Sr. AI Deployment Manager Job at Dialpad (Tempe)

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

New

Sr. AI Deployment Manager

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

Location

United States , Austin

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
offices designed to be inclusive, offering a vibrant environment to cultivate collaboration and connection
exceptional culture, recognized repeatedly as a certified Great Place to Work

Sr. Distinguished AI Engineer

At Capital One, we are creating responsible and reliable AI systems, changing ba...

Location

United States , Cambridge, Massachusetts; New York, New York; Richmond, Virginia; San Jose, California; McLean, Virginia; San Francisco, California

Salary:

280600.00 - 384200.00 USD / Year

Capital One

Expiration Date

Until further notice

Requirements

Bachelor's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 10 years of experience developing AI and ML algorithms or technologies, or a Master's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 8 years of experience developing AI and ML algorithms or technologies
At least 10 years of experience programming with Python, Go, Scala, or Java

Job Responsibility

Partner with a cross-functional team of engineers, research scientists, technical program managers, and product managers to deliver AI-powered products
Design, develop, test, deploy, and support AI software components including foundation model training, large language model inference, similarity search, guardrails, model evaluation, experimentation, governance, and observability
Leverage a broad stack of Open Source and SaaS AI technologies such as AWS Ultraclusters, Huggingface, VectorDBs, Nemo Guardrails, PyTorch, and more
Invent and introduce state-of-the-art LLM optimization techniques to improve the performance — scalability, cost, latency, throughput — of large scale production AI systems
Contribute to the technical vision and the long term roadmap of foundational AI systems at Capital One

What we offer

comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being
performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI)

Fulltime

Sr. Applied AI Engineer, Generative AI Applications

HBS Foundry is a new initiative at Harvard Business School that helps founders b...

Location

United States , Boston

Salary:

Not provided

HBS

Expiration Date

Until further notice

Requirements

Minimum of seven years’ post-secondary education or relevant work experience
A bachelor's degree in computer science, data science, or a related field is required
Strong proficiency in programming languages such as Python and Java
Experience with AI frameworks like TensorFlow and PyTorch
Strong analytical and logical thinking skills to tackle complex problems
Ability to work effectively with cross-functional teams
Familiarity with cloud platforms is often beneficial

Job Responsibility

Lead comprehensive applications/web development for highly complex projects
Deliver strategic and expert coding
focus on overarching development strategy for a large, complex, multi-faceted application
May manage a number of projects simultaneously
Design, develop, and deploy state-of-the-art generative AI models
Build trust and collaboration by being present on-site and engaging directly with colleagues and various constituents
Develop and train AI models: Create and train machine learning models and neural networks for tasks like data analysis, natural language processing, and computer vision
Implement and integrate AI: Write code to integrate AI functionality into existing software and ensure seamless deployment with other systems and APIs
Data preprocessing: Clean, prepare, and manage large datasets to be used for training and fine-tuning models
Optimize performance: Design and optimize machine learning algorithms for scalability and high performance and continuously monitor and test AI systems for improvement

What we offer

Generous paid time off including parental leave
Medical, dental, and vision health insurance coverage starting on day one
Retirement plans with university contributions
Wellbeing and mental health resources
Support for families and caregivers
Professional development opportunities including tuition assistance and reimbursement
Commuter benefits, discounts and campus perks

New

Sr Devops Engineer - Cloud(Python, Azure)

Scope: Core responsibilities include designing, developing, and maintaining appl...

Location

India , Bangalore

Salary:

Not provided

Blue Yonder

Expiration Date

Until further notice

Requirements

Bachelor’s degree in computer science, Engineering, or related discipline (or equivalent hands-on experience)
5–7 years of combined DevOps + Development experience
Experience in: Azure Cloud and Azure AI Foundry (model deployment, agent operations, flow orchestration)
Microservices development (Java/Python/Node.js)
CI/CD automation (GitHub Actions)
Kubernetes, Docker, container-based deployments
Infrastructure as Code using Terraform
REST API design and integration
SQL and distributed data platforms (Snowflake preferred)
Expertise in: Azure Foundry workspace setup, model region support, model/agent lifecycle

Job Responsibility

Design, develop, and maintain backend services and cloud-native applications
Build and automate CI/CD pipelines for both application code and AI Foundry models/agents
Automate cloud infrastructure provisioning using Terraform
Manage Azure Foundry deployments, including model endpoints, agent workflows, service configurations, and lifecycle tracking
Deploy containerized workloads on Kubernetes (AKS) and manage Helm-based releases
Implement monitoring, alerting, and observability for applications, Foundry agents, and pipelines
Perform debugging, root-cause analysis, and environment support for production systems
Integrate automation tests and validation steps into CI/CD pipelines
Collaborate with product, AI, and engineering teams to build scalable and reliable solutions
Maintain strong coding standards, security best practices, and version control discipline

Fulltime

Sr Staff Data Scientist

The mission of the Data Science team at Mist is to leverage state-of-art ML and ...

Location

United States , San Jose

Salary:

148000.00 - 340500.00 USD / Year

Hewlett Packard Enterprise

Expiration Date

Until further notice

Requirements

MS or PhD in Computer Science, Electrical Engineering, Statistics, Applied Math, or a related quantitative discipline
Excellent understanding of machine learning techniques and algorithms, including clustering, anomaly detection, optimization, neural network etc
3+ years experiences building data science-driven solutions including data collection, feature selection, model training, post-deployment validation
Proficient in coding, (preferably in Python) processing large-scale data sets and developing machine learning models
Able to communicate effectively in a variety of formats and collaborate with diverse teams

Job Responsibility

Research and develop statistical learning models for data analysis
Collaborate with product management and engineering departments to understand company needs and devise possible solutions
Keep up-to-date with latest technology trends
Communicate results and ideas to key decision makers
Implement new statistical or other mathematical methodologies as needed for specific models or analysis
Optimize joint development efforts through appropriate database use and project design

What we offer

Comprehensive suite of benefits supporting physical, financial and emotional wellbeing
Personal and professional development programs
Inclusive workplace policies

Fulltime

New

Sr. AI Solutions Architect

As a Sr. AI Solutions Architect you are the bridge between a sophisticated AI pr...

Location

India , Bengaluru

Salary:

Not provided

Dialpad

Expiration Date

Until further notice

Requirements

5+ years of experience in a high-impact, customer-facing technical role such as Solutions Architect, Forward Deployed Engineering, Technical Consulting, MLOps, or Backend Engineering for SaaS/AI products
Familiarity with LLMs and Generative AI, specifically how to apply them to real-world tasks
Knowledge about using vector databases and orchestration frameworks (like LangChain or LlamaIndex) to build functional applications
Proven experience in advanced prompt engineering techniques (Chain-of-Thought, Few-Shot, ReAct) and LLM orchestration
Proven track record of deploying LLM-based applications at scale
Strong proficiency in working with APIs (REST, GraphQL) and specifically building/configuring MCP (Model Context Protocol) servers
Hands-on experience integrating with enterprise platforms like Zendesk, Salesforce, or ServiceNow
Proven ability to use Python or Node.js for scripting and building middleware or connectors
Experience with fine-tuning of models for specific deployment constraints
Unrivaled business acumen and the ability to simplify technical complexity and communicate clear trade-offs, value propositions, and project plans to both a core engineering team and a non-technical C-suite executive

Job Responsibility

Solutions Design: Ability to understand customer requirements quickly and accurately. Translate ambiguous business objectives into clear, shippable Agentic AI-powered solutions
Requirements Translation: Conduct deep-dive discovery sessions with customers to translate business objectives and SOPs into structured technical instructions for AI Agents
Prompt Engineering & Training: Design, test, and iterate on complex prompt architectures to ensure AI agents deliver high-accuracy outputs aligned with client brand voice and logic
AI Consulting: Confidence to consult, not just replicate. Desire to build transformational solutions for customers that revamp the way they do business
Stakeholder Management: Act as the technical face of the company during deployments, managing expectations and providing expert guidance in a fast-paced environment
Production Integration: Lead the end-to-end deployment of Agentic AI workflows into customer environments. Author multi-step prompts, retrieval pipelines, and decision logic that plug into CRMs, ERPs, and custom APIs via our MCP framework
Guardrails & Safety: Develop and deploy systems and automated evaluation layers to monitor for hallucinations, bias, and security breaches
Performance Optimization: Optimize your agents as part of the hypercare process with your customer post-integration. Provide baselines for KPIs like task containment rate, task success rate, and hallucinations
Monitoring & Observability: Set up advanced tracking systems to provide customers with "Explainable AI" dashboards
Product Alignment and Influence: Capture common customer pain points, successful integration patterns, and platform limitations discovered in the field. Synthesize and deliver this critical, high-value signal directly back to our core Product and Engineering teams to influence the product roadmap and accelerate feature development

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

New

Sr. AI Solutions Architect

As a Sr. AI Solutions Architect you are the bridge between a sophisticated AI pr...

Location

Canada , Kitchener

Salary:

Not provided

Dialpad

Expiration Date

Until further notice

Requirements

5+ years of experience in a high-impact, customer-facing technical role such as Solutions Architect, Forward Deployed Engineering, Technical Consulting, MLOps, or Backend Engineering for SaaS/AI products
Familiarity with LLMs and Generative AI, specifically how to apply them to real-world tasks
Knowledge about using vector databases and orchestration frameworks (like LangChain or LlamaIndex) to build functional applications
Proven experience in advanced prompt engineering techniques (Chain-of-Thought, Few-Shot, ReAct) and LLM orchestration
Proven track record of deploying LLM-based applications at scale
Strong proficiency in working with APIs (REST, GraphQL) and specifically building/configuring MCP (Model Context Protocol) servers
Hands-on experience integrating with enterprise platforms like Zendesk, Salesforce, or ServiceNow
Proven ability to use Python or Node.js for scripting and building middleware or connectors
Experience with fine-tuning of models for specific deployment constraints
Unrivaled business acumen and the ability to simplify technical complexity and communicate clear trade-offs, value propositions, and project plans to both a core engineering team and a non-technical C-suite executive

Job Responsibility

Solutions Design: Ability to understand customer requirements quickly and accurately. Translate ambiguous business objectives into clear, shippable Agentic AI-powered solutions
Requirements Translation: Conduct deep-dive discovery sessions with customers to translate business objectives and SOPs into structured technical instructions for AI Agents
Prompt Engineering & Training: Design, test, and iterate on complex prompt architectures to ensure AI agents deliver high-accuracy outputs aligned with client brand voice and logic
AI Consulting: Confidence to consult, not just replicate. Desire to build transformational solutions for customers that revamp the way they do business
Stakeholder Management: Act as the technical face of the company during deployments, managing expectations and providing expert guidance in a fast-paced environment
Production Integration: Lead the end-to-end deployment of Agentic AI workflows into customer environments. Author multi-step prompts, retrieval pipelines, and decision logic that plug into CRMs, ERPs, and custom APIs via our MCP framework
Guardrails & Safety: Develop and deploy systems and automated evaluation layers to monitor for hallucinations, bias, and security breaches
Performance Optimization: Optimize your agents as part of the hypercare process with your customer post-integration. Provide baselines for KPIs like task containment rate, task success rate, and hallucinations
Monitoring & Observability: Set up advanced tracking systems to provide customers with "Explainable AI" dashboards
Product Alignment and Influence: Capture common customer pain points, successful integration patterns, and platform limitations discovered in the field. Synthesize and deliver this critical, high-value signal directly back to our core Product and Engineering teams to influence the product roadmap and accelerate feature development

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

Sr. AI Deployment Manager

Dialpad

Location:
United States , Tempe

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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