Sr. AI Deployment Manager Job at Dialpad (Austin)

Sr. Consultant - Data and AI (Infor M3 and Birst)

We are looking for an experienced and client-focused Senior Consultant with stro...

Location

United States

Salary:

Not provided

Columbus United Kingdom

Expiration Date

Until further notice

Requirements

Bachelor’s or Master’s degree in Computer Science, Information Systems, Data Analytics, or a related field
8+ years of experience in enterprise data and analytics projects, including 3+ years with Infor M3 and Birst
Strong understanding of Infor M3 CloudSuite modules and Birst architecture
Hands-on experience with Birst space design, Automated Data Refinement (ADR), and data blending
Proficient in SQL and data transformation logic involving M3 and external sources
Familiarity with Infor ION, Data Lake, and integration patterns
Excellent communication, client engagement, and documentation skills
Ability to manage multiple clients and projects concurrently with minimal supervision

Job Responsibility

Lead and deliver client-facing engagements centered on M3 Analytics and Birst reporting solutions
Configure, design, develop and customize robust, scalable data models and dashboards using Infor Birst, aligned with M3 Analytics and other data sources to meet client business requirements
Act as the technical lead for analytics projects involving Infor M3 CloudSuite, the Infor Data Lake, and third-party integrations
Build and optimize Birst spaces, data models, dashboards, and reports that support key business processes (e.g., finance, supply chain, manufacturing, inventory)
Leverage and customize prebuilt M3 Analytics content to suit business-specific KPIs and reporting requirements
Advise clients on best practices for Infor M3 Analytics integration, governance, and usage
Perform data modeling, ETL/ELT design, and performance tuning for Birst-based reporting environments
Leverage M3 CloudSuite data and the Infor Data Lake to create actionable reports and KPIs
Collaborate with client stakeholders to gather requirements and translate them into technical designs
Troubleshoot complex analytics issues and ensure data quality, accuracy, and consistency

What we offer

Health, Life, Dental Insurance
Short- and Long-Term Disability
Paid vacation
Sick leave
Holidays
401(k)

Fulltime

Staff Software Engineer

This position will design and build intelligent AI agent systems, LLM-based appl...

Location

United States , Dallas

Salary:

Not provided

JLL

Expiration Date

Until further notice

Requirements

4-6 years’ hands-on experience working as Sr AI/ML Developer with at least three complete agentic AI system implementations
4-6 years’ hands-on experience with cloud AI services (Azure OpenAI, AWS Bedrock, Google Vertex AI)
4-6 years hands-on experience with Python AI/ML frameworks (LangChain, LlamaIndex, Transformers, PyTorch)
4-6 years’ hands-on experience integrating LLMs with external systems and enterprise applications
Experience working with vector databases, knowledge graphs, and RAG pipeline development
Advising on best practices for AI agent development and enterprise AI integration processes
Experience in deploying AI models and agents in multiple environments (dev, staging, production)
Experience managing stakeholder communication regarding AI capabilities, limitations, and project timelines, including managing expectations, foreseeing AI-related risks and reporting them
Proficient in developing, deploying, and orchestrating multi-agent AI systems
Demonstrated proficiency in LLM fine-tuning, prompt engineering, and model optimization

Job Responsibility

Design and build intelligent AI agent systems, LLM-based applications, and autonomous workflow solutions within the context of our enterprise applications
Provide expertise in Large Language Models, multi-agent architectures, RAG systems, Python development, cloud AI services, and enterprise AI integration
Develop and deploy agentic AI solutions that can autonomously perform complex business tasks

What we offer

401(k) plan with matching company contributions
Comprehensive Medical, Dental & Vision Care
Paid parental leave at 100% of salary
Paid Time Off and Company Holidays
Early access to earned wages through Daily Pay

Fulltime

Sr. AI Deployment Manager

As an AI Deployment Manager, you will lead the end-to-end delivery lifecycle of ...

Location

United States , Tempe

Salary:

Not provided

Dialpad

Expiration Date

Until further notice

Requirements

5+ years in Technical Project Management, preferably in SaaS, CCaaS, or Enterprise AI
AI Literacy: understand the difference between a simple Chatbot and an Agent, comfortable discussing 'Context Windows,' 'Hallucination Rates,' and 'Inference Costs'
Agile/Hybrid Mastery: experience running sprints in a world where AI logic can be unpredictable, know how to pivot when an agent's reasoning path fails during testing
Stakeholder Management: ability to explain to a non-technical customer why an AI made a specific 'mistake' and how the team is adding a 'control' to prevent it
Scrappy: thrive in ambiguity, take full ownership of outcomes, and are driven by delivering tangible, measurable results for the customer, often working under tight timelines
Culture Builder: contribute to a dynamic team culture, focused on high-growth industry innovation, team collaboration, customer success, and having fun

Job Responsibility

Pod Leadership: Orchestrate a cross-functional team (FDEs, Architects, and Data Scientists) to deliver complex multi-agent systems
Scoping & Discovery: Work with customers to map their manual business processes (e.g., 'Inbound Lead Qualification') into structured agentic 'Skills' and 'Tasks'
Risk & Guardrail Management: Lead the 'Safety Review' of every deployment. Ensure agents have clear limits on their authority (e.g., 'The agent can draft an email but cannot hit 'Send' without human approval')
Evaluation & UAT: Define the 'Gold Dataset' (the ground truth) for User Acceptance Testing. Manage the process of 'grading' AI performance to ensure the agent meets the customer's accuracy requirements before go-live
Integration Coordination: Oversee the mapping of agent tool-calling to connectors (CRM, ERP, Billing systems), ensuring security and data privacy standards are met
Change Management: Partner with customer business leads to help showcase the value of our Agents to increase adoption
Ensure Success: Define success criteria, capture appropriate data, and report out on successes and failures

What we offer

Dialpad offers competitive benefits and perks, alongside a robust training program that helps you reach your full potential
We have designed our offices to be inclusive, offering a vibrant environment to cultivate collaboration and connection
Our exceptional culture, recognized repeatedly as a certified Great Place to Work, ensures every employee feels valued and empowered to contribute to our collective success

Fulltime

Sr. Network Engineer

Our organization is seeking a highly motivated, experienced, and communicative S...

Location

India , Pune

Salary:

Not provided

Workday

Expiration Date

Until further notice

Requirements

8+ years' total experience
Design, configure, implement, and maintain enterprise-level network infrastructure, including routers, switches (campus and data center), firewalls, wireless access points, and related services
Design, implement, and manage complex BGP routing solutions, including iBGP/eBGP peering, route reflectors, policy-based routing, traffic engineering using communities and other attributes, and troubleshooting complex BGP convergence and stability issues
Lead the design, build-out, and ongoing management of Main Distribution Frames (MDFs) and Intermediate Distribution Frames (IDFs), ensuring adherence to structured cabling standards, optimal cable management, power distribution, cooling, and physical security
Design, deploy, and manage the Juniper Mist AI-driven platform (including Mist Access Points, Mist Edge, and the Mist Cloud dashboard for AI-driven operations, Marvis Virtual Network Assistant, Wi-Fi Assurance, Wired Assurance, and WAN Assurance)
Deploy, manage, and optimize Palo Alto Networks' SD-WAN, firewalls, including policy creation, threat prevention, VPN configuration, and performance tuning
Architect, build, and manage secure and scalable network solutions within AWS cloud environments, including: Designing and implementing AWS Transit Gateway architectures for large-scale network connectivity (VPC attachments, Direct Connect Gateway, route propagation, network segmentation, and policy enforcement)
Setting up and managing AWS Gateway Load Balancer (GWLB) for deploying and scaling third-party virtual appliances
Establishing and managing VPC Peering connections (intra-region and inter-region) ensuring secure and optimized communication paths
Implementing comprehensive AWS traffic management solutions using services like Route 53 (DNS, health checks, routing policies), Elastic Load Balancing (ALB/NLB), and AWS Direct Connect for hybrid connectivity

Job Responsibility

Design, configure, implement, and maintain enterprise-level network infrastructure
Design, implement, and manage complex BGP routing solutions
Lead the design, build-out, and ongoing management of Main Distribution Frames (MDFs) and Intermediate Distribution Frames (IDFs)
Design, deploy, and manage the Juniper Mist AI-driven platform
Deploy, manage, and optimize Palo Alto Networks' SD-WAN, firewalls
Architect, build, and manage secure and scalable network solutions within AWS cloud environments
Implement, configure, and manage Zscaler Internet Access (ZIA) and Zscaler Private Access (ZPA) solutions
Lead network infrastructure projects from conception to completion
Monitor network performance and integrity
Develop and maintain comprehensive network documentation

Fulltime

New

Ai Risk Management Administrator

We are seeking an AI Risk Management Administrator to be responsible for support...

Location

United States , Marysville

Salary:

Not provided

Robert Half

Expiration Date

Until further notice

Requirements

Bachelor’s or Master’s degree in Computer Science, Data Science, AI/ML, Information Systems, Risk Management, or a related field
5+ years of experience in AI/ML, data science, model governance, or technology risk management (not just general IT risk)
Demonstrated experience implementing or operationalizing governance frameworks (e.g., AI governance, model risk management, data governance)
Strong understanding of AI risks, including bias, explainability, model drift, data quality, and security vulnerabilities
Experience working with AI regulations and frameworks (e.g., NIST AI RMF, EU AI Act, ISO/IEC AI standards, SR 11-7 model risk guidance)
Ability to translate between technical teams (data science/engineering) and control functions (risk, legal, compliance)
Strong analytical, problem-solving, and stakeholder management skills

Job Responsibility

Support the design, implementation, and continuous improvement of the enterprise AI governance structure, including operating models, roles, committees, and decision-making frameworks
Administer and maintain the AI risk management framework, including policies, standards, controls, and procedures, ensuring alignment with evolving governance needs
Bridge governance strategy and execution by supporting the operationalization of AI policies and standards across business and technical teams
Support AI system risk assessments across the AI lifecycle (design, development, deployment, operation, and retirement)
Maintain AI inventories, model documentation, risk registers, and audit artifacts (e.g., model cards, data lineage, controls evidence)
Monitor compliance with internal AI governance standards and external regulations (e.g., privacy, security, ethical AI requirements)
Coordinate governance forums and reviews with legal, compliance, security, and internal audit teams to address AI-related risks and ensure alignment with governance expectations
Track AI risk metrics, incidents, and remediation actions
prepare reports for leadership, risk committees, and regulators
Support third-party and vendor AI risk reviews, including due diligence and ongoing monitoring

What we offer

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

Fulltime

Responsible AI Sr Specialist

Location

Egypt , Giza

Salary:

Not provided

Vodafone

Expiration Date

Until further notice

Requirements

Previous experience in Privacy or/and technology or/and legal or/and relevant role
Ability to lead & influence cross functional teams
Excellent communication, presentation & reporting skills
Spotting any potential risk, provide potential solution if any or report to relevant management
Strong knowledge of GDPR, PDPL & EU AI Act
Deep understanding of Generative AI capabilities, LLM lifecycles, and Agentic Workflows
Familiar with the current company technical assets
Previous experience in technology or compliance or relevant roles

Job Responsibility

Collaborate with design and engineering teams to integrate responsible AI requirements into technical architecture, data pipelines, and model development processes
Develop and maintain responsible AI design standards, checklists, and frameworks to guide teams throughout the product lifecycle
Integrate Responsible AI activities as part of standard AI software development lifecycle (SDLC) processes to ensure seamless integration
Prepare and implement an Annual Local Responsible AI Plan aligned with global and local AI strategies
Develop and maintain a risk register, ensuring that remediation plans are defined and implemented for all identified non-compliance issues
Conduct AI risk assessments and impact analysis before and during deployment
Provide classification and identification of AI activities into Prohibited, High, Medium, and Low risk categories
Identify potential harms and develop mitigation strategies
Identify control deficiencies, issues, and instances of non-compliance
Build and manage an AI inventory — a centralized register of all AI systems and models in use, including their purpose, categorization, data sources, risk level, and ownership and ensure it is viewed on a regular basis

Sr. Manager, Data Science

As a Data Science Manager, you will lead the organization’s data science and AI ...

Location

United States , San Diego

Salary:

162000.00 - 242000.00 USD / Year

ResMed

Expiration Date

Until further notice

Requirements

8+ years of industry experience in Data Science, Machine Learning Engineering, or related fields
Master’s or PhD in Data Science, Machine Learning, Computer Science, Operations Research, Applied Statistics, Biomedical Informatics, or closely related disciplines
Proven experience managing and leading data science or AI teams, including mentoring junior members and developing team processes
Experience in productionization of AI models and collaboration with engineering for deployment and support
Excellent communication and stakeholder management skills
Proven ability to work across cross-functional teams and drive consensus on technical strategies and business priorities
Demonstrated expertise in model development, deployment, and performance evaluation for production-grade AI solutions
Strong foundation in probability, statistics, computer science, time series analysis, linear algebra, and discrete math
Extensive, practical experience applying advanced AI and machine learning methods—such as NLP, time-series analysis, computer vision, recommender systems, and reinforcement learning—using common algorithms, with a strong understanding of their real-world trade-offs in production settings
Extensive experience building and managing ETL pipelines and data workflows to handle large, complex structured and unstructured datasets, enabling their effective use in AI algorithm development

Job Responsibility

Stakeholder Engagement: Build strong partnerships with AI Product stakeholders, Product Management, Engineering, and business teams to identify business challenges, opportunities, and define requirements for AI solutions
AI Model Development Roadmap: Lead and continually refine the AI model development roadmap, ensuring alignment between technical strategy, business goals, and emerging opportunities
Risk Mitigation: Proactively identify and address AI-related risks, maintaining robust standards for model governance, compliance, and ethical deployment of AI solutions
Model Development Enablement: Anticipate and overcome challenges in data science projects by bridging gaps in technology, data, platforms, or skillsets to ensure teams have the resources and support needed for timely product delivery
Standardization of Experimentation: Establish and implement standardized processes for experimentation, including documentation, validation, and performance evaluation to ensure consistent, reproducible results
Technical Review and Guidance: Participate in code and model reviews, providing technical guidance to ensure model robustness and quality while identifying areas for improvement
Collaboration with Engineering: Partner with engineering teams to ensure smooth integration, scalability, and monitoring of AI models in production environments
Opportunity Analysis: Help stakeholders pinpoint key problem areas where AI solutions can deliver measurable impact, leveraging organizational data and advanced analytics
Team Leadership and Development: Mentor and empower a team of data scientists, fostering innovation and aligning technical skills with long-term AI strategy for impactful model delivery
Continuous Technical Strategization: Monitor industry and academic breakthroughs in AI to proactively set and evolve the technical roadmap, ensuring the team is prepared to deliver state-of-the-art solutions

What we offer

comprehensive medical, vision, dental, and life, AD&D, short-term and long-term disability insurance, sleep care management, Health Savings Account (HSA), Flexible Spending Account (FSA), commuter benefits, 401(k), Employee Stock Purchase Plan (ESPP), Employee Assistance Program (EAP), tuition assistance, Flexible Time Off (FTO), 11 paid holidays plus 3 floating days, eligible for 14 weeks of primary caregiver or two weeks of secondary caregiver leave

Fulltime

Sr. AI/ML Engineer

Utilities are accelerating their enterprise AI adoption across Operations, Custo...

Location

United States , San Francisco

Salary:

105.00 USD / Hour

Realign

Expiration Date

Until further notice

Requirements

Deep expertise in Machine Learning, Generative AI, LLMs, RAG, and AI orchestration
Strong understanding of Azure OpenAI, AWS Bedrock, or similar platforms
Experience deploying AI in regulated environments
Hands-on architectural and engineering leadership capabilities
Strong communication skills with VP/Senior Director stakeholders
10+ Years Experience

Job Responsibility

Define the enterprise AI vision, roadmap, and operating model
Identify and prioritize AI/ML/GenAI opportunities across business units
Drive design and deployment of AI solutions including consultation agents, hazard detection, regulatory Q&A automation, and contact center assistants
Establish AI governance, compliance, model risk management, and auditability frameworks
Lead cross-functional AI programs spanning IT, Operations, Customer Care, Regulatory, Safety, and Field Ops
Mentor and guide data scientists, ML engineers, architects, and product owners
Promote AI literacy, change management, and best practices across the enterprise

Sr. AI Deployment Manager

Dialpad

Location:
United States , Austin

Category:
IT - Software Development

Contract Type:
Not provided

Salary:

Job Description:

Job Responsibility:

Requirements:

Nice to have:

Additional Information:

Job Posted:
February 14, 2026

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