AI Infrastructure Engineer IV Job at Autonomous Solutions (Lehi)

AI Infrastructure Engineer IV

At ASI, we are revolutionizing industries with state-of-the-art autonomous robot...

Location

United States , Mendon

Salary:

Not provided

Autonomous Solutions

Expiration Date

Until further notice

Requirements

Bachelor's degree in Computer Science, Computer Engineering, or a related technical field
10+ years of experience in cloud infrastructure, DevOps, or platform engineering with an emphasis on AI/ML systems
Strong understanding of modern AI infrastructure components, including distributed computing, GPU-accelerated systems, and large-scale storage
Hands-on experience with cloud platforms such as AWS, Azure, or Google Cloud
Proficiency with Kubernetes, Docker, Terraform, or similar containerization and orchestration tools
Strong programming skills in Python and/or C++, with experience supporting machine learning frameworks (TensorFlow, PyTorch, etc.)
Experience implementing CI/CD pipelines, MLOps practices, and automation tooling

Job Responsibility

Design, build, and maintain high-performance computing infrastructure including CPUs, GPUs, storage, and networking to support AI and ML workloads
Deploy and manage AI systems within cloud environments (AWS, Azure, GCP), ensuring scalability, cost-efficiency, and high availability
Collaborate with data scientists, ML engineers, and software teams to support AI model development, training, and deployment workflows
Implement automation, CI/CD, DevOps, and MLOps practices to create efficient, repeatable, and reliable AI infrastructure processes
Optimize compute and storage systems to achieve maximum performance and throughput for AI/ML pipelines
Monitor system health and troubleshoot performance bottlenecks, infrastructure issues, and deployment challenges

What we offer

Full Benefits - 90% Medical, ESOP, 401K, Generous PTO

Fulltime

Senior Director of AI Engineering

Coherent Solutions, Incorporated, seeks a Senior Director of AI Engineering in M...

Location

United States , Minneapolis

Salary:

322000.00 USD / Year

Coherent Solutions

Expiration Date

Until further notice

Requirements

Master’s degree in Computer Science, Data Science, Statistics, Computer Engineering, or a closely related technical field
at least 10 years of experience in AI, Machine Learning, Data Science, or Advanced Analytics, including at least 5 years in a technical or executive leadership capacity
10 years of: (i) developing, training, and deploying AI and machine learning models using Python, SQL, Spark, and modern statistical and deep-learning frameworks such as Scikit-learn, TensorFlow, or PyTorch
and (ii) building predictive modeling systems for enterprise use cases, including propensity models for quality and risks
5 years of: (i) architecting and delivering end-to-end AI platforms and production workflows using Azure, AWS, Databricks, and MLOps tooling such as Spark pipelines, MLflow, and CI/CD automation
(ii) applying predictive analytics and/or advanced machine learning techniques (natural language processing and computer vision) to real-world product or enterprise applications
(iii) leading teams of Data Scientists, ML Engineers, and AI practitioners within Agile environments
and (iv) driving AI strategy and governance, including collaboration with executive stakeholders on ROI modeling, product direction, and roadmap
presenting complex AI outcomes to non-technical and C-level audiences, and implementing Responsible AI and data governance frameworks
at least 2 years of experience with GenAI/orchestration frameworks, including LangChain or LangGraph

Job Responsibility

Develop and execute comprehensive go-to-market and engineering strategies for AI, ML, and Generative AI offerings, aligned with corporate objectives set by the CTO
Design and oversee scalable AI architectures and MLOps frameworks using Azure ML, AWS Bedrock/SageMaker, Databricks, MLFlow, LangChain/LangGraph
Lead the development, validation, and deployment of machine learning and statistical models for prediction, personalization, optimization, and risk detection
Apply statistical and causal inference methods - regression, Bayesian inference, and uplift modeling - to measure model performance and business ROI
Direct the creation and maintenance of experimentation and analytics platforms supporting continuous testing, ML lifecycle automation, and reproducibility at enterprise scale
Oversee development of AI accelerators and reusable components in areas such as NLP, Generative AI, Computer Vision, and Agentic AI
Oversee management of data engineering and analytics infrastructure, ensuring data reliability, lineage, and compliance across distributed data pipelines using Python, SQL, and Spark
Lead implementation of Responsible AI frameworks, including bias detection, model explainability, and compliance with ethical and regulatory standards (GDPR, SEC/FINRA)
Partner with Sales, Marketing, and Delivery teams to define AI-driven value propositions and support client acquisition through technical pre-sales engagement and executive presentations
Serve as senior technical advisor to client executives, shaping multi-year AI roadmaps and quantifying business impact

What we offer

health insurance
vision insurance
dental insurance
life insurance
PTO
401k
HSA

Fulltime

AI Simulation Engineer IV

As an AI Simulation Engineer, you will fuse simulation and AI to accelerate trai...

Location

United States , Lehi

Salary:

Not provided

Autonomous Solutions

Expiration Date

Until further notice

Requirements

Experience in AI, robotics, simulation engineering, or machine learning model development
Strong understanding of simulation environments, synthetic data workflows, scenario generation, or virtual testing systems
Experience integrating AI models into simulation frameworks for training, validation, or performance testing
Proficiency in Python, C++, or similar languages used for simulation tools and AI development
Experience working with robotics concepts such as perception, planning, control, or vehicle dynamics
Ability to analyze real world data and convert it into simulated scenarios that expose edge cases and system weaknesses
Experience with cloud simulation infrastructure, distributed compute, or GPU accelerated workloads
Strong problem solving and analytical abilities, with the skill to bridge real world system behavior and simulated environments
Ability to collaborate effectively with cross functional engineering teams and communicate technical concepts clearly

Job Responsibility

Fuse simulation and AI to accelerate training, validation, and edge case discovery for safe autonomous deployment
Build closed loop systems where on-field data improves simulation, and simulation sharpens real world performance
Develop simulation driven workflows that generate diverse scenarios, edge cases, and long tail events to improve AI robustness
Integrate perception, planning, control, and vehicle dynamics models into high fidelity simulation environments
Create automated validation pipelines that use simulation to stress test autonomy performance across environments, weather, terrain, and failure modes
Use generative models or data augmentation techniques to expand scenario coverage and reduce reliance on costly on-field testing
Enhance simulation fidelity by incorporating real world telemetry, sensor data, logs, and environmental conditions
Develop tools that measure model performance, regression trends, safety margins, and reliability metrics within simulated environments
Collaborate with autonomy, robotics, data, and test teams to ensure simulation tools and AI workflows reflect real world behavior and operational constraints
Optimize simulation infrastructure for speed, scalability, and throughput across local, cloud, and distributed compute

What we offer

Full Benefits - 90% Medical, ESOP, 401K, Generous PTO

Fulltime

AI Development Manager IV

At ASI, we are revolutionizing industries with state-of-the-art autonomous robot...

Location

United States , Mendon

Salary:

Not provided

Autonomous Solutions

Expiration Date

Until further notice

Requirements

10+ years of experience supporting highly technical teams such as AI research, machine learning, robotics, or advanced engineering
Bachelor's degree in Software Engineering, Computer Science, Artificial Intelligence, or related technical field
Strong understanding of Agile principles and hands on experience adapting them to R&D or research-centric environments
Ability to translate complex technical work into clear plans without restricting exploration or scientific creativity
Exceptional facilitation, communication, and organizational skills suited for high complexity technical teams
Proven ability to remove blockers, manage dependencies, and drive alignment across multiple technical partners
Experience maintaining visibility, workflows, and structured documentation for complex or extended technical projects
Comfort navigating ambiguous problem spaces where priorities shift quickly based on research results and emerging insights
A service-oriented mindset focused on clarity, operational excellence, and enabling teams to do their best work

Job Responsibility

Lead a team of AI developers, ML engineers, and software engineers through technical guidance, mentorship, and structured execution
Contribute directly to development efforts by designing, implementing, reviewing, and optimizing AI related software systems
Establish technical direction and architectural decisions for model pipelines, distributed training systems, deployment frameworks, and supporting infrastructure
Balance hands on development with managerial responsibilities including planning, prioritization, performance feedback, and team health
Coordinate cross functional work among research, infrastructure, robotics, and product teams to ensure alignment and smooth integration of AI capabilities
Create and maintain clear plans, roadmaps, and execution structures that enable predictable delivery without restricting innovation or exploration
Ensure the engineering team follows best practices in code quality, testing, documentation, version control, and reliability
Support the development and scaling of model training workflows, data pipelines, inference systems, and real time or embedded AI components
Monitor project progress, remove blockers, and drive continuous improvement across tools, development processes, and team workflows
Recruit, onboard, and develop top engineering talent with a focus on growth, capability building, and long-term team scalability

What we offer

Full Benefits - 90% Medical, ESOP, 401K, Generous PTO

Fulltime

AI Development Manager IV

At ASI, we are revolutionizing industries with state-of-the-art autonomous robot...

Location

United States , Lehi

Salary:

Not provided

Autonomous Solutions

Expiration Date

Until further notice

Requirements

10+ years of experience supporting highly technical teams such as AI research, machine learning, robotics, or advanced engineering
Bachelor's degree in Software Engineering, Computer Science, Artificial Intelligence, or related technical field
Strong understanding of Agile principles and hands on experience adapting them to R&D or research-centric environments
Ability to translate complex technical work into clear plans without restricting exploration or scientific creativity
Exceptional facilitation, communication, and organizational skills suited for high complexity technical teams
Proven ability to remove blockers, manage dependencies, and drive alignment across multiple technical partners
Experience maintaining visibility, workflows, and structured documentation for complex or extended technical projects
Comfort navigating ambiguous problem spaces where priorities shift quickly based on research results and emerging insights
A service-oriented mindset focused on clarity, operational excellence, and enabling teams to do their best work

Job Responsibility

Lead a team of AI developers, ML engineers, and software engineers through technical guidance, mentorship, and structured execution
Contribute directly to development efforts by designing, implementing, reviewing, and optimizing AI related software systems
Establish technical direction and architectural decisions for model pipelines, distributed training systems, deployment frameworks, and supporting infrastructure
Balance hands on development with managerial responsibilities including planning, prioritization, performance feedback, and team health
Coordinate cross functional work among research, infrastructure, robotics, and product teams to ensure alignment and smooth integration of AI capabilities
Create and maintain clear plans, roadmaps, and execution structures that enable predictable delivery without restricting innovation or exploration
Ensure the engineering team follows best practices in code quality, testing, documentation, version control, and reliability
Support the development and scaling of model training workflows, data pipelines, inference systems, and real time or embedded AI components
Monitor project progress, remove blockers, and drive continuous improvement across tools, development processes, and team workflows
Recruit, onboard, and develop top engineering talent with a focus on growth, capability building, and long-term team scalability

What we offer

Full Benefits - 90% Medical, ESOP, 401K, Generous PTO

Fulltime

GenAI Engineer IV – Generative AI

Join our Innovation Analytics & AI team as a GenAI Engineer IV, where you’ll sha...

Location

United States , Johnston, Rhode Island

Salary:

117280.00 - 168600.00 USD / Year

FM

Expiration Date

Until further notice

Requirements

4-Year / bachelor’s degree, preferably in Computer Science, Data Science, Artificial Intelligence, or equivalent experience
8+ years in AI engineering with deep expertise in GenAI and cloud architectures
Advanced skills in Python, .NET, C#, and tools like LangChain, Hugging Face
Strong knowledge of LLMs, multi-modal models, and CI/CD automation
Proven leadership in AI strategy, mentoring, and enterprise-scale delivery
Expert-level proficiency in Python, .NET, and C# programming for AI applications
Advanced expertise with GenAI tools (Promptflow, Azure AI Search, Semantic Search, Hybrid Search, Document Intelligence, Skillsets, Generative RAG Search, Vector DBs, Azure OAI, AI Hub, Agents, Assistants, LangChain, Hugging Face, Llama Index, Semantic Kernel)
Deep knowledge of leading LLMs (OpenAI, Gemini, Llama2, GPT-4) and multi-modal models
Experience with cloud-native architectures, Kubernetes, Terraform, and API development
Strong understanding of CI/CD pipelines, automated testing, and test automation strategies

Job Responsibility

Lead the strategy, design, architecture, and implementation of scalable Generative AI solutions using LLMs (e.g., OpenAI, Gemini, Llama2, GPT-4), multi-modal models, and open-source frameworks within Azure Microsoft Infrastructure
Develop robust data integration pipelines and RAG workflows using tools like Promptflow, Azure AI Search, Semantic Search, Hybrid Search, Document Intelligence, Skillsets, Generative RAG Search, Vector DBs, Azure OAI, AI Hub, Agents, Assistants, LangChain, Hugging Face, Llama Index, and Semantic Kernel
Design and implement robust test automation strategies within CI/CD pipelines, define observability metrics using Azure Application Insights and Dynatrace, and support production deployments with detailed documentation and risk mitigation
Collaborate with Solution Architects to ensure successful delivery of enterprise initiatives such as application security, API development, architecture, and test automation
Act as a subject matter expert in tools and technologies, lead internal learning forums, set strategic objectives, and drive the adoption of innovative methods

What we offer

incentive plan
generous health and well-being programs
a 401(k) and pension plan
career development opportunities
tuition reimbursement
flexible work
paid time off allowances

Fulltime

Database Administrator IV

The Database Administrator (DBA) IV will design, implement, and manage secure, r...

Location

United States , Irvine

Salary:

118000.00 - 150000.00 USD / Year

Planet DDS

Expiration Date

Until further notice

Requirements

8+ years of experience in database administration or a related role
Proficiency in T-SQL and PL/pgSQL for writing queries, stored procedures, functions, and triggers
Experience with cloud technologies (Azure required, AWS preferred)
Proven expertise in production monitoring, troubleshooting, and optimization
Proven experience and track record in managing and resolving database incidents
Strong experience with SQL Server Iaas, Azure SQL databases and PostgreSQL in large-scale environments
Experience with PowerShell scripting to automate database and infrastructure tasks
Skilled in Azure DevOps and SSDT Database projects
Track record of using AI-powered data management tools
Hands-on experience with the full software development lifecycle

Job Responsibility

Write efficient SQL queries, stored procedures, functions, and triggers
Ensure SQL queries are optimized and scalable in production environments
Develop ETL processes using Azure ADF and other tools to automate routine tasks and administrative workflows
Create automation scripts for building and managing non-prod and prod environments in Azure
Bring technical leadership and AI tools and capabilities advocacy to an engineering team
Maintain accurate indexing, archiving, reporting, and automation
Troubleshoot complex database related issues while ensuring integrity and availability
Leads production support and manage incidents while ensuring SLAs
Enforce SQL coding standards and best practices across the DBA team
Ensure CI/CD pipelines are reliable and fully functional in all environments, including Azure and manage database development life cycle

What we offer

Medical, dental and vision insurance
Health Savings Account
Flexible Spending Accounts
Telehealth
401(k) and 401(k) match
Life and AD&D insurance
Short-Term and Long-Term Disability
FTO or Vacation
Sick Time
Employee Well-Being program

Fulltime

Data Center Development Manager

Meta designs, builds, leases and operates the most innovative and efficient data...

Location

United States , New York, NY +1 location

Salary:

170000.00 - 238000.00 USD / Year

AI Infrastructure Engineer IV

Autonomous Solutions

Location:
United States , Lehi

Category:
IT - Software Development

Contract Type:
Not provided

Salary:

Job Description:

Job Responsibility:

Requirements:

Additional Information:

Job Posted:
January 09, 2026

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Contract Type:Not provided

Salary:

Job Description:

Job Responsibility:

Requirements:

Additional Information:

Job Posted:January 09, 2026

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United States , Lehi

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Contract Type:
Not provided

Job Posted:
January 09, 2026