Artificial Intelligence Architect - Public Trust or Higher Security Clearance
Artificial Intelligence Architect
6-12 Month contract-to-hire
It’s 40 hours a week and 100% remote
We can only hire candidates that do not require sponsorship now or in the future. We can pay candidates
Basic Qualifications
• MINIMUM requirements to be considered for the position is a BS degree and 12 – 15 years of prior relevant experience or a master’s degree with less than 10 - 13 years of prior relevant experience.
• Must be able to obtain and maintain a Public Trust or higher security Clearance.
• Must have expert knowledge of AI Technologies.
• Expert knowledge of data management and governance.
• Strong experience with Microsoft Azure AI services (e.g., Azure Machine Learning, Cognitive Services) and AWS AI services (e.g., SageMaker, Rekognition, Lex).
• Strong programming skills in Python, R, and familiarity with AI frameworks such as TensorFlow, PyTorch, or similar.
• Strong experience with data engineering, including ETL processes and data pipeline construction.
• Strong excellent problem-solving skills and the ability to work in a fast-paced environment.
• Strong communication and interpersonal skills, with the ability to collaborate effectively across teams.
Preferred Qualifications
· Strong Machine learning models and natural language processing experience.
· Strong experience with DevOps practices and tools for continuous integration and deployment (CI/CD).
· Strong experience with AI infrastructure, application deployment, and operations.
· Strong knowledge of containerization technologies such as Docker and Kubernetes.
· Strong experience with big data technologies (e.g., Hadoop, Spark) and their applications in AI.
· Experience with tools like Kubernetes and Git.
· Experience with analytics and programming tools, including Python and R.
· Experience with data system design and deployment.
· Previous experience working in an agile scrum environment.
· Previous experience employing DevOps methodologies.
· Strong leadership experience and willingness to embrace change.
· Experience with change control principals and ticket with Service Now (SNOW).
· Understanding of agency Capstone and NARA data retention compliance principles.
· Experience with design, planning and implementation in environments with 10,000+ users.
· Certifications in Microsoft Azure and/or AWS are highly desirable.
Primary Responsibilities
The successful candidate under the direction of the Development and Engineering Lead, Product Manager, Program Manager and Deputy Program Manager will work within an Agile ITIL environment with a large focus on DevOps. The candidate will be a member of the Development Team providing Subject Matter Expert support for AI Platforms. You’ll play a pivotal role in designing, developing, and delivering cutting-edge software solutions that drive innovation and enhance the user experience across a wide range of Microsoft, AWS, and other services. Independently develop solutions, approaches, or make recommendations to resolve a wide range of complex or difficult problems for both internal/external customers including vendors. These processes and production requirements often require a flexible work schedule. The Candidate may need to give presentations from time to time and often this entails producing well written technical documents specific to the customer's environment and objectives. The candidate will participate in scrum sprint activities as needed for AI related solutions. Candidate must be able to speak clearly and communicate effectively (both written and verbally) with a customer's technical staff as well as Senior Management. Additional responsibilities will include but not limited to:
• Design and implement artificial intelligence (AI) infrastructure within the customer environment.
• Support the development, deployment and execution of AI services.
• Envision, build, deploy, and operationalize AI and machine learning (ML) pipelines.
• Develop AI strategic roadmaps that align with the customer goals and objectives.
• Collaborate with stakeholders to capture business requirements and improve how AI technology is integrated into the customer business processes to drive innovation and transform business processes.
• Ensuring solutions are scalable, secure, and aligned with business objectives.
• Defining data models and overall, AI solution architecture.
• Lead customer workshops to identify pain points and design effective AI solutions.
• Work with other IT team members, including data scientists and leaders, to support digital transformation.
• Develop new AI-related applications and manage programmers.
• Collaborate with security professionals to manage potential risks and implement AI technologies, applications, and infrastructure in keeping with ethical policies.
• Provide technical guidance to junior engineers and project teams.
• Architect scalable, secure, and maintainable solutions.
• Stay up to date with the latest AI technologies and best practices.
• Work closely with other teams to ensure seamless integration and alignment.
• Champion a collaborative culture, sharing knowledge and fostering innovation.
• Optimize performance, scalability, and reliability.
• Assist in the development of concise and accurate engineering documentation on current and proposed cloud environments including Visio Diagrams, As-Built documents, recommendations for solutions, run books, knowledge guides, and other operations guides.
• Work with little or no supervision, provide guidance to the team when necessary, and be able to adapt to changing requirements.
• Participate as required with Agile Scrum sprints and other Agile ceremonies.
• Stay abreast of current and emerging technologies, regularly analyzing and evaluating their impact and benefit to the customer by providing recommendations to management
Artificial Intelligence Architect
6-12 Month contract-to-hire
It’s 40 hours a week and 100% remote
We can only hire candidates that do not require sponsorship now or in the future. We can pay candidates
Basic Qualifications
• MINIMUM requirements to be considered for the position is a BS degree and 12 – 15 years of prior relevant experience or a master’s degree with less than 10 - 13 years of prior relevant experience.
• Must be able to obtain and maintain a Public Trust or higher security Clearance.
• Must have expert knowledge of AI Technologies.
• Expert knowledge of data management and governance.
• Strong experience with Microsoft Azure AI services (e.g., Azure Machine Learning, Cognitive Services) and AWS AI services (e.g., SageMaker, Rekognition, Lex).
• Strong programming skills in Python, R, and familiarity with AI frameworks such as TensorFlow, PyTorch, or similar.
• Strong experience with data engineering, including ETL processes and data pipeline construction.
• Strong excellent problem-solving skills and the ability to work in a fast-paced environment.
• Strong communication and interpersonal skills, with the ability to collaborate effectively across teams.
Preferred Qualifications
· Strong Machine learning models and natural language processing experience.
· Strong experience with DevOps practices and tools for continuous integration and deployment (CI/CD).
· Strong experience with AI infrastructure, application deployment, and operations.
· Strong knowledge of containerization technologies such as Docker and Kubernetes.
· Strong experience with big data technologies (e.g., Hadoop, Spark) and their applications in AI.
· Experience with tools like Kubernetes and Git.
· Experience with analytics and programming tools, including Python and R.
· Experience with data system design and deployment.
· Previous experience working in an agile scrum environment.
· Previous experience employing DevOps methodologies.
· Strong leadership experience and willingness to embrace change.
· Experience with change control principals and ticket with Service Now (SNOW).
· Understanding of agency Capstone and NARA data retention compliance principles.
· Experience with design, planning and implementation in environments with 10,000+ users.
· Certifications in Microsoft Azure and/or AWS are highly desirable.
Primary Responsibilities
The successful candidate under the direction of the Development and Engineering Lead, Product Manager, Program Manager and Deputy Program Manager will work within an Agile ITIL environment with a large focus on DevOps. The candidate will be a member of the Development Team providing Subject Matter Expert support for AI Platforms. You’ll play a pivotal role in designing, developing, and delivering cutting-edge software solutions that drive innovation and enhance the user experience across a wide range of Microsoft, AWS, and other services. Independently develop solutions, approaches, or make recommendations to resolve a wide range of complex or difficult problems for both internal/external customers including vendors. These processes and production requirements often require a flexible work schedule. The Candidate may need to give presentations from time to time and often this entails producing well written technical documents specific to the customer's environment and objectives. The candidate will participate in scrum sprint activities as needed for AI related solutions. Candidate must be able to speak clearly and communicate effectively (both written and verbally) with a customer's technical staff as well as Senior Management. Additional responsibilities will include but not limited to:
• Design and implement artificial intelligence (AI) infrastructure within the customer environment.
• Support the development, deployment and execution of AI services.
• Envision, build, deploy, and operationalize AI and machine learning (ML) pipelines.
• Develop AI strategic roadmaps that align with the customer goals and objectives.
• Collaborate with stakeholders to capture business requirements and improve how AI technology is integrated into the customer business processes to drive innovation and transform business processes.
• Ensuring solutions are scalable, secure, and aligned with business objectives.
• Defining data models and overall, AI solution architecture.
• Lead customer workshops to identify pain points and design effective AI solutions.
• Work with other IT team members, including data scientists and leaders, to support digital transformation.
• Develop new AI-related applications and manage programmers.
• Collaborate with security professionals to manage potential risks and implement AI technologies, applications, and infrastructure in keeping with ethical policies.
• Provide technical guidance to junior engineers and project teams.
• Architect scalable, secure, and maintainable solutions.
• Stay up to date with the latest AI technologies and best practices.
• Work closely with other teams to ensure seamless integration and alignment.
• Champion a collaborative culture, sharing knowledge and fostering innovation.
• Optimize performance, scalability, and reliability.
• Assist in the development of concise and accurate engineering documentation on current and proposed cloud environments including Visio Diagrams, As-Built documents, recommendations for solutions, run books, knowledge guides, and other operations guides.
• Work with little or no supervision, provide guidance to the team when necessary, and be able to adapt to changing requirements.
• Participate as required with Agile Scrum sprints and other Agile ceremonies.
• Stay abreast of current and emerging technologies, regularly analyzing and evaluating their impact and benefit to the customer by providing recommendations to management
