LEAD COMPUTER SCIENTIST - LEAD ENGINEER - SR. COMPUTER SCIENTIST - Medical AI Software Engineering at Swri Structural Geology & Geomechanics in San Antonio, TX | Kablio

Role

Description

ai architecture

ci/cd

ml ops

model deployment

monitoring

scalable architecture

Lead architecture and design for complex, large-scale medical AI software systems and platforms for SwRI clients.
Establish development best practices, including CI/CD, code quality standards, and security compliance. Stay current with emerging AI technologies and evaluate integration into existing platforms.
Identify and architect opportunities to extend our automation and AI solutions into new industries and applications.
Work closely with engineers, researchers, and external partners to shape solutions that are flexible, modular, and adaptable to diverse applications.
Define and oversee system and software architecture for advanced AI-enabled platforms, ensuring scalability, security, and compliance with medical and government standards.
Provide technical leadership across multiple concurrent projects, ensuring quality, performance, and maintainability. Implement robust monitoring and alerting mechanisms to ensure the reliability and performance of deployed ML models.
Collaborate with clients and stakeholders to shape requirements into technical roadmaps and proposals. Develop and maintain infrastructure for CI/CD pipelines tailored for machine learning model versions, experimenting with new frameworks and tools to optimize operations.
Design and implement scalable, reliable, and efficient systems by integrating advanced system engineering and ML Ops practices.
Mentor engineering and research staff, raising the technical bar across projects.
Foster innovation by integrating cutting-edge ML Ops techniques into the overall system architecture, ensuring seamless model deployment and monitoring.
Drive technical strategy for the application of modern and traditional machine learning algorithms in decision support systems.
Partner with researchers and engineers to guide implementation of ML/AI software solutions and ensure alignment with system-level requirements.

Requirements

python

docker

kubernetes

ml ops

cloud-native

phd

Deep expertise in software architecture for distributed systems, AI/ML platforms, and cloud-native environments. Strong proficiency in Python and modern development practices (Git, CI/CD, Agile). Strong foundation in systems engineering principles, with the ability to design an
Experience with SQL/NoSQL databases, containerization (Docker, Kubernetes), and microservices architecture. Experience architecting systems with regulatory and security constraints (HIPAA, DoDI 8500.1, FedRAMP).
8+ years: Proven experience in ML Ops, including model deployment, CI/CD pipelines, model versioning, monitoring, and lifecycle management.
3 years: Experience in a technical leadership or software architecture role.
Requires a Bachelors, Masters or a PhD in Computer Science, Data Science, Software Engineering, Data Engineering, Computer Engineering or Electrical Engineering.
Familiarity with modern front-end frameworks (React.js, Flutter) and decision-support tool development. Demonstrated ability to lead teams, mentor engineers, and engage directly with clients at executive and technical levels.
A valid/clear driver's license is required.

Benefits

Information not given or found

Training + Development

Information not given or found

Interview process

Information not given or found

Visa Sponsorship

Information not given or found

Security clearance

subject to a government security investigation and must meet eligibility for classified information access.

Company

Overview

With decades of experience, SWRI Structural Geology & Geomechanics provides innovative solutions for geotechnical challenges.
Their team works on large-scale projects across energy, infrastructure, and natural resources, applying cutting-edge techniques.
Their deep expertise spans from geomechanical analysis to structural geological modeling, offering both research and consultancy.
The company is known for its high-impact projects in complex geological environments, such as oilfields and mining sites.
One standout project involved evaluating the impact of subsurface pressures on energy extraction, providing vital data to optimize efficiency.
They specialize in risk analysis and ground stability assessments, ensuring safety in critical infrastructure projects.

Culture + Values

Field investigations of mechanical stratigraphy and natural deformation in sedimentary strata.
2D and 3D geometric and kinematic modeling, balancing, and restoration with seismic interpretation.
Physical analog modeling of geologic structures using dynamic structured light for digital terrain analyses.
Stress analysis using 3DStress® for fault and fracture tendencies.
2D and 3D geomechanical modeling for subsurface stress prediction and hydraulic fracturing simulation.
Field and classroom training for reservoir characterization and performance insights.

Environment + Sustainability

4 MW Electricity

Supercritical CO2 Plant

Generating power using supercritical CO2 technology to reduce environmental impact.

27,000 RPM

Turbine Speed

Achieved full design speed, demonstrating advanced turbine capabilities.

2.3 T Hydrogen

Clean Hydrogen Production

Continuously producing clean hydrogen for thousands of hours.

2023 Vehicle Completion

Zero Emission Engine

Targeting zero or near-zero emissions in heavy-duty vehicles.

Developing gas-turbine combustion systems using low- and zero-carbon fuels (hydrogen, propane, renewable diesel)
Building a high-temperature tubular membrane CO₂ separator for industrial carbon capture
Developing advanced chemical recycling facility for post-consumer plastics via pyrolysis and catalysis, booked through end-2025
Developed methane burner (99.5% destruction) reducing greenhouse gas leaks under ARPA-E’s REMEDY program
Project Z: techno-economic modeling toward onsite zero-carbon electricity generation and roadmap for net-zero power

Inclusion & Diversity

No publicly stated DEI strategy or gender-related statistics found for SwRI Structural Geology & Geomechanics on provided sources.

Articles

SWRI Geological Services Overview

LinkedIn - SWRI Structural Geology & Geomechanics

Role

Description

ai architecture

ci/cd

ml ops

model deployment

monitoring

scalable architecture

Lead architecture and design for complex, large-scale medical AI software systems and platforms for SwRI clients.
Establish development best practices, including CI/CD, code quality standards, and security compliance. Stay current with emerging AI technologies and evaluate integration into existing platforms.
Identify and architect opportunities to extend our automation and AI solutions into new industries and applications.
Work closely with engineers, researchers, and external partners to shape solutions that are flexible, modular, and adaptable to diverse applications.
Define and oversee system and software architecture for advanced AI-enabled platforms, ensuring scalability, security, and compliance with medical and government standards.
Provide technical leadership across multiple concurrent projects, ensuring quality, performance, and maintainability. Implement robust monitoring and alerting mechanisms to ensure the reliability and performance of deployed ML models.
Collaborate with clients and stakeholders to shape requirements into technical roadmaps and proposals. Develop and maintain infrastructure for CI/CD pipelines tailored for machine learning model versions, experimenting with new frameworks and tools to optimize operations.
Design and implement scalable, reliable, and efficient systems by integrating advanced system engineering and ML Ops practices.
Mentor engineering and research staff, raising the technical bar across projects.
Foster innovation by integrating cutting-edge ML Ops techniques into the overall system architecture, ensuring seamless model deployment and monitoring.
Drive technical strategy for the application of modern and traditional machine learning algorithms in decision support systems.
Partner with researchers and engineers to guide implementation of ML/AI software solutions and ensure alignment with system-level requirements.

Requirements

python

docker

kubernetes

ml ops

cloud-native

phd

Deep expertise in software architecture for distributed systems, AI/ML platforms, and cloud-native environments. Strong proficiency in Python and modern development practices (Git, CI/CD, Agile). Strong foundation in systems engineering principles, with the ability to design an
Experience with SQL/NoSQL databases, containerization (Docker, Kubernetes), and microservices architecture. Experience architecting systems with regulatory and security constraints (HIPAA, DoDI 8500.1, FedRAMP).
8+ years: Proven experience in ML Ops, including model deployment, CI/CD pipelines, model versioning, monitoring, and lifecycle management.
3 years: Experience in a technical leadership or software architecture role.
Requires a Bachelors, Masters or a PhD in Computer Science, Data Science, Software Engineering, Data Engineering, Computer Engineering or Electrical Engineering.
Familiarity with modern front-end frameworks (React.js, Flutter) and decision-support tool development. Demonstrated ability to lead teams, mentor engineers, and engage directly with clients at executive and technical levels.
A valid/clear driver's license is required.

Benefits

Information not given or found

Training + Development

Information not given or found

Interview process

Information not given or found

Visa Sponsorship

Information not given or found

Security clearance

subject to a government security investigation and must meet eligibility for classified information access.

Company

Overview

With decades of experience, SWRI Structural Geology & Geomechanics provides innovative solutions for geotechnical challenges.
Their team works on large-scale projects across energy, infrastructure, and natural resources, applying cutting-edge techniques.
Their deep expertise spans from geomechanical analysis to structural geological modeling, offering both research and consultancy.
The company is known for its high-impact projects in complex geological environments, such as oilfields and mining sites.
One standout project involved evaluating the impact of subsurface pressures on energy extraction, providing vital data to optimize efficiency.
They specialize in risk analysis and ground stability assessments, ensuring safety in critical infrastructure projects.

Culture + Values

Field investigations of mechanical stratigraphy and natural deformation in sedimentary strata.
2D and 3D geometric and kinematic modeling, balancing, and restoration with seismic interpretation.
Physical analog modeling of geologic structures using dynamic structured light for digital terrain analyses.
Stress analysis using 3DStress® for fault and fracture tendencies.
2D and 3D geomechanical modeling for subsurface stress prediction and hydraulic fracturing simulation.
Field and classroom training for reservoir characterization and performance insights.

Environment + Sustainability

4 MW Electricity

Supercritical CO2 Plant

Generating power using supercritical CO2 technology to reduce environmental impact.

27,000 RPM

Turbine Speed

Achieved full design speed, demonstrating advanced turbine capabilities.

2.3 T Hydrogen

Clean Hydrogen Production

Continuously producing clean hydrogen for thousands of hours.

2023 Vehicle Completion

Zero Emission Engine

Targeting zero or near-zero emissions in heavy-duty vehicles.

Developing gas-turbine combustion systems using low- and zero-carbon fuels (hydrogen, propane, renewable diesel)
Building a high-temperature tubular membrane CO₂ separator for industrial carbon capture
Developing advanced chemical recycling facility for post-consumer plastics via pyrolysis and catalysis, booked through end-2025
Developed methane burner (99.5% destruction) reducing greenhouse gas leaks under ARPA-E’s REMEDY program
Project Z: techno-economic modeling toward onsite zero-carbon electricity generation and roadmap for net-zero power

Inclusion & Diversity

No publicly stated DEI strategy or gender-related statistics found for SwRI Structural Geology & Geomechanics on provided sources.

Articles

SWRI Geological Services Overview

LinkedIn - SWRI Structural Geology & Geomechanics