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

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 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

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

New

Svp - product manager, finance data distribution

The Fin Solutions Sr. Lead Analyst is a pivotal leader driving strategic finance...

Location

United States , Tampa

Salary:

141440.00 - 212160.00 USD / Year

Citi

Expiration Date

February 03, 2026

Requirements

Strategic Planning & Execution: Demonstrated ability to define product strategy, develop roadmaps, and drive execution in complex, fast-paced environments, with a focus on delivering AI-enabled data utility tools for financial reconciliation. Strong problem solving skills with an ability to handle ambiguity and uncertainty.
Leadership & Communication: Exceptional written and verbal communication, negotiation, and stakeholder management skills, with proven ability to deliver compelling presentations and engage effectively with C-Suite leaders.
Financial Books & Records Expertise: In-depth knowledge of financial books and records, consolidated ledger reporting, management reporting, RWA, and the intricacies of reconciliation processes between diverse financial systems.
Domain Expertise: Strong understanding of financial control, GL reconciliation, intercompany reconciliation, and consolidated financial reporting within a global financial institution.
Experience: 10+ years of relevant experience, within the financial services industry highly preferred. In depth knowledge of banking products / systems highly preferred
Product Management Tools & Methodologies: Proficiency in project and product management tools (e.g., JIRA, Confluence) and Agile / Lean methodologies.
Strong Data Analytics Skills: Demonstrated ability to perform complex data analysis, identify patterns, quantify differences, and derive actionable insights from large financial datasets (e.g. Python, Alteryx, KNIME, etc.)
Data Utility & AI Technologies: Expertise in designing and implementing advanced data analytics solutions, workflow automation, and integrating AI/ML models for financial data processing, comparison, and reconciliation
Data Governance & Quality: Proven ability to implement and manage data lineage, robust data quality frameworks, and exception resolution processes for Controllers and Finance. Define and enforce product governance covering SLA/ SLO definitions for Financial data.
Education: Bachelors degree, potentially Masters degree

Job Responsibility

Strategic Product Leadership & Vision: Proactively identify and assess market trends, emerging technologies, and regulatory changes impacting financial data distribution. Govern how ledger changes are absorbed, versioned, and communicated to downstream consumers. Translate complex business requirements related to financial ledger data into a clear and actionable product roadmap. Manage risks, issues and dependencies between the transformation program and competing initiatives and programs across the Finance, Risk and Technology landscape Balance modernization velocity with financial control and operational
Financial Data Product Management Expertise: Develop and manage the product lifecycle for data products originating from the financial ledger, including ledger balances and journals. Define and own the product vision and roadmap for outbound financial data products serving: General Ledger (journals & balances) Sub-ledger aggregation Financial close & controls Regulatory and management reporting Capital, liquidity, and risk analytics Ensure data distribution capabilities meet stringent requirements for accuracy, completeness, and timeliness for regulatory and financial reporting. Drive the enhancement of data aggregation, consolidation, and operational reporting functionalities. Translate complex business requirements related to financial ledger reconciliation, workflow optimization, and data analytics into a clear and actionable product roadmap. Ensure all data utility products adhere strictly to financial and regulatory reporting standards and internal compliance frameworks, particularly in demonstrating the integrity of financial books and records through reconciliation.
Stakeholder Engagement & Advocacy: Act as the primary liaison between business stakeholders (finance, regulatory, risk), technology teams (data engineering, IT), and external partners. Champion customer needs and pain points related to financial data consumption, ensuring they are integrated into product development and prioritization. Communicate effectively across all levels regarding product updates, timelines, and strategic direction, particularly concerning critical financial data flows. Present complex data and platform topics in clear, outcome-oriented executive narratives Prepares proposals and executive communication artifacts to influence and drive consensus across Senior Executives as part of the Data distribution mandate
Technical Acumen & Data Distribution Proficiency: Possess a strong understanding of financial data architecture, data modeling, and distribution mechanisms. Guide the implementation of robust data controls, including data lineage, tracing, data quality rules, and exception resolution, specific to financial ledger data. Leverage expertise in data flow technologies (e.g., APIs, data pipelines, ETL/ELT processes) to optimize the delivery of financial data. Explore and integrate advanced data delivery solutions (e.g., real-time streaming, cloud-based data platforms) for scalable financial data distribution.
Compliance & Reporting Focus: Ensure all data distribution products adhere strictly to financial and regulatory reporting standards (e.g., GDPR, CCPA, BASEL, SACCR, IFRS, GAAP) and internal compliance frameworks. Ensure product outputs meet requirements for: IFRS / US GAAP
BCBS 239
Basel III / IV
RWA (Credit, Market, OpRisk)
Liquidity (LCR, NSFR)
Stress Testing (CCAR, ICAAP, ILAAP) Oversee the integration of compliance and audit requirements directly into the product design and delivery process, focusing on transparent and auditable reconciliation outcomes.

What we offer

medical, dental & vision coverage
401(k)
life, accident, and disability insurance
wellness programs
paid time off packages, including planned time off (vacation), unplanned time off (sick leave), and paid holidays
discretionary and formulaic incentive and retention awards

Fulltime

New

Internal audit manager

Our client is a prominent corporation with a reputation for excellence and commi...

Location

Hong Kong , Hong Kong

Salary:

55000.00 - 65000.00 HKD / Month

Randstad

Expiration Date

February 27, 2026

Requirements

Bachelor’s degree in accounting, finance or relevant field
Minimum 5 years of experience in audit with Big 4
Proven track record within a Big 4 accounting firm, specifically at the Manager grade
Professional accounting qualification such as CPA, ACCA, or an equivalent certification.
Strong analytical skills and the ability to interpret complex data to identify underlying business risks.
Excellent communication and stakeholder management abilities, with the confidence to influence senior leadership.
A proactive mindset and the capacity to work independently in a fast-paced, evolving corporate landscape.

Job Responsibility

Develop and execute a comprehensive annual audit plan that addresses key operational and financial risks across the business.
Lead end-to-end internal audit engagements, ensuring all processes comply with both international standards and internal corporate policies.
Evaluate the effectiveness of internal control systems and provide strategic recommendations to senior management to mitigate identified weaknesses.
Prepare detailed audit reports and present findings to the Audit Committee, ensuring transparency and accountability at the executive level.
Collaborate with various business units to foster a culture of compliance and continuous process improvement.
Monitor the implementation of remedial actions to ensure audit observations are addressed in a timely and effective manner.
Keep abreast of regulatory changes and industry trends to ensure the organization remains ahead of potential compliance challenges.

New

UKG People Analytics Consultant

We are looking for an experienced UKG People Analytics Consultant to develop and...

Location

United States , San Diego

Salary:

Not provided

Robert Half

Expiration Date

Until further notice

Requirements

Extensive experience with UKG Pro and HR data systems
Hands-on expertise in building and delivering people analytics solutions
Strong knowledge of HR data flows and security practices
Proficiency in ETL processes and data warehousing techniques
Advanced skills in Power BI for dashboard creation and reporting
Ability to interpret business requirements and translate them into analytics solutions
Experience working with diverse HR systems and integrating data across platforms
Background in scaling analytics functions within dynamic organizational environments

Job Responsibility

Create and implement HR analytics reporting systems, starting from scratch
Manage the end-to-end flow of people data across systems, ensuring seamless integration into data warehouses and reporting tools
Develop and maintain Power BI dashboards that present curated datasets and insights
Collaborate with stakeholders to identify reporting needs for operational HR metrics, workforce planning, and talent acquisition
Standardize and consolidate data from multiple HR systems to ensure consistency and accuracy
Deliver high-quality dashboards and reports tailored for leadership review and strategic decision-making
Uphold HR data governance standards, including security protocols and access controls
Provide expertise to scale analytics capabilities in fast-paced or rapidly growing environments

What we offer

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

AI Development Manager 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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Job Description:

Job Responsibility:

Requirements:

Additional Information:

Job Posted:January 09, 2026

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