AI Development Manager IV Job at Autonomous Solutions (Lehi)

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

Project / Program Manager IV

Join a global technology leader headquartered in Milpitas, California, as part o...

Location

United States , Milpitas

Salary:

98.00 - 103.00 USD / Hour

Tucker Parker Smith Group

Expiration Date

Until further notice

Requirements

10 years of Project and/or Program Management experience leading large-scale, cross-functional enterprise initiatives
Proven experience managing Data Platform, AI, Analytics, Cloud, or Enterprise Technology programs
Strong expertise with Jira, including backlog management, reporting, governance, epic/story creation, and Agile delivery practices
Demonstrated experience driving program execution discipline through dependency management, RAID tracking, and governance processes
Experience managing programs across globally distributed teams, including stakeholders in the US, EMEA, and APAC
Exceptional communication and stakeholder management skills, with experience presenting to executive leadership
Ability to operate effectively in fast-paced environments with evolving priorities and ambiguity
Strong organizational skills with the ability to manage multiple priorities simultaneously

Job Responsibility

Drive end-to-end planning and execution across multiple concurrent projects and strategic initiatives
Define and manage program roadmaps, milestones, deliverables, and execution plans
Establish ownership and accountability across cross-functional teams
Identify, manage, and resolve risks, dependencies, blockers, and execution gaps
Lead program governance activities, including RAID management, action tracking, and status reporting
Maintain visibility into overall program health, timelines, and delivery progress
Partner with engineering, data, infrastructure, business, and leadership teams to ensure alignment and execution
Facilitate program reviews, stakeholder meetings, executive updates, and decision-making forums
Drive Jira governance, including backlog management, epic and story structure, sprint alignment, reporting, and delivery tracking
Support prioritization and intake of new initiatives while balancing capacity and business objectives

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

New

Salesforce Development Lead IV

We are looking for an experienced Salesforce Development Lead IV to join a Long-...

Location

United States , Morristown

Salary:

Not provided

Robert Half

Expiration Date

Until further notice

Requirements

Bachelor's degree in Computer Science, Engineering, Information Systems, or a related discipline
At least 7 years of Salesforce leadership experience that combines solution architecture with hands-on development responsibilities
Demonstrated background delivering Salesforce solutions within the financial services industry or another highly regulated environment
Strong expertise with Financial Services Cloud, OmniStudio, Data Cloud, Apex, APIs, and enterprise integration design
Experience defining secure data models, event-based architectures, and technical controls that support compliance and platform governance
Proven ability to lead code reviews, enforce development standards, and guide teams through best practices in design and delivery
Hands-on knowledge of CI/CD pipelines, source control, deployment automation, and environment management for Salesforce applications
Strong communication and stakeholder management skills, with the ability to translate complex requirements into clear technical direction

Job Responsibility

Lead the architecture, development, testing, and deployment of Salesforce solutions across Financial Services Cloud, OmniStudio, Data Cloud, and related platform capabilities
Convert detailed business objectives into scalable technical designs and guide the team through complete solution delivery from concept to production
Design and implement AI-enabled Salesforce capabilities, including Agentforce use cases, workflow automation, and conversational experiences that improve business operations
Establish integration frameworks using APIs and event-driven patterns while shaping data models that support performance, governance, and regulatory expectations
Drive engineering excellence by setting standards for code quality, conducting reviews, and promoting reusable components and sound design practices
Oversee DevOps processes such as source control strategy, automated deployment pipelines, and environment management to improve release reliability
Troubleshoot complex technical issues across development, testing, and production environments, resolving defects that span multiple systems
Provide day-to-day technical leadership, mentor team members, and identify innovation opportunities that expand the value of Salesforce and AI-driven solutions
Apply secure development principles and ensure solutions align with compliance obligations, operational controls, and required training standards within a regulated financial setting

What we offer

medical
vision
dental
life and disability insurance
enrollment in company 401(k) plan

Fulltime

AI Infrastructure Engineer 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

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

AI Systems 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, Engineering, or a related technical field
5+ years of experience in systems engineering, AI engineering, or integrating complex technical systems
Proficiency in programming languages such as Python and Java
Strong understanding of machine learning principles, data modeling, and model deployment workflows
Experience with system integration, cloud technologies, and distributed architectures
Background working with tools like Jama, Jira, Doors, Requisite-Pro, Polarion SVN, and ANSYS
Familiarity with security, monitoring, and lifecycle management of AI powered systems

Job Responsibility

Design system level frameworks that allow AI models to interact seamlessly with software, hardware, and cloud components
Integrate machine learning models into production systems, ensuring performance, reliability, and maintainability
Oversee the lifecycle of AI features including updates, security, monitoring, and scaling across deployments
Collaborate closely with data scientists, robotics engineers, and software developers to deliver cohesive and efficient AI enabled systems
Evaluate system level risks, dependencies, and performance impacts when introducing new AI capabilities
Document system architecture, integration requirements, and operational processes
Ensure ethical considerations such as transparency and accountability are reflected in system design and implementation
Stay current with emerging technologies, industry trends, and best practices in AI systems engineering

What we offer

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

Fulltime

AI Systems Engineer 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

Bachelor's degree in Computer Science, Engineering, or a related technical field
5+ years of experience in systems engineering, AI engineering, or integrating complex technical systems
Proficiency in programming languages such as Python and Java
Strong understanding of machine learning principles, data modeling, and model deployment workflows
Experience with system integration, cloud technologies, and distributed architectures
Background working with tools like Jama, Jira, Doors, Requisite-Pro, Polarion SVN, and ANSYS
Familiarity with security, monitoring, and lifecycle management of AI powered systems

Job Responsibility

Design system level frameworks that allow AI models to interact seamlessly with software, hardware, and cloud components
Integrate machine learning models into production systems, ensuring performance, reliability, and maintainability
Oversee the lifecycle of AI features including updates, security, monitoring, and scaling across deployments
Collaborate closely with data scientists, robotics engineers, and software developers to deliver cohesive and efficient AI enabled systems
Evaluate system level risks, dependencies, and performance impacts when introducing new AI capabilities
Document system architecture, integration requirements, and operational processes
Ensure ethical considerations such as transparency and accountability are reflected in system design and implementation
Stay current with emerging technologies, industry trends, and best practices in AI systems engineering

What we offer

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

Fulltime

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

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