Job Description: As a Senior AI Engineer you will lead the design development and delivery of intelligent scalable solutions within a complex enterprise environment. You will work closely with engineering teams architects and business stakeholders to build distributed platforms leveraging AI-driven development practices and cloud technologies. This role requires strong technical leadership hands-on development expertise and the ability to drive innovation while ensuring alignment with strategic technology objectives operational excellence and high system reliability.
Key Responsibilities:
Lead the design and development of AI-driven distributed systems and enterprise platforms
Facilitate technical discussions and drive solution alignment with business and architectural goals
Provide hands-on technical leadership and mentorship to engineering teams
Build and deploy scalable applications using cloud platforms and AI-led development practices
Collaborate with cross-functional teams including business technology and operations partners
Identify technical risks and establish mitigation strategies early in the development lifecycle
Drive process improvements to enhance delivery speed quality and system performance
Develop and maintain full-stack applications using modern frameworks and technologies
Integrate APIs and services using SOAP and REST architectures
Monitor system performance using telemetry and operational metrics to ensure reliability
Support and maintain mission-critical applications across multiple environments
Contribute to Agile development processes including planning execution and release management
Required Skills Experiences Education and Competencies:
Bachelors degree in Computer Science Information Technology or a related field
6 years of experience in software development on large-scale enterprise systems
6 years of experience working with distributed systems and cloud platforms
Strong proficiency Framework C# Core for full-stack development
Experience with front-end technologies such as Angular TypeScript RXJS and PrimeNG
Extensive experience with cloud platforms such as Google Cloud Platform and Pivotal Cloud Foundry
Hands-on experience with AI tools agentic AI frameworks and AI-led development lifecycle (AI-DLC)
Experience integrating services using SOAP and REST APIs
Strong knowledge of databases such as Aerospike SQL Server and PostgreSQL
Experience working with messaging systems such as Kafka and IBM MQ
Familiarity with BPM platforms such as Appian
Strong understanding of Agile methodologies and DevOps practices
Proven ability to manage complex projects with multiple dependencies
Excellent problem-solving analytical and communication skills
Experience mentoring teams and influencing technical decisions at an organizational level
Ability to thrive in fast-paced dynamic environments and handle ambiguity effectively
Experience in financial services domain including trading or brokerage systems (preferred)
Experience with production support and mission-critical system operations (preferred)
The hourly range for roles of this nature are $60.00 to $80.00/hr. Rates are heavily dependent on skills experience location and industry.
cyberThink is an Equal Opportunity Employer.
Job Title: Senior AI Engineer Duration (Contract): 6 Months Client Location: Dallas TX Location Preference: Onsite Job Description: As a Senior AI Engineer you will lead the design development and delivery of intelligent scalable solutions within a complex enterprise environment. You will work cl...
Job Title: Senior AI Engineer
Duration (Contract): 6 Months
Client Location: Dallas TX
Location Preference: Onsite
Job Description: As a Senior AI Engineer you will lead the design development and delivery of intelligent scalable solutions within a complex enterprise environment. You will work closely with engineering teams architects and business stakeholders to build distributed platforms leveraging AI-driven development practices and cloud technologies. This role requires strong technical leadership hands-on development expertise and the ability to drive innovation while ensuring alignment with strategic technology objectives operational excellence and high system reliability.
Key Responsibilities:
Lead the design and development of AI-driven distributed systems and enterprise platforms
Facilitate technical discussions and drive solution alignment with business and architectural goals
Provide hands-on technical leadership and mentorship to engineering teams
Build and deploy scalable applications using cloud platforms and AI-led development practices
Collaborate with cross-functional teams including business technology and operations partners
Identify technical risks and establish mitigation strategies early in the development lifecycle
Drive process improvements to enhance delivery speed quality and system performance
Develop and maintain full-stack applications using modern frameworks and technologies
Integrate APIs and services using SOAP and REST architectures
Monitor system performance using telemetry and operational metrics to ensure reliability
Support and maintain mission-critical applications across multiple environments
Contribute to Agile development processes including planning execution and release management
Required Skills Experiences Education and Competencies:
Bachelors degree in Computer Science Information Technology or a related field
6 years of experience in software development on large-scale enterprise systems
6 years of experience working with distributed systems and cloud platforms
Strong proficiency Framework C# Core for full-stack development
Experience with front-end technologies such as Angular TypeScript RXJS and PrimeNG
Extensive experience with cloud platforms such as Google Cloud Platform and Pivotal Cloud Foundry
Hands-on experience with AI tools agentic AI frameworks and AI-led development lifecycle (AI-DLC)
Experience integrating services using SOAP and REST APIs
Strong knowledge of databases such as Aerospike SQL Server and PostgreSQL
Experience working with messaging systems such as Kafka and IBM MQ
Familiarity with BPM platforms such as Appian
Strong understanding of Agile methodologies and DevOps practices
Proven ability to manage complex projects with multiple dependencies
Excellent problem-solving analytical and communication skills
Experience mentoring teams and influencing technical decisions at an organizational level
Ability to thrive in fast-paced dynamic environments and handle ambiguity effectively
Experience in financial services domain including trading or brokerage systems (preferred)
Experience with production support and mission-critical system operations (preferred)
The hourly range for roles of this nature are $60.00 to $80.00/hr. Rates are heavily dependent on skills experience location and industry.