologies, or application.

(5%) Performs other duties as assigned.

Knowledge, Skills and Abilities (KSAs):
• Knowledge and hands-on experience of the limitations and capabilities of computer systems, information technology equipment, applicable programming languages, computer hardware and software, and computer operating systems.
• Knowledge of new cloud technologies and the analytical services available from the major cloud services providers.
• Knowledge of AI services and configuration required to setup the service available from major cloud services providers.
• Knowledge of databases, such as Snowflake, Oracle, and NoSQL data stores, e.g. Postgres.
• Knowledge of cloud delivery models: PaaS, SaaS, IaaS.
• Knowledge of agile (scrum) methodology and scrum ceremonies.
• Knowledge of cloud-based services for AWS, Microsoft Azure or GCP.
• Strong technical writing and diagraming skills, including proficiency with modeling and mapping tools (e.g., Visio, Erwin), the Microsoft Office Suite (Word, Excel, and PowerPoint) and MS Project.
• Strong analytical and problem-solving skills with experience as a technology architect for a software development, data analytics, performance management system, or data warehousing project.
• Skill analyzing technology systems capabilities, limitations, defects, and business problems to draw evidence-based conclusions and devise innovative solutions.
• Ability to work under pressure and successfully manage multiple overlapping deadlines, and able to handle multiple cross-agency projects.
• Ability to produce reliable, accurate, high-quality results.
• Ability to be adaptable and learn quickly.
• Ability to deliver work within defined schedules, cost and quality.
• Ability to coordinate multiple assignments/projects, set priorities, and meet deadlines.
• Ability to communicate with a high level of effectiveness both verbally and in written formats.
• Ability to lead and provide direction to team members.
• Ability to lead the creation of best practices and procedures.
• Experience with JIRA software
• Prior experience in the Healthcare industry.

Registrations, Licensure Requirements or Certifications:

N/A

Initial Screening Criteria:

Required Qualifications

Candidates must meet all the following:

• Minimum 10 years of analytical IT experience in one or more of the following domains: business, cloud, data, application, network, or security architecture.
• At least 2 years of experience in an Architect role.

• Bachelor's degree in Computer Science, Information Systems, Business, or a related field on a year to year basis up to a maximum of 4 (four) years.
• 2-5 years of progressive experience in IT solution design, architecture, and implementation.
• 3+ years of experience with enterprise IT solutions in hosted/cloud environments.
• 2+ years of hands-on experience in at least two of the following:
• Enterprise Architecture Modeling
• System Engineering
• DevOps
• Security
• Networking
• Application Development
• Data Intelligence
• Infrastructure Services
• Database
• 1-2+ years of hands-on experience with Azure, AWS, or GCP in designing and deploying enterprise-level solutions.
• Familiarity with Agile, ITIL, and TOGAF frameworks.
• Experience in at least three of the following domains:
• Cloud
• Analytics
• Data Management
• Infrastructure
• Security
• Applications
• Software Engineering
• Networking
• Systems Integration
• Experience with wireless communications, network security, voice, and data networking systems.

• Experience working in the Texas state public sector or other regulated environments.
• Demonstrated experience with AI/ML services, such as:
• Azure Machine Learning
• Azure Cognitive Services
• AWS SageMaker
• Google Vertex AI
• Proficiency in Python, C#, or Java.

• Design and implement AI/ML models using Google Cloud services such as Vertex AI, BigQuery ML, AI Platform, and AutoML.
• Develop and deploy scalable machine learning models using TensorFlow, PyTorch, and other AI frameworks.
• Build and optimize data pipelines using Cloud Dataflow, Cloud Pub/Sub, and Cloud Storage to support AI/ML workflows.
• Ensure AI solutions are efficient, scalable, and reliable in a production environment.

• Design and implement machine learning training pipelines on GCP.
• Optimize model performance through hyperparameter tuning and algorithm selection.
• Monitor model accuracy and retrain models as needed to maintain performance.

• Work with structured and unstructured data to create datasets for training and evaluation.
• Automate data ingestion and preprocessing using tools like BigQuery and Dataflow.
• Ensure data quality and integrity for AI/ML workflows.

• Implement CI/CD pipelines for AI/ML models using Cloud Build and Vertex AI Pipelines.
• Deploy machine learning models using Vertex AI Endpoints and monitor performance in real-time.
• Ensure model governance, versioning, and auditing processes are followed.

• Collaborate with business stakeholders to identify AI opportunities and translate them into technical solutions.
• Evaluate new AI and ML technologies on GCP to improve existing solutions.
• Provide technical guidance and thought leadership on AI best practices.

• Ensure AI solutions comply with company security policies and industry regulations.
• Implement access controls, data encryption, and secure APIs.

• Bachelor's degree in Computer Science, Artificial Intelligence, Machine Learning, Data Science, or a related field; Master's or Ph.D. is a plus.
• 3+ years of experience designing and implementing AI/ML solutions on Google Cloud Platform.
• Google Professional Machine Learning Engineer certification is required.
• Strong proficiency with GCP services such as Vertex AI, BigQuery, Cloud Dataflow, AI Platform, and AutoML.
• Hands-on experience with machine learning frameworks like TensorFlow, Keras, and PyTorch.
• Proficiency in programming languages such as Python, Java, or Go.
• Experience with MLOps and CI/CD tools, including Cloud Build and Vertex AI Pipelines.
• Strong understanding of AI/ML algorithms, data structures, and model optimization techniques.
• Experience with containerization (Docker, Kubernetes) and orchestration using Google Kubernetes Engine (GKE).
• Strong analytical, problem-solving, and communication skills.

• Experience with natural language processing (NLP) and computer vision solutions.
• Experience with automated feature engineering and model interpretability.
• Familiarity with data lake and data warehouse architectures on GCP.
• Strong understanding of cloud security and access controls.

• Competitive salary and performance-based incentives.
• Comprehensive health, dental, and vision coverage.
• 401(k) with company matching.
• Professional development and training opportunities (including GCP certification).
• Flexible work environment and remote work options.

Atmosera empowers businesses to redefine what's possible with modern technology and human expertise. Our exceptional experience across Applications, Data & AI, DevOps, Security, and the Microsoft Azure platform enables organizations to accelerate innovation, enhance security, and optimize operational agility. As a Microsoft Partner with nine specializations, GitHub AI Partner of the Year, a member of the GitHub Advisory Board, and a member of the prestigious Microsoft Intelligent Security Association (MISA), Atmosera expertly delivers cutting-edge, integrated solutions that deliver business value.

Please note that this is a talent pipeline posting. Responses to applications may be delayed until there is an active need. Thank you!

We are seeking a highly skilled and collaborative Agentic AI Engineer to lead the design, development, and deployment of agentic AI solutions using Microsoft 365 Copilot and Copilot Studio. This role will be instrumental in transforming business workflows through intelligent automation, integrating with enterprise APIs, and delivering measurable business value across multiple use cases.

Key Responsibilities

• Collaborate with business stakeholders to identify, prioritize, and document high-impact agentic AI use cases.
• Design and implement Copilot Studio agents (declarative and custom) that integrate with Microsoft 365 apps (Teams, Outlook, Excel) and enterprise systems.
• Lead technical readiness assessments including API validation, data model alignment, and integration feasibility.
• Develop and deploy pilot agents, including two small and one medium agent, aligned with business workflows and success metrics.
• Ensure secure and compliant agent development by working with InfoSec, Legal, and Risk teams to define guardrails and data access policies.
• Support change management efforts including training, documentation, and knowledge transfer to internal teams.
• Contribute to the creation of reusable development patterns and performance monitoring frameworks for future agent deployments.
• Participate in envisioning sessions, co-development sprints, and stakeholder demos to drive adoption and executive alignment.

• 5+ years of experience in enterprise application development, preferably with Microsoft technologies (Power Platform, Azure, M365).
• Proven experience building and deploying AI agents or bots using Copilot Studio, Power Automate, or similar platforms.
• Strong understanding of API integration, including RESTful services, OAuth2, and enterprise API gateways.
• Familiarity with data governance, sensitivity labeling, and compliance frameworks in Microsoft 365.
• Experience with asynchronous messaging systems (e.g., Kafka, AWS Queues) and internal API frameworks (e.g., C#-based).
• Ability to work cross-functionally with business analysts, developers, and compliance teams.
• Excellent communication skills and experience leading technical workshops or envisioning sessions.

• Experience with Microsoft Fabric, Dataverse, and Power Apps.
• Background in financial services, audits, or data research workflows.
• Familiarity with value stream mapping and ROI measurement techniques.
• Exposure to agent chaining, orchestration, and autonomous agent design.

• Participate in weekly standups and on-demand consultations with business teams.
• Support a 6-12 month roadmap with phased delivery of agentic AI solutions.
• Contribute to post-deployment optimization, performance tracking, and retraining cycles.

1. Strong project experience in Big Data platform with Amazon Web Services and Cloudera Data Platform is must.
2. Strong experience with REST API development using Python frameworks (Django, Flask etc.) is must.
3. Micro Services/Web service development experience using Spring framework is must.
4. 4-5 years of programming experience in AWS, Linux and Data Science notebooks is must.
5. Good project experience in Machine Learning, Big Data, NLP, Deep Learning, RDBMS is must.
6. 4-5 experience building data pipelines using Python, MLLib, PyTorch, TensorFlow, Numpy/Scipy/Pandas, Spark, Hive